job_title,location,company_name,job_desc Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Sr. Data Scientist/Machine Learning Engineer,"Miami, FL 33138 (Upper Eastside area)",aikiu,"This role is key to accelerating the growth of aikiú, since its main mission is focused on building a reputation as the main provider of – audience-based business intelligence - in the market.The Data Scientist position is of utmost relevance to aikiú, since the operations team is the machine that moves our company. This role is very wide and varied, since in order to maintain and improve our proven formula, you must design and implement solutions based on data and technologies, to respond to the needs of our customers, taking into account the market vision and the objective of leading them towards Performance – Driven Consulting.Expert level is required in the following or similar tools: Google Tag managerAdobe marketing cloud or similar.Hubspot or similarLooker or SimilarExcelBrandwatchResponsibilities: Implement and improve new, or pre-existing, operational strategies that take advantage of our database systems and processes.Support the operating team in the daily operation, through different marketing management channels and at different times of the process.Understand and communicate the business objectives of the client and aikiú to the operating team, through detailed implementation guidelines.Create and maintain the processes and decision standards in real time and generate documentation (tables, graphs, logical guidelines, etc.) so that the operating team is able to process data according to pre-existing standards and generate new ones for those who still they do not exist.Constantly question and monitor business logic and strategies at the operational level of the company, to identify gaps that could result in poor decision-making, developing recommendations in conjunction with aikiú’s team and management.Monitor the performance of aikiú’s operation’s team through metrics and indicators, as well as constantly audit project outcomes to ensure that aikiú standards and client objectives are being adequately met.Develop the relationship with our national and international technology partners.Lead the Business Operations and Analytics Department.In aikiú we support the development of the team not individualism, we encourage the use of the office with the home office, we do not accept the continued excuses, nor the buts, we encourage the how can we provide solutions to different situations, and with daily maximum effort together we will build our company of tomorrow.Job Type: Full-timeSalary: $70,000.00 to $110,000.00 /yearExperience:areas of algorithms: 5 years (Required)plus total: 5 years (Preferred)machine learning: 3 years (Required)professional it: 5 years (Required)working with data: 5 years (Required)Additional Compensation:BonusesWork Location:One locationFully RemoteBenefits:Health insuranceSigning bonusFlexible scheduleVisa Sponsorship Potentially Available:Yes: H-1B work authorizationYes: Other non-immigrant work authorization (e.g. L-1, TN, E-3, O-1, etc.)Yes: Immigrant visa sponsorship (e.g., green card sponsorship)Schedule:Monday to FridayBenefit Conditions:Only full-time employees eligible" Data Scientist Intern,"Beverly Hills, CA",NBCUniversal,"You love working with structured/unstructured data and can leverage data querying tools like SQL to extract information – both granular and high-level statistics, across cloud computing platforms. This information will help answer questions around our Ticketing/streaming Product, CRM/Marketing Campaigns, Paid Media, Digital and Social Media data. As part of the Business Intelligence team, you will work closely with stakeholders (both internal and external) to extract, summarize, model (using either R/Python or Big Data technologies) and inform leadership on KPI’s defined for the project through your high quality and timely analyses. Responsibilities: Ticketing Product Analytics Conversion Optimization A/B tests set-up, Reporting, analysis Generate meaningful insights and data visualizations Movie Product (Fandango 360) Attribution and modeling Assist with initiatives such as Proof of Concepts data extracts, Quality Assurance and other specifications Understand existing structure and help supporting models that enhances studio experience CRM/Paid marketing campaign analysis and reporting List creation through analysis of customer behavior and working with stakeholders Data operations Qualifications/Requirements Working towards a B.S. / M.S. degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical discipline Highly collaborative attitude to solve problems as part of a larger team Knowledgeable in one or more programs is required - SQL, Python, R, and Visualization toolsWorking understanding of PowerPoint Presentation and good grasp of Microsoft Excel features and functions to slice and dice dataDesired Characteristics In pursuit of an Associate, Bachelor or Graduate degree at an Accredited Institution and be able to provide documentation to confirm your degree in progress Current class standing of sophomore or above (30 credits) (rising sophomore, junior, or senior) Cumulative GPA of 3.0 or above Must be 18 years of age or older Must have unrestricted authorization to work in the U.S. without a visa or sponsorship Must be able to work on-site in Beverly Hills, CA Must be available during our program: June 1 – August 10, Monday – Friday, about 9am-6pm, approximately 40 hours/week, for 10 weeks Internship positions are paid and do not require school credit Recent graduates will not be eligible Follow our Fandango Intern IG page @fandangointerns Sub-Business Fandango Career Level Co-op/Intern City Beverly Hills State/Province California Country United States About Us At Fandango, we love movies. From showtimes and ticketing, to engaging content and innovations in movie going- we strive to deliver the perfect movie going experience—anytime, anywhere. And to be the go-to destination for moviegoers, we think it’s all about collaboration. Anyone can build a website or app, but it takes a special group across many disciplines to create an experience that can live across multiple platforms and connected devices. Thanks to an exceptional team, we’re working hard to make Fandango a little bit better every day. Our 30 million (and growing!) online and mobile monthly visitors can now buy movie tickets at over 25,000 screens nationwide and stay for exclusive trailers, our award-winning original video series, movie reviews, celebrity interviews and more. So, if you’re looking to inspire, be inspired and work at the intersection of entertainment and technology look no further than Fandango. Visit Fandango.com/careers for a behind-the-scenes look at Fandango and follow us on LinkedIn for the latest news and updates. Fandango is an NBCUniversal Company. Notices NBCUniversal’s policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable." Data Scientist - New College Grad,"Sunnyvale, CA 94085",Proofpoint,"It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. The Role Would you like to apply cutting edge data science techniques to help protect the world against cyber threats? At Proofpoint, we work with unique data sets and craft peta byte scale solutions to help protect some of the most targeted people especially in fortune 500 companies. One of the things that makes our problem space so challenging is that dynamic nature of the threat landscape. We need to outsmart the threat actors and be two steps ahead of the game. This is where static rule based systems can’t keep up with the sheer number of threat features we deal with and we need smarter machine learning solutions to help tackle the problem. As a member of our team, you will be part of the design and development of new game changing solutions that would have a real impact on the next generation security solutions at Proofpoint. Your day to day Analyze data to research and improvement classifiers Oversee creation of data sets for machine learning training/verification/testing Research improving and creating new models for improving classification Work with engineering to productionize models Develop methods to evaluation new machine learning models Create longer monitor of models. What You Bring to the Team Good understanding of machine learning algorithms, tools and platforms Experience in at least one of these Toolkits: numpy, scipy, scikit-learn, tensorflow, pytorch, keras, genism, vowpal wabbit, etc. Understanding of programming fundamentals Python proficiency Self-starter and intellectual curiosity Great communication skills, ability to explain predictive analytics to non-technical audience Proficiency in data exploration techniques and tools Proven understanding of scientific method Master/Ph.D. encourage If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!" Junior Data Scientist (Entry Level),"Plano, TX",Sigmoid,"About Sigmoid Analytics*Sigmoid is data solutions consulting company focused on building data engineering & data science solutions for large technology, financial services & retail CPG companies.Having started in 2013 by three IIT Kharagpur Alumni, Rahul, Lokesh & Mayur. we have now grown into a 200+ members strong team with offices in San Francisco, CA; Dallas, TX; Jersey City, NJ and Bangalore, India. Sigmoid is rapidly growing & is backed by Sequoia Capital.**Sigmoid, a leader in real-time interactive solutions & is a proud winner of the #Tie50 Award for 2018. We have been recognized as a winner among 7400+ companies across 28 countries. It's a heartwarming feeling, inspires us further to achieve greater heights in the times to come.**Basic Qualification: Currently studying in under-graduate course or with a Bachelor’s/ Master’s degree in Statistics/Engineering/ ScienceExperience: 0-3 yearsWhat will you be doing: You will undergo a training program for technology development, software development process & client communication.Once training is complete, you will be assigned a client team inside Sigmoid to work with on an active engagement. Duties will include, but not restricted to:Client engagement - Engage with clients to understand their business challengesData Science: Develop software along with team for data pipeline developmentData Analysis: For Development, Test environment Creation & monitoring data pipelinesExperience working in a global delivery model alongside offshore teams to solve data-intensive problems using Sigmoid’s data engineering frameworks and toolsGather client requirements onsite in US & provide context to the offshore teams based out of Bangalore, IndiaPresent the results of the work to the client’s senior management, offering actionable insights and recommendations that lead to measurable business impactBuild relationships with clients, helping them improve their consumption of analytics to drive their business operations and decision-makingWhat you will bring to the table:Ability to code and develop scalable software systemsA problem solving mindset - Ability to find the problem, and identify the root cause of the situationGood communication skills, so that you are able to connect with your colleagues and clientGood interpersonal skills - with your colleagues and clients. Both the client and your colleagues should be able to connect with you.What you will gain from the experience:An insight into the big data industry which is the latest trend in the IT industryIn depth knowledge of how data engineering works in real life scenarioOpportunity to interact with top level executives in the industry, and get hands on experience in Machine Learning, Data Science, Data EngineeringExposure - as to how we at Sigmoid uphold our business values, while interacting and working with clients in multiple countriesYou will learn a lot, and have an upper hand over your peers with regard to your knowledge of handling data, solving real life data related problems, interacting with clients on a real life basis. And having the opportunity to work with the top brains from premier educational institutions in USA & India.*Job Type: Full-timeSalary: $50,000.00 to $70,000.00 /yearWork authorization:United States (Required)Work Location:One locationMultiple locationsBenefits:Health insuranceDental insuranceVision insurancePaid time offRelocation assistance" Data Science Intern,"Los Angeles, CA 90013 (Central City East area)",Dolphin,"What We DoDolphin (withdolphin.com) is a free resource that helps you:Find high-impact jobs and internships solving pressing issues such as climate change, healthcare, education, space exploration and more.Stand out to recruiters with Q&As that our in-house recruiters work with you to polish to emphasize you're more than just a resume.Make up to $15,000 by referring your friends to high-impact jobs.What You'll DoDolphin is currently looking for Data Science interns for Summer 2020. Successful interns will be quantitative fast learners proficient in SQL, Python, Heap.io, and Google Analytics that also understand the Dolphin product and growth funnel in-depth.We believe that the highest-leverage thing to do right now is to connect talented people to roles tackling major problems they care about. The Data Science Intern will play a pivotal part in helping us achieve this mission.Responsibilities include:Analyzing our database of jobs for patterns in job types and job content.Analyzing user activity data patterns to find reasons why people engage and churn.Building a full funnel view of the user journey with our analytics stack.Making product recommendations based on the data.Helping the growth and product teams set up and track experiments.This internship is full-time from 6/1/2020 to 8/21/2020 in Los Angeles with possibility for remote work. Learn more at withdolphin.com.Job Types: Full-time, Temporary, Internship, ContractSalary: $25.00 /hourContract Renewal:LikelyFull Time Opportunity:YesWork Location:One locationFully RemoteBenefits:NoneSchedule:Monday to Friday" 2020 Fulltime: Data Scientist - Technology,"Plano, TX 75024",Walmart,"Position Summary... What you'll do... Develops analytical models to drive analytics insights by gathering data from internal and external sources; evaluating data usability based on project goals; synthesizing data into large datasets to support project goals; developing statistical models and computational algorithms to analyze data; utilizing the analytics project lifecycle process to drive predictive modeling; coding, testing, and maintaining analytical software tools; identifying trends, patterns and discrepancies in data; training statistical models for replication for future projects; and presenting data insights and recommendations to key stakeholders. Leads small and participates in large data analytics project teams by serving as a technical lead for analytics projects; working with project teams and business partners to determine project goals; developing contingency plans for data analysis; determining modeling based on business needs; directing the analysis of data; gathering data and developing reports as needed; utilizing business knowledge to ensure data supports project goals; analyzing data based on identified variables; reviewing data results to ensure accuracy; and communicating results and insights to the project team and business partners. Presents data insights and recommendations to key stakeholders by developing insights based on data analysis; applying analytical results to project goals; identifying trends and key insights; translating results into business actions; and presenting insights and recommendations to key stakeholders. Participates in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; building and maintaining a library of reusable algorithms for future use; ensuring developed code is documented; and coaching and mentoring analysts across the division and project teams. Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications: Bachelor of Science and 2 years' data science experience OR Master of Science and 1 year's data science experience. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Analytics - Big Data, Business Analytics, Oracle, Programming Languages, Relational Database Management System (RDMS), Statistical Programming Language Bachelors: Analytics, Bachelors: Economics, Bachelors: Mathematics, Bachelors: Statistics, Doctorate: Analytics, Doctorate: Mathematics, Doctorate: Statistics, Masters: Analytics, Masters: Economics, Masters: Mathematics, Masters: Statistics" Data Scientist (All Levels) - Santa Clara,"Santa Clara, CA 95050",LeanTaaS,"Help build technology that saves lives! LeanTaaS is a fast-growing healthcare technology company that uses sophisticated optimization, simulation, and machine learning to make healthcare providers more efficient. Our technology opens capacity at many of the best US hospitals (Stanford, UCSF, Duke, etc.), so that more patients can receive the best care on the planet Our leadership includes a senior partner from McKinsey and Google executives We are a market leader in our space We recently raised the last $40M tranche of our Series C from Goldman Sachs bringing the investment total to $110M We are in CBInsights’ top 100 AI companies in the world We welcome mission-driven data scientists across all experience levels. If our mission of improving patient access to healthcare and their experience is exciting to you, come talk to us! You will:Work in a small data science team imbedded into one of our four product verticals Make sense of complex electronic health record (EHR) data related to surgeries, doctors, patients, etc. and help us derive greater value from our data Enhance our simulation, optimization, and prediction capabilities Own your projects end-to-end including a technology stack, data consumption, modeling, algorithm development and evaluation, and production deployment Wear a product hat to ideate and iterate on features and experiences that allow your users to run hospitals like a clock Meet with customers to get their feedback on your services and seek to improve them Who you are:You have an advanced degree in operations research, machine learning, or a related field and 2+ years of relevant industry or academic experience You have strong analytical and problem solving skills and a deep understanding in at least one sub-area of operations research or machine learning You write clean Python and SQL code You collaborate with cross-functional species like product managers, data engineers, and data analysts You communicate complex quantitative matters in a clear, precise, and actionable manner You have a great sense of ownership and attention to detail" Data Scientist - HBO Max,"Burbank, CA",HBO Max,"Opportunity Overview HBO Max is the future of entertainment and storytelling. WarnerMedia’s new streaming entertainment offering, HBO Max is the culmination of some of the most innovative new technology and greatest creative talent in the industry. Anchored by the entire HBO service, arguably the greatest brand in television, HBO Max also features fan favorites from the WarnerMedia library including Warner Bros., New Line, DC, CNN, TNT, TBS, truTV, Turner Classic Movies, Cartoon Network, Adult Swim, Crunchyroll, Rooster Teeth, Looney Tunes, and more. HBO Max will also be home to key third-party library acquisitions, such as Friends, South Park and Doctor Who, and more than 50 exclusive Originals in its first year, from the likes of groundbreaking creative talent such as J.J. Abrams, Ridley Scott, Jordan Peele, Steven Soderbergh, Michael Mann, Mindy Kaling, Reese Witherspoon, Anna Kendrick, Greg Berlanti, Melissa McCarthy, Robert Zemeckis, Ellen DeGeneres, and other visionaries. HBO Max launches in May 2020. The Job The Data Scientist will be responsible for leveraging data analytics, visualization and data science to help driving growth and improving retention for our new streaming service HBO Max. You will build data science models, perform advanced analytics and data mining to help business understating HBO Max consumers behaviors, drive improvements to acquisition and retention marketing. The Data Scientist will conceive analytic plans encompassing descriptive and predictive analytics, and unearth the story of the data, to help the company make informed choices that influence content, products, and our relationship with audiences. To achieve these objectives, this individual will mine data and apply machine learning techniques, using languages such as SQL, Python, and R. This role will work cross-functionally with data team, product team and closely with Marketing team.The Daily Generate useful features from large amount of data. Apply supervised and unsupervised machine learning techniques, such as linear and logistic regression, decision trees, and k-means clustering. Develop segmentation models, classification models, propensity models, LTV (customer lifetime value) models, experimental design, optimization (operation research) models. Perform statistical analysis such as KPI deep dives, marketing efficiency, behavioral clustering, and customer journey analytics. Curate audiences and inform engagement tactics to enable differentiated, relevant marketing touches across CRM channels (email, in app, push). Synthesize analytics and statistical approaches into easy-to-consume storylines, both visually and verbally, and provide indicated actions for executive audiences. Capture business requirements for data and analytic solutions and collaborate with the Marketing team to ensure business requirements align with business needs. Analyze content promotions and surface insights that will help drive viewership and a more loyal customer base. Support day-to-day collaboration with Marketing to communicate insights and recommend data informed strategies. The Essentials BA/BS in statistics, mathematics, economics, industrial engineering or other quantitative discipline. Experience building data science models (Regression, Decision Trees, K-Means, etc.). Experience with large data sets and analytical tools. Proficiency in scripting languages (SQL, Python, R, etc.). Knowledge of a dashboarding language (Tableau, looker, etc.) or equivalent report building experience not required but a plus. The Perks Exclusive WarnerMedia events and advance screenings Paid time off every year to volunteer Access to well-being tools, resources, and freebies Access to in-house learning and development resources Part of the WarnerMedia family of powerhouse brands WarnerMedia is a leading media and entertainment company that creates and distributes premium and popular content from a diverse array of talented storytellers and journalists to global audiences through its consumer brands including: HBO, HBO Now, HBO Max, Warner Bros., TNT, TBS, truTV, CNN, DC Entertainment, New Line, Cartoon Network, Adult Swim, Turner Classic Movies and others. Warner Media, LLC and its subsidiaries are equal opportunity employers. Qualified candidates will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law." Data Scientist Intern (Paid Internship),"Calabasas, CA 91301",The Cheesecake Factory,"Position Overview: You may know us as a company with great food…You may also know us from being named to the Fortune Magazine’s “100 Best Companies to Work For®”- seven years in a row! What you may not know is how much fun Cheesecake Internships are!As a Cheesecake Data Scientist Intern, you will play an integral part in supporting our Information Technology department by assisting with ongoing projects and responsibilities that relate to your future career. You’ll have the opportunity to learn the ins and outs of how an Information Technology department functions by interacting with the entire team as well as cross functionally with other departments.Reporting to the Senior Director of Business Intelligence and Integrations, you will work with a BI/Integrations team of 8 located in Calabasas Hills, CA, supporting the Information Technology function for a global $2.5 billion public company with over 290 full-service restaurants and more than 46,000 staff members.Here’s more of what you will get to do: Analyze business data to identify trends and patterns. Provide insight from data analysis using data science algorithms and methodologies. Leverage technologies including SQL, Python, and R Programming to analyze data. Present findings and recommendations.You’ll thrive in this internship if you are: A strong communicator: you’re capable of articulating a message in a clear, concise and conversational manner. Service minded: you’re a people person who effortlessly provides exceptional support whether it’s over the phone or in person. A team player: you love collaboration and always show respect for the views and contributions of others. A creative problem-solver: you have an uncanny ability to think outside-the-box, using the resources at hand to effortlessly get to the bottom of an issue. Qualifications What we require: Currently enrolled in a post-secondary educational institution. Completed a minimum 3 years in post-secondary education. Majoring in Data Analytics, Mathematics, or a related field. Minimum GPA of 3.0. Available to work a minimum of 40 hours per week. Proficient in SQL, Python and/or other Programming languages. Proficient in Microsoft Office (Word, Excel, Outlook, PowerPoint).About Us: Recognized as one of the FORTUNE “100 Best Companies to Work For"", The Cheesecake Factory Incorporated operates more than 290 full-service, casual dining restaurants throughout the U.S. and Puerto Rico. Internationally, twenty-one The Cheesecake Factory® restaurants operate under licensing agreements. Continuing on our path to becoming a Global Iconic Brand, we employ more than 46,000 staff members, with approximately 650 in the Support Center, FRC headquarters, and restaurant field supervision. #SoCheesecake #LifeAtCheesecakeThe Cheesecake Factory Incorporated is an Equal Opportunity and E-Verify Employer and provides reasonable accommodations consistent with its legal obligations; we do not provide work visa sponsorship." Data Scientist-Entry Level,"San Diego, CA",Codersdata,"Mining and analyzing client data to identify critical business insightsProactively developing new metrics and studies to quantify the value of different aspects of contentDesign multi-factor experiments and validate hypotheses.Translating analytic insights into concrete, actionable recommendations for business service or product improvement.Design and implement scalable and repeatable solutions, and establish scalable, efficient, automated processes for large scale data analysesDesirableProficiency at querying relational databases (SQL) and ability to pull data from various sourcesExperience with scripting language, such as PERL, Java, Python, etc.Experience with analytic tools such as R, SAS, SPSS, etc.Experience with open-source technologies such as No-SQL, Cassandra, Hadoop, Pig, Hive, HPCC Systems, etc.Experience with Machine Learning (classification and regression)Job Types: Full-time, ContractSalary: $60,000.00 to $90,000.00 /yearEducation:High school or equivalent (Preferred)Additional Compensation:Other formsWork Location:One locationBenefits:Health insuranceDental insurancePaid time offFlexible scheduleRelocation assistanceSchedule:Monday to Friday" Data Scientist,"Los Angeles, CA",UCLA,"The California Policy Lab creates data-driven insights for the public good. Our mission is to partner with California's state and local governments to generate scientific evidence that solves California's most urgent problems, including homelessness, poverty, crime, and education inequality. We facilitate close working partnerships between policymakers and researchers at UCLA and UC Berkeley to help evaluate and improve public programs through empirical research and technical assistance. The California Policy Lab is seeking an experienced Data Scientist to contribute to our organization's proven track record of bridging the gap between academic researchers and government policymakers. The Data Scientist will have the opportunity to work on a portfolio of projects applying statistical and machine learning to public policy research in homelessness, criminal justice, poverty, education, and labor. The successful candidate will be well versed in data manipulation, wrangling, and cleaning, with experience developing and evaluating predictive models. He or she will be passionate about using data science to find innovative solutions to the problems facing California policymakers and citizens. This position requires an individual who is able to work as a part of small research teams running multiple projects concurrently. We seek highly organized individuals with superior written and verbal communications skills and excellent time management ability. The Data Scientist also will be required to follow coding guidelines established by CPL and to contribute to the organization's efforts to build richly detailed documentation of the data we use. Percentage of Time: 100 Shift Start: 9:00 am Shift End: 5:00 pm Qualifications for Position 15 Records Qualifications Required/Preferred Applicants must have a bachelor's degree in computer science, statistics, mathematics, or other relevant field; master's degree preferred. Applicants must also have at least one year of relevant research experience; experience gained in school counts toward requirement. Two to three years of professional post-baccalaureate experience preferred Required Substantive knowledge of quantitative research methods including machine learning, data mining, pattern recognition, natural language processing, and statistical inference Required Mastery of data management and analysis using R or Python, preferably both Required Attention to detail and ability to organize and document workflow Required Strong initiative and a resourceful approach to problem-solving Required Superior verbal and written communication skills Required Ability to work independently and as part of a team Required Ability to multi-task with demanding timeframes Required Ability to work discreetly with sensitive and confidential data Required Experience working in an academic or think-tank environment Preferred Substantive knowledge or experience in at least one of our five core research areas: homelessness, criminal justice, poverty, education, or labor Preferred Project management experience Preferred Understanding of relational database concepts and experience with SQL, especially writing and optimizing complex queries, views and stored procedures on large databases Preferred Experience with frontend or backend software development in one or more general-purpose programming languages such as Javascript, Java, C#, or C+.+ Preferred Experience with business intelligence tools such as Tableau or PowerBI Preferred Additional Posting Information Bargaining Unit: 99-Policy Covered Application Deadline: 03-26-2020 External Posting Date:" Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Data Scientist,"Boston, MA 02108 (Downtown area)",SimpliSafe,"SimpliSafe is seeking a self-driven, curious data scientist to join our Ecommerce team. In this role, you'll be responsible for mining, analyzing, and modeling large structured and unstructured datasets to solve business questions and forecast key metrics. You'll be expected to creatively translate business problems into the appropriate data science methodology, evaluate the results rigorously, and transform the results into insights and recommendations that are clearly communicated to the business. Your work will have a major impact on our strategic decision making and business outcomes. Your responsibilities will include:Build and maintain propensity models that allow us to better segment and message prospects/customers across channels Own Ecommerce forecasting of key metrics Build tools that enable nimble scenario modeling for pricing, promotions and messaging plans Implement anomaly detection on key metrics to quickly identify shifts in performance Derive insights from data to influence product roadmaps and drive business results Qualifications:BS in a highly quantitative field (Computer Science, Statistics, Mathematics, Operations Research, Mechanical Engineering, Physics or related field) and 2 years data science experience OR MS/PhD and 1 year data science experience Skilled in SQL, R, Python, and statistical methods to analyze behavioral data Strong analytical, statistical, and math abilities Exceptional problem-solving skills Excellent communication skills Extreme attention to detail Ability to work collaboratively in a fast-paced environment Experience with a/b testing a plus" Associate Data Scientist,"Glendale, CA 91201 (Grand Central area)",Disney Television Animation,"The Walt Disney Company is a world-class entertainment and technology leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from: animation, theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences. Part of the Walt Disney Television Group, Disney Television Animation (DTVA) is a high-volume digital animation production studio. Because of DTVA’s strong use of commercial and custom software technologies to create its animation products, its use of technology, engineering, development techniques and software are critical to its production operations and workflows. Disney Television Animation Technology (DTVAT) innovates and delivers solutions that support our animation studio whose content is legendary and transcends generations. As part of the Technology team you’ll be joining a group of passionate, dedicated technologists solving a range of interesting problems in innovative ways in an exciting and dynamic industry. We are looking for high-performing, motivated individuals who are generalists and proficient in many technologies and languages. Our team embraces disruptive thinkers who can drive innovation. We’re looking for an intellectually curious, business-savvy, analytical powerhouse to join the Disney Television Animation Technology team as an Associate Data Scientist. In this role, you will be responsible for designing, building and channeling data visualization solutions across the various Disney Television Animation business departments. You will be working through industry research, participate in ongoing education, and apply practical experience while working along the path of becoming a leading subject matter expert in digital workflow and user behavior via data analyst. Minimum 1 year of work experience in media, advertising, or digital products driving measurable results is highly preferred. Excellent understanding of statistics and the ability to confidently translate statistical analyses into compelling and actionable recommendations. Strong experience with Excel and writing SQL to extract and manipulate data at the source Experience with any of the following tools is a plus: Spark, Hive / Hadoop Cloud data platforms D3.js MATLAB Excel R and ggplot2 Tableau Jupyter Matplotlib NLTK Scikit-learn TensorFlow Weka Experience with consumer behavior and insights analysis (transactional and usage). Self-motivated with the ability to work independently. Great written and verbal communication and teamwork skills. Proven ability in predictive analytics and modeling. Knowledge or background in data engineering is a plus. Required Education: Bachelor's degree in a related field or equivalent work experience Supporting the Disney Television Animation business, the Associate Data Scientist should be well versed in each of the following areas: Work closely with DTVA Technology department management to provide requirements, offer input, and track progress on infrastructure and engineering work streams that are relevant to the business. Working collaboratively with cross-functional teams consisting of: Executives, Software Developers, System Engineers, System Administrators and Site Reliability Engineers to create strategies around Knowledge Discovery / Data Mining. Apply statistical and modeling skills to enhance the understanding of our application and workflow data. Conduct hands-on research, business intelligence analysis and data mining on large, complex data sets to support the business. Collaborate and Ideate on building predictive models and algorithms to optimize software tools and data visualization solutions. Create and optimize data visualization models that enable us to target specific: business, financial, operational and technology needs. Analyzing the performance of applications, systems, processes in order to provide data and feedback tied to optimizations and refinements. Examining other ways to expand the use of data science for improved decision support. Help improve business decision support solutions by leveraging internal and external datasets. Contribute in technical discussions on data standards and tooling. Company Overview : English" Data Scientist,"Los Angeles, CA",Nexstar Broadcasting,"It's fun to work in a company where people truly believe in what they are doing! JOB SUMMARY: The Data Scientist will lead efforts to build better solutions and make more informed decisions using data. This position reports to the Chief Data Science Officer and works closely with members of the technology, product and operations teams. The Team The Nexstar Data Science team builds machine learning applications and other data-enabled solutions for the Nexstar Media Group. The datasets include online and offline data across multiple screens, thousands of campaigns running on television, mobile, desktop, and OTT. Principle Duties & Responsibilities: Analyze large datasets, using machine learning, to identify key factors of campaign performance Classify text and video content using natural language processing and other methods Implement and automate feature engineering algorithms and methods Develop contextual models to detect/predict audience behavior Integrate data assets from multiple internal and external systems Provide mentoring and guidance to other members of the team Specialized Knowledge/Skills/Abilities: Detailed-oriented Affinity for data and analysis Excellent interpersonal, written and verbal communications skills Technical capacity Enjoys working hard and is action-oriented Education & Experience: Required - BS in Statistics or related quantitative/scientific discipline Required - 3 years working experience Required - 3 years of experience using machine learning Required - 2 years of experience with Python Required - 2 years of experience using SQL Required - Experience with data analysis packages like scikit-learn Required – Experience with NLP solutions like Word2vec, LDA, BERT Preferred - MS/PHD in Statistics or related quantitative/scientific discipline Preferred - Experience with AWS Preferred - Experience working in the online marketing industry Preferred - Experience with yield optimization algorithms Work Environment/Mental/Physical Requirements : NOTE: This job description contains the basic requirements for the position and is NOT intended to be a complete list of responsibilities; other duties may be assigned. ********* EOE/MINORITIES/FEMALES/VETERANS/DISABLED ********* If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!" Data Scientist,"San Diego, CA",megha.s@jamyinteractives.com,"Required Experience and QualificationsMS/PhD in computer science, statistics, or operations research or related technical disciplineExtensive experience in a statistical and/or data science roleDeep knowledge of machine learning, statistics, optimization or related fieldExperience with R, Python, Matlabis required, programming in C, C++, JavaExperience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)Demonstrated experience with agile or other rapid development methodsExperience in similar digital settings contributing to building digital solutionsExcellent written and verbal communication skills along with strong desire to work in cross functional teamsAbility to convey rigorous mathematical concepts and considerations to non-expertsAbility to distil problem definitions, models, and constraints from informal business requirements, and to deal with ambiguity and competing objectivesBrings a high-energy and passionate outlook to the job and can influence those around themAble to build a sense of trust and rapport that creates a comfortable & effective workplacePassion for innovation and “can do” attitudeJob Type: Full-timeExperience:C++: 1 year (Preferred)Java: 1 year (Preferred)C: 1 year (Preferred)Data Scientist: 1 year (Preferred)Python: 1 year (Preferred)Education:Bachelor's (Preferred)Required travel:75% (Preferred)" Data Scientist,"Redwood City, CA",Spry Health,"Spry Health’s mission is to build the world’s largest physiological dataset to map human health, understand disease, and create new medical knowledge. We are innovating in the field of physiological signal processing and are looking for an experienced and motivated researcher to join our talented R&D team. The Research Engineer will take big responsibilities on our core science team and break new ground in health monitoring technology through physiological signal processing. We are the first to collect continuous physiological signals from thousands of patients. This is an opportunity to step into a highly innovative healthcare startup and make real-world impact. Our dataset contains important information that would be a building block in medicine and physiological monitoring, discovering new physiological biomarkers that will help us combat disease. Working with physiological signals from users who are going about their daily life is very challenging—we have made significant progress but are looking for someone who will take our team to the next level. You’ll get the opportunity to design and execute experiments with medical grade reference devices both in-house and with high profile clinical partners around the country and internationally. As a Spry Algorithm Engineer you will get exposed to all aspects of the business and have a chance to leverage the benefits of a small, cohesive, cross-functional team. This role is for you if you’re an independent individual eager to share your expertise as well as learn from our small team of world-class experts and engineers. You’re ready to dive into the enormous set of physiological data we’ve collected and lead your own projects combining signal processing, statistical modeling, and data analysis. You’re excited to face engineering challenges that have yet to be solved. Together we will invent brand-new technologies that will make a difference in peoples’ lives. As a member of the Algorithms Team, you will... Develop algorithms to extract vitals from physiological signals Solve estimation and filtering problems to remove artifacts from motion and other sources of interference Statistically model and analyze hardware, signal chain, and algorithm performance Create new sensor architectures Learn about physiology, medicine, and new technical concepts through regular seminars with the rest of the team Qualifications and Requirements PhD or Master’s with research experience in Engineering, Physics, Applied Physics, Math, Statistics, Computer Science, or related fields Experience working with low SNR signals, and parameter extraction in the presence of noise Strong foundation in math and statistics Proficient in Python and source control (Git) Interest in physiology or biology Ability to work independently with minimal input on broad project goals Eager to learn and excited to tackle unfamiliar engineering challenges with rigorous, analytical approaches Strong critical thinker, active listener, and great communicator Capacity to take work seriously while not taking oneself seriously—sense of humor is compulsory Spry Health is transforming medical practices by providing remote care solutions for patients with chronic illness. Our FDA-cleared wearable device is the first to deliver predictive insights to healthcare organizations through continuous vital sign monitoring. Spry’s lean team is comprised of some of the brightest minds in Silicon Valley. We are committed to empowering patients by preventing hospital admissions and reducing medical spending, making our workplace a great fit for those ready to take ownership of challenging and meaningful work. Ambition to fundamentally change how people interact with healthcare is a prerequisite for your success at Spry. If you are collaborative, humble, resourceful, passionate about healthcare innovation, and looking for opportunities to grow and succeed, we want to hear from you. Bonus points if you enjoy puns, good coffee, and cooking challenges (because we do). Spry Health is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Annual Salary Range: $100,000 - $135,000 Equity Range: 0.10 - 0.25% This is a full-time position in Redwood City, CA. Remote work is not an option at this time." Data Scientist,"Chicago, IL 60607 (West Loop Gate area)",WALGREENS,"Job Summary Applies advanced data analysis tools and techniques to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios. May explain findings to business audience.Job Responsibilities Responsible for applying advanced data analysis tools and techniques to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios. Interprets and applies data in complex analyses, and explains findings to business audiences to improve products and processes. May support or lead the development of data-related commercial offerings and/or other intellectual property (IP) Executes statistical and mathematical analyses to support business decision making. Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis, and data mining. Documents projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics. Develops materials to explain project findings. Effectively resolves problems and roadblocks as they occur. Interacts with internal and external peers and/or managers to exchange semi-complex information related to assigned activities. Prepares and presents interpretation of findings to internal clients. Walgreens (walgreens.com), one of the nation's largest drugstore chains, is included in the Retail Pharmacy USA Division of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), a global leader in retail and wholesale pharmacy. Walgreens is proud to be a neighborhood health, beauty and retail destination supporting communities across the country, and was named to FORTUNE* magazine’s 2019 Companies that Change the World list. Approximately 8 million customers interact with Walgreens in stores and online each day. As of August 31, 2019, Walgreens operates 9,277 drugstores with a presence in all 50 states, the District of Columbia, Puerto Rico and the U.S. Virgin Islands, along with its omnichannel business, Walgreens.com. Walgreens also provides specialty pharmacy and mail services and offers in-store clinics and other health care services throughout the United States, most of which are operated by our health care strategic partners.Basic Qualifications Bachelor's degree and at least 2 years of experience in quantitative or computational functions; or graduate degree in a quantitative, computational or technical discipline Knowledge of SQL Experience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences. Knowledge of open source data science and statistics packages such as Python, R, Spark, etc. Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to ensure quality standards for service. Experience analyzing and reporting data in order to identify issues, trends, or exceptions to drive improvement of results and find solutions. Willing to travel up to 10% of the time for business purposes (within state and out of state). Preferred Qualifications Graduate degree in a quantitative, computational or technical discipline" Data Scientist,"Los Angeles, CA",Supplyframe,"Summary As Data Scientist you will get the chance to work on wide spectrum of challenges, ranging from traditional problems in Search and Computational Advertising to domain-specific challenges in Graph learning, Document Summarization and Knowledge Engineering. Requirements PhD in Statistics, Machine Learning or related quantitative discipline Strong research background Passion for solving real-world problems Significant experience with R/Matlab Hadoop/Scripting knowledge is a plus Benefits Competitive salary and bonus program in an entrepreneurial environment Top notch health, dental, and vision insurance Stock options in a fast growing tech company 401k plan with matching contribution Generous paid time off plan plus paid holidays Frequent company sponsored lunches, happy hours, fun events, and plenty of snacks and drinks Supplyframe is an equal opportunity employer Interested? Send an email to h4x@supplyframe.com with a cover letter, your résumé, and include the job title in the subject line." Data Scientist/Visualization Master,"Los Angeles, CA 90067 (Century City area)",Intermedia Advertising,"We are seeking a Manager of Business Intelligence (BI Guru/Data Scientist/Visualization Master) to become an integral part of our team! You will analyze data and build visualizations to better understand business and market trends in order to increase our clients revenue and efficiency. This is a vital role to the success of our business. Responsibilities: Developing data analytics models to improve our attribution platform. Work with Junior analyst and developers to build our BI and analytics tools. Use data to understand business patterns and trends. Analyze internal and external data through quantitative research. Communicate findings to company through standard and ad hoc reports. Promote best practices in data analysis and reporting. Collaborate with cross-functional teams. Execution of analytical and operational special projects, as they arise. Qualifications: 4+ Years Previous experience in business intelligence, analysis, or other related field. Knowledge of statistical tools and business reporting (Qlikview, Tableau, DataMiner, R). Experience with Google Analytics. Advanced expertise in Microsoft Excel. Experience with Microsoft SQL and writing queries and stored procedures. Strong problem solving and critical thinking skills. Strong attention to detail. Ability to prioritize and multitask. Experience with Traditional or Digital media is a plus. A desire to learn new technologies and develop professionally is very important.About Intermedia AdvertisingFor the past 40 years, InterMedia has been a leader and prime innovator in direct marketing. We’re at the top of the direct marketing industry because we have blended proprietary and traditional resources to produce direct marketing campaigns that reliably provide a healthy return on our clients’ advertising investments. InterMedia always provides exceptional media efficiency, results-oriented creative, cutting-edge analytics and research—combined with a thorough dedication to client service." Data & Applied Scientist,"Redmond, WA",Microsoft,"Microsoft Cloud Capacity Planning is an exciting and fast evolving engineering group within Microsoft. MCCP’s mission is to optimize and deliver industry leading cloud infrastructure and foundational technologies for Microsoft’s online services. The organization is responsible for strategy and delivery of the foundational platform for all Microsoft Online Services including demand and capacity planning, supply chain management, data center planning and construction, operations, and incident management. MCCP supports over 200 online businesses including Bing, O365, OneDrive, Xbox and Windows Azure branded services. The MCCP Cloud Services Demand Forecasting team leads the global demand forecasting for all of Microsoft’s current and future on-line services. We are looking for outstanding Forecasters to join our team. We’re looking for someone who is passionate about forecast modeling and business analytics, is comfortable dealing with ambiguity and unknowns, with a track record of making data-driven decisions and recommendations to drive business value. Responsibilities In this role, you will get your hands dirty working with our team of Data Scientists and engineers to implement complex forecasting models using a variety of techniques (e.g., time series, regression, machine learning) to generate quality demand forecast. You will understand drivers of demand and the complexities of the cloud business, work with primary and secondary research, and present findings to senior executives across MSFT to support high-value and high-profile capacity investment decisions. You will solve ambiguous business problems and identify key macro and micro trends affecting the cloud industry demand. As a Demand Forecaster, you will also: · Participate collaborative v-teams across Engineering, Operations, Sales & Marketing, Capacity Planning, and Finance to drive end-to-end improvements in the capacity supply chain.Collect and generate requirements for Data Engineering to access new data sources, and for Data Science to generate new forecasting models to satisfy the needs of our business stakeholders.Apply “continuous improvement” techniques to implement long term solutions.Perform ad-hoc analysis on critical business issues related to cloud services demand and capacity. Qualifications Basic/Required Qualifications:BS and/or MS in mathematics, statistics, economics, engineering, computer science, operations research, analysis or IT-related technical field.Understanding and experience in forecasting science and predictive modeling.Minimum 3+ years of experience in any of the areas: supply chain, demand planning, advanced analytics, forecasting.Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check every two years. Preferred Qualifications:Solid analytics problem-solving skills; able to distill a problem down to its solvable parts and work a way through to a solution.Excellent creative thinking skills with emphasis on developing innovative solutions to solve complex problems that may not have one clear answer.Able to balance mathematical rigor with an action orientation to solve real business problems in a rapid timeframe.Adept at communicating findings: pliable to differing audiences, skilled at various data visualizations.Adept and passionate about building relationships across disparate teams and working in a matrix environment.Driven to not only solve problems but to collaborate with, contribute to, and learn from others, both inside our team and with our stakeholders in the Cloud supply chain (humble and teachable).Quick learner and able to adapt to changing environment and learn new, complex topics; a consummate learner.Self-starter who can move forward in the face of ambiguity and can help drive to clarity and impact in projects.Experience in data analytics and modeling using R, or if no R background willingness to learn.Experience accessing and working with data in SQL, or if no SQL background willingness to learn (applies to many other technologies as well). Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work." Senior Data Scientist (NLP),"Washington, DC",MRP,"A Washington, DC based Series-A startup is looking to add a Data Scientist to the team. Their product is designed for open source intelligence analysts and corporate risk management professionals in a variety of financial crime prevention and third party risk management roles. In this role you will be building out Machine Learning and NLP capabilities.Required Skills2+ years experience in Data ScienceStrong experience with Python, Java, or ScalaKnowledge of Spark and/or HadoopExperience with NLP, NLTK, Machine LearningExperience with TensorFlow, Keras, or PyTorchKnowledge of graph databasesAWS/GCP experience is a plus but not requiredBSCS or equivalent degreeBenefitsPTOEquityHealthcareGymFlex schedules401kJob Type: Full-timeSalary: $110,740.00 to $216,331.00 /yearWork Location:One locationFully RemoteBenefits:Health insuranceDental insuranceVision insuranceRetirement planSigning bonusPaid time offFlexible scheduleParental leaveSchedule:Monday to Friday" Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Data & Applied Scientist,"Redmond, WA",Microsoft,"Microsoft Cloud Capacity Planning is an exciting and fast evolving engineering group within Microsoft. MCCP’s mission is to optimize and deliver industry leading cloud infrastructure and foundational technologies for Microsoft’s online services. The organization is responsible for strategy and delivery of the foundational platform for all Microsoft Online Services including demand and capacity planning, supply chain management, data center planning and construction, operations, and incident management. MCCP supports over 200 online businesses including Bing, O365, OneDrive, Xbox and Windows Azure branded services. The MCCP Cloud Services Demand Forecasting team leads the global demand forecasting for all of Microsoft’s current and future on-line services. We are looking for outstanding Forecasters to join our team. We’re looking for someone who is passionate about forecast modeling and business analytics, is comfortable dealing with ambiguity and unknowns, with a track record of making data-driven decisions and recommendations to drive business value. Responsibilities In this role, you will get your hands dirty working with our team of Data Scientists and engineers to implement complex forecasting models using a variety of techniques (e.g., time series, regression, machine learning) to generate quality demand forecast. You will understand drivers of demand and the complexities of the cloud business, work with primary and secondary research, and present findings to senior executives across MSFT to support high-value and high-profile capacity investment decisions. You will solve ambiguous business problems and identify key macro and micro trends affecting the cloud industry demand. As a Demand Forecaster, you will also: · Participate collaborative v-teams across Engineering, Operations, Sales & Marketing, Capacity Planning, and Finance to drive end-to-end improvements in the capacity supply chain.Collect and generate requirements for Data Engineering to access new data sources, and for Data Science to generate new forecasting models to satisfy the needs of our business stakeholders.Apply “continuous improvement” techniques to implement long term solutions.Perform ad-hoc analysis on critical business issues related to cloud services demand and capacity. Qualifications Basic/Required Qualifications:BS and/or MS in mathematics, statistics, economics, engineering, computer science, operations research, analysis or IT-related technical field.Understanding and experience in forecasting science and predictive modeling.Minimum 3+ years of experience in any of the areas: supply chain, demand planning, advanced analytics, forecasting.Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check every two years. Preferred Qualifications:Solid analytics problem-solving skills; able to distill a problem down to its solvable parts and work a way through to a solution.Excellent creative thinking skills with emphasis on developing innovative solutions to solve complex problems that may not have one clear answer.Able to balance mathematical rigor with an action orientation to solve real business problems in a rapid timeframe.Adept at communicating findings: pliable to differing audiences, skilled at various data visualizations.Adept and passionate about building relationships across disparate teams and working in a matrix environment.Driven to not only solve problems but to collaborate with, contribute to, and learn from others, both inside our team and with our stakeholders in the Cloud supply chain (humble and teachable).Quick learner and able to adapt to changing environment and learn new, complex topics; a consummate learner.Self-starter who can move forward in the face of ambiguity and can help drive to clarity and impact in projects.Experience in data analytics and modeling using R, or if no R background willingness to learn.Experience accessing and working with data in SQL, or if no SQL background willingness to learn (applies to many other technologies as well). Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work." Senior Data Scientist (NLP),"Washington, DC",MRP,"A Washington, DC based Series-A startup is looking to add a Data Scientist to the team. Their product is designed for open source intelligence analysts and corporate risk management professionals in a variety of financial crime prevention and third party risk management roles. In this role you will be building out Machine Learning and NLP capabilities.Required Skills2+ years experience in Data ScienceStrong experience with Python, Java, or ScalaKnowledge of Spark and/or HadoopExperience with NLP, NLTK, Machine LearningExperience with TensorFlow, Keras, or PyTorchKnowledge of graph databasesAWS/GCP experience is a plus but not requiredBSCS or equivalent degreeBenefitsPTOEquityHealthcareGymFlex schedules401kJob Type: Full-timeSalary: $110,740.00 to $216,331.00 /yearWork Location:One locationFully RemoteBenefits:Health insuranceDental insuranceVision insuranceRetirement planSigning bonusPaid time offFlexible scheduleParental leaveSchedule:Monday to Friday" Data Scientist (Full-Time),Remote,proton.ai,"Notes: To apply for this position, please fill out an application here: https://app.beapplied.com/apply/2ldwjg5wep?utm_source=indeed_remote. We will not review applications on indeed.Job Description Data Scientist (Full-Time)Team: Data ScienceLocation: Boston, MAWho we are: At Proton, we're bringing cutting-edge machine learning to B2B distribution. By predicting what customers will buy, we're improving sales and efficiency, and driving growth. We're looking for an intern data scientist to help us make that vision a reality by developing and refining cutting-edge machine learning models and data processing systems.About the job: Our backend is largely written with Python, so some experience with that or another dynamic programming language are essential. We're also a small team — you'll need to be comfortable taking your idea from theory into deployment.As a data scientist, you'll collaborate with the team to improve models ranging from cyclic recommendations to churn prediction. We have lots of data from a growing client base, and use industry-standard tools such as TensorFlow for our modeling.Job Type: Full-timeSalary: $75,000.00 to $150,000.00 /yearEducation:Bachelor's (Preferred)Work Location:One locationBenefits:Paid time offFlexible scheduleHealth insuranceDental insuranceVision insuranceSchedule::Monday to Friday" Data Scientist,"Washington, DC",World Bank Group,"Job #: req6482 Organization: World Bank Sector: Poverty Reduction Grade: GF Term Duration: 3 years 0 months Recruitment Type: International Recruitment Location: Washington, DC,United States Required Language(s): English Preferred Language(s): Closing Date: 3/17/2020 (MM/DD/YYYY) at 11:59pm UTCDescription Do you want to build a career that is truly worthwhile? Working at the World Bank Group provides a unique opportunity for you to help our clients solve their greatest development challenges. The World Bank Group is one of the largest sources of funding and knowledge for developing countries; a unique global partnership of five institutions dedicated to ending extreme poverty, increasing shared prosperity and promoting sustainable development. With 189 member countries and more than 120 offices worldwide, we work with public and private sector partners, investing in groundbreaking projects and using data, research, and technology to develop solutions to the most urgent global challenges. For more information, visit www.worldbank.orgPoverty and Equity Global Practice The Poverty and Equity GP, part of the EFI Cluster of Global Practices, plays three key –leading and supportive– roles: sectoral integrator at country level; generator of knowledge and dialogue; and operational solutions supporter. The country-level work of the Poverty and Equity global practice typically falls under one or more of the following three streams: 1) Laying the foundations for evidence-based policy by strengthening data on household welfare: this is the foundational work, mostly delivered through TA and occasionally through statistical capacity-building investment operations, to support the design and implementation of household surveys, provide advice on best-practice methodologies for estimating household welfare, poverty, and shared prosperity, and build capacity and strengthen country systems for collecting data on and monitoring household welfare. 2) Defining the agenda through integrative analysis and dialogue: this stream of work has focused on using the household-level data, wherever available, to undertake integrative analyses to inform the policy dialogue and advance the poverty reduction and shared prosperity agenda and priorities at the regional, national and occasionally sub-national levels. 3) Delivering operational solutions: this stream of work focuses on collaborating with internal and external partners to translate the upstream analytics into concrete implementable measures and support the implementation of particular interventions aimed at reducing poverty. This includes supporting the preparation of Systematic Country Diagnostics and Country Partnership Frameworks, as well as the analysis of poverty and social impacts of Bank operations. The development and flow of global knowledge within the practice is facilitated through four cross-cutting global solution areas, each of which is led by a thematic Lead Economist. These are: (i) Poverty monitoring and statistical capacity building, (ii) Markets and institutions for poverty reduction and shared prosperity, (iii) Fiscal and social policy for poverty reduction and shared prosperity, and (iv) Resilience to shocks and sustainability of poverty reduction and shared prosperity.Equity Policy Lab Embedded in the Poverty and Equity Global Practice, the Equity Policy Lab is a team of data scientists and economists tasked with providing just-in-time assistance to teams working on the distributional impact of policy reforms. The objective is to increase the likelihood that the Bank’s analytical and operational work regularly considers the distributional impact of interventions by providing the appropriate just-in-time expertise. The Equity Policy Lab works with the Practice’s Global Solutions Groups to develop tools and solutions that can be used across teams. It ensures that these new tools and approaches are disseminated throughout the practice and across the Bank. The Lab also provides a space to improve existing models, pilot new methods and approaches that can support teams and clients in answering important policy design questions. The Equity Lab program is guided by the following principles: 1. Addressing World Bank Group’s commitment to assess the poverty and social impact of policy reforms through just-in-time assistance and tool development. The Equity Policy Lab enables teams to comply with the Bank’s corporate commitment to assess the potential distributional impact of policies in the context of its policy development lending by developing tools and providing an evidence base for its technical assistance and policy advice. This work includes development of ex-ante micro-simulation models, as well as diagnostic tools that can be used to guide projects and programs. 2. Introducing innovations and technologies in the distributional analysis of reforms to amplify the impact of the WBG’s thought leadership in evidence-based analysis of the distributional impact of policy reforms. 3. Promoting cross-sectoral collaboration and learning by embedding in country teams within Poverty GP and engaging with colleagues in other Global Practices, including the macro-fiscal, social protection, education and health Global Practices.Duties and Accountabilities The selected candidate will be based in Washington, DC. The Practice is seeking to recruit an economist or data scientist with strong quantitative methods and advanced programing skills, including working experience in micro-econometric analysis and statistical techniques. The selected candidate will support country poverty programs, embedding with country teams in the context of just-in-time support, and provide training and capacity building. Experiences and skills required to conduct such programs will be a plus. Specific responsibilities will include the following: i. Contribute to the development, implementation and/or improvement of standardized analytical/micro-simulation and visualization tools to support the Bank’s analytical and operational work; ii. Support poverty programs in selected countries engaging in operational work with clients to design and deliver innovative analytical work, capacity building services, financial products and technical assistance using recent development in technologies and methods; iii. Build partnerships with other groups in the WB, including Development Economics (DEC) teams and other Global Practices (GPs) on poverty, shared-prosperity and equity monitoring issues and applications using recent technologies and methods; iv. Disseminate knowledge gained across country and regional teams in the practice, increasing the use of web-based visualizations on these indicators to tell clear stories; v. Participate in activities and exchange information with other World Bank teams working on similar issues across sectors and Global Solution Groups. Like all members of the Poverty global practice, the economist/data scientist will also be expected to contribute to the global knowledge base of the practice.Selection Criteria 1) A Master’s or PhD degree in Economics, Statistics or Computer Science or a closely related field, with a minimum of five years’ relevant experience; 2) Technical and Quantitative Skills as an Applied Development Microeconomist - Has experience in microeconometrics and statistical modeling – working with household surveys & performing complex econometric analysis; 3) Experience building or working with micro-simulation models to assess the distributional impact of alternative policy reforms. Experience working with both household and administrative data is desirable. 4) Advanced programing skills in modern statistics, scripts and programming languages such as Stata/Mata, R & Python, and Excel macros (VBA) with a publication record of user-written routines; 5) Commitment to teamwork, knowledge-sharing, and ability to influence across organizational boundaries; Experience in using Git or code sharing platforms; 6) Demonstrated ability to develop and implement complex tasks, including a track record of building partnerships and collaborations across institutional boundaries; 7) Demonstrated ability to multi-task and to effectively carry out multi-disciplinary analyses; 8) Excellent written and verbal communications skills. In particular, the candidate will exhibit the ability to communicate ideas effectively and to interpret statistical data quickly and clearly, including with informative graphs and charts; Experience working with Business Intelligence (BI) tools and in preparing data visualizations such as Tableau, R-Shiny, D3, etc. is desirable; 9) Strong interpersonal skills and a demonstrated track record of meeting tight deadlines and of working in a multicultural team environment with multiple priorities; 10) Ability to work with staff from all levels and to mentor, coach and motivate more junior staff. 11) Reading, Writing and Spoken fluency in Portuguese, Arabic, French and Spanish is desirable.Competencies: The WBG core competencies are:Lead and Innovate - Develops innovative solutions.Deliver Results for Clients- Proactively addresses clients’ stated and unstated needs.Collaborate Within Teams and Across Boundaries- Collaborates across boundaries, gives own perspective and willingly receives diverse perspectives.Create, Apply and Share Knowledge- Applies knowledge across WBG to strengthen solutions for internal and/or external clients.Make Smart Decisions- Interprets a wide range of information and pushes to move forward. Poverty has no borders, neither does excellence. We succeed because of our differences and we continuously search for qualified individuals with diverse backgrounds from around the globe." Data Scientist - Nationwide Opportunities,"Santa Monica, CA","Amazon Web Services, Inc.","Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experienceExperience with ML fields, e.g., natural language processing, computer vision, statistical learning theory4+ years of industry experience in predictive modeling, data science, and analysisExperience in an ML engineer or data scientist role building ML modelsExperience writing code in Python, R, Scala, Java, C++ with documentation for reproducibilityExperience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop modelsExperience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI) and Machine Learning (ML)? Excited by using massive amounts of disparate data to develop ML models? Eager to learn to apply ML to a diverse array of enterprise use cases? Thrilled to be a part of Amazon who has been pioneering and shaping the world’s AI/ML technology for decades? At Amazon Web Services (AWS), we are helping large enterprises build ML models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions. AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. This is a customer-facing role and you will be required to travel to client locations and deliver professional services as needed. Major responsibilities include:Assist customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organizationUse AWS AI services (e.g., Personalize), ML platforms (SageMaker), and frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to help our customers build ML modelsResearch and implement novel ML approaches, including hardware optimizations on platforms such as AWS InferentiaWork with our other Professional Services consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our Professional Services engineers to operationalize customers’ models after they are prototyped BASIC QUALIFICATIONSBachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experienceExperience with ML fields, e.g., natural language processing, computer vision, statistical learning theory4+ years of industry experience in predictive modeling, data science, and analysisExperience in an ML engineer or data scientist role building ML modelsExperience writing code in Python, R, Scala, Java, C++ with documentation for reproducibilityExperience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop modelsExperience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations PREFERRED QUALIFICATIONSMater’s degree of PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships.Publications or presentations in recognized ML journals or conferencesDeep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organizationDemonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Mater’s degree of PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships.Publications or presentations in recognized ML journals or conferencesDeep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organizationDemonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records." Data Scientist,"Basking Ridge, NJ",Teckstar,"Job SummaryStatic Client techniquesTensorflowJob Types: Full-time, ContractExperience:Data scientist: 8 years (Required)" Senior Data Scientist,"Irving, TX",Nespon IT Services,"US Citizens, GC holders with min 10 years of exp, and at least 5 years of exp as Data ScientistH1B with more than 10 years at least 5 years of exp as Data Scientist can applyC2C and 1099 is allowed.Phd is preferred, Masters Degree is required with Engineering or Science or Mathematics backgroundPay Rate is openThis will be a 6 to 12 month contract with possible extensionExpert in statistical modeling/data miningExperience with SQL ServerExperience in data analysis, predictive modeling, and data mining techniquesAble to analyze problems and strategize for better solutionsExcellent verbal and written communication skillsAble to multitask, prioritize, and manage time effectivelyComfortable in both a leadership and team-player roleCreative problem solver who thrives when presented with a challengeGoal-oriented, organized team playerEncouraging to team and staff; able to mentor and leadBachelor’s degree in computer science, engineering, mathematics or related field; Master’s degree in computer science, mathematics or related field preferredFour years of relevant industry experienceStrong familiarity and hands-on experience with SQL and statistical software packages (Python, R, SAS)Knowledge of tools and techniques in machine learningExpert in relational database design and conceptsExpert in one or more programming languages (C/C++, Python, Perl, Java)Experience in genetic algorithms, logistic and linear regression, PCA, decision tree analysis and statistical methodsJob Types: Full-time, ContractSalary: $75.00 to $85.00 /hourExperience:Data Science: 8 years (Preferred)As a Data Scientist: 5 years (Required)predictive modelling: 10 years (Preferred)data mining: 10 years (Preferred)SQL: 10 years (Preferred)Python: 10 years (Preferred)C/C++: 10 years (Preferred)Data Analysis: 10 years (Preferred)Machine Learning: 7 years (Preferred)C#: 10 years (Preferred)statistical modelling: 10 years (Preferred)Education:Master's (Preferred)" Data Scientist - Entry Level,Remote,Pathrise,"What is Pathrise? Pathrise (YC W18) is an online program for tech professionals that provides 1-on-1 mentorship, training and advice to help you land your next job. On top of that, we're built around aligned incentives. You only pay if you succeed in getting hired and start work at a high-paying job first. Everyday we are expanding our team and our services. We are looking for sharp, scrappy and fun individuals who are ready to jump in (head first) into a new role with us. We are a small team and we love working together to improve our fellows chances of getting the job of their dreams! If this sounds like something you'd be interested in we want to talk to you.Our Mission We seek to uplift job seekers in their careers and help them fulfill their hopes, ambitions and livelihoods. Read more about why we’re driven to do this in our manifesto. In this role, you will create a framework for how we utilize our own data. If you are someone comfortable with qualitative data and can see the amazing potential we have to be a forerunner in this new job seekers market then this could be the perfect role for you. In order to be effective in this role, you must have a genuine interest in education and technology. Since you will be involved in all phases of coursework from research, development, design and feedback we are looking for someone who is not only passionate but also in love with our Mission of “uplifting undervalued students and tech professional in their early careers.” A large portion of this role will also be handling admissions, mentoring, instruction and other curriculum processes in a “teaching assistant” type position. It will be a combination of functional work and supporting the instruction staff. This position is ideal for someone with a passion for data science and education, who is entrepreneurial and wants to join a fast-growing startup that's helping the next generation of data scientists! Depending on each candidate’s qualifications, this position could also be approached as a contract or contract-to-hire role as well. Qualifications 0-3 years in data science Excellent communication skills, ability to understand customer needs and provide valuable recommendations Strong Python and SQL skills Able to effectively synthesize, visualize, and communicate your ideas to others Familiar with key data engineering concepts Experience with data visualization Benefits and perks Great health, dental and vision benefits Free daily catered lunches and snacks Commuting costs covered Flexible PTO Ability to grow in your career and make a difference to individuals and society What will I be doing? Being involved with product discussions about high impact features to build for job seekers Help with various data analysis projects and elements of the data curriculum Review industry evaluations and handle admissions conversations with potential fellows Contribute to curriculum and teaching sessions and workshops Handle fellow queries for job search support and interview practice We do not discriminate on the basis of race, religion, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by law. If you need assistance or an accommodation due to a disability, please let us know.If you are also interested in the fellowship, please apply here: https://www.pathrise.com/apply." Data Scientist,"Los Angeles, CA 90079",Adavance2,"About the position Advance2 is a fast-growing marketing optimization tech startup. We’re bringing the world of marketing optimization to the next level leveraging Machine Learning. Advance2 automates data collection, model building, insights extraction and optimization of our clients’ business. We are looking for a Data Scientist to be part of the Product Development team. You will be working alongside a small cross-functional team of Engineers and Data Scientists. You will enjoy designing, developing and deploying to production data-based approaches to solving difficult business and product problems. The Data Scientist will be responsible for leveraging their expertise in data processing, statistical modeling, ML, and AI to build product solutions at scale. You will thrive in this role of you love problem-solving, analytical thinking and combining doing math on the whiteboard with coding.Responsibilities Design, develop and deploy Machine Learning algorithms to production. Collaborate with Software Engineers to streamline and optimize model building and deployment. Partner with Product Managers to help prioritize and deliver product features. Apply Machine Learning and Artificial Intelligence expertise to build prototypes and translate them into product features. Contribute in creating a data-driven approach to complex business problems in the company. Qualifications M.A./M.S. or Ph.D. degree in Statistics, Mathematics, Economics, Physics, or Engineering 3+ years of experience in building predictive models using statistics and/or Machine Learning at scale. Experience with extracting and delivering causal relationship findings from predictive models. Working knowledge of Python and related data science libraries (NumPy, Pandas, Scikit-learn, SciPy). Media/Agency experience is a plus. Experience with data visualization is a plus. About Advance2 Advance2 is the next generation AI-driven marketing optimization platform. We help our clients continuously optimize their marketing budget with a holistic approach by leveraging Machine Learning and automation. While advanced Machine Learning algorithms are often perceived as black-boxes, we strive to bring a human touch to our AI engine, conveying the thought process underlying the AI recommendations with the help of advanced visualizations." Data Scientist,"Pasadena, CA",Deep 6 AI,"Deep 6 AI is a fast-growing tech startup in Pasadena, California looking for talented team members who want to help shape our groundbreaking artificial intelligence platform. Our software helps doctors and researchers find patients for clinical trials, getting life-saving cures to people who need them, faster. Come join a fun, scrappy team that’s using the latest tech to solve really fascinating technical problems. You’ll enjoy competitive compensation, an awesome work environment in Pasadena, and stock options in a fast-growing tech company. Forbes named us as one of the Top 50 AI companies to watch and we’re just getting started! The Opportunity: As a Data Scientist, you will have the opportunity to incorporate text analysis and machine learning techniques into a large-scale processing pipeline. Our goal is to transform raw medical data into actionable patient information. What You’ll Do:End-to-end data collection, model development and testing, and integration into production environment.Develop data-driven insights and machine learning models to identify and extract facts from electronic medical records.Ensure that approaches are scalable and can be deployed across multiple clouds and hospitals.Work in a highly collaborative team of data scientists that work closely with numerous groups throughout D6, hospitals and life sciences companies to ensure the highest impact work is prioritized and delivered. Requirements:3+ years of experience as a data scientist, building NLP, Deep Learning or AI applications.Strong programming skills in python, Java, or scala with a demonstrable understanding of Object-oriented programming principles.Experience with unsupervised and supervised ML methods.A firm grasp of mathematics/statistics. Preferred Background:M.S. or Ph.D. degree in STEM field, with explicit application of ML/statistics tools/methods.Strong background in time-series analytics, dynamical systems, probabilistic state modeling and/or reinforcement learning.Bonus points for significant experience working with large datasets and large-scale production and their accompanying tools (e.g. hadoop, spark, cloud-based architectures, etc.).Experience with large enterprise integrations leveraging contemporary and dated technologiesExperience with data science applied to Healthcare systems a plus. The above statements describe the general nature and level of work being performed in this job function. They're not intended to be an exhaustive list of all duties, and indeed additional responsibilities may be assigned by Deep 6. At Deep 6, we appreciate the opportunity to benefit from the diverse backgrounds and experiences of others. Because of our deep commitment to respect every individual, Deep 6 is an equal opportunity employer." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Data Scientist, New Graduate (2020)","Pittsburgh, PA",Duolingo,"Support data-driven product decisions that impact the lives of millions everyday. Data is the bread-and-butter of Duolingo. Join our team of data scientists and use our database of rich user data to generate insights to guide product development for 300 million learners worldwide. You will learn deeply and broadly from an experienced team of award-winning engineers, designers, researchers, and analysts. We are passionate about educating our users, making fact-based decisions, and finding elegant solutions to complex problems. While we take our mission to heart, we don't take ourselves too seriously; we are creative, and we have fun at work everyday. If this sounds like you, then come help us build the next-generation learning company! Responsibilities:Derive insights from data to influence product roadmaps and drive business results Lead product experiments to create and optimize user experiences Apply advanced statistical methods to model user behavior Problem-solve with product development teams through data analysis Own dashboards, reports, and forecasts Ensure the quality of our tracking and data Help preserve our culture of fact-based decision making as we scale Requirements:Strong understanding of consumer digital products Pursuing a BS or MS degree in a quantitative field (e.g.: statistics, economics, computer science) Graduation expected in 2021 (or sooner) Previous experience analyzing large datasets and communicating results Skilled in SQL, R, Python, and/or statistical methods to analyze behavioral data Excellent presentation and communication skills Able to relocate to Pittsburgh, PA Exceptional Candidates:Experience with ""big data"" technologies like Redshift, Hadoop, Hive, BigQuery Experience articulating business questions and using available data to find answers that translate into product recommendations Demonstrated self-direction, with a desire both to learn new techniques and teach others Programming experience in Java or Scala a plus" Data Scientist / Machine Learning Engineer,"Philadelphia, PA",Excel Technologies Solutions,"Data Scientist / Machine Learning EngineerSeeking a Azure Big Data Machine Learning Engineer where you will help leverage data to make informed decisions. You will be knowledgeable of cloud based architectures and Azure technologies. You will be passionate about Machine Learning, Deep Learning, and be an expert with Azure ML with knowledge of AutoML, MLOps, and data science on ML platform.Well versed with Data Science, Machine learning and Deep Learning based solutions and frameworks. Apply technical knowledge to architect solutions that meet business and IT needs, create enterprise development roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies where appropriate (e.g. Azure Machine Learning, Machine Learning Server, BOT framework, Cognitive Services, Azure Databricks, etc.)Ability to Interpret the logical side of the data, demonstrate leadership in advanced Analytics, support leading project tasks, experience with ETL tools, Python coding required-At least 2 years preferred, Hands-on with Spark, SQL highly preferred.Job Type: ContractSalary: $60.00 to $80.00 /hourBenefits:None" "Data Science, Analytics Intern","Los Angeles, CA",Tinder,"Tinder brings people together. With tens of millions of users and a presence in over 190+ countries, our reach is expansive—and rapidly growing. Your work here can change the world. We are looking for a quantitative social scientist with experience in applied research, experimentation, survey methodology, statistical inference, regression modeling, and exploratory data analysis. The perfect candidate will have a background in a social science, quantitative or technical field and experience working with large data sets and relational databases. You are focused on results, a self-starter, and have superior analytical, computational, and communication skills. This position is for a paid internship based in our West Hollywood, CA office. What you'll do:Inform, influence, support, and execute a research project used throughout Tinder to drive product and company decisions Apply your expertise in quantitative analysis and data visualization to see beyond the numbers and use those insights to optimize our product and better serve our users Provide general support to the Analytics team and broader organization around data, data visualization, research, and experimentation What we're looking for:Currently has, or is in the process of obtaining, a masters or PhD in statistics, political science, sociology, economics, demography, computational social sciences, public health, applied statistics, or related field Experience in applying at least one of the following in your research: quantitative research methods or statistical analysis, survey methodology (e.g., bias correction, sampling and design), regression modeling, causal inference with a survey outcome, behavioral data analysis Experience with data analysis using SQL and R and/or Python Experience initiating and driving research projects to completion with minimal guidance Experience communicating the results of analyses Bonus points if you have:Experience with large data sets Experience with survey design Experience with field experiments, experimental design, missing data, and/or survey sampling Experience with observational causal inference (e.g., regression adjustment, matching, propensity score stratification), or quasi-experimental methods (e.g., instrumental variables, regression discontinuity, interrupted time series) Experience with bandit optimization, adaptive experimentation, and/or Gaussian processes As part of our team, you'll enjoy:The hustle of a startup with the impact of a global business Tremendous opportunity to solve some of the industry's most exciting problems Fully customized computer equipment to fit your needs Working with an extraordinary team of smart, creative, fun and highly motivated people Daily catered lunches, endless supply of refreshments, basketball court, fitness classes and social events Modern, uplifting work environment in West Hollywood, CA" Data Scientist,"Carlsbad, CA 92009 (Bressi Ranch area)",ViaSat,"Bigger challenges. Bolder ideas. Global impact. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. We’re the company behind the world’s fastest satellite internet service, with technology that’s helping to bridge the digital divide and improve life for our customers around the globe. By providing powerful new ways for people to connect with one another, gain greater access to education, entertainment, medical research, commerce, and much more, our team is empowering millions of customers worldwide. We’re growing rapidly and looking for passionate, innovative professionals to join our team and connect the world to more. You’ll work in a collaborative and inclusive environment that values diverse perspectives and continuous learning, and provides industry-leading benefits with unmatched opportunities for career growth. Our team is fearless in pursuit of new ideas and uncompromising in our quest to become the world’s first truly global Internet Service Provider. Interested in joining our mission? Take a look at career opportunities at Viasat today. Job Responsibilities As a Data Scientist, you'll build a breadth of knowledge including distributed systems, predictive analytics, and machine learning. You will design, develop, and deploy analytic pipelines to answer questions across multiple business areas and disciplines for Viasat's broad but vertically integrated products. We encourage learning through immersion, collaboration and action. We value adaptability and curiosity. Our ideal candidate is someone focused on solving tough problems using data and loves doing so. In this role, you will contribute with: Analytics: Architect, design, and build data analysis pipelines working with large and complex data sets to monitor and analyze metrics Inference: Use statistical tools to design experiments and determine causality Algorithms: Design and create decision-making algorithms for various business needs Data engineering: Transforming and understanding data from many systems Requirements 3+ years of experience in a Data Scientist or a similar role Excellent understanding of several statistical and machine learning models Extensive experience with data analysis tools such as R, Python, Matlab Bachelors Degree in a data related field such as mathematics, computer science, physics or similar U.S. Citizenship or Permanent Resident required Travel up to 10% Preferences MS/PhD in a data related field such as mathematics, computer science, physics or similar Experience in a mid-large size high tech company preferred Experience working with data collected as part of experimental/theoretical sciences or testing Familiarity with Big Data technologies such as Spark, Impala, Hadoop Experience in Machine Learning or Data Science Additional requirements Minimum education: BA/BS or equivalent experience Years of experience: 3-5 years Travel: Up to 10% Citizenship: US Citizenship or Permanent Resident Status required Clearance: None Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic." Data Scientist,"New York, NY 10119 (Chelsea area)",Biz2Credit Inc,"Job Description About the Role: This is a rare opportunity to join a small but fast-growing team, where you will play a major role in shaping Biz2Credit?s future. We?re looking for an exceptional candidate that is excited about the opportunity to build a next-generation financial services business. We believe that there is a tremendous opportunity to leverage cutting-edge data science to inform smarter, faster decision making. As a Biz2Credit Data Scientist, you will shape the company?s data-centric culture, work closely with our engineering team to develop our analytics infrastructure, and collaborate closely with our Chief Data Officer on developing, validating, and automating our customer conversion and underwriting models. While a background in financial services is not required, you must be passionate about tackling complex data challenges for the benefit of small and medium businesses everywhere. YOU WILL: Drive the ongoing advancement and refinement of Biz2Credit?s credit decisioning & pricing model - optimizing risk and return while dramatically reducing decision cycle times. Continuously evaluate alternative data sources and structures to document and improve the efficacy of our customer conversion models and processes. Harness the power of Biz2Credit?s technology to proactively identify emerging risks as well as opportunities with our customers. Play a leadership role in the design and implementation of ongoing operational and risk reporting and analytics. Work on data projects and proposals involving Biz2Credit?s financial services partners worldwide (banks, non-banks, debt investors, equity investors and others) to analyze, classify and visualize credit-related data. WE'RE LOOKING FOR SOMEONE WITH:Degree in Statistics, Applied Mathematics, Engineering, Computer Science or other quantitative fields from leading university; Advanced degree preferred. 2- 4 years experience performing quantitative analysis within self-directed roles. Practical hands-on experience in the development and implementation of new predictive models and comfortable in learning new statistical tools and techniques. Ability to visualize and communicate sophisticated data and models to all audiences. Specific demonstrated experience, knowledge, accuracy and speed of execution in Powerpoint, Excel, Excel VBA and R (knowledge of other programming knowledge and/or Stata is a plus) Highly motivated, versatile, capable of working independently with demonstrated initiative." Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Scientist,"San Diego, CA 92127",HP,"Data Scientist As Data Scientist at HP Inc. in San Diego, you will join an industry-leading organization and work on developing frameworks for systematic data science modeling to identify optimal marketing, pricing and sales decisions for our Printing & PC business. Working within a dynamic, highly skilled and diverse Pricing Strategy and Analytics team (economists, engineers, scientists or even musicians ? majority of them with a PhD) you will build models and develop tools and analytical processes to develop pricing and marketing strategies for HP printers, cartridges and PCs around the world. Responsibilities: Develop and apply statistical methods to analyze the effect of pricing and sales decisions on business performance Develop and implement frameworks and processes for systematic and automated data analysis Develop tools to ingest, merge, and clean data sets Immerse yourself in very large data sets and complex problems Visualize and interpret the results of analyses, and create strategy recommendations Present the results and the corresponding recommendations to the relevant stakeholders, including senior leadership Qualifications: Interest in data science, pricing, economics, and/or consumer behavior Scientific thinking and ability to design and critically analyze quantitative research Ability to think creatively about research problems and invent original solutions to modeling challenges Ability to build and interpret complex linear regression models, with machine learning experience a plus Knowledge of and experience in deploying numerical optimization routines Proficiency with Python and R is required Strong analytical skills, with a high level of attention to detail Proficiency in Microsoft Excel and Microsoft PowerPoint Excellent written and verbal communication skills Nice-To-Haves: Knowledge of price optimization approaches, price discrimination models and a general knowledge of main concepts from the industrial organization literature Experience working with large data sets Experience in data engineering Exposure to digital marketing Experience working in or collaborating with industry Experience creating data visualizations Ability to build dashboards and other tools using front-end development skills Experience in software development Education & Experience Bachelor?s, Master's or PhD degree in Engineering, Computer Science, Economics, Quantitative Marketing, Mathematics, Physics or equivalent 1-3 years? experience including graduate or postgraduate research" "Intern, Data Science (Summer 2020)","Hollywood, CA 90028",Ticketmaster,"Job Summary: Who we are We’re fans who help fans everywhere get in to the live events they love. A proud division of Live Nation Entertainment, Ticketmaster has changed the way the world connects with their favorite artists, teams, and shows, and we continue to shape innovation every day. We’re not just selling tickets (though we do that better than anyone else), we’re enriching lives one amazing experience at a time. And we think that’s pretty amazing. If you’re passionate about the magic of live entertainment like we are, and you want to work at a company dedicated to helping millions of fans experience it, we want to hear from you. Why you should become an intern with us An internship at Ticketmaster is anything but ordinary. The pace is fast, the atmosphere is fun, and we’ll push and challenge you to learn and grow beyond anything you’d expect. It’s truly is a unique and rewarding environment. While intern projects vary, you’ll support work that’s meaningful and has real-world impact from day one for an industry leading brand with global recognition. Our summer internships are typically a 12-week experience focused on both functional and professional growth, including executive lead weekly learning sessions, individual peer mentoring, an exclusive industry summit, intern Hackathon, and more special events. Potential Data Science Internships Statistics Recommendations Data Analysis and Clustering What you need on your resume Must be enrolled in in a MA/MS program at an accredited college or university, with at least one semester left post internship Experience with one or more of the following: SQL, Kafka, Java, Python, Snowflake/Redshift Knowledge of modern data architecture, data warehousing and modeling, and analytical data platform technologies Previous internships, personal projects, work experience, and hackathons are a plus! Equal Employment Opportunity Ticketmaster strongly supports equal employment opportunity for all applicants regardless of age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation. We will consider qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Ordinance, for applicants in Los Angeles, California, and consistent with applicable laws in other areas. Hiring Practices The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Ticketmaster recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Ticketmaster may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms." Data Scientist,"Orlando, FL",NBCUniversal,"This Data Scientist position is part of the Decision Science team at Golf Channel/NBC Sports. The data scientist will be responsible of providing different arms of the business such as revenue, pricing and/or marketing with data driven insights using advanced statistical and modeling techniques. This is a unique opportunity where the data scientist will transform technical insights into actions that affect key aspects of the business. Job Duties Aggregate data from multiple tables and platforms and support the transformation of data from an unstructured to a structure format. Detect and resolve data anomaliesIdentify patterns among large data sets using supervised and unsupervised machine learning algorithms that are used in predictive and prescriptive analytics. Apply advanced statistical modeling and machine learning algorithms to solve complex problems and improve business strategy and decisions directly related to pricing and/or consumer behavior. Extract actionable insights using various econometric, financial and customer related factors and drive scenario planning and sensitivity analysis through market response modelingEstablish, monitor, communicate, and apply before and after analysis using business KPIs. Collaborate with Marketing, Pricing and Revenue teams to identify opportunities for best pricing and promotional offerings and communicate recommendations to senior managementQualifications/Requirements Basic Qualifications 3+ years of relevant work experience Strong critical thinking, problem solving skills and ability to work through complex problems Experience in writing and executing SQL queries. Experience with statistical and optimization modeling using Python or R Strong communications skills and ability to communicate technical content in an easy way to understand Team oriented and has a professional attitude Additional Job Requirements Interested candidate must submit a resume/CV through www.nbcunicareers.com to be considered Must be willing to work in Orlando, FL Desired Characteristics Desired Qualifications Master’s Degree in Industrial Engineering, Operations Research, Economics, Management Science, Mathematics, Statistics or equivalent is preferred PhD Degree in Industrial Engineering, Operations Research, Economics, Management Science, Mathematics, Statistics or equivalent is preferred Familiarity in revenue management, pricing or marketing analytics is a plus Sub-Business Golf Career Level Experienced City Orlando State/Province Florida Country United States About Us At NBCUniversal, we believe in the talent of our people. It’s our passion and commitment to excellence that drives NBCU’s vast portfolio of brands to succeed. From broadcast and cable networks, news and sports platforms, to film, world-renowned theme parks and a diverse suite of digital properties, we take pride in all that we do and all that we represent. It’s what makes us uniquely NBCU. Here you can create the extraordinary. Join us. GolfNow, a division of Golf Channel is the internet’s largest online tee time reservation service, trusted by more than 1.5 million golfers. Using leading-edge technology, GolfNow provides more ways for golfers to stay connected to their favorite golf courses and tee times through the web, e-mail and mobile applications. As a partner to golf courses, GolfNow provides turnkey solutions to their operations (www.golfnowsolutions.com) with the main areas of focus on:Online marketing and distribution of tee timesWeb hosting, development and customer management solutions Revenue optimization, database expansion and other course products Notices NBCUniversal’s policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable." Jr. Data Scientist,"Denver, CO",DarkOwl,"What does a Jr. Data Scientist do at DarkOwl? The world needs more DarkOwls and fewer bad guys. We are experiencing a time of great growth and are expanding our Research Development team to generate algorithms, analytic tools, and publications that provide unprecedented capability and insights for our analysts and clients. The right person has strong software development skills, is curious, and is pro-active: rolling up their sleeves, jumping in, and helping making sense of our data so we can stay on the leading edge of darknet analysis. This is a full-time position based in our downtown Denver office or remote for the right candidate. What a day in the life of a Jr. Data Scientist looks like: Work closely with our lead researchers to write, test, and develop analytical tools and solutions to help shape the future of our products. Build software prototypes to explore our data, refine algorithms, and test our hypotheses. Stay curious, working closely with our data, quickly learning new technologies, and contributing to research ideas and publications. Work cross-functionally across engineering and product teams to understand system requirements, define technical tasks, and execute the tasks. If you are a person who likes to work by yourself in a cubicle and not interact with other human beings then this job is not for you, sorry. Be Independent (don’t need too much hand holding), Quick learner (we really don’t have that much time to teach, and we aren’t a big company with a training department), Creative (we are trying to accomplish the impossible, so creativity is kind of a prerequisite), Flexible (you betcha. Priorities change, and we need to pivot on a dime) What you bring to the table: Strong software development skills. You can operate relatively independently, but also be a team player and understand how to work with remote co-workers. We strive to be a no-drama company. You have extensive understanding and experience in some of the following: Python, Java, or other high-level programming languages R, MATLAB, or other numerical analysis software Common developer tools (code repositories, build tools, etc.) You must have exposure to some of the following: Machine learning Darknets and related technology Map Reduce and other big-data processing tools Stream processing SQL and/or No SQL Databases Mathematical modeling DarkOwl does not discriminate in employment matters based on race, color, religion, gender, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class. We support and strive for workplace diversity." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Scientist / Machine Learning Engineer,"Philadelphia, PA",Excel Technologies Solutions,"Data Scientist / Machine Learning EngineerSeeking a Azure Big Data Machine Learning Engineer where you will help leverage data to make informed decisions. You will be knowledgeable of cloud based architectures and Azure technologies. You will be passionate about Machine Learning, Deep Learning, and be an expert with Azure ML with knowledge of AutoML, MLOps, and data science on ML platform.Well versed with Data Science, Machine learning and Deep Learning based solutions and frameworks. Apply technical knowledge to architect solutions that meet business and IT needs, create enterprise development roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies where appropriate (e.g. Azure Machine Learning, Machine Learning Server, BOT framework, Cognitive Services, Azure Databricks, etc.)Ability to Interpret the logical side of the data, demonstrate leadership in advanced Analytics, support leading project tasks, experience with ETL tools, Python coding required-At least 2 years preferred, Hands-on with Spark, SQL highly preferred.Job Type: ContractSalary: $60.00 to $80.00 /hourBenefits:None" Data Scientist,"New York, NY",Digitalogy,"What you will do Responsible for assisting with the development of our state-of-the-art, advanced analytical machine-learning-based software framework that can ingest, structure and model large amounts of data in different formats and from different sources. Capable of helping with the design of systems that can grow and maintain competitive advantage. Able to learn, assist and when needed take initiative on various modeling assignments. Qualifications: Experience with Python Knowledge of some of the following: numpy, scipy, pandas, scikit-learn Knowledge of basic statistics and data analysis Experience with open source software for data ingestion and data processing Ability to both follow and take lead, depending on the situation Academic or industry examples of machine learning models previously built Hands on work with unclean, semi-structured or unstructured data sets preferred Experience working in teams of analysts, data engineers, statisticians, and data scientists is highly preferred Experience in analytics (a.k.a. decision sciences) in the financial industry; in particular, for credit and marketing of unsecured lending products (development of credit risk models, valuation models, credit policy) preferred Superb analytical, math, coding, and data background Innovative mindset—thinks beyond the status quo Profiling, cross-platform adaptively, are preferred" Data Scientist,"Seattle, WA",Brightloom,"The Role: Brightloom is creating an entirely new category of software-as-a-service for consumer brands -- the Customer Growth Platform. This first-of-its-kind platform enables automated digital engagement and personalized loyalty programs to transform customer experiences while delivering predictable and repeatable lifetime value growth for brands. As a Data Scientist on our Customer Growth Platform, you'll develop predictive data products, such as product demand forecasts, customer lifetime valuation, personalized product recommendations, and more. Then you'll develop optimization algorithms based on these predictive data products, for brands to use in their marketing and offers so they can efficiently maximize growth. The experimentation solutions you develop should prove the value of our suggestions, as well as help train future predictive models about what products and offers will drive customer engagement. What You'll Do:Data platform design: work your way up the Data Science Hierarchy of Needs ( https://hackernoon.com/the-ai-hierarchy-of-needs-18f111fcc007 ). You'll partner with software engineering and product management counterparts to design our data and machine learning infrastructure, including collection, storage, processing, experiment design, modeling, and finally automated optimization. Data normalization and integrity: we'll be importing highly heterogeneous data from a variety of customers across thousands locations with millions of customers. This will require clever solutions to ensure the data they send us is readily available, easy to use and reliable. Predictive modeling and data products: you'll be the primary contributor on the models that power our forecasting and recommendations, which are at the core of this role and our Customer Growth Platform offering. Experimentation & impact analysis: outbound marketing automation, including paid media, product discounts and loyalty reward offers, often costs consumer brands real money. Through rigorous experiment design, including power analysis, and execution you will prove to our customers that our predictions are accurate and our optimizations deliver impact. When experimentation isn't an option, you'll develop causal inference models to measure impact. Data visualization & reporting: you'll partner with our product management team to define and build proof-of-concept dashboards, analysis and reporting for the data we receive from customers, the predictive data products we produce from it, and the automated optimization and experimentation we run based on those. About You:MS in a quantitative discipline such as Statistics, Mathematics, Data Science, Business Analytics, Economics, Finance, Engineering, or Computer Science 2+ years of demonstrated success using complex data analysis or machine learning model development to solve business needs Expertise in at least one statistical software package or language such as R, Stata, Matlab, or Python Expertise using big data infrastructure and tools, such as Spark, SageMaker, Athena, Redshift Bonus Points:PhD in a related quantitative discipline Experience with causal inference, applied time series modeling or machine learning forecasting applications Experience with iterative software development practices such as Agile Strong written and oral communication skills About Us: At Brightloom (formerly eatsa), we are working to revolutionize restaurants through innovative technology and design. We are disrupting an industry worth $900 billion globally with partnerships in North America, Asia, and soon other continents. Led by our CEO, industry veteran and former Starbucks and J.Crew executive Adam Brotman, our unique, world-class team combines software and hardware engineers, designers, and industry experts to push the boundaries on re-engineering every aspect of the restaurant experience. We believe any restaurant brand should be able to engage customers digitally using a seamless combination of mobile, omni-channel ordering and loyalty offerings. Up until now, only a select few brands could afford, or knew how to put together a top-notch digital engagement and ordering platform. With key Starbucks technology components integrated into our platform, Brightloom will now allow any restaurant brand to create their own version of a world-class digital flywheel ecosystem. Brightloom's configurable technology suite combines convenience (digital ordering channels), personal connection (personalized marketing) and engagement (loyalty) for restaurant brands in today's new digital era. What We Offer:Competitive Salary Equity/Stock Options Health, vision, dental insurance coverage 401(k) Life Insurance, Short-Term Disability, Long-Term Disability Pre-tax Commuter Benefits Flexible PTO + 10 Company Paid Holidays Pet Insurance ARC Fertility Program Regular company outings and events Brightloom is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, age, protected veterans status or any other characteristic protected by law. If your disability makes it difficult for you to use this site, please contact recruiting@brightloom.com." "Intern, Data Science (Summer 2020)","Hollywood, CA 90028",Ticketmaster,"Job Summary: Who we are We’re fans who help fans everywhere get in to the live events they love. A proud division of Live Nation Entertainment, Ticketmaster has changed the way the world connects with their favorite artists, teams, and shows, and we continue to shape innovation every day. We’re not just selling tickets (though we do that better than anyone else), we’re enriching lives one amazing experience at a time. And we think that’s pretty amazing. If you’re passionate about the magic of live entertainment like we are, and you want to work at a company dedicated to helping millions of fans experience it, we want to hear from you. Why you should become an intern with us An internship at Ticketmaster is anything but ordinary. The pace is fast, the atmosphere is fun, and we’ll push and challenge you to learn and grow beyond anything you’d expect. It’s truly is a unique and rewarding environment. While intern projects vary, you’ll support work that’s meaningful and has real-world impact from day one for an industry leading brand with global recognition. Our summer internships are typically a 12-week experience focused on both functional and professional growth, including executive lead weekly learning sessions, individual peer mentoring, an exclusive industry summit, intern Hackathon, and more special events. Potential Data Science Internships Statistics Recommendations Data Analysis and Clustering What you need on your resume Must be enrolled in in a MA/MS program at an accredited college or university, with at least one semester left post internship Experience with one or more of the following: SQL, Kafka, Java, Python, Snowflake/Redshift Knowledge of modern data architecture, data warehousing and modeling, and analytical data platform technologies Previous internships, personal projects, work experience, and hackathons are a plus! Equal Employment Opportunity Ticketmaster strongly supports equal employment opportunity for all applicants regardless of age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation. We will consider qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Ordinance, for applicants in Los Angeles, California, and consistent with applicable laws in other areas. Hiring Practices The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Ticketmaster recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Ticketmaster may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms." Data Scientist,"Los Angeles, CA",Takeda Pharmaceuticals,"Summary: Gathers and identifies local data science projects/initiatives/requests in collaboration with local/global MS teams, and other local functions. This position is part of the Digital and Data Sciences (DDS) team within the Manufacturing Sciences (MS) organization at the Los Angeles Facility. In addition to owning, and managing local MS data science initiatives, the other core responsibility of the DDS team is to ensure the manufacturing process for LA products and intermediates remains in a state of control. Statistical and analytical expertise is required for developing Continued Process Verification (CPV) plans and assisting in troubleshooting adverse process trends by proactive data analyses. He/She will work closely with the Subject Matter Experts and IT team to develop systems for the trending and analysis of process data. Essential Duties and Responsibilities: The individual in this position should expect significant day-to-day variability in tasks and challenges. Primary duties include but is not limited to the following: Drives the execution for local implementation of MS data science roadmap initiatives Owns, manages and drives local data science initiatives according to prioritization. Manages the respective functional and cross-functional interdependencies accordingly Manages and drives improvements on local process monitoring and process improvement Supports and participates in global/functional/local GMS data science community Drives necessary local trainings for knowledge transfer of big data analytics, coding/programming, etc. Assist in developing and maintaining CPV plans, including reports Perform data analyses using applicable analytical systems Assist in the investigation of adverse trends and implementing proactive measures to reduce manufacturing risks and variation Expected to learn manufacturing or relevant process knowledge required to execute data analytics projects and CPV Qualifications: Strong expertise and experience in Digital/Big Data Analytics/ Artificial Intelligence/Machine Learning algorithms, respective programming knowledge Respective programming knowledge in Python/R/C is required. Further programming experience is advantageous Proficiency in database languages (SQL), understanding of data models and databases Capabilities to translate business needs into data analytics concepts and vice versa Hands-on, able to implement and execute data science initiatives, analysis, machine learning High-level project management skills Compositional data analysis and analyzing time series data Distributed computing, stochastic modeling, sampling methods, and randomized algorithms Explainable Artificial Intelligence methods Experienced in using statistical process control, control chart and process capability techniques Strong ability to analyze and interpret scientific and statistical data Strong computer skills (MS Word, MS Excel, MS PowerPoint, SharePoint, Minitab, Discoverant, OSI Pi, SQL) Strong interpersonal, verbal and written communication skills. Strong presentation skills. Understand and articulate how own role ties within function or discipline High level of customer orientation and organizational skills Capable of analyzing and solving complex problems through innovative thought and experience, self-motivated and takes personal responsibility for getting the job done Able to work independently and within a team, and follow specific instructions to accomplish the tasks Experienced understanding of GxP and related regulations Understanding of biochemistry or protein separation, plasma protein knowledge preferred Education and/or experience: Bachelors' Degree in a highly quantitative field, e.g. in Engineering, Mathematics, IT, Economics or Physics with focus on either Control Theory/ Statistics/ Mechatronics, Information/ Operation, Management/ Strategy/ Economics, Technology, and Innovation Management 3+ years’ work experience in data analysis related position or equivalent academic experience/course record Hands-on experience in applying and executing Artificial Intelligence/Deep Learning, Machine Learning, Big Data and Digital with respective programming knowledge Contribution to github repositories and stack overflow and participation in competitions, e.g. on kaggle, data challenges, hackathons are advantageous Demonstrated contribution or interest to ethics of Artificial Intelligence Fluent in English Physical Demands: In general, the position requires mostly sedentary work and some walking around observing conditions in the facility Working Environment: Inside working conditions Must be able to work in controlled environments requiring special gowning. Will be required to follow gowning requirements and wear protective clothing over the head, face, hands, feet, and body No make-up, jewelry, contact lenses, nail polish or artificial fingernails may be worn in the manufacturing environment Some Clean Room and cool/hot storage conditions Notice to Employment / Recruitment Agents: Employment / Recruitment agents may only submit candidates for vacancies only if they have written authorization to do so from Shire, a wholly-owned subsidiary of Takeda’s Talent Acquisition department. Any agency candidate submission may only be submitted to positions opened to the agency through the specific Agency Portal. Shire, a wholly-owned subsidiary of Takeda will only pay a fee for candidates submitted or presented where there is a fully executed contract in place between the Employment / Recruitment agents and Shire, a wholly-owned subsidiary of Takeda and only if the candidate is submitted via the Agency Portal. Candidates submitted or presented by Employment / Recruitment Agents without a fully executed contract or submitted through this site shall not be deemed to form part of any Engagement for which the Agency may claim remuneration. Equal Employment Opportunity Shire, a wholly-owned subsidiary of Takeda, is an Equal Opportunity Employer committed to a diverse workforce. Shire, a wholly-owned subsidiary of Takeda, will not discriminate against any worker or job applicant on the basis of race, color, religion, gender, national origin, ancestry, age, sexual orientation, marital or civil partnership status, pregnancy, gender reassignment, non-job related mental or physical disability, genetic information, veteran status, military service, application for military service, or membership in any other category protected under law. EEO is the Law - https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf EEO is the Law – Supplement - https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf Pay Transparency Policy - https://www.dol.gov/ofccp/pdf/pay-transp_formattedESQA508c.pdf Reasonable Accommodations Shire, a wholly-owned subsidiary of Takeda, is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please call 484-595-8400 and let us know the nature of your request and your contact information. Job ID SR0046729" Data Scientist,"Orange, CA",Gustaine,"Role Summary / Purpose Highly motivated self-driven Engineer in statistics / predictive modeling / data quality to lead and guide multi-disciplinary project teams addressing key challenges for different businesses. Creation of intellectual property will be a key expectation in this role. Essential Responsibilities As a senior data scientist in the Modeling and Optimization, you will create and guide programs to invent and deliver predictive modeling and decision technologies for diverse businesses such as Finance, Aviation, Transportation, Oil and Gas and Healthcare. You will lead and drive programs in areas such as statistical algorithms for processing massive time series data, statistical risk modeling and development of novel algorithms for detecting and correcting anomalies in complex data. Typical applications include developing novel algorithms for early warning systems, building models for medical prognostics and systems for anomaly detection / correction in monitoring and diagnostics data. You will be working with some of the sharpest business minds across the globe on some of the most challenging business problems Qualifications / Requirements We are looking for accomplished Fresh Graduates / colleagues with 1-2 years of experience, track record of project management, and demonstrated ability to invent new approaches and/or apply recent methodological advances in data science to solve applied problems. Candidates should hold an MTech or MS in Industrial Engineering, Mathematics, Computer Engineering, Computer Sciences, Statistics with an excellent academic record and practical experience with recent advances in mathematical & computational sciences and statistical modeling. The candidate should have a demonstrated strong foundation in probability, statistical theory with a deep understanding of statistical estimation, hypothesis testing, linear and logistic regression. A solid grounding in applied statistics including expertise in at least one of the following is a must: Reliability models, Bayesian modeling, statistical classification, cluster analysis, time series analysis, forecasting and multivariate statistics. Possessing strong Implementation and Programming Skills in one or more of Java, Python, SAS, R, Python, Matlab is a must. Prior experience working with very large datasets using Big Data tools and platforms (Hadoop, PIG / HIVE / Mahout) is highly desirable. Proven ability to lead complex projects with multi-disciplinary teams and ability to work with global businesses to create new programs is a must. Expertise in modelling the behavior of a complex real time dynamic system. Desired Characteristics PhD in Industrial Engineering, computer science, Comp Engg, Statistics, Mathematics, Statistics or related field Strong interpersonal skills Excellent written and verbal communication skills Experience working with Financial engineering data – aviation, healthcare, transportation, energy, oil & gas, etc Send in your resume: guptaneel@gustaine.com" Data Scientist,"Washington, DC 20001 (Chinatown area)",Monumental Sports & Entertainment,"Monumental Sports & Entertainment (MSE), located in Washington, D.C., is one of the largest integrated sports and entertainment companies in the country with one of the most diverse partnership groups in all of sports. MSE owns and operates five professional sports teams: the 2019 WNBA Champion Washington Mystics, the 2018 NHL Stanley Cup Champion Washington Capitals, NBA's Washington Wizards, NBA G League’s Capital City Go-Go, and NBA 2K League’s Wizards District Gaming. The company is also co-owner of aXiomatic, which has controlling interest in global esports franchise Team Liquid, and owns and operates Capital One Arena in Washington, D.C. Monumental Sports & Entertainment also manages MedStar Capitals Iceplex, the state-of-the-art training facility for the Capitals and EagleBank Arena on George Mason University's campus. In conjunction with the District of Columbia and Events DC, MSE is a partner in a new sports and entertainment facility in Southeast DC on the St. Elizabeth’s East campus that opened in September 2018. Facility highlights include MedStar Wizards Performance Center, the brand-new training facility for the Wizards, Go-Go and Mystics, and a 4,200-seat arena which serves as the new home of the Mystics and Go-Go. Monumental Sports & Entertainment also co-owns and operates Monumental Sports Network (MSN) with the NBC Sports Group. MSN is the mid-Atlantic region’s top destination for exclusive fan experiences and original sports content across desktop, tablet, mobile and OTT streaming devices. Visit www.monumentalsports.com.MSE proudly promotes its core values for all those that interact with the company. As a member of our team:You will provide first-class customer service and value for our fans. You will champion a double-bottom line that engages, unifies and gives back to the community we serve. You will work tirelessly to build generationally exceptional teams that compete for championships year after year and create lifelong memories for our fans. You will measure performance with specific objectives and metrics and our analysis and decisions are compelled by data. You will prize leadership, but you should value teamwork and collaboration and transparency even more. We treat each other with respect. We act with honesty and integrity. We remain humble. You will innovate. We are nimble and first to market. We are not averse to risk. You will have fun. We are in the business of happiness. Position Overview: The Data Scientist position is responsible for designing, testing and building statistical models to support the research team. This position will lead an integral component of research efforts and be a member of a dynamic team consisting of programmers and data visualization specialists. This person must be a creative problem solver with a broad statistical tool set who is adept at finding innovative solutions to unique challenges. This position will report to the Vice President of Research and will work closely with the Senior Data Consultant and Data Programmer/Analyst on projects impacting the decision-making process for Monumental Basketball. Responsibilities:Build and develop systems, analytical models, and foundational structures to support decision-making processes across Monumental Basketball. Utilize data to identify possible solutions to strategic questions, including areas of player evaluation, game management, in-game tactics, roster building, salary cap strategy, and broader league trends. Provide the basketball operations departments with the best empirical data and data analysis available, ensuring objectivity and integrity of information through rigorous analytical models. Maintain a multifaceted and secure information system that anticipates the needs of Monumental Basketball Operations staff. Lead and support at least one other member of the research team. Other duties as assigned. Minimum Qualifications:Bachelor’s degree in Computer Science, Statistics or STEM related field. 5+ years’ experience with advanced statistical modeling. Expertise utilizing Python, R, SAS, SPSS or other statistical programming languages. Expertise with standard SQL and other database management tools. Excellent analytical skills with experience researching and analyzing data. Excellent verbal and written communications skills. High integrity, dependable, and comfortable handling confidential information. Strong work ethic and creative problem-solving capabilities. Positive attitude and enjoys collaborating with a team as part of something bigger than yourself. Flexibility to work evenings, weekends, and holidays as needed. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law." RET Design Engineer / Data Scientist,"Hillsboro, OR 97124",Intel,"Job Description Intel invites you to join the team that develops and implements Resolution Enhancement Techniques that assist the successful pattern transfer from mask to wafer in a sub-wavelength imaging regime and enable the manufacture of every Intel silicon product. This team resides at the critical interface between Design and Manufacturing at Intel and enables the first step in silicon manufacturing. o The performance numerical modeling, computational simulation, layout manipulation, correction algorithm development using scientific software tools written specifically for these purposes. o You will utilize knowledge of state-of-the-art principles and theories in photolithography, optics, modeling, and software engineering to investigate potential new technologies. o This highly specialized and complex work requires the acquisition, handling, vetting and analysis of very large datasets; involves all aspects of process flow and methodology development including: requirements gathering, functional specification, scientific programming, quality assurance, technical approval, and coordination of massive distributed data processing operations. o You will deliver test masks, test patterns, sampling strategies, process models, defect detection strategies, and software algorithms to perform VLSI layout manipulation, correction, and detection of patterning liabilities for one or more photomasks. The candidate should possess the below behavioral traits: o Ability to be self-directing and show initiative o Good communication skills and demonstrated ability to summarize complex data sets for technical and nontechnical audiences The successful candidate is both detail and results oriented, relies on sound engineering judgment, and has solid data analysis, critical thinking, and presentation skills to arrive at timely solutions for complex and highly constrained problems. This opportunity is intensely collaborative & requires the continuous interaction with fellow group members and adjacent engineering teams, to absorb an in depth understanding of technology design rules, discover integrated requirements, and negotiate with internal customers to identify optimal solutions in a dynamic environment. The successful candidate will need to continue their education in this fascinating and multi-disciplinary field and expects to continuously encounter and overcome problems with root cause solutions. Qualifications Successful candidates must possess a BS or Master's in Electrical, Chemical, or Mechanical Engineering; Mathematics, Optics, Nano-Engineering, Materials Science, Physics, or Related Scientific Discipline. Strong preference for those candidates with professional education experience in designing, creating, and implementing tech-integrated curriculum in mathematics and science. AND at least one of the following qualifications are needed (having more than one will be preferred):1+year experience in mathematics, including algebra, linear algebra, calculus, statistics and familiarity with DOE Techniques;1+ years' experience in programming languages such as Fortran, C++; Scripting with Python or Java, Statistics packages such as JMP, General scientific applications such as MatLab or Mathematica;6+ months experience and comfort in Linux/Unix environments6+ months of experience in Computational simulation6+ months of experience in Semiconductor fabrication, Nano-Lithography6+ months of experience in algorithm development6+ months experience in Nanometrology (e.g. Scanning Electron Microscopy, Atomic Force Microscopy, etc.)6+ months experience in Image Processing, Geometric and Fourier optics Inside this Business Group As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art - from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance...." Data Scientist,"Santa Fe Springs, CA 90670",Accuride International,"For more than 50 years, Accuride International Inc. has been a pioneering world leader in the invention, design, and manufacture of innovative movement solutions. The company is headquartered in Santa Fe Springs, California and has an impressive global footprint, with offices in China, Germany, Japan, Mexico, and the UK, and more than 2,000 employees worldwide. The company has also expanded into cabinet-level RFID electronic access control (EAC) under Senseon Secure Access.Why us? Accuride is all about teamwork, mutual respect, and diversity. Our team members work together to support our market-leading products that are used by millions. You’ll be part of a team that genuinely cares about helping you succeed. And, as a global and growing business, we can truly offer a world of opportunities to expand your skills and develop your career. In return for your contributions, you’ll receive premier compensation, participation in Accuride’s bonus program, two weeks of paid vacation in your first year, medical, vision, and dental, AD&D insurance, 401(k) plan, and company-sponsored events.The Role We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Responsibilities Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Develop company A/B testing framework and test model quality. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Qualifications Strong problem-solving skills with an emphasis on product development. Experience using statistical computer languages to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field. Experience with:Google Analytics Search Console Zendesk Chat and Support Magento Sugar CRM Google Advertising and Bing Ads Data warehouse connectors: Redshift & Google BigQuery BI connection to Tableau RDBMS connectors" Senior Biotech Laboratory Technician/Data Analyst Updated 2/28/2020,"Los Angeles, CA 90034 (Palms area)","Laragen, Inc","Laragen, Inc is a biotech company specializing in genomics services. For more than 20 years, we have served academic institutions and private industrial sectors worldwide.We are currently looking for a senior laboratory technician/data analyst. Main job responsibility is genotyping data analysis, reporting results to clients, customer services, receiving samples, setting up PCR reactions, DNA extraction, troubleshooting, lab maintenance, developing SOPs and other lab documents.Required/Preferred skills: - A BA degree or higher in biology with 5+ years related experience in biotechnology- Able to multi-task and able to prioritize responsibilities- Must pay attention to detail.- Extensive computer and MS Excel experience- Extensive experience on real time PCR(qPCR) and genotyping- Strong pipetting skill and molecular biology techniques.- Able to recognize trends and able to be focused and observant- Able to work under pressure and keep up with a fast-paced environment- Can handle a high volume of sample processing. Industry experience preferred- Must be a team player. Good interpersonal skills- Good communication and customer service skills- Knowledgeable with Python is a plus.- Experience with fragment analysis software such as GeneMapper is a plusBenefits: - Medical, Dental, Vision, Life Insurances- 401K, Profit Sharing, Defined Cash Balanced Plan- Paid Time Off, Sick Leave- Bonuses- Flexible hoursJob Type: Full-timeSalary: $18.00 to $26.00 /hourExperience:Industrial Biotech Laboratory: 2 years (Required)PCR: 5 years (Preferred)Education:Bachelor's (Required)Location:Los Angeles, CA (Required)Work authorization:United States (Required)Additional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offOtherThis Job Is Ideal for Someone Who Is:Dependable -- more reliable than spontaneousDetail-oriented -- would rather focus on the details of work than the bigger pictureHigh stress tolerance -- thrives in a high-pressure environmentThis Company Describes Its Culture as:Detail-oriented -- quality and precision-focusedOutcome-oriented -- results-focused with strong performance cultureTeam-oriented -- cooperative and collaborativeSchedule:Monday to FridayOvertime" Clinical Data Scientist (Life Sciences),"Boston, MA",Harbor Clinical,"Established to be your integrated Quality Assurance and Regulatory Compliance partner, with a laser focus on facilitating your clinical trial execution. Developing and supporting your quality initiatives from Day 1, the Harbor team is committed to quality through each functional service we provide.We provide a hybrid of services which ensure all aspects of clinical trials meet quality assurance and regulatory standards – from study documentation, vendor oversight, and flexible resourcing throughout operations.The Data Scientist will be a part of the Global team driving Analytics for Personalized Marketing and will partner closely with NA and UK teams. This is a hands-on role responsible for building and adapting transformational algorithms and data mining strategies to enable best in class personalized marketing. You will have a direct impact on media ROI Globally, by enabling more robust data-driven media targeting and more relevant communications. You will shape and deliver best in class data audience segmentation, insights and consumer centricity.You will have strong collaborative partnerships with multiple other functions, such as Technology, Consumer & Business Insights, Brand Mangers, and various suppliers.Responsibilities: Play a leading role in developing sophisticated algorithms and data mining strategies to leverage data for generating insights about consumersDevelop consumer segmentation approaches and create targeted consumer audiencesWork with data engineers and visualization experts on optimizing quality and performance of the consumer level data assetsTranslate data and model results into tactical and strategic insights that are accurate, relevant, understandable and lead to making better decisionsSupport the business teams to solve complex analytical challengesDevelop and maintain ongoing data exploratory analyses and quality checksManage, guide and review modeling efforts by the analytics suppliersQualificationsKnowledge and Competency Requirements: A bachelor's degree in Computer Science or related technical/scientific degree is required; a advanced degree in statistics, mathematics, economics, or computer science is preferredMinimum of 3 years of relevant analytics and data mining and modeling experience is requiredWorking experience with relational data base management system and strong knowledge of SQL is requiredAdvance to Expert Level knowledge of Python and/or R is requiredExperience with mining and modeling large data sets and applying advanced analytics methods for consumer clustering and segmentation, developing and leveraging consumer insights: path to purchase, CLTV models etc is required.Excellent communication skills; experience collaborating with and presenting to internal and external stakeholders is requiredBusiness acumen, good work ethic, passion for keeping up with analytics and technology trends is required.Knowledge of the advanced techniques and tools common to the data science world such as Apache Spark, sparkML, scikit-learn, TensorFlow, Keras, XGBoost, Tidyverse, AWS, and Google Cloud Platform is required.Experience in marketing analytics, including marketing response modeling and customer segmentation, and experience in online media and the adtech ecosystem is preferredJob Type: Full-time" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Data Scientist, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of environments (including various databases, Linux servers, and Hadoop). You’ll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment.Expected Qualifications: Bachelor’s degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree strongly preferred 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analytics Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc. Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc. Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) Excellent communication skills Passion for extracting hidden insights and building machine learning systems that enhance business outcomes About GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Data Scientist,"Santa Fe Springs, CA 90670",Accuride International,"For more than 50 years, Accuride International Inc. has been a pioneering world leader in the invention, design, and manufacture of innovative movement solutions. The company is headquartered in Santa Fe Springs, California and has an impressive global footprint, with offices in China, Germany, Japan, Mexico, and the UK, and more than 2,000 employees worldwide. The company has also expanded into cabinet-level RFID electronic access control (EAC) under Senseon Secure Access.Why us? Accuride is all about teamwork, mutual respect, and diversity. Our team members work together to support our market-leading products that are used by millions. You’ll be part of a team that genuinely cares about helping you succeed. And, as a global and growing business, we can truly offer a world of opportunities to expand your skills and develop your career. In return for your contributions, you’ll receive premier compensation, participation in Accuride’s bonus program, two weeks of paid vacation in your first year, medical, vision, and dental, AD&D insurance, 401(k) plan, and company-sponsored events.The Role We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Responsibilities Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Develop company A/B testing framework and test model quality. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Qualifications Strong problem-solving skills with an emphasis on product development. Experience using statistical computer languages to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field. Experience with:Google Analytics Search Console Zendesk Chat and Support Magento Sugar CRM Google Advertising and Bing Ads Data warehouse connectors: Redshift & Google BigQuery BI connection to Tableau RDBMS connectors" Data Scientist,"Los Angeles, CA",Quibi - Los Angeles,"Quibi is seeking data scientists to build cutting-edge machine learning models, analytical products and testing frameworks. Our centralized data science team will help the organization to understand and predict subscriber behaviors, inform product & content strategy, and consistently apply a rigorous data-analytical lens to all aspects of Quibi’s business. Our team’s success comes from our ability to collaborate successfully with our internal partners to make data science and advanced analytics part of the DNA of the organization. What You'll Do: Build advanced machine learning models implementing end-to-end algorithmic solutions Design and conduct complex analyses and experiments Identify user engagement patterns through data mining Build out our customer intelligence layer to drive personalization through recommendation algorithms and dynamic customer segmentations Collaborate closely with engineering, business, and analytics partners What You'll Need: 5+ years experience in data science and machine learning Degree in Computer Science, Statistics, Data Science, Business or other quantitative field. Expert Python, Spark and SQL programming skills and experience writing code in a collaborative environment Proven track record building end-to-end data science products Experience applying supervised and unsupervised algorithms to large-scale data Strong knowledge of statistics and experimental design An interest in staying up-to-date with recent advances in machine learning Ability to clearly communicate complex results and methods to business audiences Quibi provides reasonable accommodations to assist with the application process, and, if hired, to perform the essential functions of the job. Examples of reasonable accommodations include making a change to the application process, providing documents in alternate format, or using specialized equipment. Please contact Quibi if you require a reasonable accommodation to apply for a job with us. Quibi is an equal employment opportunity employer. Quibi does not discriminate against any applicant or employee based on race, color, religion, national origin, gender, age, sexual orientation, gender identity or expression, marital status, mental or physical disability, and genetic information, or any other basis protected by applicable law. Quibi also prohibits harassment of applicants or employees based on any of these protected categories." "Data Scientist, Analytics (University Grad)","Menlo Park, CA",Facebook,"Are you passionate about Facebook’s product, analytics and technology? The Analytics team is looking for fast-moving analytics candidates and data junkies who want to make an impact. Candidates will help own analytics for a particular product or business at Facebook and work with product managers and engineers to translate the analysis into meaningful impact to the business. Please note that candidates will have a general interview and then we will make a determination of actual team assignments. DATA SCIENTIST, ANALYTICS (UNIVERSITY GRAD) RESPONSIBILITIES Perform large-scale data analysis and develop effective statistical models for segmentation, classification, optimization, time series, etc. Design and implement reporting dashboards that track key business metrics and provide actionable insights Identify actionable insights, suggest recommendations and influence the direction of the business by effectively communicating results to cross-functional groups Work closely with Product or Engineering & Operations teams to proactively create rule and manage decisions Prioritize leads so that the teams work on the most valuable cases Suggest improvements in the tools and techniques to help scale the team MINIMUM QUALIFICATIONS Currently has, or is in the process of obtaining, a Bachelors, Masters or PhD degree in Computer Science, Mathematics, Economics, Statistics or related technical field Experience utilizing both qualitative analysis (e.g., content analysis, phenomenology, hypothesis testing) and quantitative analysis techniques (e.g., clustering, regression, pattern recognition, descriptive and inferential statistics) Experience in presenting qualitative and quantitative data Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment PREFERRED QUALIFICATIONS Experience as a Programmer - Python, Perl, Java, and/or C++ Experience in collaborating with individuals and organizations Internship experience in solving analytical problems using quantitative approaches Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com." Data Scientist Internship,"Sunnyvale, CA",Acubed,"ADAM The Advanced Digital Design and Manufacturing (ADAM) project seeks to accelerate the Airbus transition towards a future of digital design and manufacturing. The team is uniquely positioned to identify and innovate on emerging technologies with collaborators in Silicon Valley and across the globe. ADAM provides a platform to drastically reduce Aerospace product lead-times and production costs. Through our tool-agnostic framework, we integrate existing and newly developed software solutions. We provide easy-to-use tools to design and automate processes in aerospace manufacturing. The Opportunity This is an internship opportunity to join ADAM's team where you will learn to develop methods and build tools addressing current challenges across a broad set of aerospace domains. You will be: Prototyping of data analytics softwares using surrogate design and manufacturing data Conducting predictive analytics studies to identify areas of opportunity to increase cycle efficiency for design and manufacturing Building key performance metrics to assess the design and process variability as well as to predict cost and lead time for new Heads of Version. Working on potential development of machine learning algorithms with time series and dynamic analysis to improve demand forecast and optimize localization and shipment of A/C parts. Participating in code and architecture reviews as required Developing of documentation for the methods and tools developed. Qualifications Be in your last year of pursuing a Bachelors or a Masters Degree in Computer Science, Aerospace or a related field Have a proven track record of Academic Excellence; Posse a proactive mindset towards problem solving; Have passion for developing algorithms and coding solutions to complex aerospace problems; Be self-driven and have the curiosity to formulate problem statement and research new solutions" Product Data Scientist,"Los Angeles, CA",Snapchat,"Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together. We’re looking for a Data Scientist to join Team Snapchat! Working closely alongside engineering, product design, product management and growth team, you will enjoy creating inventive, data-based approaches to solving difficult business and product problems. Working from our Los Angeles headquarters, you’ll work to generate business and product insights and help Snap to ship the best product in the world. What you’ll do: Partner with Product Management, Growth Program, Product Design and Product Engineering and apply your expertise in quantitative analysis, data mining, and statistical modeling to see beyond the numbers and understand how our users interact with our consumer products to help drive product and business decisions. Creating hypotheses, designing and evaluating experiments Monitoring and investigating key metric changes Designing and building data pipelines and key data sets to empower dashboards as well as explorative analyses Modeling and understanding user behaviors and ecosystems Identifying new opportunities and new product levers to help user growth and user engagements. Presenting and communicating product insights and experiment results to product teams and help driving data-informed decisions Building best data analytics practices to drive and influence company’s data culture. Minimum qualifications: Bachelor’s degree in math, statistics, computer science, operations research, econometrics other quantitative field 2+ years of experience in quantitative analysis or a related field Fluency in SQL or other big data querying language Experience presenting and communicating quantitative analysis results Experience with a programming language, such as Python Basic knowledge of statistics such as probability and regression Preferred qualifications: Master or Ph.D degree in math, statistics, computer science, operations research, econometrics or other quantitative field Strong statistical knowledge Experience in a product-focused role at a social media and/or mobile technology company A team player who can collaborate with engineers, product managers, and other cross-functional teams An understanding of Snapchat with great product sense and product understanding Strong experience with causal inference techniques, experimental design and/or A/B testing Experience with analytical packages such as SciPy or R Excellent interpersonal skills, including verbal and written communication High attention to detail Ability to initiate and drive projects to completion with minimal guidance Ability to communicate the results of analyses in a clear and effective manner to a senior audience" Data Scientist,"Raleigh, NC 27605 (Hillsborough area)",TRANZACT,"We’re looking for a data scientist to drive our data science and analytics group forward! You’ll be joining a group of curious, smart, technically minded yet business savvy data scientists and analysts looking to make a difference to the company by designing and building out our data decisioning capabilities from the ground up! As a data scientist, you’ll work collaboratively with our business, operations, analytics, and IT teams. You’ll be responsible for analyzing our data and executing projects that will inform our business strategy and embed into our data products. Our ideal candidate is excited to join our fast-paced culture and is excited to contribute to our growing data science practice! What you’ll do: Dig into our data to find leverage in our business. This includes data wrangling, data cleaning, and exploratory analysis Execute new projects and develop predictive models that inform our data products and / or business strategy. Work cross functionally with different stakeholders across the business and join meetings to learn about other parts of the company Act as a subject matter expert with all things dataWhat we do: We achieve competitive advantage through data-driven marketing and full management of the customer experience. We’re constantly refining our technology and our strategies, that’s why we’re the industry leader in delivering the best results to the top insurance brands in America. That’s not just lip service either, we’re consistently awarded partner of the year from brands like AFLAC, Humana, and more. Our work has also been featured on The Dr. Oz Show, Forbes, and Vox - to name a few. We want people who fit within our Be Real culture. We want a diversity of programmers and writers and designers and data scientists and strategists and more. We’re made up of introverts and extroverts, suits and rebels, corporate types and anti-corporate types. We’re an environment where every person feels their full potential is only limited by their ability to conceive of it and make it happen. Our company grew from entrepreneurial roots but has big company resources to get amazing things done. What we’re looking for: 2+ years of experience in a data science role, building predictive algorithms and data products ideally related to marketing, business operations, or customer retention Excellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc. Ability to communicate findings clearly and deep understanding of your current business Excellent technical ability, including proficiency with Python, SQL, Excel, and data visualization tools (Tableau, Power BI, etc.) Experience with big data platform (i.e. Hadoop) Intensely curious – always asking questions and not being OK with the status quo. Obsessed with making things better and more efficient. A lifelong learner that is excited to learn new data science technologies and apply those to technologies to our business Ability to be objective and follow the facts, cut through noise and create a story with data. Strong organizational skills including time management Thrives in a fast-paced environment that is constantly changing BS/MS in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)What’s in it for you: Medical, dental, vision, paid time off/holidays, 401(k), and bonus opportunity Frequent office events and outings Employee development programs, conference and training reimbursement Work remote flexibility Joining a growing and exciting team making a big impact on the business!TRANZACT, a Willis Towers Watson Company, is an Equal Opportunity/Affirmative Action employer and voluntarily complies with the laws and regulations related to employment without regard to race, color, religion, sex, national origin, marital status, sexual orientation, age, status as a protected veteran or individual with a disability, ancestry, gender, gender identity or expression, or any other protected group status or non-job related characteristic protected by applicable human rights or equal opportunity legislation. We are a company that values diversity. As required by law, we must record certain information to be used as part of our Affirmative Action Program. In extending this invitation you are advised that (a) response data is used for periodic government reporting and will remain confidential within Human Resources department; (b) responses are used solely to help us comply with government record keeping, reporting and other legal requirements." Fandango- Data Scientist,"Beverly Hills, CA",NBCUniversal,"Responsibilities:Work with business owners and data architects to formulate hypothesis and discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products and customer experience.Apply data mining and/or machine learning techniques, doing statistical analysis, and build high quality robust forecasting, prediction and recommendation systems integrated with our products.Gather data insights related to user behavior, product usage, audience segmentation, social media, marketing response, quality of services, and media consumption to drive business decisions.Select features, build and optimize classifiers, recommendation systems, predictive scoring models and forecasting systems using machine learning techniques, data mining using state-of-the-art methods,Extend/augment company’s data with third party public/proprietary data sources of information when neededEnhance data collection procedures to include information that is relevant for building analytic systems.Process, cleanse, and verify the integrity of data used for analysis. Create automated anomaly detection systems and constant tracking of its performancePerform ad-hoc analysis and presenting results and make recommendations in a clear manner to technical and nontechnical audienceWork with product management and internal stakeholders to help dictate the requirements and technical design of Fandango data services and related intelligence toolsOther duties as assigned Qualifications/Requirements Qualifications/Requirements:Master’s Degree in a quantitative field (Computer Science, Engineering, Economics, Business Analytics, Statistics, Operations Research) and minimum 3 years of hands on experience in the data science, machine learning, predictive modeling, data mining or PhD (with no additional exp required)Excellent understanding of machine learning techniques and algorithms (at least 4 of the following): k-NN, Naive Bayes, SVM, Clustering, Regression (OLS, Logistic, MNL), Decision Forests, Linear and Nonlinear OptimizationData oriented personality, good applied statistics skills, such as distributions, statistical testing, probability theory, etc.Familiarity with at least one development language (Python, Scala, Java, C#).Experience with BI reporting tools (Tableau, Microstrategy, SSRS, etc.).Experience with distributed data architectures and their eco-systems (Hadoop/EMR, Hive, Pig, Spark, etc.).Deep expertise in SQL and some experience with NoSQL databases, such as Cassandra, MongoDB, HBaseProven track record working on distributed, scalable, service-oriented platforms. Good scripting and programming skills, proven ability to deliver high quality, production ready code.Expert understanding of the agile software development life cycle.Knowledge of Amazon Web Services (AWS) and Redshift in an enterprise environment.Strong customer service and communication skills (verbal and written) to effectively interact with a diverse team of people across business and engineering.Must maintain regular and acceptable attendance at such level as is determined at the company’s sole discretion.Must be available and willing to work extended hours (during crunch times!) per day including occasional weekends and holidays. Eligibility RequirementsInterested candidate must submit a resume/CV through https://www.fandango.com/careers to be consideredMust be willing to work in Los Angeles, CAMust have unrestricted work authorization to work in the United StatesMust be 18 years or olderIt is the policy of NBCUniversal and NBCUniversal’s affiliated businesses to consider all qualified applicants for employment without regard to race, color, religion, national origin, sex (including pregnancy) sexual orientation, age, disability, veteran status or other characteristics protected by law. Desired Characteristics Willingness to dig into technical concepts/details related to the data platform.Proactive to improving reporting, analysis, and BI development processes.AWS certificationsNaturally inquisitive and self-learnerA team playerStay on top of the latest innovations in data and BI technologiesSub-Business Fandango Career Level Experienced City Beverly Hills State/Province California Country United States About Us At Fandango, we love movies. From showtimes and ticketing, to engaging content and innovations in movie going- we strive to deliver the perfect movie going experience—anytime, anywhere. And to be the go-to destination for moviegoers, we think it’s all about collaboration. Anyone can build a website or app, but it takes a special group across many disciplines to create an experience that can live across multiple platforms and connected devices. Thanks to an exceptional team, we’re working hard to make Fandango a little bit better every day. Our 30 million (and growing!) online and mobile monthly visitors can now buy movie tickets at over 25,000 screens nationwide and stay for exclusive trailers, our award-winning original video series, movie reviews, celebrity interviews and more. So, if you’re looking to inspire, be inspired and work at the intersection of entertainment and technology look no further than Fandango. Visit Fandango.com/careers for a behind-the-scenes look at Fandango and follow us on LinkedIn for the latest news and updates. Fandango is an NBCUniversal Company. We are looking for a seasoned Data Scientist to join our team. If you love movies and data, this might just be your dream job! Notices NBCUniversal’s policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable." Data Scientist,"Alpharetta, GA",RELX Group,"Develops, analyzes and models operational, economic, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies. Analyzes organizational data to recommend solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets; models and evaluates the potential impact of changes. Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources. General Profile: Experienced practitioner Works independently Requires in-depth knowledge and experience Solves complex problems Contributes to process improvements Uses best practices and knowledge of internal or external business issues to improve products or services Acts as a resource for colleagues with less experience Recommended Skills: Functional Knowledge: Requires conceptual and practical expertise in own area Business Expertise : Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate the company in the market Leadership : Occasionally leads the work of small project teams; provides informal guidance to junior staff Problem Solving : Typically resolves problems using existing solutions Impact: Works with minimal guidance Interpersonal Skills: Explains difficult or sensitive information Requirements: R and Python, R Shiny Usage, excellent presentation skills We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact 1.877.734.1938 or accommodations@relx.com. Risk & Business Analytics (RBA) provides customers with innovative solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk while enhancing operational efficiency through eight unique brands. RBA is a market segment of RELX and has more than 8,500 employees serving customers in over 180 countries. RBA’s eight brands include: LexisNexis Risk Solutions, Accuity, Proagrica, ICIS, Cirium, XpertHR, Nextens, and EG." 2020 Citizen Data Scientist Internship,"Detroit, MI 48226 (Downtown area)",FCA,"FCA US LLC College Intern Program offers a unique opportunity for highly motivated, innovative, and inspired individuals to work on a challenging assignment where contribution, teamwork, and communication are vital to the success of the organization. As a leading-edge company, we can provide real world challenges and rewarding intern experiences to candidates from a variety of colleges and universities while providing a competitive salary. Interns are assigned to an organization department based on the candidate's background, skill set and interests. The assignments are project-oriented, meaningful to the department and allow the intern to take responsibility for a major task. Interns experience sense of personal accomplishment and contribution, and experience the corporate business culture through work assignments and structured activities. They gain the communication and etiquette skills required in business while sharing knowledge gained from recent courses. They also enhance their computer skills and learn new systems and software. Each 2020 Intern assignment consists of challenging projects with specific goals, providing opportunities for personal growth and development. Interns that demonstrate outstanding qualities may be invited back the following year for a second internship or to interview for full-time positions in various new hire programs. Summer internships are primarily located at the FCA US Headquarters and Technology Center in Auburn Hills, Michigan, other facilities in the Detroit metropolitan area, and business centers located throughout the country. Interns may qualify for a housing allowance and/or travel assistance. During the internship, Interns will have the opportunity to participate in many activities designed specifically to enhance their knowledge of FCA and our products. The student selected for the Citizen Data Scientist Internship will gain experience in requirement gathering, planning, execution, and delivery of data science and machine learning-based projects. This delivery may include creating data visualizations. The bulk of the work will be in areas of data exploration and preparation, data collection and integration. The Citizen Data Scientist will get to gain experience with machine learning (ML) and statistical modeling and data pipe-lining and deployment. The Citizen Data Scientist will assist in cataloging the FCA enterprise wide data catalog, focusing on technical and business documentation. Example projects could include creating a predictive model of when to place an incentive on a model and/or understanding current market conditions related to inventory. Job responsibilities include but not limited to: Collaborates with business analysts and product owners to ensure understanding of business requirements Data Exploration and Preparation: Apply statistical analysis and visualization techniques to various data Generate and test hypotheses about the underlying mechanics of the business process Data Collection and Integration: Understand new data sources and process pipelines Catalog and document their use in solving business problems Data Cataloging: Assisting in the creation of a data catalog that will understand all the relevant data and metadata in the FCA environment, this will include gathering business process and technical information Machine Learning and Statistical Modelling: Apply various ML and advanced analytics techniques to perform classification or prediction tasks Testing of ML models, such as cross-validation, A/B testing, bias and fairness Basic Qualifications: Currently pursuing a Bachelor's degree or higher degree in Data Science or Business Analytics Completion of junior year of college at an accredited university by summer of 2020 Experience in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field or equivalent work experience Coding knowledge and experience in several languages: for example, R, Python, SQL, Java, C++, etc. Knowledge of industry standard BA tools, including Cognos, QlikView, Tableau, Power BI, Business Objects, and other tools that could be used for enterprise solutions Desire to learn Agile software development, specifically Scrum Working knowledge with distributed data/computing and database tools: MapReduce, Hadoop, Hive, Kafka, MySQL, Postgres, DB2 or Greenplum, etc. Ability to use issue tracking system Understanding of text analytics, image recognition, graph analysis or other specialized ML techniques Preferred Qualifications: GPA of 3.0 or higher (based on a 4.0 scale) Students looking to continue their education towards a Master of Science degree in Data Science and Business Analytics Strong interest in automotive industry Strong written and oral communication skills Good interpersonal skills Ability to work in a team environment Computer proficient with MS Office products (Word, Excel, PowerPoint) Our benefits reflects the FCA commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life. As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired." Junior Data Analyst/Data Scientist,"Herndon, VA",Numero data LLC,"Job Summary__**Required Skills: Ideal candidate should have a degree in a quantitative field (e.g., mathematics, computer science, physics, economics, engineering, statistics, operations research, quantitative social science, etc.).Basic Knowledge on software development principles and architecture.Good analytical and problem-solving abilities.Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods.Familiarity with programming for data analysis; ideally Python, SQL, or R.Solid oral and written communication skills, especially around analytical concepts and methods.Great work ethic and intellectual curiosity.Knowledge of Cloud technologies such as AWS or Google Cloud.Knowledge of any relational database such as My SQL.Must be a team player with excellent communication and problem-solving skills and have experience working with customers across teams.Job Types: Full-time, Contract" Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Scientist for Growing Internet of Things Company,"San Diego, CA 92121",Veracity Wireless,"Description: We are looking for a Data Scientist to assist our product enhancement and internal process management activities. The Data Scientist will work with us to build data models based on millions of data points. This is an ideal job if you are excited about working with unique data points to create innovative data models within a new and growing industry. We are willing to consider candidates for a contract, or part-time role. Details:Schedule: Flexible Office Hours: 6am to 5pm Mon-Fri Type: Part-time, or Contract. Requirements: Greater than 1 year experience with R Greater than 1 year experience with Python Greater than 1 year experience with MatLab PHD candidate preferred" Junior Data Analyst/Data Scientist,"Herndon, VA",Numero data LLC,"Job Summary__**Required Skills: Ideal candidate should have a degree in a quantitative field (e.g., mathematics, computer science, physics, economics, engineering, statistics, operations research, quantitative social science, etc.).Basic Knowledge on software development principles and architecture.Good analytical and problem-solving abilities.Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods.Familiarity with programming for data analysis; ideally Python, SQL, or R.Solid oral and written communication skills, especially around analytical concepts and methods.Great work ethic and intellectual curiosity.Knowledge of Cloud technologies such as AWS or Google Cloud.Knowledge of any relational database such as My SQL.Must be a team player with excellent communication and problem-solving skills and have experience working with customers across teams.Job Types: Full-time, Contract" Data Scientist I,"Denver, CO",Aegon,"Responsibilities Design experiments and formulate machine learning problems to address major business challenges and innovation opportunities Work with product managers and data engineers to discover, collect, cleanse, and refine the data needed for analysis and modeling Analyze large datasets to extract actionable insights and inform experimental design and model development Write lucid, compelling summaries to communicate results of analysis, model development, and testing which inform how the business should act Collaborate with peers, challenging assumptions and providing constructive criticism and ideas for improvement Build models using a variety of statistical and machine learning techniques, assessing the best type of model for the problem context and using advanced techniques and customizations to optimize model performance Harden models for production deployment and monitor model performance over time Qualifications Masters degree or PhD in computer science, machine learning, data science, mathematics, statistics, or related quantiative field Three years of experience in a data science or machine learning role Excellent knowledge of major machine learning algorithms Fluent in Python and R Experience with machine learning libraries and platforms, like Scikit-learn and Tensorflow Solid statistical analysis skills and a good understanding of experimental design Excellent analytical and problem solving skills Experience working with data at scale in the Hadoop ecosystem Excellent communication skills and the ability to use data to tell a story Willing to learn and keep pace with the latest advances in data science and machine learning Preferred Qualifications In depth machine learning experience focused around computer vision, anomaly detection, or natural language processing. Working Conditions Office environment" 2020 Citizen Data Scientist Internship,"Detroit, MI 48226 (Downtown area)",FCA,"FCA US LLC College Intern Program offers a unique opportunity for highly motivated, innovative, and inspired individuals to work on a challenging assignment where contribution, teamwork, and communication are vital to the success of the organization. As a leading-edge company, we can provide real world challenges and rewarding intern experiences to candidates from a variety of colleges and universities while providing a competitive salary. Interns are assigned to an organization department based on the candidate's background, skill set and interests. The assignments are project-oriented, meaningful to the department and allow the intern to take responsibility for a major task. Interns experience sense of personal accomplishment and contribution, and experience the corporate business culture through work assignments and structured activities. They gain the communication and etiquette skills required in business while sharing knowledge gained from recent courses. They also enhance their computer skills and learn new systems and software. Each 2020 Intern assignment consists of challenging projects with specific goals, providing opportunities for personal growth and development. Interns that demonstrate outstanding qualities may be invited back the following year for a second internship or to interview for full-time positions in various new hire programs. Summer internships are primarily located at the FCA US Headquarters and Technology Center in Auburn Hills, Michigan, other facilities in the Detroit metropolitan area, and business centers located throughout the country. Interns may qualify for a housing allowance and/or travel assistance. During the internship, Interns will have the opportunity to participate in many activities designed specifically to enhance their knowledge of FCA and our products. The student selected for the Citizen Data Scientist Internship will gain experience in requirement gathering, planning, execution, and delivery of data science and machine learning-based projects. This delivery may include creating data visualizations. The bulk of the work will be in areas of data exploration and preparation, data collection and integration. The Citizen Data Scientist will get to gain experience with machine learning (ML) and statistical modeling and data pipe-lining and deployment. The Citizen Data Scientist will assist in cataloging the FCA enterprise wide data catalog, focusing on technical and business documentation. Example projects could include creating a predictive model of when to place an incentive on a model and/or understanding current market conditions related to inventory. Job responsibilities include but not limited to: Collaborates with business analysts and product owners to ensure understanding of business requirements Data Exploration and Preparation: Apply statistical analysis and visualization techniques to various data Generate and test hypotheses about the underlying mechanics of the business process Data Collection and Integration: Understand new data sources and process pipelines Catalog and document their use in solving business problems Data Cataloging: Assisting in the creation of a data catalog that will understand all the relevant data and metadata in the FCA environment, this will include gathering business process and technical information Machine Learning and Statistical Modelling: Apply various ML and advanced analytics techniques to perform classification or prediction tasks Testing of ML models, such as cross-validation, A/B testing, bias and fairness Basic Qualifications: Currently pursuing a Bachelor's degree or higher degree in Data Science or Business Analytics Completion of junior year of college at an accredited university by summer of 2020 Experience in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field or equivalent work experience Coding knowledge and experience in several languages: for example, R, Python, SQL, Java, C++, etc. Knowledge of industry standard BA tools, including Cognos, QlikView, Tableau, Power BI, Business Objects, and other tools that could be used for enterprise solutions Desire to learn Agile software development, specifically Scrum Working knowledge with distributed data/computing and database tools: MapReduce, Hadoop, Hive, Kafka, MySQL, Postgres, DB2 or Greenplum, etc. Ability to use issue tracking system Understanding of text analytics, image recognition, graph analysis or other specialized ML techniques Preferred Qualifications: GPA of 3.0 or higher (based on a 4.0 scale) Students looking to continue their education towards a Master of Science degree in Data Science and Business Analytics Strong interest in automotive industry Strong written and oral communication skills Good interpersonal skills Ability to work in a team environment Computer proficient with MS Office products (Word, Excel, PowerPoint) Our benefits reflects the FCA commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life. As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired." Fandango- Data Scientist,"Beverly Hills, CA",NBCUniversal,"Responsibilities:Work with business owners and data architects to formulate hypothesis and discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products and customer experience.Apply data mining and/or machine learning techniques, doing statistical analysis, and build high quality robust forecasting, prediction and recommendation systems integrated with our products.Gather data insights related to user behavior, product usage, audience segmentation, social media, marketing response, quality of services, and media consumption to drive business decisions.Select features, build and optimize classifiers, recommendation systems, predictive scoring models and forecasting systems using machine learning techniques, data mining using state-of-the-art methods,Extend/augment company’s data with third party public/proprietary data sources of information when neededEnhance data collection procedures to include information that is relevant for building analytic systems.Process, cleanse, and verify the integrity of data used for analysis. Create automated anomaly detection systems and constant tracking of its performancePerform ad-hoc analysis and presenting results and make recommendations in a clear manner to technical and nontechnical audienceWork with product management and internal stakeholders to help dictate the requirements and technical design of Fandango data services and related intelligence toolsOther duties as assigned Qualifications/Requirements Qualifications/Requirements:Master’s Degree in a quantitative field (Computer Science, Engineering, Economics, Business Analytics, Statistics, Operations Research) and minimum 3 years of hands on experience in the data science, machine learning, predictive modeling, data mining or PhD (with no additional exp required)Excellent understanding of machine learning techniques and algorithms (at least 4 of the following): k-NN, Naive Bayes, SVM, Clustering, Regression (OLS, Logistic, MNL), Decision Forests, Linear and Nonlinear OptimizationData oriented personality, good applied statistics skills, such as distributions, statistical testing, probability theory, etc.Familiarity with at least one development language (Python, Scala, Java, C#).Experience with BI reporting tools (Tableau, Microstrategy, SSRS, etc.).Experience with distributed data architectures and their eco-systems (Hadoop/EMR, Hive, Pig, Spark, etc.).Deep expertise in SQL and some experience with NoSQL databases, such as Cassandra, MongoDB, HBaseProven track record working on distributed, scalable, service-oriented platforms. Good scripting and programming skills, proven ability to deliver high quality, production ready code.Expert understanding of the agile software development life cycle.Knowledge of Amazon Web Services (AWS) and Redshift in an enterprise environment.Strong customer service and communication skills (verbal and written) to effectively interact with a diverse team of people across business and engineering.Must maintain regular and acceptable attendance at such level as is determined at the company’s sole discretion.Must be available and willing to work extended hours (during crunch times!) per day including occasional weekends and holidays. Eligibility RequirementsInterested candidate must submit a resume/CV through https://www.fandango.com/careers to be consideredMust be willing to work in Los Angeles, CAMust have unrestricted work authorization to work in the United StatesMust be 18 years or olderIt is the policy of NBCUniversal and NBCUniversal’s affiliated businesses to consider all qualified applicants for employment without regard to race, color, religion, national origin, sex (including pregnancy) sexual orientation, age, disability, veteran status or other characteristics protected by law. Desired Characteristics Willingness to dig into technical concepts/details related to the data platform.Proactive to improving reporting, analysis, and BI development processes.AWS certificationsNaturally inquisitive and self-learnerA team playerStay on top of the latest innovations in data and BI technologiesSub-Business Fandango Career Level Experienced City Beverly Hills State/Province California Country United States About Us At Fandango, we love movies. From showtimes and ticketing, to engaging content and innovations in movie going- we strive to deliver the perfect movie going experience—anytime, anywhere. And to be the go-to destination for moviegoers, we think it’s all about collaboration. Anyone can build a website or app, but it takes a special group across many disciplines to create an experience that can live across multiple platforms and connected devices. Thanks to an exceptional team, we’re working hard to make Fandango a little bit better every day. Our 30 million (and growing!) online and mobile monthly visitors can now buy movie tickets at over 25,000 screens nationwide and stay for exclusive trailers, our award-winning original video series, movie reviews, celebrity interviews and more. So, if you’re looking to inspire, be inspired and work at the intersection of entertainment and technology look no further than Fandango. Visit Fandango.com/careers for a behind-the-scenes look at Fandango and follow us on LinkedIn for the latest news and updates. Fandango is an NBCUniversal Company. We are looking for a seasoned Data Scientist to join our team. If you love movies and data, this might just be your dream job! Notices NBCUniversal’s policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable." General Motors Data Scientist - New Master's Graduate,"Detroit, MI",General Motors,"Who we are At General Motors, we embrace the opportunity to think bigger and aim higher. It’s the confidence in knowing our ideas produce exceptional vehicles and mobility solutions that move the world in exciting new ways. With strong leadership and bold vision, we’re directing the future of transportation—and enriching people’s lives along the way.What we do Breakthroughs happen every day here—from advances in vehicle electrification and fuel cell technology to automation and connected car platforms. The knowledge and perspectives of our diverse workforce offer insight into the changing needs of our customers, spark inventive ways to improve our vehicles and elevate our business. And we’re developing more sustainable methods along the way that maximize our planet’s resources and benefit our surrounding communities.Why work with us We combine the passion of a startup with the influence of a global powerhouse. We offer careers that are built on a strong foundation and are motivated by discovery. We encourage you to explore few of the many reasons to unleash your talent with General Motors.GM has led the automobile industry for years with its connected cars, OnStar service, 4G Wifi in virtually every automobile, and most recently its venture into autonomous cars. The prevalence of these data across literally millions of cars translates into massive amounts of data ranging from car performance (tire pressure, gas consumption, radio utilization, etc.) to driver behavior (speeding, sudden stops, location, and the like). Simultaneously, over the past 5 years, Information Technology has created a best-in-class Hadoop environment to house these and other data about the customer including digital behavior, third-party demographics, service and warranty transactions, and many more. To-date, most of these data have gone untapped and the Chairman and CEO believes there is opportunity to create better customer experiences, maximize safety, drive incremental revenue, and monetize the data externally through marketplaces and new products. To solve for this, the company recently hired its first Chief Data & Analytics Officer, who will shepherd a cross-enterprise endeavor to maximize the ROI of its Data and Analytics efforts.The Function & Role Data Scientist applies Data Science and Modeling techniques to solve complex business problems within General Motors. They must be able to Build predictive models and machine-learning algorithms, analyze large amounts of information to discover trends and patterns, undertake preprocessing of structured and unstructured data as well as monitor and sustain model effectiveness. They will need to be able to combine models through ensemble modeling, present complex information using data visualization techniques and propose solutions and strategies to business challenges that drive business impact.Key partners § Line of Business and Function leaders (client) § Information Technology (for data and tools) SkillsProficient in one or more core analytical tools / suites / languages such as SAS, Python, R, Spark Scala, Mathematica and understand their limitations Proficient in one or more analytical methodologies such as numerical optimization, econometric modeling and forecasting, statistical modeling, machine learning, optimization, simulation methods and text analytics Ability to present results to the business client and analytic peers. Experience ( Entry Level)Master's degree in Mathematics, Statistics, Computer Science, Economics, MIS, Data Analytics, or Science with emphasis in at least one of the following areas of concentration: Econometric modeling Forecasting Statistical modeling Machine learning Text analytics and/or Optimization/simulation methods At least 5 years (applied or academic) of demonstrated hands-on experience on 4-6 projects utilizing the tools disciplines outlined above." Junior Data Scientist,"Bloomington, IN",DataSprouts,"Job Description DataSprouts is looking for a Junior Data Scientist to join our team in Bloomington,IN. Data Scientist will work in close collaboration with our team to implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms. Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Perform complex data analysis and large scale data-mining tasks Interpret trends, patterns in large data sets and identify anomalies Create models that depict trends Analyze and interpret results using statistical analysis, complex logic and other techniques Monitor and manage data flow for use in future analysis Work as key contributor to cross-functional, multi-disciplinary teams assembled for large scale data science projects Qualifications College Degree, Technical of Quantitative Discipline (Data Science, Mathematics, Statistics, Computer Science) An advanced understanding of supervised and unsupervised learning techniques including; variable selection, feature engineering, model generation, model diagnostics, and deployment. Excellent statistical skills that are grounded in a thorough understanding of testing and frequentist/Bayesian methodologies Prior working experience in design and developing analysis techniques that uncovers patterns, trends and anomalies in large scale data using regression analysis, queue modeling, machine learning, and neural networks Demonstrable knowledge of data querying & analytics tools, processes & methodologies Working experience in using cloud environments such as AWS and Azure Experience in any of the Programming languages: Python, R, Java Experience in utilizing reporting packages like Tableau Ability to manage multiple assignments with shifting priorities while meeting deadline We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment. If Interested, Please contact jobs@datasprouts.com" Data Scientist,"Monrovia, CA 91016",ChromoLogic,"We are a world class research and product development company located in Monrovia, CA with an opening for a Data Scientist. The ideal candidate will have a strong background in image processing, spectral analysis, or statistics. The Data Scientist will be expected to explore and develop new algorithms for new products and to enhance our current product lines. This opportunity provides an exceptional opportunity for career growth and future leadership opportunities. Job DutiesDesign algorithms based on client requirementsDefine system specifications for hardware and software requirements for image processingCollaborate with engineers and scientistsModel and test and optimize new algorithms against simulated and real world dataDocument algorithm designAssist software engineers with implementation in Python and C++Initiate original ideas (product and research)Collaborate/Lead highly multi-disciplinary internal and external teams to advance research and product development goals QualificationsBS in Biological, Physical Sciences, Statistics, or Computer Engineering with 4+ years of postgraduate (industrial) work experienceExcellent written and oral communicationsPython, OpenCV, MATLAB, C++Image Processing, Spectral Analysis, Object Detection, Signal Processing, etc.Segmentation, Classification, Machine LearningGovernment contracts require the applicant be a US Citizen or US Permanent Resident (Green Card) BenefitsHighly competitive Flexible Salary ProgramAbove industry standards fringe benefitsGive Back & Get Back: Volunteer 4 hours of your time to the community and receive one full day offCompany paid holidaysPaid vacation & sick days401k options Submit resume to: careers@chromologic.com The subject of the email must be “APPLICATION FOR DATA SCIENTIST” all in capitals" "Data Scientist, Austin, TX","Austin, TX 78731",Dell,"Dell Technologies is a unique family of businesses that helps organizations and individuals build their digital future and transform how they work, live and play—providing customers with the industry’s broadest and most innovative technology and services portfolio. We value our customers, winning together, innovation, results and integrity. Grow your career with a highly competitive salary, bonus programs, world-class benefits and unparalleled learning and development opportunities— all at a company that is proud to be diverse and inclusive. Learn more on how we are closing the diversity gap here. Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Data Scientist on our Global Operations, Data Analytics and Automation team in Austin, Texas. Responsibilities Provide data science services and work with stakeholders to assess demands and suggest data science methods that provide practical, value-added answers for the company. Develop and deliver data science solutions to further advance Dell’s competitiveness in the areas of global supply chain and operations Deep dive into data to find answers to yet unknown questions and have a natural desire to go beneath the surface of a problem. Ask relevant questions and build algorithms necessary to find meaningful answers. Requirements MS in Engineering, Statistics, Computer Science, or Data Sciences (or equivalent experience) and 6+ years of relevant data science work experience Advanced knowledge of statistics utilizing statistical programming languages (R, Python, SQL, Microstrategy, Microsoft PowerBI and Tableau) Expertise in data science models, platforms, tools and technologies BI, Data Mining, Machine Learning experience Experienced in data management, building packages, measuring and maintaining data quality Preference Advanced knowledge of Microsoft BI Stack or Pivotal Stack Benefits We offer highly competitive salaries, bonus programs, world-class benefits, and unparalleled growth and development opportunities — all to create a compelling and rewarding work environment. Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Dell encourages applicants of all ages. Read the full Employment Opportunity Policy here. Job Family: Data-Science-&-Analytics Job ID: R062462" "Data Scientist, Junior","Arlington, VA 22202 (Aurora Highlands area)",Booz Allen Hamilton,"The Challenge: Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a Data Scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection to cancer research, to national intelligence — you know the answers are in the data. We have an opportunity for you to use your analytical skills to improve the Defense industry. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll write scripts, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership within the personnel and readiness market make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good to support our clients’ missions. Empower change with us. You Have:Experience with machine learning, data mining, statistics, data analysis, mining, and visualization softwareExperience with R, Python, Statistical Analysis System (SAS), or Visual Basic for Applications (VBA)Experience with Microsoft OfficeKnowledge of relational database management systems, including Structured Query Language (SQL)Ability to author complex documents describing and visualizing analytical resultsAbility to obtain a security clearanceBA or BS degree Nice If You Have:Experience with Big Data analysis programming techniques and technologies, including HadoopPossession of excellent data gathering, analytical, and problem-solving skillsPossession of excellent oral and written communication skillsMS degree in CS, Computer Engineering, Systems Engineering, or a related field Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Build Your Career: At Booz Allen, we know the power of analytics, and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to: access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk change the world with the Data Science Bowl—the world’s premier data science for social good competition participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, onsite boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success. We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change." Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Data Scientist for Growing Internet of Things Company,"San Diego, CA 92121",Veracity Wireless,"Description: We are looking for a Data Scientist to assist our product enhancement and internal process management activities. The Data Scientist will work with us to build data models based on millions of data points. This is an ideal job if you are excited about working with unique data points to create innovative data models within a new and growing industry. We are willing to consider candidates for a contract, or part-time role. Details:Schedule: Flexible Office Hours: 6am to 5pm Mon-Fri Type: Part-time, or Contract. Requirements: Greater than 1 year experience with R Greater than 1 year experience with Python Greater than 1 year experience with MatLab PHD candidate preferred" Junior Data Scientist Apprenticeship,"Armonk, NY 10504",IBM,"Introduction As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.Your Role and Responsibilities As a Junior Data Scientist Apprentice at IBM, you will work as part of a team to solve business-related problems using data-driven techniques. You will apply the scientific method to business scenarios, clean and prepare data for statistical and machine learning modeling, work with a variety of analytical algorithms to build models that better explain data relationships and predict potential scenarios, translate data insights into business value, and communicate results to difference audiences. You will also master different technologies for model deployment. Throughout your apprenticeship, you’ll work closely with other experienced data scientists and mentors in an interactive, collaborative environment. You’ll learn the fundamentals of probability, statistics, linear algebra, data preparation, data modeling, and deployment of machine learning models. In addition, you will be introduced to additional concepts, skills and tools including Python, Hadoop, and Spark, presentation skills, communication skills, and you will apply these skills to prepare for and successfully obtain data science experience that may lead to certification as a Junior Data Scientist. IBM Certification as a Junior Data Scientist provides the credentials and career milestone that is earned through demonstrated usage of Data Science tools and methodology through case studies, business references and technical references. Our apprenticeship program will give you the opportunity to build your skills to grow your career as a Junior Data Scientist.What is an Apprenticeship? IBM Apprenticeship Program is an official registered apprenticeship recognized by the Department of Labor (DOL). Every graduate of a Registered Apprenticeship program receives a nationally-recognized credential from the DOL. During the apprenticeship duration, you will be required to complete specific learning hours and on the job training that has been outlined to ensure you are developing the skills and competencies essential to the role. You will be able to learn and grow at your own pace, but we expect most apprentices will complete their learning within 24 months. Once you graduate and receive your certificate from our apprentice program, you will be eligible to apply to available full-time roles at IBM.Who you are An apprenticeship is about learning. We’re seeking candidates who have the following requirements, but we know you’re just getting your career started, and we’re committed to helping you learn and grow. If you are a highly curious individual, with a passion for learning, and a love of mathematics and data, you’re exactly the type of candidate we’re looking for. Data scientists are inquisitive: exploring, asking questions, doing what if analysis, questioning existing assumptions and processes. They are analytically-minded, statistically and mathematically driven. To be successful, you need: Drive and eagerness to learn Strong problem solving, critical thinking, organization, and communication skills Ability to work independently and take initiative, as well as work collaboratively and contribute in a team environment as data science is a team sport Ability to think analytically in solving problemsWhat’s the experience? As an apprentice, you'll join with other apprentices in a local cohort. You'll go through the program together, learning about IBM and the skills you'll be attaining throughout your apprenticeship. Then, you'll work with your managers and mentors to progress through your personal skills roadmap, learning and demonstrating new knowledge and competencies through hands-on application with your project teams. You'll complete milestones along the way, earning digital credentials to validate your skills, and will come back together with other apprentices to participate in on-going training and development focused on your professional and technical skills. Best of all, you are a contributing member of your team, putting forward ideas, taking on responsibilities and making choices about how you get the job done just like any other IBMer. Relocation funding is not available for this role. ncappxRequired Technical and Professional Expertise Willingness to complete the requirements of the apprenticeship program Curiosity, Passion for learning, Love for math, data, and analysis Some knowledge or experience in ONE or more of the following: Java, JavaScript, PHP, C#, Objective-C, C/C++, Python, Ruby and/or functional languages (Haskell, Scala, F#, Clojure) Preferred Technical and Professional Expertise An undergraduate degree is not required, but students who have taken high school advanced math, and statistics classes are preferred Python Programming knowledge About Business Unit The IBM Finance organization is responsible for driving enterprise performance and transformation. We are the financial stewards of IBM, delivering IBM’s financial strategy, developing new business models, and mitigating enterprise risk. Do you have a passion for creating business value? Join our team in accounting, financial planning, pricing, business controls, tax, treasury, business development (acquisitions & divestitures), and global financing.Your Life @ IBM What matters to you when you’re looking for your next career challenge? Maybe you want to get involved in work that really changes the world? What about somewhere with incredible and diverse career and development opportunities – where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust – where everyone has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, not to do something better, but to attempt things you never thought possible. Impact. Inclusion. Infinite Experiences. Do your best work ever.About IBM IBM’s greatest invention is the IBMer. We believe that progress is made through progressive thinking, progressive leadership, progressive policy and progressive action. IBMers believe that the application of intelligence, reason and science can improve business, society and the human condition. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.Location Statement IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.Being You @ IBM IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status." Data Scientist,"New York, NY 10004 (Financial District area)",NYC Department of Consumer Affairs,"City of New York DEPARTMENT OF CONSUMER AFFAIRS Job Vacancy Notice Civil Service Title: City Research Scientist Level: IITitle Code No: 21744 Salary: $75,504.00 / $86,830.00** minimum with two years of continuous city serviceOffice Title: Data Scientist Work location: 42 Broadway, New York, NYDivision/Work Unit: Office of Labor Policy and Standards Number of Positions: 1Job ID: 430813 Hours/Shift: 9:00 AM to 5:00 PMJob Description The NYC Department of Consumer Affairs (DCA) protects and enhances the daily economic lives of New Yorkers to create thriving communities. DCA licenses more than 81,000 businesses in more than 50 industries and enforces key consumer protection, licensing, and workplace laws that apply to countless more. By supporting businesses through equitable enforcement and access to resources and, by helping to resolve complaints, DCA protects the marketplace from predatory practices and strives to create a culture of compliance. Through its community outreach and the work of its offices of FinancialEmpowerment and Labor Policy & Standards, DCA empowers consumers and working families by providing the tools and resources they need to be educated consumers and to achieve financial health and work-life balance. DCA also conducts research and advocates for public policy that furthers its work to support New York City’s communities. For more information about DCA and its work, call 311 or visit DCA at nyc.gov/dca or on its social media sites, Twitter, Facebook, Instagram andYouTube.The Office of Labor Policy and Standards (“OLPS”) is responsible for enforcing the city’s municipal labor laws such as theEarned Safe and Sick Time Act, Fair Workweek Laws, Commuter Benefits Law, and the Freelance Isn’t Free Act. OLPS also works closely with stakeholders on outreach and public education efforts to reach vulnerable workers and conducts research and data analysis to support enforcement and make policy recommendations. The Office’s Division of Paid Care assists workers submit complaints regarding federal, state, and local labor and employment law violations and helps the Office coordinate with other government agencies, worker advocacy groups, as well as community, labor, and employment organizations.OLPS is seeking a Data Scientist to play a key role in the enforcement of groundbreaking new legal protections for workers, especially the Fair Workweek Laws, which prohibit abusive scheduling practices, and the Earned Safe and Sick Time Act, which guarantees the right to paid sick leave. Reporting to the OLPS Research Director, the Data Scientist will work closely with the Office’s investigation and litigation teams to develop and implement strategies for the discovery, collection, and analysis of employer data relating to compliance with city workplace laws. Working on the Office’s most complex cases, theData Scientist will help collect and use this data to identify violations of NYC workplace laws, assess the validity of claims by employers and workers, calculate employee relief and civil penalties, and guide investigators in the collection of testimonial evidence and other documentation. The Data Scientist will also create systems to automate and standardize data collection and analysis, which may include communicating with employers and workforce management software providers about data structures, developing tools for OLPS staff to use in analyzing employer data, and recommending changes to laws, rules, and agency guidance. The Data Scientist will work closely with the Directors of Investigation and Litigation to refine and implement investigative methods and play a critical role in ensuring working New Yorkers can enjoy the protections they are entitled to under the law.Responsibilities include:Working with investigators and attorneys on enforcement actions requesting data relevant to employers’ compliance with NYC workplace laws;Communicating with employers’ counsel and technical staff to ensure delivery of responsive data, along with all information necessary for its interpretation;Using appropriate data analysis tools to describe employer practices, identify key witnesses, and calculate damages;Developing data analysis tools for use by investigators and attorneys, training investigators and attorneys in their use, and supervising their application;Assessing all aspects of how OLPS uses data in its investigations and litigation and recommending and implementing improvements;Developing close familiarity with the design and use of common business process applications used by employers to track employee schedules, time worked, and payroll; andRecommending changes to laws, rules, and agency guidance to the extent they may relate to any of the functions described above.Assisting with other aspects of the OLPS research team’s work, including analyses of labor market data or the Office’s internal administrative data.Minimum Qualification Requirements 1. 1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or3. Education and/or experience which is equivalent to ""1"" or ""2"" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in ""2"" above.Two years as a City Research Scientist Level I can be substituted for the experience required in ""1"" and ""2"" above.PLEASE NOTE: New York City residency is required within 90 days of appointment. However, City employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview. Preferred Skills Background in data analysis, including experience with statistical packages (e.g., Python, R, Stata) and relational databases (e.g., advanced SQL queries);Familiarity with common business process applications and their associated data structures;Ability to communicate technical concepts and results to non-technical audiences;High level of organization, including ability to ensure findings are reproducible and analytical choices are transparent and well-supported;Experience in handling multiple assignments with competing deadlines with a high degree of detail and accuracy;Strong verbal and written communication skills;Ability to occasionally work flexible hours, including nights and weekends; andMultilingual a plus.To Apply For Non-City/External Candidates: Visit the External Applicant NYC Careers site and type “Consumer Affairs” on the search line. Then locate the Job ID number . For Current City Employees: Visit Employee Self Service (ESS) to view and click on Recruiting Activities, Careers, and search by Job ID number.A RESUME AND COVER LETTER ARE REQUIRED .PLEASE INDICATE IN YOUR COVER LETTER HOW YOU HEARD ABOUT THIS POSITION. _INCOMPLETE APPLICATIONS WILL NOT BE CONSIDERED. __ NO PHONE CALLS, FAXES, E-MAILS OR PERSONAL INQUIRIES PERMITTED. __NOTE: ONLY THOSE CANDIDATES UNDER CONSIDERATION WILL BE CONTACTED. __ _*Appointments are subject to Office of Management and Budget (OMB) approval. * 55-a Candidates: NYC Department of Consumer Affairs is committed to recruiting and retaining a diverse and culturally responsive workforce. We strongly encourage 55-A candidates to apply to our positions in order to be given the opportunity.** LOAN FORGIVENESS: The federal government provides student loan forgiveness through its Public Service LoanForgiveness Program (PSLF) to all qualifying public service employees. Working with DCA qualifies you as a public service employee and you may be able to take advantage of this program while working full-time and meeting the program’s other requirements. Please visit the Public Service Loan Forgiveness Program site to view the eligibility requirements: https://studentaid.ed.gov/sa/repay-loans/forgiveness-cancellation/public-servicePost Date: 01/28/2020 Post Until: 03/28/2020 JVN: 430813DCA and the City of New York is an equal employment opportunity employer.Job Type: Full-timeSalary: $75,504.00 to $86,860.00 /yearWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceSchedule:Monday to Friday" Data Scientist,"Chicago, IL 60606 (The Loop area)",MessageControl,"Company Description MessageControl is a cybersecurity start-up in Chicago providing human layer email and messaging security. Our innovative technology protects users from phishing, spoofing, fraud, business email compromise (BEC), and other types of attacks. Job Description As a Data Scientist at MessageControl you’ll be building intelligent products to protect people from sophisticated email attacks. In this position, your data science expertise will help us build new features and improve our existing security products. Our transparent and collaborative culture means we work both independently and together as a team on projects in an agile environment. What you bring to the team: Partner with stakeholders across the organization to identify high-impact opportunities to use our data to further our innovative product strategy. Build complex predictive models using Machine Learning and Deep Learning algorithms to substantially improve our email security tools. Assess the potential usefulness and validity of new ML and DL approaches and data sources. Develop proof-of-concept prototypes to prove out hypotheses. Manage experience with data, including complex queries, exploratory data analysis, data visualization, advanced modeling and communication of applicable insights to audiences at varying levels of technical sophistication. Help drive our data science culture and strategy. Qualifications Desirable Skills and Experience: Must at least 1 year of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. Outstanding quantitative background (e.g. statistics, math, machine learning, operations research, etc.): Graduate degree required and Ph.D. preferred. Familiarity with technical tools for analysis - Python (with Pandas, Scikit-learn, etc.), SQL, etc. Prior experience using natural language processing techniques is a plus. Previous software development experience is required, including usage of version control systems such as git and writing tests Research mindset with a bias towards action. You are able to structure a project from idea to experimentation to prototype to implementation. Must be a passionate and attentive self-starter, a great communicator, and possess the ability to follow-through initiatives to completion. You have a great work ethic and love the responsibility of being held accountable for the results. Additional Information Perks/Benefits: Direct access to senior management – our leadership team works alongside our team members every day. Comprehensive medical, dental, and vision insurance. Company paid life insurance, short term disability and long term disability. Flexible paid time off (PTO) policy, plus sick days. Ongoing professional development opportunities by level and function. Your choice of Windows or Mac laptop. Onsite gym. Casual dress in a fun, friendly and collaborative work environment. The ability to have significant impact every day. Location: This position is onsite at our office in the Chicago Loop. We're not offering remote employment at this time." Data Scientist,"Culver City, CA",Ipsos North America,"Data Scientist Location: Culver City, Los Angeles California Division: Global Science Organization (GSO), Data Science & AI Lab The Data Science & AI Lab of the Ipsos GSO is a uniquely positioned group within Ipsos. We serve as the global R&D capability bridging data science with market research offerings. The team develops analytic tools, builds data science models for pilot studies and internal stakeholder analytics innovations, and consults on a broad range of data and research best practices. Working in a collaborative and supportive environment, we seek to expand what is possible in market research with data science. We’re looking for someone with a deep interest in data and analytics and the dedication to apply that passion. We need someone that possesses the technical ability to write production-level code and implement data science methods for a diverse set of applications, as well as uncover insights from the models and communicate them concisely and clearly to stakeholders at varying levels of technical sophistication. The role also requires an observant attention to detail, the ability to work well on a small team, and a self-starter approach to problem-solving and debugging. As a Data Scientist, you will: Work closely with team members on design and execution of large-scale modeling efforts, contributing to analytics libraries and integrating statistical theory Collaborate on engineering new data science products by translating needs identified with stakeholders into analytic frameworks that can be built into polished user-facing tools Build, maintain, and enhance existing codebases Synthesize academic research, tech innovations, and cloud scalability, to elevate business value for clients, both current and prospective Validate analytics innovations from marketing science and data science teams globally Provide consulting for internal teams and clients on data engineering and hygiene, areas for improving process efficiency, and data science algorithms and results Requirements: High proficiency writing R and/or Python, including the ability to produce and maintain reusable and modular codebases Bachelor’s degree Desire to work in a highly collaborative, fun, consensus-oriented environment. Experience in analytics, extracting and surfacing value from quantitative data Attentive learner with excellent time-management skills Ability to lucidly communicate data science concepts verbally and in written form Pluses: Professional or academic experience with modern techniques and algorithms in machine learning and statistical computing such as neural networks, genetic algorithms, Bayesian modeling, data fusion, drivers analysis, clustering, predictive analytics, network analysis, Monte Carlo, and agent-based models. Experience developing data science models in cloud platforms (e.g. GCP, AWS) Working knowledge of SQL and experience with database design and administration. Experience with Linux server and system administration. Experience with collaboration tools (e.g. Atlassian suite) and version control systems (e.g. Git). Experience integrating R and/or Python with each other and C\C++. Large dataset manipulation. Experience in distributed storage and computing. Experience with ReactJS, TypeScript/JavaScript, visualization libraries (e.g. d3.js). Experience creating and deploying web apps (e.g. Electron, web2py). Advanced degree (M.S., Ph.D.), but not required. Experience in the field of Market Research. Required Skills Required Experience" Data Scientist,"Katy, TX 77493",Weatherford,"ORGANIZATION SUMMARY Weatherford is one of the largest multinational oilfield service companies providing innovative solutions, technology and services to the oil and gas industry. The Company operates in more than 80 countries and has a network of 620 locations, including manufacturing, service, research and development, and training facilities and employs more than 24,000 people. For more information, visit www.weatherford.com and connect with Weatherford on LinkedIn, Facebook, Twitter and YouTube. JOB DESCRIPTION Weatherford’s Production business is seeking a Data Scientist who is passionate about data and wants to apply machine learning techniques to solve problems for our customers. This person is expected to be proficient in the exploration and understanding of structured and unstructured data, machine learning techniques, statistical modeling methods, predictive analytics, anomaly detection, and supervised and unsupervised learning. The successful candidate will work with stakeholders to leverage data to solve critical business problems in the oil & gas production domain. The Data Scientist will work on all aspects of the design, development and delivery of machine learning enabled solutions including problem definition, data acquisition, data exploration, feature engineering, experimenting with various ML algorithms, evaluating metrics, deploying models and iteratively improving the total solution. He or she will work with data from diverse, unstructured formats including numerical, time series, text, and image. Design and train models for use in production environments. Formulate meaningful hypothesis that are relevant to the business objectives Mine structured and unstructured data for patterns. Utilize data from databases, historians, and/or data lakes. Rigorously build, analyze and compare machine learning or statistical models; there is a strong emphasis on programming using the most popular machine learning languages such as Python. Work with application developers to develop data-analytics products that are deployed to end-users as part of packaged solutions. Visualize and report findings of deployed data analytics solutions to provide insights to the organization and our customers. QUALIFICATIONS B.S. or higher in Engineering, Mathematics, Statistics or Computer Science with significant experience in data analytics. MS degree with 5+ years experience is preferred. Expertise in predictive modeling, machine learning and statistics. Software development skills in one or more high level languages (Python/Java/R/Scala). Experience using one or more of the following common ML software packages: Scikit-learn, TensorFlow, NumPy, Pandas, Jupyter. Well-versed in machine learning algorithms and which is the best for solving various problems: Regression, Bayesian, Support Vector Machines, Decision Trees, Random Forest, Clustering, Neural Networks. Experience in using SQL/No SQL databases is an advantage. Experience working in Linux is an advantage. Experience with Big Data technologies is an advantage (Hadoop, Hive, Spark, Cassandra). Good critical thinking, technical, data collection and user interviewing skills. Ability to work as a team member in a fast-paced environment. POSITION SPECIFIC DETAILS Weatherford offers competitive compensation and benefits upon hire; including paid vacation to start, matching 401K program, comprehensive benefits program and opportunities for on-going training and career development. VEVRAA Federal Contractor – Priority Referral Requested Weatherford is an Equal Opportunity Employer Females/ Minorities/ Veterans/Disabled and gives consideration for employment to qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status." Data Scientist I- EIP,"Charlotte, NC",Bank of America,"Job Description: Typically 7-10 years of experience. Develops, enhances, debugs, supports, maintains and tests software applications that support business units or supporting functions (primary based on data-warehouse Teradata). These application program solutions may involve diverse development platforms, software, hardware, technologies and tools. Participates in the design, development and implementation of complex applications Supports systems through maintenance, modification, problem resolution to support ongoing delivery of services and/or operations. Participates in design, development and implementation of architectural deliverables, to include components of the assessment and optimization of system design and review of user requirements. Contributes to the determination of technical and operational feasibility of solutions. Develops prototypes of the system design and works with database, operations, technical support and other IT areas as appropriate throughout development and implementation processes. Serves as a fully seasoned/proficient technical resource - should be ready to get into the weeds of the code, analyze and research data problems, discuss technical details with the development/support team. Provides tech knowledge and capabilities as team member and individual contributor, but also responsible for instructing, directing, and checking the quality and timeliness of other systems professionals, including offshore resources. May lead multiple projects with competing deadlines. Works under minimal supervision, with general guidance from manager. Technical Proficiency: Essential to have: SQL Programming, Data-warehousing & Database concepts and technologies, ETL programming, Teradata, BI tools like Tableau, Unix shell scripting, Schedulers like Autosys Great to have: SSIS/SQL Server experience, Lab Systems Administration (Install software packages in Lab environments, restart servers, etc) Plus to have: SAS, R / Python programming, Data Science - AI / ML, Big data (Hadoop) Behavioral Proficiency: Strong analytical and problem solving abilities Good communication (oral and written) skills Speaking / presentation skills in a professional setting Excellent interpersonal skills and a team player to work all along with Global teams and business partners Positive attitude and flexible Willingness to learn new skills and adapt to changes Shift: 1st shift (United States of America) Hours Per Week: 40" SSD Data Scientist,"San Diego, CA",Kaiser Permanente,"Provides technical direction, including both strategic and tactical planning, execution and support of strategies for the SCPMG Medical informatics group. The position entails developing machine learning approaches to address healthcare's triple aim: to improve the health of populations, to lower the cost of care, and enhance the care experience. Essential Responsibilities: Design, develop, and evaluate state-of-the-art machine learning models for complex, large-scale data sets. Use statistical and machine learning techniques to provide clinical decision support as well as improve auditing and standards of care workflows. Deliver insights and values from heterogeneous data to investigate complex problems in the health care domain for multiple use cases. Use machine learning, statistical and programming skills to enable data analytics. Drive informed decision-making and present findings to both technical and non-technical audiences. Work closely with physicians to identify medically relevant use cases, develop machine learning models, and validate impact Provide technical direction and mentor junior members of the Medical Informatics team. Work closely with software engineers to facilitate model integration and deployment Embrace a fast paced, collaborative environment dedicated to building atop cutting-edge technology. Basic Qualifications: Experience Minimum five (5) years of experience in architecting and building scalable distributed systems, working in a fast-paced multidisciplinary environment, advocating innovative uses for data, including methodologies, techniques, and tools, working with Software Development Life Cycle (SDLC) and leading from conceptualization to production stage large-scale applications. Education Master's degree (MS) in computer science or related fields License, Certification, Registration N/A Additional Requirements: Experience with deep learning frameworks: e.g. Tensorflow, PyTorch. Knowledge of classification and regression algorithms Experience with Deep Learning approaches to Natural Language Understanding (NLU) and Language Modeling. Experience with time series analysis, discrete data modeling and feature engineering. Expert knowledge of Python Experience with SQL Preferred Qualifications: Experience with Java/C++ Experience with machine learning continuous integration and deployment Experience with Tensorflow ServingDoctorate degree in computer science or related fields Knowledge of healthcare terminology PrimaryLocation : California,San Diego,El Camino Real Administration HoursPerWeek : 40 Shift : Day Workdays : Mon, Tue, Wed, Thu, Fri WorkingHoursStart : 8:00 AM WorkingHoursEnd : 5:00 PM Job Schedule : Full-time Job Type : Standard Employee Status : Temporary Employee Group/Union Affiliation : Salaried, Non-Union, Exempt Job Level : Individual Contributor Job Category : Information Technology Department : Systems Solutions & Deployment Travel : No Kaiser Permanente is an equal opportunity employer committed to a diverse and inclusive workforce. Applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, sexual orientation, national origin, marital status, parental status, ancestry, disability, gender identity, veteran status, genetic information, other distinguishing characteristics of diversity and inclusion, or any other protected status. External hires must pass a background check/drug screen. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with federal and state laws, as well as applicable local ordinances, including but not limited to the San Francisco and Los Angeles Fair Chance Ordinances." "Data Scientist 5+ Years Experience, Los Angeles","Los Angeles, CA",Snapchat,"Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together. We’re looking for a Data Scientist to join Snap Inc! Working closely alongside the engineering, product design and product management teams, you will enjoy creating inventive, data-based approaches to solving difficult business problems. Working from our Los Angeles, CA headquarters, you’ll work to transform business questions into data analysis.What you’ll do: Partner with Product and Engineering and apply your expertise in quantitative analysis to create and scale insights Create testable hypotheses, then test them Effectively report your insights via visualization and dashboards that you create Help business and engineering partners make decisions based on data Knowledge, Skills & Abilities: Ability to initiate and drive projects to completion with minimal guidance Ability to communicate the results of analyses in a clear and effective manner to a senior audience Machine learning skillsMinimum Qualifications: Bachelor's in math, statistics, computer science, or other quantitative field 5+ years of experience in quantitative analysis & data science or a related field Fluency in SQL or other big data querying language Preferred Qualifications: Strong statistical knowledge MA degree in math, statistics, computer science, or other quantitative field Experience in a product-focused role at a social media and/or mobile technology company Experience with analytical packages such as SciPy or R Experience with data pipeline workflow monitoring and scheduling platforms (e.g., Airflow) Experience with a programming language, such as Python At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at accommodations-ext@snap.com ." Data Scientist,"Beverly Hills, CA",Valence Media,"Who we are: Valence Media is comprised of The Billboard-Hollywood Reporter Media Group, Media Rights Capital, and Dick Clark Productions; Valence is also a minority investor in A24 and Fulwell73. As a diversified media company, Valence Media has expertise in content creation, distribution, and monetization across premium television, wide-release film, specialty film, live entertainment, and digital media. Its core mission is to offer a unique environment to develop and attract great leaders through collaboration across platforms, professional development and learning, and a focus on building an industry-leading culture of inclusion, diversity, and safety. As a data scientist on the Valence Media Data team, this individual will design and execute end-to-end data science solutions within a cloud-based analytic infrastructure, partner with data engineering and analytic teams in transforming the insights into actionable endpoints, carrying the data science solution to production and managing the publication of the endpoints for downstream consumption. What you'll do: Perform large-scale data analysis and develop effective statistical models for segmentation, classification, optimization, time series, etc. Design reporting dashboards that track key business metrics and provide actionable insights. Identify actionable insights, suggest recommendations and influence the direction of the business by effectively communicating results to cross-functional groups Work closely with Product or Engineering & Operations teams to proactively create rule and manage decisions. Prioritize leads so that the teams work on the most valuable cases. Suggest improvements in the tools and techniques to help scale the team Your experience and skills: Experience as a Programmer - R, Scala, Python, Perl, Java, and/or C++ Experience in collaborating with individuals and organizations Prior experience in solving analytical problems using quantitative approaches Valence Media is an equal opportunity employer. Applicants are considered for employment without regard to race, religion, creed, color, national origin, ancestry, medical condition (including genetic characteristics), mental and/or physical disability or handicap, marital status, sex, age, veteran status, citizenship status, sexual orientation, gender identity, political party preference, political belief, socioeconomic status, familial status, registered domestic partner status, military service, pregnancy, childbirth and related medical conditions and any other characteristic or activity protected by federal, state or local law. No Phone Calls. No agencies please. Due to the volume of resumes that we receive, only those candidates selected for consideration will be contacted. Valence Media is an equal opportunity employer. Applicants are considered for employment without regard to race, religion, creed, color, national origin, ancestry, medical condition (including genetic characteristics), mental and/or physical disability or handicap, marital status, sex, age, veteran status, citizenship status, sexual orientation, gender identity, political party preference, political belief, socioeconomic status, familial status, registered domestic partner status, military service, pregnancy, childbirth and related medical conditions and any other characteristic or activity protected by federal, state or local law T8WiNwZi8m" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" "Content Data Scientist, Apple Media Products Data Science","Culver City, CA",Apple,"Summary Posted: Aug 27, 2019 Role Number:200095659 At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. If you are an ambitious, high-energy individual who is not afraid of challenges, we’re looking for you. Apple is seeking an expert Data Scientist to join a team passionate about Content Data Science & Analytics for Apple Media Products (AMP), covering the App Store, Apple Music/iTunes, Video and other services. This role will involve working with Internet-scale data across numerous product and customer touch points, undertaking in-depth quantitative analysis and building models to drive strategy. The team’s culture is centered around rapid iteration with open feedback and debate along the way, plus strong collaboration with product, engineering, business, and marketing partners. Key Qualifications 3+ years of experience as a Data Scientist or Data Analyst, preferably for an app or digital subscription business. You should have a strong and curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action. Well-versed in SQL languages. Experience with big data technologies such as Hadoop and Spark preferred, building models for data analytics a plus. We need familiarity with Python or R and data visualization tools such as Tableau for full-stack data analysis, insight synthesis, and presentation. Experience using relevant statistical packages to build predictive/ML models. We value familiarity with A/B test experimentation design. Excellent communication, interpersonal and presentation skills with meticulous attention to detail. We seek someone with excellent time management skills with the ability to lead work to tight deadlines and handle the pressure of executive requests and product launches. Description You will dive deep into data to uncover trends identify key insight, and craft machine learning models that will propel the Apple Media content strategy. You will craft how best to monitor, measure and understand performance. You will be collaborating with product, business, marketing, finance and executive teams to generate regular presentations for C-level. You will be partnering with other Apple organizations on data gathering, data governance, evangelizing key performance indicators and democratizing data. Education & Experience Minimum of a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics or relevant field. Ideally, Masters in related field." Data Scientist Consultant,"Denver, CO","Simplex info systems Inc,","Job SummaryData Scientist as follows: Engage someone from the Boulder/Denver areaCould be part-time or full-timeOn a contract basis 6 month+Prefer experience with pyspark, python, quobleSome experience/knowledge of “personalization” / “recommendation” algorithms and clustering algorithms.Regards,**Anji Palakunta214-230-0487Simplex Info Systems Inc.,Job Type: Contract" Senior Data Analyst,"Los Angeles, CA 90014 (Downtown area)",sweetgreen,"About sweetgreen: sweetgreen is on a mission to build healthier communities by connecting people to real food. We passionately believe that real food should be convenient and accessible to everyone. Every day in each sweetgreen, our 4,000+ team members make food from scratch, using fresh ingredients and produce delivered that morning. And in our local communities, we're committed to leaving people better than we found them. We're in the business of feeding people, and we're out to change what that means. We are building our data services team to deliver thoughtfully designed, data-driven customer experiences and first-class internal operations. Data analysts at sweetgreen help drive decisions throughout the business. Examples include: Guiding future culinary decisions by measuring how our customers interact with our menus Determining optimal operational, digital, and marketing strategies by designing and running experiments Improving customer loyalty by creating and reporting on key customer engagement metrics Boosting data team efficiency by building new and optimizing existing ETL processes And plenty more (we have a big backlog)... Tools and techniques we expect strong candidates to be experienced with include: SQL (Redshift) Tableau Python A/B testing Clickstream analysis Customer segmentation Compensation Includes:Competitive pay + bonus plan granted based on performance Health, dental + vision insurance Flexible PTO, because we respect the need for work/life harmony A clear career path with opportunities for development, both personally and professionally Free sweetgreen swag Complimentary sweetgreen Come join the sweetlife! sweetgreen provides equal opportunities for everyone that works for us and everyone that applies to join our team, without regard to sex or gender, gender identity, gender expression, age, race, religious creed, color, national origin, ancestry, pregnancy, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, any service, past, present, or future, in the uniformed services of the United States (military or veteran status), or any other consideration protected by federal, state, or local law. sweetgreen participates in the federal government's E-Verify program to determine employment eligibility. To learn more about the E-Verify program, please click here ( https://www.uscis.gov/e-verify )." Data Scientist,"Atlanta, GA",adwait algoirthm,"Dear Professionals,I met with the hiring manager yesterday after an interview to get more clarification on what he needs. He said that the position requires approx.. 70% SQL, 20% Python, and 10% cloud experience, preferable GCP (Google cloud) other cloud experience are acceptable. Since this role is dealing with data manipulation I would say that this is very similar to a data scientist role. They don’t need to be tested on the cloud knowledge as long as it is on their resume. This manager wants to hire from me.Looking forward to hearing from you ASAP.Thanks!Job Type: ContractSalary: $44.00 to $57.00 /hourExperience:Data Scientist: 3 years (Required)SQL: 5 years (Required)Python: 1 year (Required)GCP or Cloud: 1 year (Preferred)Contract Length:More than 1 yearWork Location:One location" Data Scientist,"Albuquerque, NM 87102 (Downtown area)",RS21: A Data Science and Visualization Company,"About RS21RS21 is a leading data science and visualization company tackling humanity’s biggest challenges. We develop interactive, big data analytics and visualization products that connect people with the data they need to make better, faster, smarter decisions. With offices in Albuquerque, NM and Washington, D.C., RS21 works with the federal government, Fortune 500 companies, non-profits, healthcare organizations, and public and private organizations across the United States and internationally.Our Data Science team consists of a diverse group of clinical researchers, informaticians, statisticians, physicists, and engineers. In collaboration with a team of designers, developers, and project managers we strive to develop insightful analytics solutions for federal, state, and local clients across a variety of complex problem spaces.JOB DESCRIPTIONThis position requires analysis of large-scale clinical datasets in order to develop and implement techniques to provide analytics services and to support the development of healthcare analytics tools. This involves extracting and cleaning data from disparate clinical systems, integration and development of clinical data warehouses and data marts, as well as application of machine learning and statistical methods to test hypotheses related to clinical events and outcomes. This position requires the candidate to work collaboratively with a cross functional teams of software developers, designers, and clinicians provide healthcare analytics services and develop healthcare analytics products.JOB DUTIESWork with team of developers, data engineers, designers, project managers, and clinicians to formulate questions and scope requirements to derive insights from data and develop tools support patient carePerform ETL to clean and move data between source and target systemsUse exploratory techniques to assess the completeness and appropriateness of data for a given problemIntegrate and harmonize disparate sources of data to create novel datasets that can be used to develop new insights to clinical problemsDevelop predictive models and implement statistical approaches to inform clinical care and improve patient outcomesREQUIRED QUALIFICATIONSMasters or Ph.D in statistics, mathematics, computer science, engineering, economics, or related field is preferredGeneral understanding of the healthcare delivery system including value-based care, Medicare/Medicaid, and the clinical environment including general workflow, and how health information technology supports theseStrong experience in advanced data analytics which may include supervised/unsupervised machine learning techniques as well as inferential statistical methods for hypothesis testingDemonstrated experience in statistical programming language such as Python, R, Julia, SAS, SPSS, Stata, Matlab, etc.Experience in SQL and working with large relational databases (e.g. MySQL, PostgreSQL)PREFERRED QUALIFICATIONSFamiliar with healthcare standards such as SNOMED, ICD-9/10, LOINC, RxNormFamiliar with healthcare groupers such as HCPC, DRG, and CPT codesFamiliar with healthcare quality metrics such as HEDIS, and CMS eCQMFamiliar with common data models used for large scale observational research (OMOP,Familiar with healthcare data interchange standards such as HL7, FHIR, and SMART and related information models (e.g. HL7 RIM)Familiar with secondary use of clinical data to inform large scale observational studiesExperience developing predictive models using machine learningExperience with clustering and other EDA techniquesExperience implementing statistical methods and hypothesis testingFamiliar with observational study designs such as cross-sectional, cohort, and case control study designExperience working in cloud-based environments such as AWS or GCPADDITIONAL SKILLSWe’re always looking for the next trick up our sleeve. Any secret talents or experience with these additional skills?You have a demonstrated passion for thinking about data, problems, and solutions differently A love of brainstorming and whiteboard sessions with diverse team members Experience operating in a fast-paced agile approach to development A history of researching different problem spaces You thrive on the intellectual challenge of creating and coding new analytical methodsPay and exact title commensurate with education, experience, and skill. Relocation to Albuquerque is preferred if you are not currently a resident. Must be a U.S. Citizen to apply.RS21 is a dynamic, rapidly growing company doing great things, and we're looking for the right people to help move us forward. Our nine core values empower a culture of integrity, learning, taking risks, making a difference, constantly improving, and helping our team achieve a healthy work-life balance with flexible schedules and remote work options. As a testament to our exceptional culture, employees voted us a “Best Place to Work”. If you're a fit for our team, please fill out the online application on the Careers section of the RS21 website – www.rs21.io.Job Type: Full-timeWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceOther" Data Scientist,"Austin, TX",Favor,"Favor’s mission is ‘Anything Delivered’. Our Engineering team makes high-touch logistics happen. The Favor technology platform is the engine behind the business enabling millions of Favors. Our technology efficiently manages the real-time assignment of Runners to Favors, facilitates communication between customers, Runners, and support, keeps thousands of customer and Runner mobile applications in sync, and more. We are looking for a Data Scientist to join our growing Data Science team. This person will design and implement models that have a tangible effect on our products and business. They will work on the full lifecycle of machine learning projects from problem definition to feature exploration to ensuring the models they develop work properly in production. Responsibilities: Evaluate data assets and explore derivative features for use in models Iterate on multiple approaches to determine the best way to solve data science problems Develop a robust framework for thoroughly testing models and understanding model accuracy Design and implement models using the best available technology Work with machine learning engineers to serve predictions from models in production environments Scope and estimate level of effort for data science problems Identify potential milestones for data science projects such as feature exploration, minimum viable model and deployment Requirements: Masters or PhD degree in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent. 5+ years of combined experience in machine learning, statistics, data modeling, programming, or applied research in related fields Excellent understanding of machine learning techniques and algorithms such as K-NN, SVM, Decision Trees and ARIMA models Experience with common data science tools such as Pandas, Keras, Tensorflow, etc Ideal Candidates: Work with Amazon Web Services and SageMaker Experience with time series forecasting models Experience with scripting and programming languages At Favor, we believe that to Run Texas, we need to represent Texas. By putting Community First, we honor the diversity of our backgrounds and experiences through sharing our unique voices. Our community grows when we challenge ourselves to learn and see the world from another’s view. We are committed to growing a team with different backgrounds, experiences, abilities, and perspectives and are an equal opportunity employer." Data Scientist,"Chicago, IL",Capax Global LLC,"Do you want to work at the forefront of artificial intelligence and machine learning? CapaxGlobal has a significant data analytics and management presence across many industries. With that footprint comes massive amounts of data that can inform us about markets and ways to improve our client business practices. This position will be part of the Data Science and Machine Learning team and will bring strong quantitative skills to our data science capabilities. You work in a multidisciplinary team exploring, connecting and mining internal data sources and will develop data models using algorithms for pattern detection and forecasting. In this position you will be managing projects that use advanced analytics techniques, such as optimization, forecasting, machine learning, predictive analytics, and statistical analysis, to develop solutions that help deliver significant value to a variety of Capax’s partners and clients. Candidates will be exposed to a wide spectrum of high visibility projects ranging from sales effectiveness, competitive intelligence, fraud detection, time series forecasting, operational efficiency, sourcing and procurement, supply-chain optimization and financial analysis. Location: Chicago IL | Philadelphia PA | Remote Travel: Up to 30% Responsibilities Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects. Develop visualization products to share analysis across a large group of business users. Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources. Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions. Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies. Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope. Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables. Qualifications Bachelor’s degree from an accredited college/university in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research or related fields. Master’s degree in data science, applied mathematics, or bioinformatics preferred. Minimum 6 years relevant work experience (if Bachelor’s degree) or minimum 3 years relevant work experience (if Master’s degree) with a proven track record in driving value in a commercial setting using data science skills. In-depth knowledge of various modeling algorithms e.g. Linear, GLMs, trees based models, neural networks, clustering, PCA, and time series models. Proficiency in R (e.g. ggplot2, cluster, dplyr, caret), Python (e.g. pandas, scikit-learn, bokeh, nltk), Spark – MLlib, H20, or other statistical tools. Minimum 2 years experience working in a data science or machine learning environment. In-depth knowledge of databases, data modeling, Hadoop, and distributed computing frameworks. Experience in software development environment, Agile, and code management/versioning (e.g. git). Strong EDA skills and experience/knowledge. Ability to understand complex and ambiguous business needs and applying the right tools and approaches. Collaborative team player. Excellent communication skills, both written and verbal. Experience developing and testing machine learning and/or statistical projects. Strong presentation skills. Ability to present statistical results to lay persons in an easy to understand way. We are looking for all levels of data science experience, jr through sr." GIS Data Scientist,United States,"Motive International, LLC","This opening is for an advisory position evaluating and providing assessments to a U.S. Government customer on a contract basis. This work will primarily be performed at CONUS U.S. Government facilities for an average duration of 1 to 2 weeks at a time depending on customer requirements. Qualified candidates must have a current TS clearance with SCI eligibility with relational database, Geospacial Information Systems (GIS) capabilities (ex Google Earth) and data visualization experience. If interested, please upload a CV which highlights experience or knowledge pertaining to the following: Counternarcotics operations Office of National Drug Control Policy (ONDCP) Consolidated Counterdrug Data Base (CCDB) DHS and/or USCG Interdiction operations Information sharing across the USG Inter Agencies Transnational Criminal Organizations" Data Scientist,"Herndon, VA",Numero Data LLC,"Job Description: Required Skills: Ideal candidate should have a degree in a quantitative field (e.g., mathematics, computer science, physics, economics, engineering, statistics, operations research, quantitative social science, etc.).Basic Knowledge on software development principles and architecture.Good analytical and problem-solving abilities.Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods.Familiarity with programming for data analysis; ideally Python, SQL, or R.Solid oral and written communication skills, especially around analytical concepts and methods.Great work ethic and intellectual curiosity.Knowledge of Cloud technologies such as AWS or Google Cloud.Knowledge of any relational database such as My SQL.Must be a team player with excellent communication and problem-solving skills and have experience working with customers across teams.Job Type: Full-timeSalary: $70,000.00 /yearExperience:Machine Learning: 1 year (Preferred)SQL: 1 year (Preferred)Python: 1 year (Preferred)Education:Bachelor's (Preferred)" Data Scientist,"Mountain View, CA",eShocan LLC,"QualificationsAdvanced degree in Electrical Engineering, Computer Engineering or related field.Strong understanding of sensor fusion and the cooperative and automated driving challenges to augment onboard information.Knowledge of machine learning and neural networks, as they are applied to the cooperative and autonomous driving problem, and communications network technologies is a plus.Research prototype development skills for hand on Proof-of-Concept (PoC) developmentKnowledge of connected vehicles and/or autonomous vehicles and its use-cases.Programming experience, e.g., Python, MATLAB, etc.Well-developed interpersonal and communication skills, including ability to respond professionally in all types of situations.Corporate lab setting with a proven track record of cross-functional collaboration and achievements experience is a plus.Added bonus / Nice to haves:Knowledge of connected vehicles and/or autonomous vehicles and its use-casesCorporate lab setting with a proven track record of cross-functional collaboration and achievements experienceJob Type: Full-timeExperience:MATLAB: 1 year (Required)Machine Learning: 1 year (Required)Python: 1 year (Required)Cooperative Automotive Driving (C-AD) research: 1 year (Preferred)Benefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time off" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" SSD Data Scientist,"San Diego, CA",Kaiser Permanente,"Provides technical direction, including both strategic and tactical planning, execution and support of strategies for the SCPMG Medical informatics group. The position entails developing machine learning approaches to address healthcare's triple aim: to improve the health of populations, to lower the cost of care, and enhance the care experience. Essential Responsibilities: Design, develop, and evaluate state-of-the-art machine learning models for complex, large-scale data sets. Use statistical and machine learning techniques to provide clinical decision support as well as improve auditing and standards of care workflows. Deliver insights and values from heterogeneous data to investigate complex problems in the health care domain for multiple use cases. Use machine learning, statistical and programming skills to enable data analytics. Drive informed decision-making and present findings to both technical and non-technical audiences. Work closely with physicians to identify medically relevant use cases, develop machine learning models, and validate impact Provide technical direction and mentor junior members of the Medical Informatics team. Work closely with software engineers to facilitate model integration and deployment Embrace a fast paced, collaborative environment dedicated to building atop cutting-edge technology. Basic Qualifications: Experience Minimum five (5) years of experience in architecting and building scalable distributed systems, working in a fast-paced multidisciplinary environment, advocating innovative uses for data, including methodologies, techniques, and tools, working with Software Development Life Cycle (SDLC) and leading from conceptualization to production stage large-scale applications. Education Master's degree (MS) in computer science or related fields License, Certification, Registration N/A Additional Requirements: Experience with deep learning frameworks: e.g. Tensorflow, PyTorch. Knowledge of classification and regression algorithms Experience with Deep Learning approaches to Natural Language Understanding (NLU) and Language Modeling. Experience with time series analysis, discrete data modeling and feature engineering. Expert knowledge of Python Experience with SQL Preferred Qualifications: Experience with Java/C++ Experience with machine learning continuous integration and deployment Experience with Tensorflow ServingDoctorate degree in computer science or related fields Knowledge of healthcare terminology PrimaryLocation : California,San Diego,El Camino Real Administration HoursPerWeek : 40 Shift : Day Workdays : Mon, Tue, Wed, Thu, Fri WorkingHoursStart : 8:00 AM WorkingHoursEnd : 5:00 PM Job Schedule : Full-time Job Type : Standard Employee Status : Temporary Employee Group/Union Affiliation : Salaried, Non-Union, Exempt Job Level : Individual Contributor Job Category : Information Technology Department : Systems Solutions & Deployment Travel : No Kaiser Permanente is an equal opportunity employer committed to a diverse and inclusive workforce. Applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, sexual orientation, national origin, marital status, parental status, ancestry, disability, gender identity, veteran status, genetic information, other distinguishing characteristics of diversity and inclusion, or any other protected status. External hires must pass a background check/drug screen. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with federal and state laws, as well as applicable local ordinances, including but not limited to the San Francisco and Los Angeles Fair Chance Ordinances." Data Scientist/Data Analytics,"Jersey, GA","RICEFW Technologies, inc","Title: Data Scientist/Data AnalyticsLocation: New JerseyDuration: 6+ Months ContractJob Description: Experience as a Data Scientist or data analytics experience in industryUndertaking data collection, preprocessing and analysis.Building models to address business problems.Presenting information using data visualization techniques.Strong critical thinking, problem solving skills and ability to work through complex problemsExperience in writing and executing SQL queries.Experience with statistical and optimization modeling using Python or RStrong communications skills and ability to communicate technical content in an easy way to understandJob Types: Full-time, ContractSalary: $50.00 to $60.00 /hour" Data Scientist,"Austin, TX",Favor,"Favor’s mission is ‘Anything Delivered’. Our Engineering team makes high-touch logistics happen. The Favor technology platform is the engine behind the business enabling millions of Favors. Our technology efficiently manages the real-time assignment of Runners to Favors, facilitates communication between customers, Runners, and support, keeps thousands of customer and Runner mobile applications in sync, and more. We are looking for a Data Scientist to join our growing Data Science team. This person will design and implement models that have a tangible effect on our products and business. They will work on the full lifecycle of machine learning projects from problem definition to feature exploration to ensuring the models they develop work properly in production. Responsibilities: Evaluate data assets and explore derivative features for use in models Iterate on multiple approaches to determine the best way to solve data science problems Develop a robust framework for thoroughly testing models and understanding model accuracy Design and implement models using the best available technology Work with machine learning engineers to serve predictions from models in production environments Scope and estimate level of effort for data science problems Identify potential milestones for data science projects such as feature exploration, minimum viable model and deployment Requirements: Masters or PhD degree in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent. 5+ years of combined experience in machine learning, statistics, data modeling, programming, or applied research in related fields Excellent understanding of machine learning techniques and algorithms such as K-NN, SVM, Decision Trees and ARIMA models Experience with common data science tools such as Pandas, Keras, Tensorflow, etc Ideal Candidates: Work with Amazon Web Services and SageMaker Experience with time series forecasting models Experience with scripting and programming languages At Favor, we believe that to Run Texas, we need to represent Texas. By putting Community First, we honor the diversity of our backgrounds and experiences through sharing our unique voices. Our community grows when we challenge ourselves to learn and see the world from another’s view. We are committed to growing a team with different backgrounds, experiences, abilities, and perspectives and are an equal opportunity employer." Data Scientist,"New York, NY 10004 (Financial District area)",NYC Department of Consumer Affairs,"City of New York DEPARTMENT OF CONSUMER AFFAIRS Job Vacancy Notice Civil Service Title: City Research Scientist Level: IITitle Code No: 21744 Salary: $75,504.00 / $86,830.00** minimum with two years of continuous city serviceOffice Title: Data Scientist Work location: 42 Broadway, New York, NYDivision/Work Unit: Office of Labor Policy and Standards Number of Positions: 1Job ID: 430813 Hours/Shift: 9:00 AM to 5:00 PMJob Description The NYC Department of Consumer Affairs (DCA) protects and enhances the daily economic lives of New Yorkers to create thriving communities. DCA licenses more than 81,000 businesses in more than 50 industries and enforces key consumer protection, licensing, and workplace laws that apply to countless more. By supporting businesses through equitable enforcement and access to resources and, by helping to resolve complaints, DCA protects the marketplace from predatory practices and strives to create a culture of compliance. Through its community outreach and the work of its offices of FinancialEmpowerment and Labor Policy & Standards, DCA empowers consumers and working families by providing the tools and resources they need to be educated consumers and to achieve financial health and work-life balance. DCA also conducts research and advocates for public policy that furthers its work to support New York City’s communities. For more information about DCA and its work, call 311 or visit DCA at nyc.gov/dca or on its social media sites, Twitter, Facebook, Instagram andYouTube.The Office of Labor Policy and Standards (“OLPS”) is responsible for enforcing the city’s municipal labor laws such as theEarned Safe and Sick Time Act, Fair Workweek Laws, Commuter Benefits Law, and the Freelance Isn’t Free Act. OLPS also works closely with stakeholders on outreach and public education efforts to reach vulnerable workers and conducts research and data analysis to support enforcement and make policy recommendations. The Office’s Division of Paid Care assists workers submit complaints regarding federal, state, and local labor and employment law violations and helps the Office coordinate with other government agencies, worker advocacy groups, as well as community, labor, and employment organizations.OLPS is seeking a Data Scientist to play a key role in the enforcement of groundbreaking new legal protections for workers, especially the Fair Workweek Laws, which prohibit abusive scheduling practices, and the Earned Safe and Sick Time Act, which guarantees the right to paid sick leave. Reporting to the OLPS Research Director, the Data Scientist will work closely with the Office’s investigation and litigation teams to develop and implement strategies for the discovery, collection, and analysis of employer data relating to compliance with city workplace laws. Working on the Office’s most complex cases, theData Scientist will help collect and use this data to identify violations of NYC workplace laws, assess the validity of claims by employers and workers, calculate employee relief and civil penalties, and guide investigators in the collection of testimonial evidence and other documentation. The Data Scientist will also create systems to automate and standardize data collection and analysis, which may include communicating with employers and workforce management software providers about data structures, developing tools for OLPS staff to use in analyzing employer data, and recommending changes to laws, rules, and agency guidance. The Data Scientist will work closely with the Directors of Investigation and Litigation to refine and implement investigative methods and play a critical role in ensuring working New Yorkers can enjoy the protections they are entitled to under the law.Responsibilities include:Working with investigators and attorneys on enforcement actions requesting data relevant to employers’ compliance with NYC workplace laws;Communicating with employers’ counsel and technical staff to ensure delivery of responsive data, along with all information necessary for its interpretation;Using appropriate data analysis tools to describe employer practices, identify key witnesses, and calculate damages;Developing data analysis tools for use by investigators and attorneys, training investigators and attorneys in their use, and supervising their application;Assessing all aspects of how OLPS uses data in its investigations and litigation and recommending and implementing improvements;Developing close familiarity with the design and use of common business process applications used by employers to track employee schedules, time worked, and payroll; andRecommending changes to laws, rules, and agency guidance to the extent they may relate to any of the functions described above.Assisting with other aspects of the OLPS research team’s work, including analyses of labor market data or the Office’s internal administrative data.Minimum Qualification Requirements 1. 1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or3. Education and/or experience which is equivalent to ""1"" or ""2"" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in ""2"" above.Two years as a City Research Scientist Level I can be substituted for the experience required in ""1"" and ""2"" above.PLEASE NOTE: New York City residency is required within 90 days of appointment. However, City employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview. Preferred Skills Background in data analysis, including experience with statistical packages (e.g., Python, R, Stata) and relational databases (e.g., advanced SQL queries);Familiarity with common business process applications and their associated data structures;Ability to communicate technical concepts and results to non-technical audiences;High level of organization, including ability to ensure findings are reproducible and analytical choices are transparent and well-supported;Experience in handling multiple assignments with competing deadlines with a high degree of detail and accuracy;Strong verbal and written communication skills;Ability to occasionally work flexible hours, including nights and weekends; andMultilingual a plus.To Apply For Non-City/External Candidates: Visit the External Applicant NYC Careers site and type “Consumer Affairs” on the search line. Then locate the Job ID number . For Current City Employees: Visit Employee Self Service (ESS) to view and click on Recruiting Activities, Careers, and search by Job ID number.A RESUME AND COVER LETTER ARE REQUIRED .PLEASE INDICATE IN YOUR COVER LETTER HOW YOU HEARD ABOUT THIS POSITION. _INCOMPLETE APPLICATIONS WILL NOT BE CONSIDERED. __ NO PHONE CALLS, FAXES, E-MAILS OR PERSONAL INQUIRIES PERMITTED. __NOTE: ONLY THOSE CANDIDATES UNDER CONSIDERATION WILL BE CONTACTED. __ _*Appointments are subject to Office of Management and Budget (OMB) approval. * 55-a Candidates: NYC Department of Consumer Affairs is committed to recruiting and retaining a diverse and culturally responsive workforce. We strongly encourage 55-A candidates to apply to our positions in order to be given the opportunity.** LOAN FORGIVENESS: The federal government provides student loan forgiveness through its Public Service LoanForgiveness Program (PSLF) to all qualifying public service employees. Working with DCA qualifies you as a public service employee and you may be able to take advantage of this program while working full-time and meeting the program’s other requirements. Please visit the Public Service Loan Forgiveness Program site to view the eligibility requirements: https://studentaid.ed.gov/sa/repay-loans/forgiveness-cancellation/public-servicePost Date: 01/28/2020 Post Until: 03/28/2020 JVN: 430813DCA and the City of New York is an equal employment opportunity employer.Job Type: Full-timeSalary: $75,504.00 to $86,860.00 /yearWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceSchedule:Monday to Friday" Data Scientist,"Mountain View, CA",eShocan LLC,"QualificationsAdvanced degree in Electrical Engineering, Computer Engineering or related field.Strong understanding of sensor fusion and the cooperative and automated driving challenges to augment onboard information.Knowledge of machine learning and neural networks, as they are applied to the cooperative and autonomous driving problem, and communications network technologies is a plus.Research prototype development skills for hand on Proof-of-Concept (PoC) developmentKnowledge of connected vehicles and/or autonomous vehicles and its use-cases.Programming experience, e.g., Python, MATLAB, etc.Well-developed interpersonal and communication skills, including ability to respond professionally in all types of situations.Corporate lab setting with a proven track record of cross-functional collaboration and achievements experience is a plus.Added bonus / Nice to haves:Knowledge of connected vehicles and/or autonomous vehicles and its use-casesCorporate lab setting with a proven track record of cross-functional collaboration and achievements experienceJob Type: Full-timeExperience:MATLAB: 1 year (Required)Machine Learning: 1 year (Required)Python: 1 year (Required)Cooperative Automotive Driving (C-AD) research: 1 year (Preferred)Benefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time off" Business Data Analyst/Data Scientist,"Washington, DC",Oculus Analytics,"We have an exciting opportunity for one of our very high profile tech company clients for their Washington DC office. This is 100% private sector work, no clearance is required. This position is heavily focused on metrics, data analysis and managing data streams.RequirementsIntellectual curiosity is vital—the ability to think creatively about how to solve new problems is vital.Strong background in business analytics (SQL fluency is essential, the incumbent in this role will be designing, implementing and maintaining metrics).Experience measuring internal inputs to understand efficiencies and effectiveness.Data science background is ideal; experience combining disparate data sets and extracting conclusions will be key in this position.Experience asking questions of data; what would you measure and how? Are we measuring the “right” thing? Does data quality support our overall strategy?Mathematical conceptual ability is vital—experience with statistical analysis, for instance.Experience with data visualization tools; the successful incumbent in this role will need to tell stories with data. The client uses Tableau as well as several internal tools.Experience with basic accounting procedures; this position will involve minding budgets, estimating spend rate, and keeping an eye on budget execution.Nice to have:Experience scripting in Python—experience using Jupyter to munge, triage and manipulate large data sets.Law enforcement or intel community background—some experience with investigations, or Intelligence Community, methods, approaches, and mindsets would be valuable but is not a requirement.Software development/engineering experience is welcomed but not necessary. This position focus on metrics, data analysis and managing data streams.Job Type: ContractSalary: $127,000.00 to $167,000.00 /yearExperience:basic accounting procedures: 2 years (Preferred)Jupyter: 3 years (Preferred)Statistical Analysis: 3 years (Required)data scientist: 3 years (Preferred)SQL: 3 years (Required)Python: 3 years (Required)full agile sdlc methodology: 2 years (Preferred)Business Analytics: 3 years (Required)Tableau: 2 years (Preferred)Contract Length:1 yearContract Renewal:LikelyWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offSchedule:Monday to FridayBenefit Conditions:Waiting period may applyOnly full-time employees eligible" Data Scientist / Machine Learning Engineer,"Philadelphia, PA",Cloudbigdata Technologies,"Company Description Our company is a leading IT services, consulting and outsourcing company delivering exceptional business solutions and customer value to its customers worldwide. We offers end-to-end innovative and leading edge solutions to help corporations leverage technologies, outperform their competition and acquire sustainable growth. We have proven capabilities in new and emerging technologies and extensive experience across a broad range of industries and domains which enable us to deliver world-class, secure, scalable and reliable business systems. We have achieved many distinctions and milestones of outstanding success during the course of its evolutionary journey. Job Description Data Scientist / Machine Learning Engineer Seeking a Azure Big Data Machine Learning Engineer where you will help leverage data to make informed decisions. You will be knowledgeable of cloud based architectures and Azure technologies. You will be passionate about Machine Learning, Deep Learning, and be an expert with Azure ML with knowledge of AutoML, MLOps, and data science on ML platform. Well versed with Data Science, Machine learning and Deep Learning based solutions and frameworks. Apply technical knowledge to architect solutions that meet business and IT needs, create enterprise development roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies where appropriate (e.g. Azure Machine Learning, Machine Learning Server, BOT framework, Cognitive Services, Azure Databricks, etc.) Ability to Interpret the logical side of the data, demonstrate leadership in advanced Analytics, support leading project tasks, experience with ETL tools, Python coding required-At least 2 years preferred, Hands-on with Spark, SQL highly preferred. Qualifications null Additional Information All your information will be kept confidential according to EEO guidelines." Data Scientist,"Charlotte, NC",Intone Networks Inc,"Job Title :: Data Scientist Location :: Charlotte, NCDuration :: 6+Months Job Description :: Looking for candidate having 8+years of experience. The primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. This role builds user interfaces from the direction of senior colleagues, and builds solutions using market research. Areas of focus are: predictive modeling; personalization and recommendation algorithms; natural language processing and text mining; search recall, precision, ranking, and related problems; optimization and mathematical programming with applications in labor scheduling, inventory and capacity planning, network flows, and supply chain optimization." Senior Data Analyst,"Los Angeles, CA",sweetgreen - sgTech,"About sweetgreen: sweetgreen is on a mission to build healthier communities by connecting people to real food. We passionately believe that real food should be convenient and accessible to everyone. Every day in each sweetgreen, our 4,000+ team members make food from scratch, using fresh ingredients and produce delivered that morning. And in our local communities, we're committed to leaving people better than we found them. We're in the business of feeding people, and we're out to change what that means. We are building our data services team to deliver thoughtfully designed, data-driven customer experiences and first-class internal operations. Data analysts at sweetgreen help drive decisions throughout the business. Examples include: Guiding future culinary decisions by measuring how our customers interact with our menus Determining optimal operational, digital, and marketing strategies by designing and running experiments Improving customer loyalty by creating and reporting on key customer engagement metrics Boosting data team efficiency by building new and optimizing existing ETL processes And plenty more (we have a big backlog)... Tools and techniques we expect strong candidates to be experienced with include: SQL (Redshift) Tableau Python A/B testing Clickstream analysis Customer segmentation Compensation Includes:Competitive pay + bonus plan granted based on performance Health, dental + vision insurance Flexible PTO, because we respect the need for work/life harmony A clear career path with opportunities for development, both personally and professionally Free sweetgreen swag Complimentary sweetgreen Come join the sweetlife! sweetgreen provides equal opportunities for everyone that works for us and everyone that applies to join our team, without regard to sex or gender, gender identity, gender expression, age, race, religious creed, color, national origin, ancestry, pregnancy, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, any service, past, present, or future, in the uniformed services of the United States (military or veteran status), or any other consideration protected by federal, state, or local law. sweetgreen participates in the federal government's E-Verify program to determine employment eligibility. To learn more about the E-Verify program, please click here ( https://www.uscis.gov/e-verify )." Data Scientist Intern,"Schaumburg, IL 60195",Quaxigma,"We are strategically building and growing our data science team to support QuaXigma's growth as a startup company. We offer internship position for entry-level candidates. Return offer for full-time role is a possibility. Please indicate your start date and work authorization when apply. OPT candidates are welcome to apply too. Note that we only consider post-graduation candidates.QuaXigma is a data analytics startup company based in greater Chicago area. Our mission is to deliver value to businesses by increasing data maturity as a business asset and pioneering innovation by implementing analytical platforms to transform business operations and drive organic business growth.The Data Scientist Intern is responsible for applying advanced analytics including both descriptive and predictive analytics to support number of business use cases such as to improve customer payment collection, workforce management, operation efficiency, grow global accounts, pricing, and customer acquisitions. This role will need to understand business requirements, conduct quick research, and generate fast prototyping by working closely with the client.Key ResponsibilitiesDesign and build models/algorithms to drive predictive & prescriptive analytics to accelerate business decisions and drive real-time analytical insightsResearch and brainstorm with internal stakeholders to identify advanced analytics opportunities to advance automation, help with knowledge discovery, support decision-making, gain insights from data, streamline business processes, and enable new capabilitiesImplement advanced analytics solutions to produce value corporate’s unstructured and structured data assets utilizing methodologies from machine learning, deep learning, artificial intelligence, and natural language processingDevelop end-to-end efficient model solutions that drive measurable outcomes. Manage the model development lifecycle, including both working with IT partners to identify what data are needed, and training the business end-users on how to leverage the modeling outputPrepare documentation, reports, and presentations that explain advanced analytics concepts, technology, and inner workings of solutions to broader teams including non-technical audiencesJob Qualifications1 year experience in solving complex business problems using data science, statistical techniques & machine learning to build predictive & prescriptive solutionsMS required or PhD preferred in a quantitative field such statistics, econometrics, operations research, computer science, applied mathematicsExperience in managing and manipulating large, complex datasetsExperience in executing on complex projects, extracting, cleansing, and manipulating large, diverse structured and unstructured data sets on relational – SQL, NOSQL databasesWorking knowledge of machine learning/artificial intelligence. These technical skills include, but not limited to, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory, stochastic systems, Bayesian inference, statistical techniques, deep learning, supervised learning, unsupervised learning2+ years of hands-on experience with programming languages such as R, Python and common machine learning packages such as dplyr, gbm, glmnet, randomForest, caret, H2o, Numpy, Pandas, scikit-learn, keras, tensorflow, etc.Good communication and presentation skills, with the ability to tailor the communication style to the right audienceAble to work in an agile environment with iterative development & business feedbackExperience providing insights to support strategic decisions, including preparing and delivering insights and recommendationsJob Type: InternshipSalary: $20.00 /hourEducation:Master's (Required)Application Question:Have you completed your degree?Work Location:One locationInternship Compensation:PayThis Job Is Ideal for Someone Who Is:Detail-oriented -- would rather focus on the details of work than the bigger pictureAchievement-oriented -- enjoys taking on challenges, even if they might failSchedule:Monday to Friday" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Data Scientist,"Albuquerque, NM 87102 (Downtown area)",RS21: A Data Science and Visualization Company,"About RS21RS21 is a leading data science and visualization company tackling humanity’s biggest challenges. We develop interactive, big data analytics and visualization products that connect people with the data they need to make better, faster, smarter decisions. With offices in Albuquerque, NM and Washington, D.C., RS21 works with the federal government, Fortune 500 companies, non-profits, healthcare organizations, and public and private organizations across the United States and internationally.Our Data Science team consists of a diverse group of clinical researchers, informaticians, statisticians, physicists, and engineers. In collaboration with a team of designers, developers, and project managers we strive to develop insightful analytics solutions for federal, state, and local clients across a variety of complex problem spaces.JOB DESCRIPTIONThis position requires analysis of large-scale clinical datasets in order to develop and implement techniques to provide analytics services and to support the development of healthcare analytics tools. This involves extracting and cleaning data from disparate clinical systems, integration and development of clinical data warehouses and data marts, as well as application of machine learning and statistical methods to test hypotheses related to clinical events and outcomes. This position requires the candidate to work collaboratively with a cross functional teams of software developers, designers, and clinicians provide healthcare analytics services and develop healthcare analytics products.JOB DUTIESWork with team of developers, data engineers, designers, project managers, and clinicians to formulate questions and scope requirements to derive insights from data and develop tools support patient carePerform ETL to clean and move data between source and target systemsUse exploratory techniques to assess the completeness and appropriateness of data for a given problemIntegrate and harmonize disparate sources of data to create novel datasets that can be used to develop new insights to clinical problemsDevelop predictive models and implement statistical approaches to inform clinical care and improve patient outcomesREQUIRED QUALIFICATIONSMasters or Ph.D in statistics, mathematics, computer science, engineering, economics, or related field is preferredGeneral understanding of the healthcare delivery system including value-based care, Medicare/Medicaid, and the clinical environment including general workflow, and how health information technology supports theseStrong experience in advanced data analytics which may include supervised/unsupervised machine learning techniques as well as inferential statistical methods for hypothesis testingDemonstrated experience in statistical programming language such as Python, R, Julia, SAS, SPSS, Stata, Matlab, etc.Experience in SQL and working with large relational databases (e.g. MySQL, PostgreSQL)PREFERRED QUALIFICATIONSFamiliar with healthcare standards such as SNOMED, ICD-9/10, LOINC, RxNormFamiliar with healthcare groupers such as HCPC, DRG, and CPT codesFamiliar with healthcare quality metrics such as HEDIS, and CMS eCQMFamiliar with common data models used for large scale observational research (OMOP,Familiar with healthcare data interchange standards such as HL7, FHIR, and SMART and related information models (e.g. HL7 RIM)Familiar with secondary use of clinical data to inform large scale observational studiesExperience developing predictive models using machine learningExperience with clustering and other EDA techniquesExperience implementing statistical methods and hypothesis testingFamiliar with observational study designs such as cross-sectional, cohort, and case control study designExperience working in cloud-based environments such as AWS or GCPADDITIONAL SKILLSWe’re always looking for the next trick up our sleeve. Any secret talents or experience with these additional skills?You have a demonstrated passion for thinking about data, problems, and solutions differently A love of brainstorming and whiteboard sessions with diverse team members Experience operating in a fast-paced agile approach to development A history of researching different problem spaces You thrive on the intellectual challenge of creating and coding new analytical methodsPay and exact title commensurate with education, experience, and skill. Relocation to Albuquerque is preferred if you are not currently a resident. Must be a U.S. Citizen to apply.RS21 is a dynamic, rapidly growing company doing great things, and we're looking for the right people to help move us forward. Our nine core values empower a culture of integrity, learning, taking risks, making a difference, constantly improving, and helping our team achieve a healthy work-life balance with flexible schedules and remote work options. As a testament to our exceptional culture, employees voted us a “Best Place to Work”. If you're a fit for our team, please fill out the online application on the Careers section of the RS21 website – www.rs21.io.Job Type: Full-timeWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceOther" Health Data Scientist - Biomedical,"Santa Barbara, CA 93101 (Lower State area)",Evidation,"Evidation Health is a new kind of health and measurement company that provides the technology and guidance to understand how everyday behavior and health interact. The volumes of behavior data generated from wearables and smartphones has opened up new ways to analyze individuals' behavior and health in real time. With a virtual pool of 3 million research participants, Evidation Health undertakes research for innovative biopharma and health care companies to transform how diseases are identified, treated, and monitored. We're looking for outstanding data scientists who want to harness vast amounts of multi-variate time series data from connected wearables, sensors, and other mobile data to infer changes in health status and disease progression over time. We value problem-solving skills and an attitude towards learning: Our work lies at the intersection of many diverse fields including machine learning, signal processing, and epidemiology. We seek great communication and accountability, people who think people first. If you thrive on autonomy and open-ended challenges, this is the perfect opportunity to take your career to the next level. RESPONSIBILITIES ---------------- Analyze continuous signals from biomedical devices to extract features predictive of health outcomes Understand impact of missing data and imputation techniques. Communicate with a team of data scientists drawing from a very diverse set of expertise. QUALIFICATIONS -------------- Minimum Qualifications:Masters or PhD in biomedical engineering, electrical engineering, or related fields. 2-3 years experience in health data science or related field(s) High level of motivation and willingness to learn new tools and ideas. Health Data Science is a nascent field where methods and concepts are quickly evolving Proficiency in Python, or Matlab Understanding of signal processing, including Fourier analysis and wavelet transforms. Preferred Qualifications:Knowledge of deep learning frameworks: Keras and TensorFlow Understanding of statistics: significance tests, source of biases, mixed effect models, experiment design. Knowledge of R Experience working with IMU (Inertial measurement unit) data BENEFITS -------- Health, dental, and vision benefits for you and competitive coverage for your family Relocation support Equity Flexible work hours Open vacation policy - take time when you need it Support for remote work when needed Relaxed work environment Your choice of computing equipment and gear Lots of opportunities for growth Opportunity to work on fascinating challenges that improve people's lives EVIDATION HEALTH VALUES DIVERSITY AND IS COMMITTED TO EQUAL OPPORTUNITY FOR ALL PERSONS WITHOUT REGARD TO RACE, COLOR, CREED, RELIGION, MARITAL STATUS, AGE, NATIONAL ORIGIN OR ANCESTRY, POLITICAL ACTIVITY OR AFFILIATION, PHYSICAL OR MENTAL DISABILITY, MEDICAL CONDITION INCLUDING GENETIC CHARACTERISTICS, MARITAL STATUS, SEXUAL ORIENTATION, GENDER IDENTITY, SEX OR GENDER. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------" Data Scientist,"State College, PA 16801",KCF Technologies Inc,"Why KCF Technologies? Do you enjoy learning and growing within an innovative organization that encourages collaboration and team building across all levels of the organization? Do you embody our core values of Smarts, Grit and Drive, and value work/life balance, autonomy, health, and a sense of purpose? If so, consider joining our team. KCF Technologies is on a quest to Optimize American Manufacturing. SmartDiagnostics®, our Industrial Internet of Things technology, helps our customers eliminate downtime, improve safety, and elevate manufacturing jobs all over the United States. Learn more at www.kcftech.com. Where You Come In KCF Technologies is currently seeking a smart and driven Data Scientist to join the Data Analytics team. You are enthusiastic and passionate about solving complex health monitoring systems using statistical analysis and/or machine learning techniques. Your ideal environment is one in which you collaborate with others to design and deploy solutions to complex, real-world engineering problems You consider yourself to be:Self-motivated Passionate for solving real-world problems Hard-working Adaptable Essential Functions As a data scientist at KCF Technologies, you will be leading KCF into the next generation of automated data analytics through statistical analysis and machine learning. You will collaborate with computational physicists, statisticians, and mechanical engineers to build sophisticated algorithms and techniques for machine health diagnostics, prognostics, and automated control. KCF needs great talent that not only has the skill to fit the needs at hand but also exemplifies our cultural values of Smarts, Grit, and Drive. The ideal person to fill this role will be able understand the big picture, contribute ideas to help improve the process, and execute on all the nitty gritty details needed to get the work done. Design and develop applications and solutions tailored to machine health diagnostics, prognostics, and automation Collaborate with data and subject matter experts from KCF and its customer teams to seek, understand, validate, interpret, and automate health diagnostics and prognostics Qualifications Bachelor’s degree (Master’s preferred) in Statistics, Mathematics, Computer Science, or equivalent fields Strong mathematical background (linear algebra, calculus, probability and statistics) Applied machine learning experience (regression and classification, supervised, and unsupervised learning) For the purposes of determining compliance with U.S. export control regulations, all applicants will be required to answer yes or no to the following question: Are you a U.S. Citizen, a lawful permanent resident of the U.S. (i.e., a green card holder), an asylee, or a refugee? Knowledge, Skills and Abilities Experience with computing languages such as R, Python, C/C++, Matlab, or similar programming languages Ability to analyze and interpret statistical data Ability to drive a project and work both independently and in a team Communicate verbally and in writing in a clear and professional manner Able to work in a rapid-paced environment, managing and tracking multiple tasks with speed and accuracy. Highly service-oriented disposition with aptitude in problem-solving Must exemplify the following KCF cultural values: Smarts, Grit, Drive Strong organizational, time management, and prioritization abilities Should be able to deal with difficult, sensitive, and confidential issues Mental and Physical Requirements Ability to communicate clearly both verbally and in writing Ability to prepare data and information of moderate complexity Primarily work in an office environment, but may need to travel to KCF work and customer sites for research, development, and testing Benefits We know it takes competitive benefits and development opportunities to fuel a team that exhibits our values of Smarts, Grit, and Drive. At KCF, we provide perks that are focused on bringing out the best in you: Industry leading medical insurance - 100% Company Paid for you and your family Company provided vision and dental plan Competitive compensation plus quarterly bonus opportunity 401(k) retirement plan with up to 4% KCF match 4-weeks paid vacation plus holidays Fitness reimbursement and generous travel stipends Opportunities for growth and professional development Perks Ability to work in one of the most exciting fields in technology Casual work environment and excellent location in the heart of State College, PA Ability to collaborate with coworkers who like showing up to work Opportunity to make a true impact on our company and products with high visibility Be a part of a growing company that will take your career and your passion to the next level At KCF, we are an equal opportunity employer. The only things we require for employment, compensation, advancement and benefits are performance and a good team attitude. No one will be denied opportunities or benefits, and no employment decisions will be made, on the basis of race, religion/creed, national origin, ancestry, sex, sexual orientation, gender, gender identity, age, disability that does not prohibit performance of essential job functions, protected veteran status, medical condition, marital status, pregnancy, genetic information, possession of a general education development certificate (“GED”) as compared to a high school diploma, or any other characteristic protected by applicable federal or state laws. KCF complies with applicable state and local laws governing nondiscrimination in employment in every location in which KCF has facilities." "Statistician, Assistant","Los Angeles, CA",UCLA,"The assistant statistician will provide support to the Center for Health Policy Research (Center) statistical team by performing programming, data management, and statistical analyses for national, state and local administrative and survey databases from different sources. The incumbent will program using SAS, SPSS, Stata, SUDAAN, R, as well as other statistical software, and construct variables, create tables, and graphs using Microsoft Office. Percentage of Time: 100 Shift Start: 8:00 am Shift End: 6:00 pm Qualifications for Position 8 Records Qualifications Required/Preferred Bachelors or higher degree in statistics. Preferred Demonstrated ability and experience in the utilization of statistical software. Required Demonstrated ability to use PC-based computing systems in a network environment. Proficiency with Microsoft Windows and Office software. Familiarity with the world-wide-web as an information resource. Required Knowledge of or demonstrated ability to learn statistical analysis techniques and experience in data management. Required English communication skills to effectively communicate in oral and written form with all levels of people including, Principal Investigators, Project Managers, and co-workers of equal stature. Required Demonstrated organizational skills to set-up tracking systems, prioritize job duties, and track each assignment to a satisfactory completion. Required Demonstrated ability to adapt to changing priorities and circumstances while maintaining professional demeanor. Required Demonstrated ability to work with frequent interruptions. Required Additional Posting Information Bargaining Unit: 99-Policy Covered Application Deadline: 03-25-2020 External Posting Date:" Data Scientist,"Irving, TX",Object Information Services - Richardson,"Job Requirements Advanced degree (MS or PhD) in a quantitative field including but not limited to statistics, computer science/data mining, operations research, or mathematics Demonstrated aptitude for logical analysis, problem identification, and problem solving Excellent interpersonal and communication skills to present analytics effectively to the leadership, team members and customers 3+ years of experience in computational programming such as R/Python/Scala 3+ years of experience using databases and writing complex queries involving various joins, aggregation functions, sub queries, update/alter tables and creating volatile tables 3+ years of experience with data engineering 3+ years of experience deploying statistical and machine learning techniques and experience with real-world problems Desired Qualifications Familiarity with deep learning , H20, and Tensorflow Building ML models in cloud environment Experience with building and implementing recommender systems Experience with visualization software such as Tableau, PowerBI Knowledge of using the big data environment/parallel processing to scale the models Familiarity with the airline/travel industry" Data Scientist,"Chicago, IL",Capax Global LLC,"Do you want to work at the forefront of artificial intelligence and machine learning? CapaxGlobal has a significant data analytics and management presence across many industries. With that footprint comes massive amounts of data that can inform us about markets and ways to improve our client business practices. This position will be part of the Data Science and Machine Learning team and will bring strong quantitative skills to our data science capabilities. You work in a multidisciplinary team exploring, connecting and mining internal data sources and will develop data models using algorithms for pattern detection and forecasting. In this position you will be managing projects that use advanced analytics techniques, such as optimization, forecasting, machine learning, predictive analytics, and statistical analysis, to develop solutions that help deliver significant value to a variety of Capax’s partners and clients. Candidates will be exposed to a wide spectrum of high visibility projects ranging from sales effectiveness, competitive intelligence, fraud detection, time series forecasting, operational efficiency, sourcing and procurement, supply-chain optimization and financial analysis. Location: Chicago IL | Philadelphia PA | Remote Travel: Up to 30% Responsibilities Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects. Develop visualization products to share analysis across a large group of business users. Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources. Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions. Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies. Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope. Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables. Qualifications Bachelor’s degree from an accredited college/university in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research or related fields. Master’s degree in data science, applied mathematics, or bioinformatics preferred. Minimum 6 years relevant work experience (if Bachelor’s degree) or minimum 3 years relevant work experience (if Master’s degree) with a proven track record in driving value in a commercial setting using data science skills. In-depth knowledge of various modeling algorithms e.g. Linear, GLMs, trees based models, neural networks, clustering, PCA, and time series models. Proficiency in R (e.g. ggplot2, cluster, dplyr, caret), Python (e.g. pandas, scikit-learn, bokeh, nltk), Spark – MLlib, H20, or other statistical tools. Minimum 2 years experience working in a data science or machine learning environment. In-depth knowledge of databases, data modeling, Hadoop, and distributed computing frameworks. Experience in software development environment, Agile, and code management/versioning (e.g. git). Strong EDA skills and experience/knowledge. Ability to understand complex and ambiguous business needs and applying the right tools and approaches. Collaborative team player. Excellent communication skills, both written and verbal. Experience developing and testing machine learning and/or statistical projects. Strong presentation skills. Ability to present statistical results to lay persons in an easy to understand way. We are looking for all levels of data science experience, jr through sr." Data Scientist,"San Francisco, CA (Telegraph Hill area)",EGIS INC,"We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.Your goal will be to help our company analyze trends to make better decisions.Responsibilities· Identify valuable data sources and automate collection processes· Undertake preprocessing of structured and unstructured data· Analyze large amounts of information to discover trends and patterns· Build predictive models and machine-learning algorithms· Combine models through ensemble modeling· Present information using data visualization techniques· Propose solutions and strategies to business challenges· Collaborate with engineering and product development teamsRequirements· Proven experience as a Data Scientist or Data Analyst· Experience in data mining· Understanding of machine-learning and operations research· Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset· Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)· Analytical mind and business acumen· Strong math skills (e.g. statistics, algebra)· Problem-solving aptitude· Excellent communication and presentation skills· BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferredJob Type: Full-timeSalary: $50,000.00 to $70,000.00 /yearExperience:R: 1 year (Preferred)SQL: 1 year (Required)Python: 1 year (Required)Education:Bachelor's (Preferred)Work authorization:United States (Required)" Data Scientist,Remote,Degreed,"Degreed exists to discover, empower and recognize the next generation of the world's expertise. The smartest, brightest, and most bold, the tenacious, willing, the unsung heroes, self-taught, the scrappy, driven, the passionate, daring, the unafraid. Experts. The Data Science team at Degreed works with large structured and unstructured datasets to understand how people develop the skills that they need to advance their careers. To do this, we use a diverse set of tools and approaches, including feature engineering, clustering, classification and recommendation models, word embeddings, and neural networks. Degreed is looking for a capable, qualified and versatile Data Scientist to help with the development and delivery of high-quality, data-driven, machine learning and predictive modeling solutions. RESPONSIBILITIES Work as part of a product team to derive data science products that help improve the experience on the platform Develop full data science pipelines from early proof-of concept models through full-scale training and working with engineers to deploy models to production Engineer features, build and optimize recommenders, classification models, and semantic graph, and evaluate the feasibility and performance of these models Assist with text/data classification and categorization Communicate about data science with a diverse set of stakeholders and development partners REQUIREMENTS Hands on (not just academic) experience in applying advanced analytics to solve complex business problems Proficiency in Python and SQL Experience with unsupervised and supervised machine learning techniques and methods Comfortable blending together diverse data sources to create training data for specific problems Experience processing large-scale data sets A strong passion for empirical research and for answering hard questions with data. Excellent written and verbal communication skills. We’re a distributed team and rely on good communication to perform at a high level Experience working remotely - It takes a self-motivated individual to thrive on a distributed team You are a lifelong learner and passionate about learning new things and taking on new challenges PREFERRED SKILLS Professional experience using unsupervised learning techniques - clustering, word embeddings, dimensionality reduction, etc Experience in Natural Language Processing (NLP) We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. See Degreed Jobs for more details on Degreed and why you should come work with us!" Data Scientist,"Los Angeles, CA 90045",MuteSix,"About MuteSix: MuteSix, an iProspect company, is an award-winning, full funnel digital and creative agency providing intelligent ad solutions that grow disruptor brands into enterprise market leaders. We help our clients design for the future while evolving their existing businesses with our agency’s winning combination of expert media buying, creative and talent. We help deliver scalable marketing solutions for clients across a broad spectrum of industries, including retail, e-commerce, luxury, nonprofit, technology, sports, publishing, and financial services. About you: This role will support internal agency teams understand the impact of our brand partner’s marketing efforts on sales, revenue and brand equity. As a data scientist, you will have a deep understanding of different types of media spend channels and associated data, metrics and KPIs. You will lead efforts to develop, maintain, and refine marketing mix models, multi-touch attribution models. Responsibilities: Develop, maintain and refine marketing mix models and attribution models using advanced statistical methods and machine learning models. Process, cleanse, validate and integrate data from different sources including Facebook, Google Analytics, and S3 for reporting, analyses, model building and data visualization. Analyze and have a deep understanding of media spend (investment and return) and measure performances. Lead the development of data framework and analytical approaches. Build optimization algorithms using the model output to optimize media spend to maximize customer growth and revenue. Present findings to internal agency stakeholders. Build applications that structure data and connect it to machine learning operations. Provide model validation and measures of predictive accuracy and confidence. Propose reporting enhancements, modifications, and corrections within defined reporting structure to enhance client understanding of marketing performance. Requirements: BA/BS in Statistics, Mathematics, Economics, Industrial Engineering or other quantitative discipline is required. 2+ years of experience in Media Mix Modeling, Multi Touch Attribution Modeling. Understanding of probability, statistics, and linear algebra. Experience with large data sets and analytical tools. Knowledge of a scripting language (SQL, Python, R, etc.). Knowledge of media and advertising (paid social, email, paid search etc.). Strong curiosity, leadership and business acumen. Ability to effectively influence and communicate cross-functionally with all levels; exceptional verbal and written communication skills. Ability to think strategically, including interpreting market and consumer information. Preferred: Experience with Agency, Retail, eCommerce, and subscription-based businesses. Experience in customer analytics, including lifetime value analysis, customer propensity, acquisition & retention, forecasting, and customer segmentation. Demonstrated experience applying machine learning models to answer tactical business questions. Demonstrated experience building automated ETL pipelines. What we offer: Scooter + dog friendly office, smart casual dress code, and standing desks. Unlimited snacks, cold brew, and avocados. Free onsite gym and awesome outdoor amenities including hammocks, grills, comfy seating, basketball court, food trucks and weekly farmer’s markets. Weekly Lunch and Learns, and opportunities to learn from industry experts. Health insurance coverage and a cell phone stipend. 401K matching program. Flexible work schedule and remote working - Take care of your work AND yourself! More about Mutesix: Headquartered in Los Angeles, CA, we have a performance-obsessed team of 150+ employees. Recent accolades include MuteSix being named #15 on the Inc. 500 list of fastest growing companies, one of Inc. Magazine's Best Workplaces and earning an Addy Award for breakthrough creative. MuteSix, an iProspect company, is proud to be part of the Dentsu Aegis Network, a group of agencies achieving great things in their own right, while also working brilliantly together. MuteSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training." Data Scientist (all levels),"Linthicum Heights, MD 21090",IAMUS Consulting,"Minimum Clearance Level: Secret Positions support various Department of Defense customers defensive cyber operations missions with big data analytics and capabilities. The Data Scientist will have the following experience: Some familiarity with Big Data architectures. (E.G. Hadoop, Apache Spark)Ability to code in Apache Spark with Java, Scala, SQL, Python, and/or RExperience using Kibana as a visualization tool. Shiny would be nice but not necessary.Ability to quickly triage extremely large data sets to find anomalies and other use cases.Experience setting up and using the Elastic Search / Logstash/ Kibana stack (ELK or SOF-ELK) a plus.Experience making and using Jupiter/Orange/Adam/Zeppelin notebooks a plusSome knowledge of machine learning concepts a plus, but must be able to do analysis and analytics without ML frameworksSoft-skills are extremely important. Must help customers understand technical concepts in their vernacular. Military experience a plus." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Data Scientist, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of environments (including various databases, Linux servers, and Hadoop). You’ll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment.Expected Qualifications: Bachelor’s degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree strongly preferred 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analytics Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc. Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc. Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) Excellent communication skills Passion for extracting hidden insights and building machine learning systems that enhance business outcomes About GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Data Scientist,"Washington, DC 20024 (Southwest Waterfront area)",Government of the District of Columbia,"This position is located in the Department of Consumer & Regulatory Affairs, Office of the Director, Agency Performance Office. The incumbent is responsible for applying predictive modeling and statistical analysis to improve the agency’s ability to derive better values from existing and future data assets. Duties and Responsibilities Develops computational algorithms and statistical methods to find patterns and relationships in multiple database sources. Identifies and utilizes predictive modeling and machine learning techniques to improve operational processes and agency’s overall data quality. Assess the effectiveness and accuracy of data sources and data gathering techniques. Interpret data trends and present material using compelling data visualizations. Works with senior officials throughout the organization to identify opportunities for business solutions. Solve complex business process and information requirement problems via a combination of analytic judgment, process improvement techniques, and proven analytic practices. Coordinate with different business units within DCRA to implement tools to monitor and analyze performance outcomes. Find creative approaches and bring new perspectives on available data. Qualifications and Education Degree: behavioral or social science; or related disciplines appropriate to the position. Or Combination of education and experience that provided the applicant with knowledge of one or more of the behavioral or social sciences equivalent to a major in the field. Or Four years of appropriate experience that demonstrated that the applicant has acquired knowledge of one or more of the behavioral or social sciences equivalent to a major in the field. Individuals must have at least one (1) year of specialized experience equivalent to at least the grade 12 level. Specialized experience is work which is directly related to the position which has equipped the individual with the knowledge, skill and abilities to successfully perform the duties of the position to include developing algorithms and statistical methods; identifying and utilizing predictive modeling and machine learning techniques; experience with data mining, exploratory data analysis, data visualization, and BI report development; or similar work experience. Experience in SAS and/or Tableau preferred. Licenses and Certifications None. Working Conditions/Environment The work is performed in the normal office settings. Other Significant Facts Multiple selections may be made on this posting. Tour of Duty: Monday - Friday 8:15am - 4:45pm Pay Plan, Series and Grade: CS-0101-12 Duration of Appointment: Career Service- Regular Appointment Promotion Potential: None Collective Bargaining Unit (Union): This position is not covered under a collective bargaining unit. Position Designation: The incumbents of this position will be subject to enhanced suitability screening pursuant to Chapter 4 of DC personnel regulations, Suitability. This position is designated as security sensitive. EEO Statement: The District of Columbia Government is an Equal Opportunity Employer. All qualified candidates will receive consideration without regard to race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, family responsibilities, matriculation, physical handicap, or political affiliation" "Data Scientist (Product Analytics), Education","Redwood City, CA",Chan Zuckerberg Initiative,"Founded by Dr. Priscilla Chan and Mark Zuckerberg in 2015, the Chan Zuckerberg Initiative (CZI) is a new kind of philanthropy that's leveraging technology to help solve some of the world's toughest challenges – from eradicating disease, to improving education, to reforming the criminal justice system. Across three core Initiative focus areas of Science, Education and Justice and Opportunity, we're pairing engineering with grantmaking, impact investing, policy work, and movement building, to help build an inclusive, just and healthy future for everyone. Our Values ---------- We believe we can help build a future for everyone. We aim to be daring, but humble: We look for bold ideas — regardless of structure and stage — and help them scale by pairing engineers with subject matter experts to build tools that accelerate the pace of social progress. We want to learn fast, but build for the long-term: We want to iterate fast and help bring new solutions to the table, but we also realize that important breakthroughs often take decades, or even centuries. Stay close to the real problems: We engage directly in the communities we serve because no one understands our society's challenges like those who live them every day. Our success is dependent on building teams that include people from different backgrounds and experiences who can challenge each other's assumptions with fresh perspectives. To that end, we look for a diverse pool of applicants including those from historically marginalized groups — women, people with disabilities, people of color, formerly incarcerated people, people who are lesbian, gay, bisexual, transgender, and/or gender nonconforming, first and second generation immigrants, veterans, and people from different socioeconomic backgrounds. The Opportunity --------------- Our work in education is aimed at ensuring that every student — not just a lucky few — can get an education that's tailored to their individual needs and supports every aspect of their development. We're pairing engineering with grantmaking, impact investing, policy, and advocacy work to help every young person enter adulthood with the skills and abilities they need to reach their full potential — and equip every teacher with the tools and research they need to help students get there. An example of the work CZI's education team supports include the Summit Learning Program, a personalized approach to teaching and learning that enhances the quality of student-teacher interactions and empowers educators to tailor instruction to individual student needs. Our Education Data Science team is responsible for measuring and evaluating product and program changes. For example, how product impacts student performance on cognitive skills, how schools onboard onto the program or how professional development impacts on onboarding, etc. This team defines measurements, product metrics, provides product insights through analysis, recommends what to improve and build next, as well as collaborates and communicates with the cross-functional and leadership teams. As a Data Scientist with a Product focus, you will build metrics, visualizations, dashboards, provide data insight, product expertise, and a strategic perspective to partners throughout the organization. You will combine your deep knowledge of the product and user behavior with quantitative analysis to tell meaningful stories that inform team decisions. You will collaborate closely with your colleagues in Engineering, Product Management, User Experience Research and Product Design. You will understand the ins and outs of the product and database and you will be looked to as an expert across the team. You will -------- Conduct data analysis to make product recommendations Deliver effective presentations of findings and recommendations to stakeholders, creating visual displays of quantitative information Develop data visualizations, automate reports, iteratively build and prototype reusable dashboards to provide insights at scale Collaborate with cross-functional stakeholders to formulate and complete full cycle analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations Contribute to the data-driven decision-making across the team You have -------- Quantitative and data related work experience in product within the technology, finance, consulting or a related industry. Experience in metrics development, data exploration, solving problems using data, building product intuition, data visualization, and providing practical business insight using data. Experience with technologies such as SQL, R or Python. Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience with varied technical skills. Prior exposure to working cross-functionally with teams of product managers, engineers, designers, researchers, data scientists, and analysts." Senior Data Scientist-Analytics,"San Diego, CA 92112",Intuit,"Intuit is seeking a Senior Customer Analyst to cover Intuit’s Consumer Group (TurboTax, Mint, Turbo). We have an exciting opportunity to help shape how we use data to generate hypotheses, surface insights, and build models in order to personalize customer experiences and provide awesome outcomes for the business and our customers. This role will partner closely with data engineering, data analytics, data science, marketing managers, and product management." "Graduate Data Science Analytics Intern, Sony Pictures Television - Summer 2020","Culver City, CA 90232 (Washington Culver area)","Sony Pictures Entertainment, Inc.","The Sony Pictures Entertainment Internship program offers a unique opportunity to work alongside the teams that come together to create movies, TV shows, and other great experiences. These seasonal, paid assignments provide meaningful and productive work that allow you to build your resume, experience and develop your skills further. You will be provided with challenging tasks, real-world experience, valuable networking opportunities, and many educational and social opportunities while on the lot. This Summer Internship is from May/June through August and all candidates must be able to work 40 hours a week, Monday through Friday. Sony Pictures Television Research provides insights, analysis, and advisory for all lines of business through both primary research and data analytics. With a global team of over 50 professionals located around the world, we seek to transform the way we do business through ‘data-driven’ and ‘decision-ready’ analytical products that drive positive change for our clients and the company. RESPONSIBILITIES: Within SPT Research, the data analytics team is small but growing. Our team has developed a data warehouse that has transformed our descriptive reporting through visualization. We have also implemented practical ML & statistical techniques to provide new business critical reports. We need a capable intern to work with us to advance our data science practice. Currently, we are interested in harvesting public social media data to discover relevant and timely signals of success for our TV shows. A candidate with similar interests and exposure would have added advantage. This position will require interaction with business executives, and you will work on a new and challenging business problem with actual stakeholders. Your day-to-day responsibility will include: Understand and clarify business requirements Develop a plan to gather and process data Apply the appropriate tools and algorithms to the data to address key business questions Collaborate with the IT team to leverage existing data sets and tools Share insights and implications of findings within SPT Research group and with business stakeholders in the form of presentations and written communication Opportunities to network, lunch-n-learn, receive mentorship from company executives, and gain exposure to SPT and other divisions within Sony Pictures Entertainment QUALIFICATIONS: 2+ years of experience in an analytical role dealing with large data sets MS/BS in Business Analytics, Statistics, Mathematics or other quantitative fields or equal experience Proficiency in data mining, statistical modeling and NLP is a big plus Fluency in Python or R or other statistical package and ability to interpret results Strong knowledge of databases, SQL and data visualization tools such as Tableau Possess strong analytical aptitude, intellectual curiosity, and ability to work both independently and collaboratively to solve problems PREFERRED QUALIFICATIONS: Currently enrolled in a master’s degree programSony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics." Freelance Lesson Writer for Mathematical Questions,Remote,"National Training Network, Inc.","NATIONAL TRAINING NETWORK JOB DESCRIPTION Freelance Lesson Writer Position Title: Freelance Lesson Writer for Grades 3-8, Algebra 1, Geometry and Algebra II Create lessons that address the CCSS for Mathematical content or other state standards in style and format.Lessons will contain student pages with answer keys and teacher direction pagesLesson approach is exploration and building conceptual understanding of mathematics.Lesson elements include: exploration with concrete and pictorial representations, cooperative learning activities and experiences, authentic real-world application problems, and assessment questionsLessons will demonstrate an understanding of the mathematical concepts and the ability to present the information, in written word, in a way that provides access to all learners.All lesson submissions will be checked for plagiarism to avoid legal complications.All lessons become intellectual property of National Training NetworkRequirements:Experience as a lesson writer including:o Proficient with Microsoft word in writing and grammatical conventionso Use of graphics within Word (charts, graphics, tables, graphs, grouping elements, decimals, creating geometry elements including angles and shapes)o Access to and use of MathType for fractions and equationsWhen writing lessons the following will be provided:Lesson templateFramework with lesson parts and parameters of each part defined (Example: number of questions for assessment)For more information on lesson format, please visit this link: http://ntnmath.kemsmath.com/Level%20E%20Teacher%20Notes/Level%20E%20Lesson%2017%20Teacher%20Notes.pdfPlease provide a sample mini lesson (3-5 pages) on CCSS 3.NF.3b (Equivalent Fractions), CCSS 7.NS.1c (Subtraction of integers), or CCSS F.IF.8b (Properties of Exponents), that incorporates building conceptual understanding of the concept and cooperative learning. This mini-lesson should include the student activity pages as well as the teacher directions.Compensation: Per Lesson TBDJob Type: ContractSalary: $500.00 /weekWork Location:Fully RemoteBenefits:NoneThis Company Describes Its Culture as:Detail-oriented -- quality and precision-focusedInnovative -- innovative and risk-takingOutcome-oriented -- results-focused with strong performance cultureTeam-oriented -- cooperative and collaborativeSchedule:Other" Data Scientist,"San Francisco, CA",Spin,"---------- About Spin ---------- Spin operates electric scooters in cities and campuses nationwide, bringing sustainable last-mile mobility solutions to diverse communities. Recognized for its consistent cooperation and collaboration with cities, Spin partners closely with transportation planners, elected officials, community groups, and university administrators to bring stationless mobility options to streets in a responsible and carefully orchestrated manner. Based in San Francisco, Spin is a diverse team of engineers, designers, urban planners, policymakers, lawyers and operators with experience from Y Combinator, Lyft, Uber, local and federal government, and the transportation advocacy world. Spin was known for launching the first stationless mobility program in Seattle, and has since expanded to become the exclusive electric scooter partner in mid-sized cities like Coral Gables, Florida and Lexington, Kentucky, and one of a few permitted scooter operators in large cities like Denver, Detroit, and Washington, D.C. The team embeds in cities and neighborhoods to understand their specific transportation needs, and hires locally from the community. Spin is expanding quickly and looking for top-tier talent to help us bring affordable and accessible transportation options to cities and define what future safe streets will look like. About the Role We are looking for a highly experienced data scientist to solve numerous optimization problems that will impact rider experience, operation efficiency, and help elevate business growth on a massive scale. You will be responsible for developing analytical insights, machine learning models and actionable data-infoemd solutions. You will also be experimenting with data to predict future performance. As Spin is a data informed organization, you will present findings to senior management to strengthen business decisions. The Team Our team consists people that are passionate about creating finely polished and intuitive experiences and, at the same time, obsess over performance and reliability of what we build. We challenge the status quo and strive towards finding the best way to solve problems. We work in very small groups to keep processes and overhead low, so we have a lot of trust and accountability to perform the work required to build the best product. ---------------- Responsibilities ---------------- Apply statistical techniques to develop analyses and models toward insights improving growth, experience, and operations Design, build, train and test Machine Learning models Write production-level code to convert your ML models into working pipelines Create visualizations and communicate findings and collaborate cross-organizationally, to drive business understanding; identify behaviors, trends, and opportunities; and facilitate launch decisions Collaborate with product, data, engineering, business and operations teams to frame analytical problems and design ML solutions -------------- Qualifications -------------- Degree in a quantitative field like statistics, economics, engineering, or applied math preferred Minimum of 3-5 years of relevant experience in data science role Knowledge of ML libraries and ability to build ML workflows Strong oral and written communication skills, and ability to collaborate with cross-functional partners to build the business Experienced in Python Benefits & Perks Opportunity to join a fast-growing startup and help shape and establish the company's industry leadership Competitive health benefits Daily catered lunch in our SF office Unlimited PTO for salaried roles Commuter stipend plus pre-tax benefits Monthly cell phone bill stipend Wellness perk for salaried roles Spin is an equal opportunity employer and will not discriminate against any employee or applicant for employment in an unlawful matter. We celebrate diversity and are committed to creating an inclusive environment for all individuals. Spin treats all employees and job applicants on the basis of merit, qualifications, and competence without regard to any qualified individuals' sex, race, color, religion, national origin, ancestry, gender (including pregnancy, breastfeeding, or related medical condition), sexual orientation, gender identity, gender expression, age, physical or mental disability, medical condition, genetic characteristic or information, marital status, military and veteran status, or any other characteristic protected by state or federal law. Spin also considers qualified applicants with criminal histories, consistent with applicable local, state, and federal law. Spin is committed to providing reasonable accommodations for qualified individuals with disabilities in its job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at job_accommodations@spin.pm." Senior Data Scientist,"New York, NY 10018 (Murray Hill area)",Cquest,"PERMANENT FULL TIME JOBNO SPONSORSHIPSLOCATION: NY AREAIMMEDIATE NEEDSALARY FLEXIBLE DEPENDING ON EXPERIENCEJob DescriptionData scientist that will help us discover the information hidden in vast amounts of data we collect (or in our database), and help us make smarter decisions to deliver even better products.Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.Development of new bankruptcy prediction models leveraging machine learning and deep neural networks, subscriber prediction models for identifying high cancellation risks and upsell potential, prospect prediction models to prioritize warmer leads, NLP models for improving existing scoring models with sentiment, employee behavior modeling to identify best and worst practices, etc.Responsible for speaking engagements at various credit and data conferences which will require travel. Periodically assisting sales and client services on calls with prospects and subscribers.ResponsibilitiesSelecting features, building and optimizing classifiers using machine learning techniquesData mining using state-of-the-art methodsExtending company’s data with third-party sources of information when neededEnhancing data collection procedures to include information that is relevant for building analytic systemsProcessing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear mannerEngaging on client calls to troubleshoot or explain questions about model outputsSkills and Qualifications: Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, NLP, TensorFlow, etc.Experience with common data science toolkits, such as NumPy or MatLab, Excellence in at least one of these is highly desirableProficiency in using query languages such as SQL3+ years as an industry practitionerBS required; MS/PhD preferred·Job Type: Full-timeSalary: $150,000.00 to $200,000.00 /yearExperience:Data Scientist: 10 years (Required)Location:New York, NY 10016 (Required)Work authorization:United States (Required)" Data Scientist,"Washington, DC",Pivotal Software,"LOCATION: Remote (home based) with some travel to New York, Washington DC, Boston. About Us VIDEO ( https://www.youtube.com/watch?v=ohREsVH5ND8&feature=youtu.be ) Founded in 2013, Pivotal Software, Inc. combines our leading cloud-native platform, tools, and methodology to empower the world's largest organizations to adapt to change and build great software. Our technology unleashes developer productivity, while fulfilling our mission to transform how the world builds software. You As a data scientist on Pivotal's Data Science team, you'll be working on a wide variety of data problems for a diverse range of clients. You will often be asked to learn new technologies and domains on the fly. You should be comfortable working under deadlines and making tough decisions. Consequently, you will frequently have to balance achieving an immediate goal with scalability and productionalizability. The role offers room for personal and professional growth, and you won't be working in isolation. Data Science at Pivotal is an encouraging and supportive team, where ideas and challenges are addressed collaboratively. We're looking for the kind of person who will try and solve a problem on their own first, but isn't afraid to ask for help or say ""I don't know."" Us The Data Science team at Pivotal is primarily a consulting practice; we are tool agnostic, working with our customers to solve real world problems. Our customers, like us, are cross-disciplinary. We service engagements with use cases running from customer churn to optimization to detecting fraud and misconduct. We are not just doers, we are also educators and enablers. Your Day While there is no such thing as a ""typical day"", these are activities we frequently find ourselves doing: Working with clients to uncover and frame new opportunities for data science. Clients often come to us without a clear understanding of what we can do, so this is our chance to open their eyes to new possibilities for their businesses. Exploring client datasets, looking for actionable insights we can present. Engineering features, training models, tuning hyperparameters and evaluating the results. We emphasize rigor, because data science done right at this stage leads to models that shine in production. Taking the models we build into production. This is an exciting stage for anyone who likes collaborating with engineering teams and seeing their model become real when users interact with it. Helping our clients develop their internal data science practices, from hiring and recruiting to data capturing, so that they can be successful when we hand off the project. Required Skills / Experiences Clear and empathetic communicator. You'll be the one sharing your insights with clients and stakeholders at check-ins, documenting your work, and even explaining your model to client data teams as part of a handoff. As such, communication and empathy are essential parts of your toolkit. Advanced knowledge of statistical modeling and/or machine learning methods. These are the tools we need to go from analysis to prediction. Strong programming skills. Left to our own devices most of us work in Python, but learning the client's tech stack is an important part of the job. Strong exploratory data analysis skills. Every engagement starts with an investigation of the data, and thorough EDA saves us a lot of headaches in the long run. Some travel is expected, depending on location and skillset. We mostly work out of the Pivotal office closest to the client, but sometimes we have to be on site for an extended period of time. At least a bachelor's degree in an analytical or technical field. This could be applied mathematics, statistics, computer science, operations research, economics, etc. Higher education welcome and encouraged. This role will support US government clients that require US citizenship. Given this, US citizenship is required for you to apply. Desired Skills / Experiences 2+ years of work in a data-centric field (data science or data engineering). Experience with relational databases. Exposure and experience working in a Linux environment. You have a specialization in an area like NLP, optimization, or image processing. Hands-on experience working in a distributed computing environment or proven theoretical understanding of parallelism. Pivotal is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law." Data Scientist,"Carlsbad, CA 92009 (Bressi Ranch area)",Ezoic,"At Ezoic, we're building a better internet experience with our all-in-one digital publishing platform. Artificial intelligence is at the core of everything that we do, and we are looking for a motivated, creative, results-oriented data scientist to develop novel, scalable models that improve website experiences for tens of millions of visitors each day. This is a high-impact position that will contribute to the very heart of our product. What you'll do: Develop novel, production-ready machine learning models using our in-house neural network architecture, open source tools, or custom solutions built from scratch Proactively perform data exploration on user behavior and website performance to discover future testing opportunities Lead the research and development of new predictive modeling techniques to increase customer revenue, reduce page load time, improve user experience, and move other key metrics Perform ad hoc analyses and modeling projects across our business, from marketing to business intelligence to core product Maintain rigorous experimental design practices in a fast-moving environment Serve as an advocate for the company's data and product by clearly communicating key results with internal and external stakeholdersWhat you'll need: PhD or MS degree in a highly-quantitative or computational field 2+ years experience in developing learning methodologies and building robust production machine learning systems. Strong coding experience, preferably with python and/or golang Strong SQL skills Familiarity with web development is a plus Experience with distributed tools (spark, kubernetes, docker) a plusLife at Ezoic: Ezoic is a technology-first company. Our CEO is a developer by trade, and our employees are given all the tools needed to succeed. We have a brand new dog-friendly office in Carlsbad, CA, where every engineer works at their own quad-monitor setup on a standing desk. We pride ourselves on getting stuff done, but when you're in need of a break, Ezoic offers great perks, including catered lunches, unlimited snacks and coffee, flexible hours, ping pong, video games, and pool. #ZR" Data Scientist,"Brook Park, OH",TS,"Master's degree in a quantitative field including but not limited to data science, analytics, and statistics and 2-3 years of data science experience or bachelor’s degree and 3-5 years of data science experience.Experience in the credit industry or finance preferred.Experience applying statistical techniques in 1 or more business units or domains (marketing, credit risk, supply chain, CRM etc.)Demonstrates Proficiency in Machine Learning2 years of programming experience in statistical software (Python, R, or SAS) and able to demonstrate proficiency at an experienced level. Experience with Python is preferredAbility to work with large data sets from multiple data sourcesAbility to communicate complex analytics concepts and techniques to manager level and belowAbility to work collaboratively with other data scientists and multiple stakeholders across the business unitIntellectual curiosity, a passion for data and a results orientationJob Types: Full-time, ContractSalary: $75,000.00 to $100,000.00 /hourExperience:data science: 4 years (Preferred)Education:Master's (Preferred)" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Scientist,"Greenwich, CT",ZUNA,"Would you like to work at one of the largest electronic broker companies while growing your knowledge and skills as a junior Data Scientist? If you are a determined, passionate junior data scientist who possesses the required skills, we are looking for you! The ideal candidate will possess the ability to execute analytical tasks on large data sets to support decision makers and provide insight and reports about our platforms. The junior data scientist role will use data to help us better understand who our clients are, how they engage with our products and services and how we can better serve them by identifying interesting and useful trends in our data. This also requires the ability to: Produce daily metrics and reports Clean and prepare data for Machine Learning and AI Collect and analyze various telemetry and behavioral data Work closely with software engineers and architects to extract, transform and standardize data for optimal use for analytic too Assist with designing and running A/B tests Automate frequently used reporting and data analysis workflowsQualifications Experience using statistical programming languages, machine learning and other toolkits and techniques for analyzing large, complex datasets 2+ years' experience in a data science or data analysis role 2+ years of Java coding experience Technical proficiency with transforming structured and unstructured data sets 2+ years mining and analyzing data sets to extract meaningful trends, producing meaningful and actionable reports Bachelors in Computer Science, Mathematics, Statistics; Masters strongly preferred" "Data Scientist, New Analytic Approaches - Global Research","New York, NY",UBS,"Your role Are you an empirical social scientist with a track record of extracting information from a few thousand data points, or a few billion? Are you excited by the prospect of working in diverse teams with a broad range of skillsets? Does your head turn if someone asks, ""Now how might we take this hypothesis to data?"" We’re looking for a Research Scientist to:apply hypothesis-driven empirical research methods to sell-side equity researchembed with equity analyst teams for extended consultations to take hypotheses to data test hypotheses about how analysts' views respond to new information and datadevelop teaching examples on applying empirical research techniques to the analysis of securitieshelp to ingrain replicable statistical computing workflows and habits in the analyst teamspartner with stakeholders across the company to support a test-learn-redeploy methodology Your team You’ll be working in the New Analytic Approaches (Global Research) team. We are bringing hypothesis-driven empirical methods and enterprise statistical computing practices to sell-side equity research. This is an opportunity to be part of a dynamic, creative, globally distributed team positioned at the center of the top equity research department in the world. As a research scientist, you will be helping to establishing the next frontier of sell-side equity research. Your expertise Ideally 1-4 years' experience designing and executing hypothesis-driven empirical research projects (research experience gained while earning a degree counts). Experience conducting research to inform business decisions would be a major plus.Baccaulaureate or Masters' degree with significant training in both empirical methods and social science Significant experience or formal training in coding with R or Python, and an ability to work in MS ExcelIntellectual curiosity and excellent communication skillsTeaching experience would be a major plusYour colleagues About us Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us? Join us We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce." Data Scientist,"Atlanta, GA 30313 (Downtown area)",The Coca-Cola Company,"This role will support and lead various financial data analytics, predictive modelling, process optimization initiatives along with building the right visuals to unleash the business insights. The individual will also be responsible for the operational weekly, monthly, quarterly and annual closing process for volume. The role will perform UC Volume Reporting to several stakeholders such as Investor Relations, Growth Organization, Controller’s Group and Executive Leadership Team. Function Related Activities/Key Responsibilities Support the development of advanced analytical methods by extracting and mining vast amounts of data from multiple sources to provide actionable insights for solving business problems or finding opportunities for profitable business growth. Provide expertise on statistical and mathematical concepts and inspire the adoption of advanced analytics and data science across the organization. Leverage technology to increase efficiency and productivity throughout Controller’s Group and act as a subject matter expert for information platforms and analytical/technical tools Provide expertise on predictive modelling using the right correlation between the external macroeconomic indicators and Company KPIs to achieve the best results. Volume analysis & various weekly, monthly reporting to Executive Leadership Team, Growth Organization, Controller’s Group and Investor Relations. Compass, NSR tool and Global Case Sales user support, security access approval and review Education Requirements: Bachelor’s Degree in relative quantitative fields (Finance, Engineering, Computer Science, Statistics, Math or Business) preferred and master’s degree preferred. Related Work Experience: 5+ years’ IT/Finance experience mainly in data analysis or equivalent; ideally in a CPG company Thorough knowledge of statistics and advanced data analysis/modeling skills (e.g. significance testing, regression modeling, machine Learning, AI, etc.) Experience working with big data platforms, statistical programming languages, like R or Python or SAS, database querying language like SQL, HIVE to increase efficiency by improving accuracy and reducing turnaround time. Data visualization tools such as Tableau, Power BI to deliver output to the Executive Leadership Team along with Groups/BUs and help them make data-driven decisions and improve productivity Functional Skills: Advanced Analytics: Evangelize the adoption of data-driven insights within Controller’s Group by leading the development of advanced analytical methods, mining vast amounts of data in the data lake to provide actionable insights for solving business problems or finding opportunities for profitable growth Technology: Leverage Technology (i.e. big data platform and analytical tools such as R, Python, SAS etc.) to increase efficiency and productivity throughout Controller’s Group by increasing output accuracy, reducing turnaround time and delivering output to the broader business community using data visualization tools such as Tableau & Power BI. Business Understanding & KO knowledge: Ability to connect data centric performance analysis with business/financial results. Communication: Create and communicate the output of the advanced analytics with recommendations to influence the decision making of ELT & Field operations. Consultant and SME: Serve as a consultant and subject matter expert back to the organization (Controller’s Group and all relevant stakeholders) on GCS, NSR tool, ETL tools (i.e. Alteryx), SQL/Cloud databases and visualization. Our Growth Culture: One of the reasons our company continues to thrive after 130+ years is having a company culture that supports and rewards behaviors that lead to growth. Our “Growth Behaviors,” as we call them, are ways of being and working that help to make us successful. Think about how you can bring this to life in your next role at Coca-Cola. Curious Keep seeking, never settle. Staying curious about what is outside, and two steps ahead inspires us to challenge the status quo. Having the courage to look and leap is the way we grow. Because asking “what if?” pushes us to the next level as people and as a company. Empowered Make it happen. True empowerment is the result of taking responsibility. This means giving yourself permission to see it, say it and do it, and owning the outcomes. Because we move forward faster when we all take action. Version 1.0, 2.0, 3.0 Push for progress, not perfection. There are very few overnight successes. Greatness is borne of many little victories (and failures). Share v 1.0, test it, and make it better. Then create the next version. Because the moment we think something is perfect, it will be obsolete. Inclusive Include, value and trust each other. We are smart alone but together we are genius. This means being inclusive, giving the benefit of the doubt and being responsible for each other. Because, for our company to thrive for the next 100+ years, smart isn’t enough. We need genius. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class." Senior Data Scientist,"Venice, CA",System1,"System1 is hiring a Senior Data Scientist. This is a senior role with a high amount of visibility. We are looking for experienced candidates that will bring analytical skills and statistical methods to measure the quality of our products, and to understand the behavior of end-users, advertisers, and publishers. You will also be instrumental in guiding and building our data science platform, and developing our next generation of recommendation systems. You will be an individual contributor, building optimizations that operate in real-time on a significant amount of daily revenue. You should be comfortable working in a highly cross-coordinated team environment where you will collaborate daily with engineering, account management and product teams. System1 is an organization centered around data and data products. We firmly believe data should inform and guide every quantitative decision process. We hire people who can utilize their broad set of technical skills to address technical challenges, as well as mentor junior team members on industry specific challenges and best practices. At System1, our Data Science team is responsible for work across the following: engineering, business, product, serving, analytics, and operations. The Role You Will Have Impactful individual contributor in core optimization systems Make modeling decisions for key revenue-generating projects Quickly iterate and release new models to production systems Be a key part of developing core optimization architectures Proactively seek out optimization opportunities with business stakeholders Sound leadership in statistical best practices as applied to data science What You Will Bring 5+ years of experience as a data scientist in the ad tech industry (DSP, SSP, or related) A degree in a quantitative discipline, mathematics, engineering, computer science preferred Experience with time series models and regression based models Deep experience with production data science solutions using Python and R Proven track record with analyzing very large data sets Work experience with various database technologies such as Snowflake, AWS, and Spark What We Have To Offer Free Uber/Lyft to and from work every day! Collegial and collaborative team with highly intelligent and motivated coworkers Cross-team lunches and demos to foster learning Unlimited Paid Sick Time, Competitive PTO and Benefits package Daily catered meals and fully stocked kitchen Bi-weekly happy hour at various bars, restaurants, and venues across Los Angeles Bi-weekly onsite happy hour Catered dinner on Tuesdays and Thursdays 401K Weekly fitness class with private trainer: high intensity training, yoga, beach volleyball, beach soccer, ultimate frisbee" Data Scientist,"Seattle, WA",Adobe,"The Challenge: The Adobe Digital Video and Audio (DVA) Data Science team is seeking a Data Scientist to help drive a culture of evidence-based decision-making. We support a fantastic product suite including Premiere Pro, Premiere Rush, After Effects, Audition, and Character Animator: products that are used by creative professionals and hobbyists around the world to create rich video, audio, and animation content across a variety of media channels. We are a diverse group of data professionals drawing from a broad spectrum of disciplines including applied math, quantitative finance, cognitive neuroscience, and software engineering. We believe that there isn't just one path to success in data science and look forward to what unique skills and experiences you can bring to the team. As a Data Scientist, you will partner with Product Managers and Software Engineers to make informed decisions about their products through insights gleaned from statistical analysis and experimentation. Are you passionate about statistical thinking and helping people improve the decisions they make? Are you self-motivated with strong interpersonal, communication, and collaboration skills? Are you a problem solver who generates actionable solutions through a combination of technical skills with intuition for business? We invite you to apply today! What You'll Do: Build machine learning algorithms to aid in product stability and performance optimizations Construct machine learning pipelines to map customers to persona-based segments based on in-app usage data Utilize statistical techniques to adjust for bias and extrapolate meaningful insights to broader product development decisions Design, implement, and analyze results from A/B/n experiments Use the appropriate statistical tools to analyze data and minimize bias Build dashboards to enable self-service data consumption for key collaborators Work with engineering teams to understand existing product instrumentation and bridge gaps in data streams Partner with data engineers to optimize scheduled jobs for regular reporting and build custom data sets for tailored needs Advocate for data-forward thinking within product management and engineering teams What You'll Need to Succeed: 3+ years of professional experience in data science/analytics BS or MS degree in an analytical discipline: statistics, applied mathematics, computer science, engineering, economics, etc. Experience with R and/or Python Experience translating business questions into data analytics approaches Strong proficiency in querying and manipulating large datasets using SQL-like languages (Hive, Spark, etc.) Experience designing and analyzing A/B/n experiments, using appropriate statistical techniques to mitigate bias and interpret statistical significance Familiarity with descriptive and inferential statistics (e.g. t-test, chi-square, ANOVA, correlation, regression, etc.) to understand usage behaviors and generate hypotheses Experience creating data visualizations and storytelling to effectively communicate analysis results to both technical and non-technical audiences Knowledge of relevant tools in this field such as Hive, Tableau, Excel (Charting and PivotTables), and PowerBI At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists . You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age , sexual orientation, gender identity, disability or veteran status." Clinical Data Analyst ll/Scientist,"San Diego, CA",Infotree Service Inc,"Company Description Medical Device Job Description The Scientist in this position will perform multivariate analysis of biomarker data in connection with Company Neuroscience clinical trials with the goals of providing tools for patient screening, risk assessment, diagnosis and staging, and for developing biomarker-based patient subgroups. The scientist will generate hypotheses and validate them using independent data sets. Responsibilities also include interfacing with CROs and data management teams to QC biomarker data and transfer them to clinical trial databases. The successful candidate will work with internal collaborators, and CROs to develop and validate biomarker signatures. S/he will interface internally with Project Scientists and Laboratory Personnel and interact outside of the immediate group with data management and scientists in Quantitative Sciences, Experimental Medicine and Clinical Development. QualificationsA bachelor's degree in statistics/bioinformatics/biomedical engineering/genetics and genomics or related fields is required.Hands-on experience with data processing and analysis, statistical inference techniques, multivariate analysis and/or machine learning is required.A publication record, including first author publications in peer-reviewed journals, is a plus.Good communication skills are required. Additional Information Local Candidates only" Economist / Data Scientist,"San Diego, CA 92127",HP,"As Economist/Data Scientist at HP Inc. in San Diego, you will join an industry-leading organization and work on developing and implementing analytical models to identify optimal pricing, marketing and sales decisions for our Printing & PC business. Working within a dynamic, highly skilled and diverse Pricing Strategy and Analytics team (economists, engineers, scientists or even musicians – majority of them with a PhD) you will drive advanced pricing science and analytics (e.g., elasticity and cross elasticity, price optimization, pricing waterfalls, promotion effectiveness, dynamic pricing) and apply your knowledge of statistical modeling and data. Insights from your statistical analyses will be used to develop marketing and pricing guidelines for HP printers, cartridges and PCs around the world. Responsibilities: Develop and apply statistical methods and experimentation to analyze the effect of pricing and sales decisions on business performance Build and interpret advanced machine learning models on real business data Visualize and interpret the results of analyses, and create strategy recommendations Present the results and the corresponding recommendations to the relevant stakeholders, including senior leadership Develop and implement frameworks and processes for systematic data analysis Immerse yourself in very large data sets and complex problems Develop tools to ingest, merge, and clean datasets Qualifications: Interest in pricing, economics, and/or consumer behavior Scientific thinking and ability to design and critically analyze quantitative research Ability to think creatively about research problems and invent original solutions to modeling challenges Coursework and/or hands-on experience in quantitative research, with diverse academic backgrounds (Economics, Social Sciences, Life Sciences, etc.) considered Proficiency with R or Python is required Ability to build and interpret complex linear regression models, with machine learning experience a plus Strong analytical skills, with a high level of attention to detail Proficiency in Microsoft Excel and Microsoft PowerPoint Excellent written and verbal communication skills Nice-To-Haves: Knowledge of price optimization approaches, price discrimination models and a general knowledge of main concepts from the industrial organization literature Experience working with large data sets Experience in data engineering Exposure to digital marketing Experience working in or collaborating with industry Experience creating data visualizations Ability to build dashboards and other tools using front-end development skills Experience in software development Education & Experience Bachelor's, Master's or PhD degree in Economics, Quantitative Marketing, Computer Science, Mathematics, Physics or equivalent Typically 3-5 years’ experience including graduate or postgraduate research" Data Scientist,"Manhattan, NY",Rose Technology,"About Us: Rose is the home for data. We believe that data should be easy to find and even easier to work with. We've been through the pain of trying to work with data from various disparate sources and we want to change that experience.if you believe in creating a better way of allowing people to make data driven decisions, we encourage you to apply to join our team in Manhattan.Requirements: As a data scientist for Rose, candidates will be aggregating data.Candidates will also be automating pipes for data ingestion.Bachelor's degree in IT, computer science, mathematics, or other related field preferred.Enthusiasm for data analysis required.Confidence in sharing your original ideas required.Ability to draw conclusions from data required.Ability to create visuals using different coding libraries required.Our culture is one of openness, accountability, and drive. Join us if you are inquisitive, open-minded, and ready to be part of the data revolution.Job Type: Full-timeSalary: $80,000.00 to $100,000.00 /hourExperience:data science: 1 year (Preferred)analytics: 1 year (Preferred)Location:Manhattan, NY (Required)Work authorization:United States (Required)Work Location:One locationSchedule:Monday to Friday" Data Scientist,"Plano, TX 75023",Samsung Electronics,"Position Summary Data Scientists are responsible for developing brand new solutions, especially in creating solution architectures and proof-of-concepts. Besides providing the critical link between the most technical areas of the organization and our business partners, Data Scientists have a keen sense of how to research cutting edge data science methods and apply those same methods to Samsung’s own, novel solutions. Balancing excellent business communication skills with a deep analytical understanding is needed to 1) successfully build never-been-done-before analytic solutions in a Big Data environment and 2) interface daily with business partners, engineering, and product management teams. Role and Responsibilities Research cutting edge data science methods deeply to 1) qualify each methods’ viability to meet Samsung’s delivery standards and 2) propel Samsung’s solutions into brand new spaces. Develop solution architectures and proof-of-concepts (POCs) that can be seamlessly handed off to other Data Scientists for development Discover and apply insights from massive data sets of structured, semi-structured, and unstructured data Collaborate with Line of Business teams and executive sponsors to develop novel, practical, and operationalized analytics that drive explicit business value at the customer level Combine strengths in data management, analysis, applied statistics, and visualization capabilities Develop data analysis solutions based on descriptive analyses and predictive models Collaborate with marketing, service, development, and engineering teams to ensure that requirements for integration, security, data quality and cross functional usage are addressed Skills and Qualifications Required: Extensive experience solving analytic problems using quantitative approaches and a proven passion for generating actionable insights and predictions from data. 3+ years of experience developing analytic results that directly inform and/or enable quantifiable business action, either by providing insights or building analytic applications. 3+ years statistical programming experience. 2+ years working with big data experience; regular use of data with high-volume (1TB+) & high-dimensionality (500+ variables per schema). Intermediate level Python programming expertise. Intermediate level SQL expertise . Expertise in GLM regression (linear, logit, multinomial), decision trees, random forests, gradient boosted trees. MS or PhD in Mathematics, Computer Science, Engineering, or Economics required. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner is required. Preferred: 2+ years of experience in sales or marketing functions for consumer products, retail, tech, telecom, or financial industries. Intermediate level R programming expertise. Expertise with Hive, Impala and Spark. Expertise in deep neural networks, panel regression, Bayesian regression, times series, optimization and mathematical programming, reinforcement learning. Familiarity with the Hadoop framework with hands-on experience both querying and applying statistics on massive data sets. Experience with GIT, Jira, Agile Software Development. Experience with UNIX/Linux environment. Shell scripting. incremental MBA." Data Scientist,"Atlanta, GA",NCR,"About NCR NCR Corporation (NYSE: NCR) is a leading software- and services-led enterprise provider in the financial, retail, hospitality, telecom and technology industries. NCR is headquartered in Atlanta, Ga., with 34,000 employees and does business in 180 countries. NCR is a trademark of NCR Corporation in the United States and other countries. Think you know NCR? Think again! NCR Corporation is the global leader in consumer transaction technologies, turning everyday interactions with businesses into exceptional experiences. With its software, hardware, and portfolio of services, NCR enables nearly 700 million transactions daily across retail, financial, travel, hospitality, telecom and technology, and small business. NCR solutions run the everyday transactions that make your life easier. By continually learning about—and pioneering—how the world interacts and transacts, we’re helping companies not only reach their goals, but also change the way all of us shop, eat, travel, bank and connect. Together, we are shaping the future. NCR is headquartered in Atlanta, Georgia, with approximately 34,000 employees and conducts business in 180 countries. What you’ll do: The Data Scientist will help accelerate growth and advance NCR’s global competitiveness through commercial analytics to continuously improve sales effectiveness and efficiency. The role is responsible for partnering with multiple internal stakeholders to create, implement, and validate commercial analytics, processes, tools, and data science models to drive customer adoption, revenue, and margin objectives. More specifically, this role will partner closely with Analytics, IT, Finance, Sales, Marketing and others, to: Drive data science projects to enable bottom line impact for the business Measure and track impact of implemented models Design and generate new reports and dashboards as needed Assist in statistical model improvements to improve go to market strategies Monitor implementation and adherence to overall business strategy Conduct primary and secondary research and analysis on customer value perception and competitive positioning Communicate key insights to cross-functional stakeholders and senior leaders Educational & Professional Qualifications: Graduate degree in a scientific or analytics field of study, PhD preferred Demonstration of relevant data driven projects Good statistical skills and experience with predictive analytics Good technical background; Proficiency in Python/R Experience working with large databases and data visualization tools (Tableau) Confidence dealing with less-than-perfect data (e.g., cleaning, fusing, extrapolating) SQL experience a strong plus Personal Qualifications: Confident, innovative thinking, and a strong sense of initiative Sound analytical and problem-solving skills with ability to quickly process complex information and present it clearly and simply Superb written and verbal communication skills Flexible and adaptive, able to work across multiple simultaneous projects Team oriented and collaborative approach in working across teams Curious and committed to personal development Offers of employment are conditional upon passage of screening criteria applicable to the job. EEO Statement Integrated into our shared values is NCR's commitment to diversity and equal employment opportunity. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, creed, religion, national origin, disability, sexual orientation, gender identity, veteran status, military service, genetic information, or any other characteristic or conduct protected by law. NCR is committed to being a globally inclusive company where all people are treated fairly, recognized for their individuality, promoted based on performance and encouraged to strive to reach their full potential. We believe in understanding and respecting differences among all people. Every individual at NCR has an ongoing responsibility to respect and support a globally diverse environment.Statement to Third Party Agencies To ALL recruitment agencies: NCR only accepts resumes from agencies on the NCR preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR employees, or any NCR facility. NCR is not responsible for any fees or charges associated with unsolicited resumes." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist (Entry Level),"Chicago, IL 60606 (The Loop area)",Strike Social,"Why Work With Us Strike is a leader in the fast-growing marketing technology sector. We're not just succeeding, we're kicking butt. Come help build the next generation of advertising and marketing technology using the latest technologies including Machine Learning, Real-time Analytics, and Experimental Modeling on the Strike Marketing Cloud/Data Warehouse. Strike has offices in Chicago, San Francisco, Los Angeles, New York, Singapore, Australia, the Philippines and Poland. Data Scientist (Entry Level) Who you are: You are someone who takes pride in your work, seeks order in chaos, and wants the opportunity to work with like-minded individuals. You are a leader, not a follower, with an innovative spirit who wants to collaborate with a team of brilliant minds in our quest to generate amazing insights. What you'll do: We are working on some challenging problems that require bright minds and grit to help us solve. We work in an agile environment with lots of cool toys. Our Data Scientists research and create our learning infrastructure using Python and then work with Data Engineering to build micro services into our data lake. A career at Strike is an exciting journey where you will: Partner with product development teams to research, design and implement learning systems that recommend, optimize, and predict marketing campaign performance for top brands across multiple advertising platforms including YouTube (Adwords and DV360), Facebook/Instagram, LinkedIn, Snapchat, Pinterest and more Develop algorithms and models that inform customer activities Participate in the architecture and development of a closed-loop learning system reading and feeding our private data warehouse Play a key role architecting and building our Marketing Data Warehouse Report progress, issues and status at daily and weekly stand-ups Stay abreast of emerging technologies and new design approaches Provide technical leadership both within and outside the technology team What you need: Bachelor's degree or higher - Quantitative field such as Computing Science, Statistics, Mathematics, Physics, or Engineering 2+ years of strong mathematical and statistical data analysis experience 2+ years of experimental data / modeling experience 2+ years of Machine Learning experience including black box and bespoke solutions 2+ years of Python development experience Agile software development methodology experience and test-driven development experience Take pride in writing clean dependable algorithms Strong ability to analyze problems and formulate effective solutions Sharp critical thinking skills, including systems and business analysis, problem analysis and resolution, and sound judgment/decision making ability Proven ability to work in a rapid release product environment Impress us with: Masters or PhD - Quantitative field such as Statistics, Mathematics, Physics, or Engineering Experience with Database optimization and maintenance Experience to develop and deploy Machine Learning and Algorithmic micro services Working at Strike Social Strike is a close-knit, work-hard/play-hard environment. If you want a fun, challenging and rewarding experience, apply to join our team! Aside from standard (and generous) employee benefits, Strike offers an open office environment, casual dress code, a spectacular Loop location and frequent team outings. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. Direct inquiries only, no recruiters please. rseBEMTunM" Data Scientist,"Carlsbad, CA 92009 (Bressi Ranch area)",Ezoic,"At Ezoic, we're building a better internet experience with our all-in-one digital publishing platform. Artificial intelligence is at the core of everything that we do, and we are looking for a motivated, creative, results-oriented data scientist to develop novel, scalable models that improve website experiences for tens of millions of visitors each day. This is a high-impact position that will contribute to the very heart of our product. What you'll do: Develop novel, production-ready machine learning models using our in-house neural network architecture, open source tools, or custom solutions built from scratch Proactively perform data exploration on user behavior and website performance to discover future testing opportunities Lead the research and development of new predictive modeling techniques to increase customer revenue, reduce page load time, improve user experience, and move other key metrics Perform ad hoc analyses and modeling projects across our business, from marketing to business intelligence to core product Maintain rigorous experimental design practices in a fast-moving environment Serve as an advocate for the company's data and product by clearly communicating key results with internal and external stakeholdersWhat you'll need: PhD or MS degree in a highly-quantitative or computational field 2+ years experience in developing learning methodologies and building robust production machine learning systems. Strong coding experience, preferably with python and/or golang Strong SQL skills Familiarity with web development is a plus Experience with distributed tools (spark, kubernetes, docker) a plusLife at Ezoic: Ezoic is a technology-first company. Our CEO is a developer by trade, and our employees are given all the tools needed to succeed. We have a brand new dog-friendly office in Carlsbad, CA, where every engineer works at their own quad-monitor setup on a standing desk. We pride ourselves on getting stuff done, but when you're in need of a break, Ezoic offers great perks, including catered lunches, unlimited snacks and coffee, flexible hours, ping pong, video games, and pool. #ZR" Data Scientist,"San Francisco, CA",Spin,"---------- About Spin ---------- Spin operates electric scooters in cities and campuses nationwide, bringing sustainable last-mile mobility solutions to diverse communities. Recognized for its consistent cooperation and collaboration with cities, Spin partners closely with transportation planners, elected officials, community groups, and university administrators to bring stationless mobility options to streets in a responsible and carefully orchestrated manner. Based in San Francisco, Spin is a diverse team of engineers, designers, urban planners, policymakers, lawyers and operators with experience from Y Combinator, Lyft, Uber, local and federal government, and the transportation advocacy world. Spin was known for launching the first stationless mobility program in Seattle, and has since expanded to become the exclusive electric scooter partner in mid-sized cities like Coral Gables, Florida and Lexington, Kentucky, and one of a few permitted scooter operators in large cities like Denver, Detroit, and Washington, D.C. The team embeds in cities and neighborhoods to understand their specific transportation needs, and hires locally from the community. Spin is expanding quickly and looking for top-tier talent to help us bring affordable and accessible transportation options to cities and define what future safe streets will look like. About the Role We are looking for a highly experienced data scientist to solve numerous optimization problems that will impact rider experience, operation efficiency, and help elevate business growth on a massive scale. You will be responsible for developing analytical insights, machine learning models and actionable data-infoemd solutions. You will also be experimenting with data to predict future performance. As Spin is a data informed organization, you will present findings to senior management to strengthen business decisions. The Team Our team consists people that are passionate about creating finely polished and intuitive experiences and, at the same time, obsess over performance and reliability of what we build. We challenge the status quo and strive towards finding the best way to solve problems. We work in very small groups to keep processes and overhead low, so we have a lot of trust and accountability to perform the work required to build the best product. ---------------- Responsibilities ---------------- Apply statistical techniques to develop analyses and models toward insights improving growth, experience, and operations Design, build, train and test Machine Learning models Write production-level code to convert your ML models into working pipelines Create visualizations and communicate findings and collaborate cross-organizationally, to drive business understanding; identify behaviors, trends, and opportunities; and facilitate launch decisions Collaborate with product, data, engineering, business and operations teams to frame analytical problems and design ML solutions -------------- Qualifications -------------- Degree in a quantitative field like statistics, economics, engineering, or applied math preferred Minimum of 3-5 years of relevant experience in data science role Knowledge of ML libraries and ability to build ML workflows Strong oral and written communication skills, and ability to collaborate with cross-functional partners to build the business Experienced in Python Benefits & Perks Opportunity to join a fast-growing startup and help shape and establish the company's industry leadership Competitive health benefits Daily catered lunch in our SF office Unlimited PTO for salaried roles Commuter stipend plus pre-tax benefits Monthly cell phone bill stipend Wellness perk for salaried roles Spin is an equal opportunity employer and will not discriminate against any employee or applicant for employment in an unlawful matter. We celebrate diversity and are committed to creating an inclusive environment for all individuals. Spin treats all employees and job applicants on the basis of merit, qualifications, and competence without regard to any qualified individuals' sex, race, color, religion, national origin, ancestry, gender (including pregnancy, breastfeeding, or related medical condition), sexual orientation, gender identity, gender expression, age, physical or mental disability, medical condition, genetic characteristic or information, marital status, military and veteran status, or any other characteristic protected by state or federal law. Spin also considers qualified applicants with criminal histories, consistent with applicable local, state, and federal law. Spin is committed to providing reasonable accommodations for qualified individuals with disabilities in its job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at job_accommodations@spin.pm." Data Scientist,"Brook Park, OH",TS,"Master's degree in a quantitative field including but not limited to data science, analytics, and statistics and 2-3 years of data science experience or bachelor’s degree and 3-5 years of data science experience.Experience in the credit industry or finance preferred.Experience applying statistical techniques in 1 or more business units or domains (marketing, credit risk, supply chain, CRM etc.)Demonstrates Proficiency in Machine Learning2 years of programming experience in statistical software (Python, R, or SAS) and able to demonstrate proficiency at an experienced level. Experience with Python is preferredAbility to work with large data sets from multiple data sourcesAbility to communicate complex analytics concepts and techniques to manager level and belowAbility to work collaboratively with other data scientists and multiple stakeholders across the business unitIntellectual curiosity, a passion for data and a results orientationJob Types: Full-time, ContractSalary: $75,000.00 to $100,000.00 /hourExperience:data science: 4 years (Preferred)Education:Master's (Preferred)" Data Scientist,"Santa Monica, CA 90404 (Mid-City area)",Starz,"Job Title: Data Scientist Department: Technology Location: Santa Monica, CA, US, 90404 Summary of Position: STARZ is looking for a skilled Data Scientist to join their growing team Santa Monica, CA. This resource will have access to a variety of different data sources available to the Data Products and Engineering team, entailing clickstream, financial, marketing, event, and internal data. This individual will be responsible for exploring data sets as large as (please include size of data sets) and driving business results with their data-based insights using predictive modeling. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and can use models to test the effectiveness of different courses of action. Other responsibilities will include (but are not limited to) data visualization, data- driven problem solving, They have a passion for discovering solutions hidden in data sets and can brainstorm ways to improve business outcomes/determine future project focus. They must also have experience and interest in content analysis. Experience & Skills: 4+ years of experience as a Data Scientist within a large, consumer-facing analytics environment Strong python/R programming experience to extract, clean, analyze, and visualize data Exposure to cloud environments (preferably AWS) Strong experience utilizing Spark for data processing Automation experience using Amazon S3 or other comparable storage service Machine Learning experience using Tensorflow, Scikit-learn, or Spark ML Experience using Amazon SageMaker for cloud machine learning At least a B.S. in Computer Science, EE or Mathematical Science. MS or PhD preferredStarz (www.starz.com), a Lionsgate company (NYSE: LGF.A, LGF.B), is a leading global media and entertainment company that produces and distributes premium streaming content to worldwide audiences across subscription television platforms. Starz is home to the flagship domestic STARZ® brand, STARZ ENCORE, 17 premium pay TV channels and the associated on-demand and online services, including the highly rated STARZ app. With the launch of the STARZPLAY international premium streaming platform and STARZ PLAY Arabia, Starz is expanding its global footprint in a growing number of territories. Sold through multichannel video distributors, including cable operators, satellite television providers, telecommunications companies, and other online and digital platforms, Starz offers subscribers more than 7,500 distinct premium television episodes and feature films, including STARZ Original series, first-run movies and other popular programming. STARZ is an Equal Opportunity Employer. This means that all applicants will receive consideration for employment regardless of gender, age, race, national origin, disability, color, religion, sexual orientation, gender identity and/or expression, veteran status, or any other characteristic protected by federal, state or local law. In addition, STARZ will provide reasonable accommodations for qualified individuals with disabilities." Data Scientist,"Atlanta, GA 30313 (Downtown area)",The Coca-Cola Company,"This role will support and lead various financial data analytics, predictive modelling, process optimization initiatives along with building the right visuals to unleash the business insights. The individual will also be responsible for the operational weekly, monthly, quarterly and annual closing process for volume. The role will perform UC Volume Reporting to several stakeholders such as Investor Relations, Growth Organization, Controller’s Group and Executive Leadership Team. Function Related Activities/Key Responsibilities Support the development of advanced analytical methods by extracting and mining vast amounts of data from multiple sources to provide actionable insights for solving business problems or finding opportunities for profitable business growth. Provide expertise on statistical and mathematical concepts and inspire the adoption of advanced analytics and data science across the organization. Leverage technology to increase efficiency and productivity throughout Controller’s Group and act as a subject matter expert for information platforms and analytical/technical tools Provide expertise on predictive modelling using the right correlation between the external macroeconomic indicators and Company KPIs to achieve the best results. Volume analysis & various weekly, monthly reporting to Executive Leadership Team, Growth Organization, Controller’s Group and Investor Relations. Compass, NSR tool and Global Case Sales user support, security access approval and review Education Requirements: Bachelor’s Degree in relative quantitative fields (Finance, Engineering, Computer Science, Statistics, Math or Business) preferred and master’s degree preferred. Related Work Experience: 5+ years’ IT/Finance experience mainly in data analysis or equivalent; ideally in a CPG company Thorough knowledge of statistics and advanced data analysis/modeling skills (e.g. significance testing, regression modeling, machine Learning, AI, etc.) Experience working with big data platforms, statistical programming languages, like R or Python or SAS, database querying language like SQL, HIVE to increase efficiency by improving accuracy and reducing turnaround time. Data visualization tools such as Tableau, Power BI to deliver output to the Executive Leadership Team along with Groups/BUs and help them make data-driven decisions and improve productivity Functional Skills: Advanced Analytics: Evangelize the adoption of data-driven insights within Controller’s Group by leading the development of advanced analytical methods, mining vast amounts of data in the data lake to provide actionable insights for solving business problems or finding opportunities for profitable growth Technology: Leverage Technology (i.e. big data platform and analytical tools such as R, Python, SAS etc.) to increase efficiency and productivity throughout Controller’s Group by increasing output accuracy, reducing turnaround time and delivering output to the broader business community using data visualization tools such as Tableau & Power BI. Business Understanding & KO knowledge: Ability to connect data centric performance analysis with business/financial results. Communication: Create and communicate the output of the advanced analytics with recommendations to influence the decision making of ELT & Field operations. Consultant and SME: Serve as a consultant and subject matter expert back to the organization (Controller’s Group and all relevant stakeholders) on GCS, NSR tool, ETL tools (i.e. Alteryx), SQL/Cloud databases and visualization. Our Growth Culture: One of the reasons our company continues to thrive after 130+ years is having a company culture that supports and rewards behaviors that lead to growth. Our “Growth Behaviors,” as we call them, are ways of being and working that help to make us successful. Think about how you can bring this to life in your next role at Coca-Cola. Curious Keep seeking, never settle. Staying curious about what is outside, and two steps ahead inspires us to challenge the status quo. Having the courage to look and leap is the way we grow. Because asking “what if?” pushes us to the next level as people and as a company. Empowered Make it happen. True empowerment is the result of taking responsibility. This means giving yourself permission to see it, say it and do it, and owning the outcomes. Because we move forward faster when we all take action. Version 1.0, 2.0, 3.0 Push for progress, not perfection. There are very few overnight successes. Greatness is borne of many little victories (and failures). Share v 1.0, test it, and make it better. Then create the next version. Because the moment we think something is perfect, it will be obsolete. Inclusive Include, value and trust each other. We are smart alone but together we are genius. This means being inclusive, giving the benefit of the doubt and being responsible for each other. Because, for our company to thrive for the next 100+ years, smart isn’t enough. We need genius. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class." Data Scientist,"Denver, CO 80202 (Lodo area)",Evolve Vacation Rental,"The position We're seeking a Data Scientist to join our Analytics team! This team and role is a critical element to Evolve's success and helps position us as an innovator and thought-leader in the vacation rental space. The Data Scientist will build machine learning models and perform analyses that can be used to improve Evolve's operations and optimize the customer experience. Our dream applicant is a self-starter who has strong technical skills and a desire to build data solutions that will make the biggest impact on the business. We're a tight-knit team of Data Scientists and BI professionals that learn together and are constantly thinking about how machine learning, analytics, and visualization can make an impact on our business. Responsibilities Utilize machine learning, statistical methods, and experimental design techniques to solve business problems Maintain model explainability and present new models in a way that builds trust and understanding across stakeholders Monitor model performance and identify opportunities for improvement Incorporate a test and learn mentality into model development Continue to learn new data science techniques and coding best practices A little about you Bachelor's degree in Computer Science, Statistics, or related quantitative field, Masters or PhD preferred Proven track record of your deployed models making a business impact and getting better over time Programming experience with Python and SQL, ideally in a full-stack machine learning setting Ability to work in a collaborative environment with a variety of stakeholders A little about us Evolve makes vacation rental easy for everyone. Our fresh approach to vacation rental management offers homeowners a better way to generate rental income and provides travelers with the industry's best booking experience. Thanks to a strong work ethic and an unapologetic passion for hospitality, we now support over 10,000 properties in over 500 markets across North America. We enjoy earning each guest and owner's business - all while having some fun along the way. Values mean more to Evolve than just bullets on a page. They drive our daily decisions and impact how we work as a hospitality company. Which value sounds the most like you? Earn It Build Loyalty One Interaction at a Time Communicate Often, Honestly & Directly Embrace Change Stay Hungry & Humble Care Be Efficient Take Risks Learn Every Day Have Some Fun Along the Way Evolve is an equal opportunity employer. We believe that a diverse work environment is a successful work environment so all qualified candidates will be considered for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. p8burU5rJ7" Data Scientist,"Manhattan, NY",Rose Technology,"About Us: Rose is the home for data. We believe that data should be easy to find and even easier to work with. We've been through the pain of trying to work with data from various disparate sources and we want to change that experience.if you believe in creating a better way of allowing people to make data driven decisions, we encourage you to apply to join our team in Manhattan.Requirements: As a data scientist for Rose, candidates will be aggregating data.Candidates will also be automating pipes for data ingestion.Bachelor's degree in IT, computer science, mathematics, or other related field preferred.Enthusiasm for data analysis required.Confidence in sharing your original ideas required.Ability to draw conclusions from data required.Ability to create visuals using different coding libraries required.Our culture is one of openness, accountability, and drive. Join us if you are inquisitive, open-minded, and ready to be part of the data revolution.Job Type: Full-timeSalary: $80,000.00 to $100,000.00 /hourExperience:data science: 1 year (Preferred)analytics: 1 year (Preferred)Location:Manhattan, NY (Required)Work authorization:United States (Required)Work Location:One locationSchedule:Monday to Friday" Data Scientist I - Agent Analytics,"San Francisco, CA 94102 (Downtown area)",Zillow Group,"About the team Zillow Group is currently seeking a Data Scientist to join the Agent Analytics team in our San Francisco office. Our team is tasked with absorbing billions of rows of data from dozens of sources, organizing them, analyzing them, and visualizing them to help inform both short- and long-term decision-making. Below are some of the areas in which our Data Scientists focus their energy. Business. Build insights from data to fuel the future of Zillow Group’s Agent business. Find opportunities for innovation and assess performance of current initiatives. Product. Measure user engagement and impact of product initiatives on metrics and influence our product roadmap. Develop models that drive product features and experiences. Tools. Build data-focused information products from billions of data points we collect every single day for internal and external clients. About the role You will work to make meaningful, strategic decisions that influence the direction of the company. More specifically: Dive into Zillow's internal and third party data to make strategic recommendations (e.g., more accurate forecasts, opportunity sizing of a product initiative, understanding business drivers). Assist in the prioritization and development of new product features and business initiatives. Compile and analyze data describing the performance of those initiatives. Tell stories that describe analytical results and insights in meetings of all sizes with diverse audiences. Consult with business partners and provide insight to a variety of non-technical audiences to ensure that all levels of Zillow Group make decisions based on data. Who you are You will develop a deep understanding of our mission, business models, and personas. We want you to find opportunities for growth and cultivate insights from our massive data sets. We're looking for a top-tier data scientist who has: An undergraduate or Master's degree in a quantitative field (e.g. science, engineering, economics, finance, statistics, or similar) or demonstrable experience within data science and analytics. 2+ years of work experience involving quantitative data analysis and complex problem solving. Foundational analytical skills (proven understanding of SQL and experience using Python and/or R) and a Tableau pro. Strong written, verbal, and visual communication skills to concisely communicate in a way that provides context, offers insights, and minimizes misinterpretation. Get to know us Zillow Group houses the largest portfolio of real estate brands on mobile and the web. We are on a mission to rewire the real estate transaction and are building transformational tools and services that make it easier for everyone to find and get into a home they love. We are working to create an on-demand real estate transaction experience for every stage of the home lifecycle - for buyers, sellers, renters and borrowers - and we're well on our way. No matter what job you're in, you will play a critical role in making this vision a reality for millions of people. At Zillow Group, we're powered by our inclusive work culture, where everyone has the support and resources to do the best work of their careers. Our efforts to streamline the real estate transaction is supported by our passion to empower people and enrich lives around everything home, a deep-rooted culture of innovation, a fundamental commitment to Equity and Belonging, and world-class benefits. But, don't just take our word for it. Read our reviews on Glassdoor and recent recognition from multiple organizations, including: Fortune 100 Best Companies to Work For (#69), Fortune Best Workplaces for Diversity (#38), Fortune Best Workplaces for Parents (#31), Fortune Best Workplaces for Women (#20), Fatherly's Best Workplaces for New Dads (#37), JUST Capital 100 Company (#69), Bloomberg Gender Equality Index constituent. Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. See what information we collect about you." Sr Data Scientist,"Hartford, CT",Nava Software Solutions LLC,"NAVA Software Solutions is looking for a Data Scientist for a Contract opportunity for our client in Hartford, CT Title: Data Scientist Location: Hartford, CT Exp: 7-10 yrs Start Date: ASAP Duration: 12 months Skills Required: SQL,R,SAS,Python Qualifications: Strong desire to grow a career as a Data Scientist in highly doing data analysis and machine learning on terabytes and petabytes of diverse datasets. Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement. Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. Strong software development skills. Strong verbal and written communication skills. Experience with or desire to learn: Required: Machine learning and other advanced analytical methods Required: Fluency in Python and/or R Required: pySpark and/or SparkR and/or SparklyR" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Data Scientist, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of environments (including various databases, Linux servers, and Hadoop). You’ll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment.Expected Qualifications: Bachelor’s degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree strongly preferred 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analytics Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc. Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc. Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) Excellent communication skills Passion for extracting hidden insights and building machine learning systems that enhance business outcomes About GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist - Responsible AI,"New York, NY 10017 (Midtown area)",Facebook,"The Responsible AI Analytics team measures models across Facebook to ensure that they are built in a principled way. We work closely with Research Scientists and Ethicists to build methodologies and tools for analyzing models. We then collaborate with the product teams who build production models to investigate their systems and find opportunities to make them work better for people. We are looking for a strong statistical thinker to be responsible for our Algorithmic Fairness metrics. We are tracking how models perform on different sensitive groups of people, and want to scale these measurements across the entire company. This role will determine how we define these sensitive groups, what the error of those definitions are, and how that affects our fairness metrics. It will also work on making theoretical measures of fairness scalable and viable. DATA SCIENTIST - RESPONSIBLE AI RESPONSIBILITIES Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products. Define problems and opportunities in a complex or ambiguous area. Inform, influence, support, and execute our product decisions and product launches. Partner with Product and Engineering teams to solve problems and identify new levers to improve user experience. Monitoring key product metrics, understanding root causes of changes in metrics. Influencing product teams through presentation of data-based recommendations, and clearly communicating state of business, experiment results, etc. to product teams. MINIMUM QUALIFICATIONS Advanced degree in Computer Science, Engineering, Math/Statistics, Physics, Economics, or equivalent practical experience. 7+ years experience solving analytical problems using quantitative approaches. Experience in SQL or other programming languages. Understanding of statistics (e.g., hypothesis testing, regressions, ML systems). Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product. PREFERRED QUALIFICATIONS Experience in machine learning, deep learning, statistical analysis, or social network analysis. Development experience in any scripting language (Python, R, etc.). Experience with distributed computing (Hive/Hadoop). Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com." Data Scientist,"Nashville, TN 37211",Quovant.com,"Quovant is seeking a Data Scientist to serve in a full-time capacity, contract to hire or contract assignment role. The successful candidate will lead several machine learning and business intelligence projects to support our legacy applications and report directly to the SVP of Product. Ideally, the candidate will reside or relocate to Nashville, TN; however, remote work will be considered.Quovant’s machine learning initiatives consist of supervised learning projects involving both text and numerical data. The candidate must possess proven sampling theory as well as knowledge of the necessary statistical theory to create a highly functioning model. The business intelligence projects will require the candidate to create the requisite predictive models to accurately forecast client’s risk.Our ideal candidate will have mid to senior level skills as a Data Scientist with a proven project portfolio creating commercial machine learning solutions. Since you will be leading the project you must be a self-starter and passionate about discovering the truth in our data. We’ll expect a lot in a short time so you must be willing to learn quickly, work hard and produce at a high level. We’ll help you climb the learning curve—are you up for the challenge?Responsibilities· Determine optimal sample size and characteristics for training data to minimize under/over sampling· Direct experience with data modeling tools to ensure well balanced classes· Thorough knowledge of feature engineering including stemming and lemmatization· Text representation using vectors· Proven knowledge of various machine learning classification models· Work with development team to assist testing and implementation of production modelRequirements· BA/BS degree in data science or equivalent experience· Proven experience creating commercial machine learning applications· Mid to senior level skill with Python or equivalent· Thorough understanding of Sklearn or equivalent· Working knowledge of relational database technology and SQL· Working knowledge of report writing, BI toolsCandidate will be required to take an assessment test, be subject to a background check and have at least three professional references that can tell us how great you are.In return, we offer a work environment where you’ll thrive if you’re up to challenge and you’ll have a lot of fun. We don’t tolerate office politics—climbing the ladder here is based purely on work product. We offer great benefits with a competitive salary commensurate with your experience.Job Types: Full-time, ContractContract Length:VariesContract Renewal:LikelyWork Location:One locationFully RemoteBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offSchedule:Monday to Friday" Data Scientist,"Jersey, GA",Codersdata,"Job Summary**Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.Good experience of relational database systems & using SQL/stored procedures to extract data.Expertise in processing large datasets for data transformation like data cleansing, scrubbing, profiling.Interpreting, filtering, cleaning and analyzing data using advanced Excel, Access and SQL.Working with data structures and algorithms.Work with management to prioritize business and information needs.Locate and define new process improvement opportunities.Responsibilities and DutiesCurrent Data Scientist Job RequirementsData Scientist Qualifications That Companies Look for in a CandidateData Scientist Roles and Responsibilities: AnalyticsCollaborationBusiness UnderstandingStrategy/DesignQualifications and SkillsProgrammingStatisticsMachine LearningLinear Algebra and CalculusData VisualizationCommunicationData WranglingSoftware EngineeringData IntuitionBenefitsTransparent and Flexible compensation policy.Relocation charges will be provided to you during your project migration.Accommodation arrangements will be provided for one week in client’s place unless you get your own arrangements.Travel expenses would be covered for all face to face interviews anywhere in the USA2 weeks of yearly paid vacation will be provided.Health and medical benefits will be provided during projects which include: Medical, Dental and Vision benefits after 60 days of employment.Short term and long-term disability after 60 days of employment.On-job technical support during the project.Free Skill development programs according to the projects need.Job Types: Full-time, ContractSalary: $60,000.00 to $75,000.00 /yearEducation:Bachelor's (Required)Additional Compensation:Other formsWork Location:One locationBenefits:Health insuranceDental insuranceRelocation assistanceOther" Clinical Data Scientist,"Boston, MA",ICHOM,"Title Clinical Data ScientistLocation Based in Boston, USA or London, UKReporting Directly to ICHOM Technical Project LeaderICHOM is a not-for-profit committed to transforming healthcare to a value-based system through universal measurement and reporting patient outcomes. ICHOM builds global flagship programmes - developing, maintaining and implementing Standard Sets, collecting & benchmarking patient data. Standard Sets are created by groups of global experts including patients and doctors. The development of advanced data analytics will allow stakeholders to compare patient outcomes across the world. ICHOM is a small but ambitious organisation with offices in Boston and London (see ICHOM.org)ICHOM now seeks a Clinical Data Scientist who will focus on supporting the digitalisation of our Standard Sets. We are looking for a passionate, skilled and experienced person with deep expertise from clinical data science and with a determination to make a real difference to patients’ lives. You will be a team-player who enjoys working flexibly in a small, committed group.Technical skillsA thorough understanding of health informatics, acquired either in industry or academia (MSc level or above) strongly preferred.Health data interoperability:Familiarity with the challenges associated with achieving interoperability of health data; preferably acquired in applied settings, such as with a healthcare provider or in industry.*Detailed clinical information/data modelingWorking knowledge of relevant methods, formats and standards for developing information models/logical models for health-related data. Examples include Clinical Element Models, Archetype Definition Language (ADL), OpenEHR and clinical information modeling platforms such as Art Décor.Healthcare IT (HCIT) integration experienceWorking knowledge from developing common data models (CDM) and extract-transmission-load (ETL) architectures to map health data from an array of source systems (e.g. EHR, claims etc.) to a CDM.Working knowledge of relevant methods for data transmission, including formats and standards such as FHIRÒ, HL7 v2/3/CDA messaging.Thorough understanding of HCIT usability frameworks and an end-user centric mindset.Medical reference terminologies and terminology bindingWorking knowledge of common reference terminologies and classification systems such as LOINC, Snomed CT, ATC and ICD10.Working knowledge of tools and workbenches for terminology binding such as RELMA, Snomed CT browser etc.Data engineering & structuresThe applicant is expected to have strong skills in basic data structures such as SQL, JSON and XML, and the ability to freely translate between them. While the workbench used for data manipulation might be somewhat flexible, the current code base is written in Python, which is therefore strongly preferred.Good working knowledge of Git and GitHub, to maintain and ensure version handling and availability of the reference information model.Strong candidates will have experience from front end dashboard development. Relevant tools can include Python’s Dash library, or even better React or similar interactive UI functionality.Experience from developing and designing architecture and pipelines for serializing data from source clinical data systems into common data models (CDM) that facilitate distributed analytics.**Epidemiology and health outcomes researchWorking knowledge of epidemiologic or biostatistical analysis. Demonstrated proficiency in executing such analyses (e.g. through published academic papers) is desired.Basic to intermediate understanding of cost-effectiveness analysis or decision science.**CommunicationFull proficiency in written and spoken English.Evidence of strong written communication skills, such as from published academic papers, technical reports etcTravel: The role will involve frequent international travel.Application: Please submit a CV and a 1-page covering letter. The applicant must be prepared to offer references from earlier positions*Job Types: Full-time, Contract" Data Scientist,"Ashburn, VA 20147",Maxiom,"We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities Identify valuable data sources and automate collection processes Undertake to preprocess of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modelling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements Proven experience as a Data Scientist or Data Analyst Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred" Data Scientist - Experimentation,"Seattle, WA 98103 (Fremont area)",Getty Images,"Getty is embarking on its next wave of innovation in visual storytelling and how to put the perfect image or video in our customer’s hands, be it for a society-changing headline or a brand’s next big campaign—truly moving the world with images. We are looking for a talented and creative Data Scientist to help optimize Getty Images search experiences. This is a high-impact position where you will guide product strategy through experimentation (ex: A/B, multi-armed bandit, etc.). Your passion for experimentation, applied statistics, and data-informed decisions will impact over 50 million unique visitors from almost every country in the world, with a direct tie to Getty Images' revenue. You will be responsible for developing new experimentation methods, designing tests, analyzing results, and understanding our customer needs to improve our experimentation best practices to accelerate our rate of learning. In partnering with product, other data scientists, and engineers, you will help define success and our testing strategy. What you’ll be doing:Design and execute our online experiments (ex: A/B tests, multi-armed bandit, etc.) that help us improve and fine tune our data focused features, algorithms/models, and products (ex: Search)Work with product managers, engineers, other data scientists, and partner teams to frame experimentation problems, both statistically and within the business contextWork with engineering teams to improve data collection procedures to ensure integrity of the dataCollaborate with engineering teams to improve the experimentation pipeline and platform.Proactively perform data exploration on user behavior to discover future testing opportunitiesPresent metric development, testing methodologies, and experimentation results to technical and non-technical stakeholders, clearly and concisely We’d love to hear from you if:Extensive knowledge in statistical methods and data miningExcellent application skills in experimentation methodologies (A/B, multi-armed bandit) and causal inferencesExperience with common data science toolkits, such as R/Python and libraries like pandas, stats models, scikit-learn, tidyverse (dplyr, ggplot2, etc.)Proficiency in using query languages such as SQL and Hive.Experience with Big Data systems and distributed computing, such as Hadoop and SparkStrong product senseA Ph.D. or MS in Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences or any other equivalent quantitative field is preferred. If you are self-taught and believe you are a good fit for this role, or have significant work experience, we would love to hear from you as well. Who We Are:Getty Images is the most trusted and esteemed source of visual content in the world, with over 200 million assets available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first place people turn to discover, purchase and share powerful content from the world's best photographers and videographers. Getty Images works with over 200,000 contributors and hundreds of image partners to provide comprehensive coverage of more than 130,000 news, sport and entertainment events, and impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. Getty Images is the starting point for our customers imagery search. Customers are confident that they are going directly to the best source of content, and that Getty's search engine will surface only the most relevant content to them and have the tools they need to refine and explore creatively. Our customers will be able to communicate effortlessly with Getty Images, in their quest to find the right imagery. Using text, voice, or visual channels, they will have the ability to describe their content needs creatively and thoroughly. Getty Images' search will eliminate the barrier that exists between a creative art director and a technical researcher.Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs." Data Scientist,"Athens, OH",Ohio University,"Data Scientist THIS IS A GRANT-FUNDED POSITION. EMPLOYMENT IS CONTINGENT UPON CONTINUED FUNDING FROM THE GRANT PROVIDER. The George V. Voinovich School of Leadership and Public Affairs at Ohio University is seeking an enthusiastic and flexible Data Scientist who will assist a multidisciplinary team of faculty, professional staff, and students with applied research, data analysis, project management, oral presentations, report/grant writing, and related tasks in the areas of energy policy and economic development. This position will contribute to and support applied and original economic research in line with the Voinovich school’s mission of providing research-based solutions to challenges existing in communities, the economy, and the environment with a particular focus on Appalachian Ohio. Research topics include but are not limited to community and economic development, education, energy, health, and housing. This research will inform policy discussions and help develop innovative and effective responses to local, regional, and national shifts in policy, need, and opportunity. The ideal candidate will collect data as needed by either scraping websites or by building queries using programming languages such as Python and SQL. In addition to familiarity with multiple data collection methods, the position will build tools and web applications to provide interactive access to data and results produced during project work. The position will also engage in data analysis, assisting in the preparation of publications, and grant proposal preparation and writing. Applicants may contact this person if they have questions about this position: Dr. Christelle Khalaf, ckhalaf@ohio.edu Minimum Qualifications A PhD in Economics, Operations/Supply Chain, Statistics, Mathematics, Computer Science, Information Systems or related field is required. However, we will also consider applicants with a Master’s degree in one of those fields AND at least three (3) years or more work experience in this type of job. U.S. driver’s license, ability to travel, ability to work evenings and weekends. Excellent organizational, interpersonal and communication skills, analytic abilities, and detailed orientation. Proficiency using a variety of software applications including, SQL, Python, and Microsoft Office suite applications. Preferred Qualifications" Freelance Lesson Writer for Mathematical Questions,Remote,"National Training Network, Inc.","NATIONAL TRAINING NETWORK JOB DESCRIPTION Freelance Lesson Writer Position Title: Freelance Lesson Writer for Grades 3-8, Algebra 1, Geometry and Algebra II Create lessons that address the CCSS for Mathematical content or other state standards in style and format.Lessons will contain student pages with answer keys and teacher direction pagesLesson approach is exploration and building conceptual understanding of mathematics.Lesson elements include: exploration with concrete and pictorial representations, cooperative learning activities and experiences, authentic real-world application problems, and assessment questionsLessons will demonstrate an understanding of the mathematical concepts and the ability to present the information, in written word, in a way that provides access to all learners.All lesson submissions will be checked for plagiarism to avoid legal complications.All lessons become intellectual property of National Training NetworkRequirements:Experience as a lesson writer including:o Proficient with Microsoft word in writing and grammatical conventionso Use of graphics within Word (charts, graphics, tables, graphs, grouping elements, decimals, creating geometry elements including angles and shapes)o Access to and use of MathType for fractions and equationsWhen writing lessons the following will be provided:Lesson templateFramework with lesson parts and parameters of each part defined (Example: number of questions for assessment)For more information on lesson format, please visit this link: http://ntnmath.kemsmath.com/Level%20E%20Teacher%20Notes/Level%20E%20Lesson%2017%20Teacher%20Notes.pdfPlease provide a sample mini lesson (3-5 pages) on CCSS 3.NF.3b (Equivalent Fractions), CCSS 7.NS.1c (Subtraction of integers), or CCSS F.IF.8b (Properties of Exponents), that incorporates building conceptual understanding of the concept and cooperative learning. This mini-lesson should include the student activity pages as well as the teacher directions.Compensation: Per Lesson TBDJob Type: ContractSalary: $500.00 /weekWork Location:Fully RemoteBenefits:NoneThis Company Describes Its Culture as:Detail-oriented -- quality and precision-focusedInnovative -- innovative and risk-takingOutcome-oriented -- results-focused with strong performance cultureTeam-oriented -- cooperative and collaborativeSchedule:Other" Computational Biologist/Data Scientist,"San Diego, CA",Sinopia Biosciences,"Sinopia Biosciences is a clinical stage biotechnology company located at JLABS (Johnson & Johnson Innovation) in San Diego, CA. Sinopia is focused on developing machine learning and computational drug discovery technologies that improve the safety and efficacy of life-changing therapeutics. The company develops and applies proprietary machine learning, systems biology, and bioinformatics tools to identify the molecular mechanisms of major drug classes and to advance novel therapeutics to pre-clinical and clinical proof-of-concept studies, in CNS, oncology, and immunology. These solutions drive a powerful new paradigm wherein computational approaches are used to accelerate biological discovery and development across the life sciences. Sinopia is dedicated to advancing the frontiers of biological discovery and development in medicine, improving existing therapeutic products, and enabling business opportunities for the company and its partners. Position Summary Sinopia is seeking a highly motivated and independent individual with extensive expertise in computational biology, bioinformatics, and machine learning to join our team. This individual will play a key scientific role in expanding Sinopia’s computational platform and aiding in designing the implementation of follow-up validation studies. They will leverage new computational strategies and disparate data types to discover novel interventions for unmet medical needs. Requirements MS or PhD in Bioinformatics, Computational Biology, Computer Science, or Systems Biology with 0 - 3 years of relevant experience in an academic or industry setting (new PhD grads are encouraged to apply) Strong background in implementing and developing machine learning algorithms Background in developing and implementing pipelines for analyzing high-throughput “omics” datasets (such as genomics, transcriptomics, metabolomics, or proteomics) Experience with developing data infrastructure and software; experience programming in Python, R, and/or C/C++ Excellent verbal and written communication and presentation skills Strong quantitative and problem solving skills Must be detail-oriented, highly organized, and efficient Preferred Experience with network and/or systems biology techniques Experience with cloud computing and large-scale parallelization Experience with drug response and pharmacology" Innovation Data Scientist,"Concord, CA",Swinerton Builders,"Identify and analyze ways for data to enhance and drive new construction services, support new and more profitable revenue, drive projects moving through innovation pipeline. Job Description: JOB DUTIES AND RESPONSIBILITIES Leverage Data to predict Construction outcomes Drive strategic data research and analysis that will identify and evaluate opportunities to build new business capabilities at Swinerton Proactively anticipate obstacles or areas of concern and help identify potential solutions Coordinate transfer of research, prototypes and improved processes to the business customer This position will leverage Swinerton data, public/private data, as well as opportunities to capture new data Strong written and verbal communication skills; experience presenting with executive level audiences Experience with a variety of data types and data qualities. Use advanced analysis techniques to research, design, and develop solutions Engage and evaluate potential partners, vendors, technologies, etc. Develop business cases, including market sizing, pricing and revenue ramp-up's, run / operate cost estimates, and profitability analyses Design and conduct pilots to validate Lead project reviews with service line and executive leadership; develop presentations and communicate recommendations Other responsibilities as assigned MINIMUM SKILLS ANS EXPERIENCE Bachelor’s degree in Statistics, Economics, Mathematics, Physics, Economics, Operations Research, or other related field Strategic, analytic and creative thinker Strong understanding of acquiring, analyzing, and manipulating data to answer questions Ability to multi-task and prioritize Ability to work well in a team environment, as well as, independently Financial Analysis capability Technical - the tools needed to be successful If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Data Scientist, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of environments (including various databases, Linux servers, and Hadoop). You’ll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment.Expected Qualifications: Bachelor’s degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree strongly preferred 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analytics Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc. Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc. Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) Excellent communication skills Passion for extracting hidden insights and building machine learning systems that enhance business outcomes About GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Data Scientist - Intermediate,"Creve Coeur, MO",Infotree Global,"Job Summary******************** only W2,no C2C ***************Description:We have an opportunity available for Remote Sensing Data Scientist to join our team. Our team works directly with scientists to develop software platforms that enable cutting-edge research and development to revolutionize plant breeding and biotechnology, optimize supply chain operations and deliver the best customer experience.The successful candidate will use the latest innovations in remote sensing and machine learning to propose software solutions to optimize supply chain operations. The Remote Sensing Data Scientist will design and test algorithms, conduct prototyping to evaluate possible scenarios leveraging computational and statistical techniques for the development of novel approaches for remotely sensed data.- MUST HAVES: Solid background in Remote Sensing, statistics and pythonprogramming.Required Skills:Ph.D. (or MS with 4+ years of post MS experience) Geostatistics, Computer Science, Electrical Engineering, Physics, Mathematics, Statistics or an Analytics disciplineProficiency in Python or in another high-level programming languageExperience in developing statistical, and machine learning models for environmental and agronomical applicationsProficiency with image processing and/or computer vision algorithmsExperience analyzing and presenting complex data and proven problem-solving abilitiesStrong publication record in leading scientific journalsStrong organizational, interpersonal, and written communication skillsDesired Skills:Experience working with agricultural/biological scientific data is highly desiredDrive for translating business problems into research initiatives that deliver business valueCreativity in defining challenging exploratory projectsJob Type: ContractSalary: $70.00 /hourContract Renewal:LikelyWork Location:One location" Data Scientist,"Long Beach, CA 90802",Coverance Insurance Solutions Inc,"At Coverance Insurnace Solutions, Inc we're looking for a full-time Data Scientist. If you've ever wanted to work for a startup that's working on next-generation software, this could be your dream job! We Want People That Want to build software that enhances our knowledge so we can provide better solutions to peoples’ day-to-day lives. You should know proof-of-concept development, and be able to put models and solutions into a production environment. Software architecture and machine learning experience (clustering algorithms, CF/recommendation engines, deep learning, NLP) are equally important. This is an exciting opportunity with a lot of room for creativity, ownership, and upward mobility. Must Have: Professional usage of Python (experience with scikit-learn/pandas/numpy) Comfortable in a unix/linux development environment Basic Usage / Experience with both relational databases and key value stores Engineering level understanding of Machine Learning algorithms Experience with AWS or a similar laaS provider Some experience with NLP Experience with recommender systems Will I Like Working at Coverance Insurance Solutions? We think so. If you like tackling difficult problems and working with smart people, you'll feel right at home here. On top of that, we work hard to make sure the company culture is strong and welcoming, and that the work arrangements are flexible enough to work for you. Competitive Compensation: We value our team members and will offer you meaningful compensation for your contributions. Great health, dental and vision insurance. 401K Flexible PTO: We trust you to get things done and take the time you need to recharge. New hardware to get the job done." Data Scientist - Uber Eats (NYC),"New York, NY 10018 (Clinton area)",Uber,"At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together. About the Role Are you interested in working at the intersection of applied quantitative research, engineering development, and data science? Do you have an interest in developing and applying quantitative solutions uniquely challenging problems on Uber Eats? If so, then this is the job for you. What you'll need We are looking for people with advanced quantitative degrees who are comfortable enough with research methodologies that they can address abstract business and product problems with extreme precision, and who have the enthusiasm and initiative necessary to deliver those answers at Uber's fast pace. You should also have demonstrable programming skills and be comfortable with the engineering development process. Must have 1+ years industry experience outside of academic or internship setting. Superb quantitative background (e.g. statistics, math, machine learning, operations research, economics, EECS, etc.): Graduate degree required and PhD preferred. Prior research, data science modeling, or engineering experience in the aforementioned domains Familiarity with technical tools for analysis - Python (with Pandas, etc.), R, SQL, etc.; previous software engineering background a plus Research mindset with bias towards action - able to structure a project from idea to experimentation to prototype to implementation Passionate and attentive self-starters, great communicators, amazing follow-through - you have a great work ethic and love the responsibility of being held accountable for the results Candidates currently enrolled in a Ph.D. program should apply directly to 2020 PhD University Graduate - Data Scientist - Uber Eats (New York) or 2020 PhD University Graduate - Data Scientist - Uber Eats (San Francisco) About the Team Uber Eats Data Scientists help solve the most challenging problems related to Uber's ambitious and rapidly expanding on-demand food delivery businesses, which currently operates in more than 45 countries globally and is the largest outside of China. These fascinating and difficult problems include personalized search and recommendation for restaurants and dishes, travel and food preparation time prediction, text mining and natural language processing, demand and supply forecasting, growth and spend optimization, dynamic pricing, dispatch and routing optimization, and many more. Below is a list of sub domains within the team: Restaurant (NYC) | The restaurant team aims to increase restaurant selection on Uber Eats while setting up restaurant partners for success. We leverage statistics and machine learning techniques to optimize the experience of restaurants at different life cycles. From onboarding, to menu creation, marketing, and order experience, we empower them with tools to increase demand and maintain a frictionless interaction with the platform. Marketplace - Logistics and Marketplace Intelligence (NYC) | From dispatch and routing optimization to predicting food delivery time, the Logistics and & MI team provides DS solutions to create the best customer experience on all sides of the Eats marketplace in the most efficient way. The team also provides marketplace management solutions using state of the art machine learning techniques and our dispatch simulator." Data Scientist Intern,"Orlando, FL 32825",LOCKHEED MARTIN CORPORATION,"Performs exploratory research and analysis to identify novel and meaningful patterns in data and uses statistical methods to reject or accept proposed hypotheses about relationships or latent predictive factors discovered through their work to provide business value. Uses a combination of tools, technologies, and numerical computing systems (i.e.: GPU processing, distributed computing, highly parallel coding, cloud computing, machine learning, visualization, system modelling and simulation) to achieve results. Areas of expertise should include several of the following: applied statistics, text mining, natural language processing, deep learning, optimization, and other similar fields.Basic Qualifications:Work on datasets with applied statistics and machine learning algorithmsUse exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and discover opportunities in datasets to support decision-makingDevelop predictive models and new algorithms to solve data / business problemsUnderstand the math and statistics behind the models and interpret, extrapolate, and prescribe from data to deliver actionable recommendations using effective visualizationsVisualize and communicate findings and provide a quantitative framework for evaluating and analyzing alternatives Desired Skills: Foundational understanding of a broad set of tools to be able to apply the right tool to each data exploration activity. Tools could include, for example:Descriptive and Predictive modelingMachine Learning (supervised and unsupervised)Advanced statistics and statistical modelingTime series analysis and forecastingOptimization and simulationCommunication, story-telling and visualizationDistributed computing (Hadoop)Importing, cleaning, and transforming datasetsData warehousingCritical thinking & problem-solving skillsData preparation and transformationLanguages: Python, Pig, Hive, Spark, SQL BASIC QUALIFICATIONS: job.QualificationsLockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They’re dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.EXPERIENCE LEVEL: Co-op/Summer Intern" Junior Data Scientist | TS/SCI,"Springfield, MA",Connect Talent Solutions,"As a Junior Data Scientist, you will work as part of a small team of data engineers, database developers and visualization specialists to analyze large sets of structured data, looking for anomalies and undiscovered correlations. You will combine analytic, Python, and R skills to discover and solve data problems obscured to the layman by the sheer volume of data, apply fuzzy matching and statistical analysis to find and deal with inaccurate data points or missing data, and work with data providers to correct their input feeds. You will use a variety of tools to profile and visualize data, developing reports, dashboards, and repeatable analyses for leadership.Job Responsibilities: Perform deep dive analysis into data sets and reports to identify problems or suspected issues with collected data. Analyze business operations requirements for data, evaluate existing data quality, and recommend improvement opportunities. Analyze output products to assure data quality and conformance to requirements. Participate in continuous improvement efforts to increase available data quality and speed of delivery. Participate on an Agile development team, using Scrum techniques, as a contributing development team member. Qualifications Bachelor’s degree preferred, however, adequate work experience and training will be considered for a stellar candidate. Agile development certifications preferred.TS/SCI clearance required Desired Core Skills: Good Python Scripting SQL Scripting MS Excel (e.g., vlookup, pivot tables , etc) Time management skills and the drive to work with limited supervision within a small team Ability to manage priorities across multiple project tasks Preferable Secondary Skills: Familiarity with Agile Scrum methodologies Experience with analytic tools like Tableau, Kibana, or Alteryx, Experience with relational databases like Postgres, SQL Server, Oracle, or MySQL Jupiter Notebook R Studio Connect Talent Solutions is an Equal Opportunity Employer-Minorities/Females/Veterans/Individuals with Disabilities. Individuals with disabilities, including disabled veterans or veterans with service-connected disabilities, are encouraged to apply. Job Location: Springfield, VA" "Data Scientist, Workforce Analytics","Burbank, CA",Warner Bros. Entertainment Group,"Company Overview WarnerMedia is a leading media and entertainment company that creates and distributes premium and popular content from a diverse array of talented storytellers and journalists to global audiences through its consumer brands including: HBO, HBO Now, HBO Max, Warner Bros., TNT, TBS, truTV, CNN, DC Entertainment, New Line, Cartoon Network, Adult Swim, Turner Classic Movies and others. Warner Media, LLC and its subsidiaries are equal opportunity employers. Qualified candidates will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. Business Unit Overview HR Services provides payroll, travel and expense, human resources, HRIS, IT and benefits administrative services to the Warner Bros. Entertainment Group of Companies. Opportunity Overview The Job We are looking for a talented data scientist to join our Workforce Analytics function and will be responsible for predictive modeling and analysis of workforce data, to support our HR team to meet their goals and objectives. As a data scientist, you are expected to formulate the questions that will help business and then proceed in solving them, and make independent decision on what tools, technology, methodology to apply to the work. You are also expected to build statistical models and advanced programming based on the business understanding. Data scientist is a someone who combines business understanding, data handling, programming, and data visualization skills to drive better business results.The DailyResponsible for developing statistical and machine learning solutions to identify WB overall and cross-business unit talent opportunities. Designing and implementing solutions utilizing a large array of know-how areas within analytics e.g. generalized regression, decision tree, non-parametric; and machine learning, e.g., gradient boosting, random forest, neural networks, clustering, pattern recognition. Communicate and present findings and recommendations to senior leadership team with WB, i.e. CHRO, HRLT, CFO. Provide input and guidance to the acquisition of data, partner opportunities and analytical competencies to strengthen Workforce data related capabilities. Provide guidance and assign work to junior data analysts.The EssentialsBachelor or higher degree in engineering or quantitative discipline, or equivalent combination of training and work experience. Minimum 2 years of Experience in advanced data mining techniques and tools such as R and Python, and familiar with manipulating large-scale structured and unstructured data. Minimum 1 year of experience with data visualization tools such as Tableau or Power BI. Proficient with statistics, data modeling, and analysis. Experience with SQL, relational database, database management. Experience in transforming goals/requests into a visual story to help end users identify areas of strength and opportunities for improvement. Consulting experience with a management consulting/software company preferred. Experience in HR system transactions preferred. Experience in process improvement, and finance/accounting preferred. Proven analytical skills with strong attention to detail. Strong technical aptitude and ability to learn quickly through instruction and self-training. Understands the functional and technical details, but can think strategically. Can be effective across disparate environments and work teams. Ability to manage priorities across different projects. Advanced skills in data analysis using database, spreadsheet, reporting software. Strong leadership and communication skills. Strong interpersonal & relationship building skills. Excellent time and project management skills with the ability to work efficiently under tight deadlines. Comfortable in a dynamic environment. Able to identify needs, develop a plan of action and implement. Comfortable with ambiguity. Self-starter who can think creatively and look for/develop elegant & viable solves for real world problems. Utilize discretion and judgment to maintain confidentiality of sensitive data. Desire to constantly improve and learn. Ability to work on a diverse scope of projects requiring detailed data analysis. Must be a supportive team member as an active participant and contributor. Must have an exploratory mindset. Must be solution oriented with the flexibility to work in a dynamic environment. Must have excellent time management skills to perform in a fast-paced, high pressure, high volume environment. Must have strong interpersonal skills with excellent written and verbal communication skills. Must have strong attention to detail (excellent quality of deliverables). Must have the ability to tailor communication and messaging with varying levels of the organization. Must be able to reason through issues and resolve problems and work well under time constraints. Must be a team player and be flexible. Must be a motivated, confident self-starter." Data Scientist,"New York, NY",Research Foundation of The City University of New...,"Job DescriptionGeneral Description ISLG is an institute within the City University of New York. The Institute’s mission is to help achieve improvements in the financing, delivery, and measurement of critical public services by assisting current and future leaders in government, non-profit organizations, and the private sector, in the U.S. and internationally, by offering research, technical assistance, and education and training. The Institute’s director, Michael Jacobson, previously served as New York City’s Probation and Correction Commissioner and president of the Vera Institute of Justice. Project Description ISLG is hiring a Data Scientist to process and manage large amounts of data in support of the Safety and Justice Challenge (SJC), a $100 million initiative funded by the John D. and Catherine T. MacArthur Foundation to reduce over-incarceration by changing the way America thinks about and uses jails. To date, the Foundation has awarded grants to approximately 30 jurisdictions to implement strategies across the criminal justice system that will reduce jail populations and racial and ethnic disparities. ISLG provides data, measurement, and analytic support to these jurisdictions, using case-level administrative data that is collected from a range of criminal justice agencies in each sites. Among ISLG’s responsibilities is collecting, cleaning, validating, and managing all of this data in support of our work and the Challenge’s broader research and evaluation agenda. The Data Scientist may have opportunities to work in a similar capacity on other projects at the Institute. Position Description ISLG is looking to hire a Data Scientist for the SJC team that will focus specifically on processing and managing the administrative data that is submitted by sites. The Data Scientist will report to a senior researcher and will work closely with other project staff—and in particular, will work with project staff to translate their practical data and analysis needs into programming work. Specifically, the Data Scientist will support project team members through the following activities: Writing programing and syntax to: Import, validate, normalize, merge, restructure and clean case-level administrative data files for analysis Auto-populate reports and create data feeds Create dashboards (including interactive dashboards) Support the creation of data visualizations Creating and maintaining a system for organizing and managing data files Working closely with SJC project team members to ensure that technical work is informed by an understanding of local criminal justice processes Serving as a technical consultant to sites and partners, as needed, which may include: Extracting data from data warehouses and other back-end systems, as needed Conducting data and systems reviews as needed As needed, conducting quantitative analysis of the files that are created Maintaining detailed documentation on all data management decisions and technical work Developing codebooks, file specifications, and other resource documents Potentially traveling to sites, as needed Other DutiesQualifications MA or PhD in computer science, data analytics, data science, data/information management, business, or other related field At least two years of experience (four or more years preferred) doing data management/programming work in an applied research setting Experience working with administrative data (experience with criminal justice data a plus) Excellent data management and analysis skills, including extensive experience cleaning, coding, merging, and analyzing large and complex quantitative data files in Python, R, and/or SQL (experience with SPSS, SAS, and/or STATA is also helpful) Experience with data transformation algorithms Strong critical thinking skills, including an ability to translate practical project requests into technical work that is needed to meet them An ability to discuss technical work with project members in an accessible manner A basic understanding of the criminal justice system is a plus, but not a requirement An exceptional commitment to accuracy and attention to detail An ability to work on a team, as well as independently This is a full-time position with excellent benefits and is located in New York City. Salary range: $60,000–$110,000, depending on research skills and level of experience. How to Apply To apply, please visit rfcuny.org. You will need to submit a cover letter describing your qualifications and interests and attach your curriculum vitae. Questions can be addressed to info@islg.cuny.edu. Application review will commence immediately and continue until the position is filled. The CUNY Institute for State and Local Governance and the Research Foundation of the City University of New York are an Affirmative Action/Equal Opportunity/Americans with Disabilities Act/Protected Veterans Status/ E-Verify Employer" Biological Data Scientist,"San Francisco, CA 94143 (Haight-Ashbury area)",University of California San Francisco,"The Data Science CoLab is seeking researchers in computational biology, bioinformatics, and data science to tackle current challenges in immunology. As part of the Data Science (DS) team, you will learn the analysis methods, as well as the conceptual and biological background, to analyze CyTOF and single-cell RNA sequencing data. Once comfortable with these methods, you will perform analyses to contribute to our understanding of immune state in our patient cohorts. You will integrate molecular data with clinical information in an effort to understand how the immune system impacts disease outcomes. You will be expected to document your analyses, present your progress and results, and participate in DS lab meetings. We currently have several projects examining the relationship between immune state and health outcomes in a variety of UCSF patient cohorts, including infection, autoimmunity, and cancer. Our aim is to better understand how the immune system is wired and responds, in order to develop better disease diagnosis and treatments. As a member of the lab, you will contribute to the design of new experiments, help maintain our computational infrastructure, and track the flow of samples and information for large-scale studies. This position is within the Data Science CoLab (dscolab.ucsf.edu). The Data Science CoLab is a collaboration-based research lab that focuses on biological data analysis and computational methods development. We are passionate about data science training for biologists who want to better engage with their data. In addition, we build tools for biologists to store and interact with their data. Our philosophy is that successful data-heavy projects happen by integrating biological understanding and intuition with advanced skills in data science. This can happen by facilitating close collaborations between experimental and computational biologists, as well as by empowering biologists to work with their own data. While this position requires some proficiency in programming and data analysis, the most competitive candidates are those who are fast and eager learners, who can readily adopt new bioinformatics pipelines/workflows that have been developed in the lab and the field at-large and apply them to a series of diverse projects. An aptitude for collaborative work and organization is required to excel in our environment of diverse researchers. The candidate will receive training in data analysis, as well as develop expertise and intuition in biology. This position is ideal for recent graduates and can serve as a stepping stone for a PhD program or career in bioinformatics, computational biology, or data science. Candidates may additionally apply for a spot in the CoLabs Postbac Research Program for additional training. THE COLABS CoLabs is a new model for research collaborations and core labs for the UCSF community. CoLabs brings together several established and successful but previously separate cores plus new institutional support into a new centralized research organization at the Parnassus campus. CoLabs seeks to revitalize the model for core resources by capitalizing on critical personnel and cutting-edge technologies and driving collaboration across disciplines. CoLabs will centralize research teams and create a set of common pipelines and workflows. It will recruit and retain world-class staff and develop transformative methods and technologies through engagement with the research community and institutional investments. The CoLabs initiative is launching now with participation of five founding CoLabs teams, Biological Imaging Development (BIDC), Data Science (DS), Disease to Biology (D2B), Flow Cytometry, and Genomics. The CoLabs will help organize and integrate the UCSF community through common pipelines and data curation around a set of collaborative “CoProjects” that will tackle fundamental questions in the biomedical research. CoProject day-to-day operations are managed and run through the CoLabs. Several CoProjects are already underway, with more coming in line soon. ABOUT UCSF The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences." Associate Data Scientist,"Bothell, WA 98011 (North Creek area)",Puget Sound Energy,"Puget Sound Energy is looking to grow our community with like-minded, top talented individuals like you! With our rapidly growing, award winning energy efficiency programs, our pathway to an exciting and innovative future is now. PSE's IT Application Solutions team is looking for qualified candidates to fill an open Associate Data Scientist position! Job Description Puget Sound Energy is an electric and gas utility which provides homes and businesses throughout the Northwest. In order to meet and anticipate our customers’ needs, our Data Services team is expanding its team to include machine learning and data science technologies. In order to accomplish this we have an urgent need for an experienced Associate Data Scientist to work in our analytical Community of Practice, document internal standards, and to support our functional business areas. Job Responsibilities In addition to leading the development of our community, the Associate Data Scientist will be responsible for assisting with the design and development of an advanced analytical machine-learning-based software framework that can ingest, structure and model large amounts of data in different formats and from different sources, and is capable of learning, assisting and taking the initiative on various data modeling and analytical projects. These efforts may include the development of: Processes and data models that balance human judgment with machine intelligence Machine learning models to classify content in documents Proprietary document parsing and information extraction tools Data models and queries to organize and offer insights for users to help them understand Training models to guide other Community of Practice colleagues Data quality, cleansing and preparation of large structured, semi-structured or unstructured datasets for other groups’ use Standards and Best Practice development Minimum Qualifications Bachelor’s degree in Computer Science, Industrial Engineering, Business Administration or equivalent hands-on experience. General IT experience: 6+ years IT experience, including several years of systems development experience in the design and development of department-wide or enterprise-wide applications. Detailed understanding and 5+ years programming languages (specialized technical requirements as shown in attachment) and strong knowledge of office applications (e.g. Microsoft Office). Possesses full technical knowledge of phases of software development life cycle. Experience with at least two full life cycle implementations of a new application or purchased application. Extensive knowledge of multiple languages, i.e (specialized technical requirements as shown in attachment) environment, active business processes, business areas, as well as industry. Knowledge of systems and/or business analysis design concepts. Demonstrated proficiency in the applied use of systems and process analysis tools. Full system life cycle experience, including development lifecycle methodologies. Demonstrated understanding of Structured Query Language (SQL). Ability to facilitate interactive design and functional specification sessions. Highly developed interpersonal, written and verbal skills with an ability to express complex technical concepts in business terms. Excellent technical writing and system documentation skills. Strong analytical problem-solving, and conceptual skills. Demonstrated project management skills for moderate sized projects. Must be a “team player” able to work with management in developing and implementing new processes and enabling systems. Able to work with end user groups to define application needs and identify feasible solutions. Proactive, self-motivated with the ability to motivate others and a customer-focused service attitude. Good organizational skills, with the ability to meet objectives and effectively multi-task. Ability to work with multiple levels of the organization, both technical and non-technical. Desired Qualifications 3 Years of hands-on data science experience Experience using source control tools like Git or Subversion Experience with developing analytical models within and across multiple data domains Proficient analytical and math background Demonstrated success in performing within a functional organizational environment Innovative mindset-thinks beyond the status quo Knowledge of OCR, Spark, Hadoop, H20 and/or cloud computing are preferred Tools like workflow Sketch Agenda (SKs) sheets and examples of risk mitigation Families and businesses depend on PSE to provide the energy they need to pursue their dreams. Our steadfast commitment to serving Washington communities with safe, dependable and efficient energy started in 1873. Today we're building the Northwest's energy future through efforts like our award winning energy efficiency programs and our leadership in renewable energy. At PSE we value and respect our employees and provide them opportunities to excel. We offer an expansive pay package that includes competitive compensation, annual goals-based incentive bonuses, comprehensive benefits, 401(K), a company paid retirement pension plan, and an employee assistance and wellness program. Puget Sound Energy is committed to providing equal employment opportunity to all qualified applicants. We do not discriminate on the basis of race, color, religion, sex, national origin, age, sexual orientation, gender identity, marital status, veteran status or presence of a disability that with or without reasonable accommodation does not prevent performance of the essential functions of the job. Should you have a disability that requires assistance and/or reasonable accommodation with the job application process, please contact the Human Resources Staffing department at jobs@pse.com or 425-462-3017." Data Scientist,"Greenwich, CT",ZUNA,"Would you like to work at one of the largest electronic broker companies while growing your knowledge and skills as a junior Data Scientist? If you are a determined, passionate junior data scientist who possesses the required skills, we are looking for you! The ideal candidate will possess the ability to execute analytical tasks on large data sets to support decision makers and provide insight and reports about our platforms. The junior data scientist role will use data to help us better understand who our clients are, how they engage with our products and services and how we can better serve them by identifying interesting and useful trends in our data. This also requires the ability to: Produce daily metrics and reports Clean and prepare data for Machine Learning and AI Collect and analyze various telemetry and behavioral data Work closely with software engineers and architects to extract, transform and standardize data for optimal use for analytic too Assist with designing and running A/B tests Automate frequently used reporting and data analysis workflowsQualifications Experience using statistical programming languages, machine learning and other toolkits and techniques for analyzing large, complex datasets 2+ years' experience in a data science or data analysis role 2+ years of Java coding experience Technical proficiency with transforming structured and unstructured data sets 2+ years mining and analyzing data sets to extract meaningful trends, producing meaningful and actionable reports Bachelors in Computer Science, Mathematics, Statistics; Masters strongly preferred" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Data Scientist Intern,"Orlando, FL 32825",LOCKHEED MARTIN CORPORATION,"Performs exploratory research and analysis to identify novel and meaningful patterns in data and uses statistical methods to reject or accept proposed hypotheses about relationships or latent predictive factors discovered through their work to provide business value. Uses a combination of tools, technologies, and numerical computing systems (i.e.: GPU processing, distributed computing, highly parallel coding, cloud computing, machine learning, visualization, system modelling and simulation) to achieve results. Areas of expertise should include several of the following: applied statistics, text mining, natural language processing, deep learning, optimization, and other similar fields.Basic Qualifications:Work on datasets with applied statistics and machine learning algorithmsUse exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and discover opportunities in datasets to support decision-makingDevelop predictive models and new algorithms to solve data / business problemsUnderstand the math and statistics behind the models and interpret, extrapolate, and prescribe from data to deliver actionable recommendations using effective visualizationsVisualize and communicate findings and provide a quantitative framework for evaluating and analyzing alternatives Desired Skills: Foundational understanding of a broad set of tools to be able to apply the right tool to each data exploration activity. Tools could include, for example:Descriptive and Predictive modelingMachine Learning (supervised and unsupervised)Advanced statistics and statistical modelingTime series analysis and forecastingOptimization and simulationCommunication, story-telling and visualizationDistributed computing (Hadoop)Importing, cleaning, and transforming datasetsData warehousingCritical thinking & problem-solving skillsData preparation and transformationLanguages: Python, Pig, Hive, Spark, SQL BASIC QUALIFICATIONS: job.QualificationsLockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They’re dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.EXPERIENCE LEVEL: Co-op/Summer Intern" Data Scientist - Intermediate,"Creve Coeur, MO",Infotree Global,"Job Summary******************** only W2,no C2C ***************Description:We have an opportunity available for Remote Sensing Data Scientist to join our team. Our team works directly with scientists to develop software platforms that enable cutting-edge research and development to revolutionize plant breeding and biotechnology, optimize supply chain operations and deliver the best customer experience.The successful candidate will use the latest innovations in remote sensing and machine learning to propose software solutions to optimize supply chain operations. The Remote Sensing Data Scientist will design and test algorithms, conduct prototyping to evaluate possible scenarios leveraging computational and statistical techniques for the development of novel approaches for remotely sensed data.- MUST HAVES: Solid background in Remote Sensing, statistics and pythonprogramming.Required Skills:Ph.D. (or MS with 4+ years of post MS experience) Geostatistics, Computer Science, Electrical Engineering, Physics, Mathematics, Statistics or an Analytics disciplineProficiency in Python or in another high-level programming languageExperience in developing statistical, and machine learning models for environmental and agronomical applicationsProficiency with image processing and/or computer vision algorithmsExperience analyzing and presenting complex data and proven problem-solving abilitiesStrong publication record in leading scientific journalsStrong organizational, interpersonal, and written communication skillsDesired Skills:Experience working with agricultural/biological scientific data is highly desiredDrive for translating business problems into research initiatives that deliver business valueCreativity in defining challenging exploratory projectsJob Type: ContractSalary: $70.00 /hourContract Renewal:LikelyWork Location:One location" Data Scientist (Entry Level),"Chicago, IL 60606 (The Loop area)",Strike Social,"Why Work With Us Strike is a leader in the fast-growing marketing technology sector. We're not just succeeding, we're kicking butt. Come help build the next generation of advertising and marketing technology using the latest technologies including Machine Learning, Real-time Analytics, and Experimental Modeling on the Strike Marketing Cloud/Data Warehouse. Strike has offices in Chicago, San Francisco, Los Angeles, New York, Singapore, Australia, the Philippines and Poland. Data Scientist (Entry Level) Who you are: You are someone who takes pride in your work, seeks order in chaos, and wants the opportunity to work with like-minded individuals. You are a leader, not a follower, with an innovative spirit who wants to collaborate with a team of brilliant minds in our quest to generate amazing insights. What you'll do: We are working on some challenging problems that require bright minds and grit to help us solve. We work in an agile environment with lots of cool toys. Our Data Scientists research and create our learning infrastructure using Python and then work with Data Engineering to build micro services into our data lake. A career at Strike is an exciting journey where you will: Partner with product development teams to research, design and implement learning systems that recommend, optimize, and predict marketing campaign performance for top brands across multiple advertising platforms including YouTube (Adwords and DV360), Facebook/Instagram, LinkedIn, Snapchat, Pinterest and more Develop algorithms and models that inform customer activities Participate in the architecture and development of a closed-loop learning system reading and feeding our private data warehouse Play a key role architecting and building our Marketing Data Warehouse Report progress, issues and status at daily and weekly stand-ups Stay abreast of emerging technologies and new design approaches Provide technical leadership both within and outside the technology team What you need: Bachelor's degree or higher - Quantitative field such as Computing Science, Statistics, Mathematics, Physics, or Engineering 2+ years of strong mathematical and statistical data analysis experience 2+ years of experimental data / modeling experience 2+ years of Machine Learning experience including black box and bespoke solutions 2+ years of Python development experience Agile software development methodology experience and test-driven development experience Take pride in writing clean dependable algorithms Strong ability to analyze problems and formulate effective solutions Sharp critical thinking skills, including systems and business analysis, problem analysis and resolution, and sound judgment/decision making ability Proven ability to work in a rapid release product environment Impress us with: Masters or PhD - Quantitative field such as Statistics, Mathematics, Physics, or Engineering Experience with Database optimization and maintenance Experience to develop and deploy Machine Learning and Algorithmic micro services Working at Strike Social Strike is a close-knit, work-hard/play-hard environment. If you want a fun, challenging and rewarding experience, apply to join our team! Aside from standard (and generous) employee benefits, Strike offers an open office environment, casual dress code, a spectacular Loop location and frequent team outings. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. Direct inquiries only, no recruiters please. rseBEMTunM" Sr Data Scientist,"Hartford, CT",Nava Software Solutions LLC,"NAVA Software Solutions is looking for a Data Scientist for a Contract opportunity for our client in Hartford, CT Title: Data Scientist Location: Hartford, CT Exp: 7-10 yrs Start Date: ASAP Duration: 12 months Skills Required: SQL,R,SAS,Python Qualifications: Strong desire to grow a career as a Data Scientist in highly doing data analysis and machine learning on terabytes and petabytes of diverse datasets. Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement. Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. Strong software development skills. Strong verbal and written communication skills. Experience with or desire to learn: Required: Machine learning and other advanced analytical methods Required: Fluency in Python and/or R Required: pySpark and/or SparkR and/or SparklyR" Data Scientist - Indeed Hire,"Austin, TX 78731",Indeed,NA "Data Scientist, Workforce Analytics","Burbank, CA",Warner Bros. Entertainment Group,"Company Overview WarnerMedia is a leading media and entertainment company that creates and distributes premium and popular content from a diverse array of talented storytellers and journalists to global audiences through its consumer brands including: HBO, HBO Now, HBO Max, Warner Bros., TNT, TBS, truTV, CNN, DC Entertainment, New Line, Cartoon Network, Adult Swim, Turner Classic Movies and others. Warner Media, LLC and its subsidiaries are equal opportunity employers. Qualified candidates will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. Business Unit Overview HR Services provides payroll, travel and expense, human resources, HRIS, IT and benefits administrative services to the Warner Bros. Entertainment Group of Companies. Opportunity Overview The Job We are looking for a talented data scientist to join our Workforce Analytics function and will be responsible for predictive modeling and analysis of workforce data, to support our HR team to meet their goals and objectives. As a data scientist, you are expected to formulate the questions that will help business and then proceed in solving them, and make independent decision on what tools, technology, methodology to apply to the work. You are also expected to build statistical models and advanced programming based on the business understanding. Data scientist is a someone who combines business understanding, data handling, programming, and data visualization skills to drive better business results.The DailyResponsible for developing statistical and machine learning solutions to identify WB overall and cross-business unit talent opportunities. Designing and implementing solutions utilizing a large array of know-how areas within analytics e.g. generalized regression, decision tree, non-parametric; and machine learning, e.g., gradient boosting, random forest, neural networks, clustering, pattern recognition. Communicate and present findings and recommendations to senior leadership team with WB, i.e. CHRO, HRLT, CFO. Provide input and guidance to the acquisition of data, partner opportunities and analytical competencies to strengthen Workforce data related capabilities. Provide guidance and assign work to junior data analysts.The EssentialsBachelor or higher degree in engineering or quantitative discipline, or equivalent combination of training and work experience. Minimum 2 years of Experience in advanced data mining techniques and tools such as R and Python, and familiar with manipulating large-scale structured and unstructured data. Minimum 1 year of experience with data visualization tools such as Tableau or Power BI. Proficient with statistics, data modeling, and analysis. Experience with SQL, relational database, database management. Experience in transforming goals/requests into a visual story to help end users identify areas of strength and opportunities for improvement. Consulting experience with a management consulting/software company preferred. Experience in HR system transactions preferred. Experience in process improvement, and finance/accounting preferred. Proven analytical skills with strong attention to detail. Strong technical aptitude and ability to learn quickly through instruction and self-training. Understands the functional and technical details, but can think strategically. Can be effective across disparate environments and work teams. Ability to manage priorities across different projects. Advanced skills in data analysis using database, spreadsheet, reporting software. Strong leadership and communication skills. Strong interpersonal & relationship building skills. Excellent time and project management skills with the ability to work efficiently under tight deadlines. Comfortable in a dynamic environment. Able to identify needs, develop a plan of action and implement. Comfortable with ambiguity. Self-starter who can think creatively and look for/develop elegant & viable solves for real world problems. Utilize discretion and judgment to maintain confidentiality of sensitive data. Desire to constantly improve and learn. Ability to work on a diverse scope of projects requiring detailed data analysis. Must be a supportive team member as an active participant and contributor. Must have an exploratory mindset. Must be solution oriented with the flexibility to work in a dynamic environment. Must have excellent time management skills to perform in a fast-paced, high pressure, high volume environment. Must have strong interpersonal skills with excellent written and verbal communication skills. Must have strong attention to detail (excellent quality of deliverables). Must have the ability to tailor communication and messaging with varying levels of the organization. Must be able to reason through issues and resolve problems and work well under time constraints. Must be a team player and be flexible. Must be a motivated, confident self-starter." Junior Data Scientist | TS/SCI,"Springfield, MA",Connect Talent Solutions,"As a Junior Data Scientist, you will work as part of a small team of data engineers, database developers and visualization specialists to analyze large sets of structured data, looking for anomalies and undiscovered correlations. You will combine analytic, Python, and R skills to discover and solve data problems obscured to the layman by the sheer volume of data, apply fuzzy matching and statistical analysis to find and deal with inaccurate data points or missing data, and work with data providers to correct their input feeds. You will use a variety of tools to profile and visualize data, developing reports, dashboards, and repeatable analyses for leadership.Job Responsibilities: Perform deep dive analysis into data sets and reports to identify problems or suspected issues with collected data. Analyze business operations requirements for data, evaluate existing data quality, and recommend improvement opportunities. Analyze output products to assure data quality and conformance to requirements. Participate in continuous improvement efforts to increase available data quality and speed of delivery. Participate on an Agile development team, using Scrum techniques, as a contributing development team member. Qualifications Bachelor’s degree preferred, however, adequate work experience and training will be considered for a stellar candidate. Agile development certifications preferred.TS/SCI clearance required Desired Core Skills: Good Python Scripting SQL Scripting MS Excel (e.g., vlookup, pivot tables , etc) Time management skills and the drive to work with limited supervision within a small team Ability to manage priorities across multiple project tasks Preferable Secondary Skills: Familiarity with Agile Scrum methodologies Experience with analytic tools like Tableau, Kibana, or Alteryx, Experience with relational databases like Postgres, SQL Server, Oracle, or MySQL Jupiter Notebook R Studio Connect Talent Solutions is an Equal Opportunity Employer-Minorities/Females/Veterans/Individuals with Disabilities. Individuals with disabilities, including disabled veterans or veterans with service-connected disabilities, are encouraged to apply. Job Location: Springfield, VA" BERD Statistician,"Los Angeles, CA",USC,"The Southern California Clinical and Translational Science Institute (SC CTSI) is a research organization at the University of Southern California (USC) and Children’s’ Hospital Los Angeles (CHLA). Our mission is to support, promote and accelerate scientific discoveries and their application in real-life settings to improve health in diverse populations. SC CTSI develops and provides resources, services, trainings and tools in support of researchers, academic leadership and partners that collaborate to achieve this exciting mission. Join our team as the BERD Statistician! Summary: The BERD Statistician will perform data management and statistical analysis under the direction of Principal Investigators for complex research projects. Communicates with investigators to understand and advise on scientific questions, database structures, analysis needs, and analytic results. Develops charts, graphs and tables to display results; assists in writing statistical methods and results for IRB applications, scientific abstracts, and publications. Develops research databases; may lead data entry staff, as assigned. Key Responsibilities: Evaluates, recommends and implements procedures for data management and quality control. Develops input methodology and data file structure. Oversees data entry and maintenance of data files, including backups and hard copies. Provides guidance to data entry staff, as assigned. Schedules, assigns and prioritizes workloads. Sets appropriate deadlines. Monitors employee performance on day-to-day basis. Ensures timely completion of work. Performs data analysis using statistical methods. Reviews results for anomalies, investigates to determine cause, and makes corrections if necessary. Assists in interpretation of results and prepares tables or graphs for inclusion in reports and research papers. Assists in preparation of technical reports and papers on the research project's statistical methods and results. Assists Principal Investigators in writing scholarly empirical papers for publication and presentation. Keeps informed of developments in field. Reads journals and other relevant publications, attends professional association meetings and seminars as appropriate. Performs other related duties as assigned or requested. The university reserves the right to add or change duties at any time. Minimum Education: Master's degree, Combined experience/education as substitute for minimum education Minimum Experience: 2 years, Combined education/experience as substitute for minimum experience Minimum Field of Expertise: Biometry, Biostatistics or Statistics; mainframe computer and PC experience; experience with SAS, Epilog, BMDP, GLIM or SPSS." "Siri - Data Scientist, Data Organization","Santa Clara Valley, CA 95014",Apple,"Summary Posted: Mar 6, 2020 Weekly Hours: 40 Role Number:200124335 Would you like to play a part in the next revolution in human-computer interaction? Contribute to a product that is redefining mobile and desktop computing, and work with the people who built the intelligent assistant that helps millions of people get things done — just by asking? The vision for the Siri Data organization is to improve Siri by using data as the voice of our customers. Within this organization the mission of the Analytics team is to inform the evolution of Siri through measurement and analysis of the user experience. As a Data Scientist on the team, you will be an ambassador of analytics to language understanding, product and engineering teams with the ultimate purpose of improving the Siri experience for Apple customers Key Qualifications You think about language and complex systems in terms of statistical distributions and have a big enough toolbox to know how to find patterns in data, identify targets for performance, and identify sources of variance about those targets. You use good judgment balancing art and science when visually communicating information (e.g. Tableau, Superset, ggplot, D3, matplotlib, plotly/bokeh). You have engineered information out of massive and complex datasets (e.g. Hive, Spark, Druid, Elasticsearch/Solr). You have proven experience with at least one programming language (e.g. Python, R, Scala) and are comfortable developing code in a team environment (e.g. git, notebooks, testing). You are self-motivated and curious with demonstrated creative and critical thinking capabilities and an innate drive to improve how things work. You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize! You have excellent verbal and written communications skills and experience in influencing decisions with information. Your academic background is in a quantitative field such as Computer Science, Computational Linguistics, Mathematics/Statistics, Engineering, Economics or Physics. Advanced degree preferred. Description Partner with multiple language-understanding and product engineering teams to understand systemic behavior of Siri and develop methods for evaluating component and model interactions, bias propagation, and hierarchical optimization. Define metrics that we will measure our efforts against as well as defining the instrumentation required for yielding sufficient data. Communicate with and advocate to a wide audience of engineers, managers and executives to inform decisions on how Siri's capabilities evolve. Build analytic, visualization, and other information products with a drive to automate and scale the insights available to science and engineering teams. Perform exploratory data analyses to enrich our mental models about Siri usage and identify new questions to pursue. Extract information from structured and unstructured data coming from Siri's computational architecture. We are looking for people with a track record in building insights and relationships to affect decisions. Join us, and impact hundreds of millions of customers across billions of their interactions with a personal, intelligent assistant who is available on iPhone, iPad, HomePod, Watch, TV, and Mac across more than 30 languages! Additional Requirements Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics." Global Data Scientist,"Washington, DC 20005 (Logan Circle area)",Innovations for Poverty,"The Global Data Scientist is an expert in statistics, data science, and quantitative research who supports a large portfolio of research projects across diverse geographies, sectors, and methods. This position will work as a technical lead on IPA’s Global Research and Data Support (GRDS) Team, based in New York City. The Global Data Scientist’s role will include, but not be limited to, the following activities: Responsibilities Developing software applications and data management systems (25%) The Global Data Scientist will design and develop software applications and data management systems that help to improve the quality of IPA’s data, including user-written Stata commands and Python-based applications. Supporting staff technical capacity (25%) The Global Data Scientist will prepare and lead training sessions and remote courses on topics such as statistical inference, survey programming, and data quality control processes. The Global Data Scientist will also provide technical guidance and troubleshooting/support for technical staff in IPA’s 21 country offices. Depending on the applicant’s managerial experience, the Global Data Scientist may also directly oversee other coders and trainers. Expanding the scope of IPA’s technical services (15%) The Global Data Scientist will research, adapt, and design innovative methods to broaden IPA’s portfolio of evaluation and technical services. Depending on the applicant’s technical experience, the Global Data Scientist may for example lead the selection of new software applications for global use, or the development of new data management protocols. Partnering with project teams to increase the technical rigor of project deliverables (15%) The Global Data Scientist will help draft and refine technical documents, which may include evaluation designs, pre-analysis plans, sample size calculations, and other documents. Documenting knowledge and best practices (10%) The Global Data Scientist will write detailed code and process documentation for technical teams, clear knowledge articles for consumption by global research staff, and occasional public-facing blog posts. Supporting other research-related activities as necessary (10%) The Global Data Scientist may be asked to troubleshoot technical products, support regional technical teams, or assist with strategic projects and initiatives. The Global Data Scientist will perform any related duties assigned by the Associate Director. Travel requirements IPA’s Global Research and Data Support team works with hundreds of research staff in more than 20 IPA country offices to provide design support, research protocols, technical resources, coding support, and training programs. This “headquarters” position will be based in New York City (preferred) or Washington, D.C., but will remotely support projects in IPA country offices as well as spend up to 35% of time traveling. You can see a list of IPA’s worldwide offices at https://www.poverty-action.org/research. Qualifications Required qualifications Undergraduate degree in economics, statistics, computer science, engineering, or related fields; master’s degree preferred Two or more years of relevant work experience, such as performing advanced statistical analysis, developing software applications, and/or designing evaluations; additional management experience preferred Demonstrated statistical programming and data management skills; Stata or R preferred Demonstrated proficiency in understanding and applying machine learning algorithms; Python experience preferred Demonstrated expertise in methods for causal inference in social science Preferred qualifications Experience with data collection platforms and technologies (e.g. ODK/SurveyCTO, Survey Solutions) Experience supervising field or technical teams Experience conducting field research in developing countries Experience training staff or developing training content Experience with software engineering or artificial intelligence" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Data Scientist,"Los Angeles, CA",TeleSign,"TeleSign is a cloud communications company that is redefining the way the largest brands in the world protect, connect and engage with their users. With an innovative suite of APIs, enhanced by data intelligence and Machine Learning, TeleSign delivers communication, verification and Mobile Identity solutions that have been used by almost everyone around the world. In business for more than a decade, profitable and located in the heart of Silicon Beach with panoramic views of the ocean and Hollywood sign, there is no better place to evolve and grow your career. What You will Do: The Data Science team at Telesign is responsible for both practical and R&D efforts. You will work closely with other data scientists, the product team, and engineering, to ensure a seamless delivery of cutting edge algorithmic approaches applied on high volume, high velocity data.About you: 3+ years experience in several of the following:Popular python packages such as NumPy, pandas, sk-learn, xgboost Spark and/or AWS Glue Experience delivering, evaluating, and iterating on models in production Knowledge of common methodologies for fraud detection and prevention Broad awareness of statistical methodologies and machine learning algorithms Some data visualization experience with packages such as matplotlib, plot.ly, or Tableau SQL and NoSQL databases Nice to have:Experience working with Sagemaker Familiarity with Tensorflow Prior work on graphs (neo4j, AWS Neptune, etc) and efficient (polynomial time) graph algorithms like Dijkstra, Primm's algorithm, triangle / clique finding would be a big plus About TeleSign: Our global team consists of the best and the brightest in the industry and we treat them as such. We provide a variety of excellent benefits ranging from the standard: 401(k) matching, free lunches, generous PTO, and flexible schedules to the not so standard: quarterly performance bonuses, in-house massages, our state of the art office with panoramic views of the marina and hills, and so much more! ;) TeleSign is proud to be an equal opportunity employer. We believe our differences help us create a better workplace, a better product, and a better community. We do not discriminate on the basis of race, color, ancestry, religion, national origin, marital status, pregnancy, sex, sexual orientation, gender, gender identity or expression, age, genetic information, disability, military or veteran status, or any other basis protected by federal, state or local law, ordinance or regulation. TeleSign also participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. TeleSign is an Affirmative Action Employer and as part of the commitment to AAP, it will seek to ensure affirmative action to provide equality of opportunity in all aspects of employment, and that all personnel activities, such as the recruitment selection, training, compensation, benefits, discipline, promotion, transfer, layoff and termination processes remain free of illegal discrimination and harassment based on protected characteristics." Data Scientist,"Raleigh, NC 27614",Itron,"The work we do every day matters. From modernizing the grid and ensuring safe, reliable water delivery to creating smarter cities, you can make an impact with Itron. As a Data Scientist at Itron, you will work with business leaders to deliver business outcomes for utility customers using advanced data analytics. You will work closely with project teams and utility customers to identify and solve business problems by mining the value from large sets of structured, semi-structured, and unstructured data in a distributed processing environment. This role will focus on algorithm development and prototyping, as well as supporting developers who will implement such algorithms for production. Accordingly, this position captures combined skills of a scientist, statistician, data analyst, and programmer. Some remote work and flex time possible, although travel will be increased to work on-site with some of the teams. Job Duties & Responsibilities:Management and manipulation of data sets as required from raw source to analytics platform.Perform data cleansing & validation.Responsible for completing predictive data analysis.Develop software algorithms and models to achieve business results.Perform data visualization.Communicate both written and verbal activities with customers and Itron Product Management and R&D management.Interpretation and presentation of statistical tests & results.Commit to learning energy & utility domains. Qualifications:Experience: This position requires a minimum of 1-2 years of related experience. Experience with the following programming languages would be beneficial: R, ML, Python, Matlab, SQL. Other desired skills:Effective interpersonal communicationFamiliarity with source control and issue tracking systems such as git, Microsoft ADS/VSTS or Jira.Statistical skills such as regressions, clustering, time-series, Fourier TransformsAnalog circuits or basic power/electrical engineering concepts Education: Bachelor's degree in related field (engineering, physics, mathematics, or actuary science, etc.) is required. Master’s Degree in a related field (data science, mathematics, or statistics, etc.) is required; PhD in a related field is preferred. Travel: 10 - 20% Location: Can be located in either San Jose or Oakland, CA, Raleigh, NC, or Liberty Lake, WAPhysical Demands: This is a typical office job, with no special physical requirements or unusual work environment. Itron is an Equal Opportunity, Affirmative Action Employer. Qualified applicants are considered without regard to race, color, religion, sex, age, national origin, citizenship, sexual orientation, marital status, pregnancy, medical condition, veteran status, disability, genetic information, gender identity or other characteristics protected by law. If you require an accommodation in order to apply to this position, please contact your local recruiting representative at 1-800-635-5461 or email Accessibility@itron.com. #LI-JO1" Senior Data Scientist,"Los Angeles, CA 90049 (Brentwood area)",true[x],"JOB DESCRIPTION True[X] Senior Data Scientist The Senior Data Scientist will be a key member of true[X]’s Data Science team. This team is responsible for researching and analyzing data sets, and creating the statistical and machine learning models that power some of our most advanced advertising technology. WHO WE ARE LOOKING FOR: Changing the established guidelines of an industry, especially one as rooted as digital advertising, isn't an easy or quick effort, but we believe it's the right thing to do and we want to be the ones to do it. We're looking for hungry people who are passionate about redefining the digital video and media world, from how consumers experience it to how content creators fund it. We work hard at true[X], and we believe in fostering an open, collaborative, motivating, creative culture for our team; put simply, our employees love to come to work. We have all the perks you can expect from a startup environment, including a sunlit rooftop patio, corn hole and ping pong, and a stocked pantry and fridge. We are looking for smart, driven, accountable, and friendly individuals to build the next generation of advertising innovation for the premium video ecosystem. Being part of a compact tech team in a company with start-up vibe, everyone is entrusted with significant ownership and responsibility. Plus, choose and attend your favorite tech conference, fully sponsored by true[X]. And this is just one of many training and learning opportunities which true[X] invests in every employee. Innovation is at the core of true[X]’s company values. We are the pioneers in interactive value exchange advertising and are focused on inventing new disruptive mechanisms for advertising targeting and measurement. There is an endless supply of Data Science work to be done. Our Data Scientists are constantly expanding their knowledge and experience, whether it be exploring a deep learning model for optimizing in-content ad experience on a Hackday, learning the internals of various state-of-the-art machine learning algorithms, or leveraging new cloud platforms and Open Source tools to automate the model training and deployment processes. Boredom doesn’t exist here. As a Data Scientist, you will be joining a most inventive team that is the driving force and steering wheel behind true[X]’s next generation ad products. We empower the creation of engaging ad experiences and effective ad measurement products for Desktop, Mobile, and Connected TV that are optimized for consumers’ time and attention. We do cutting edge advertisement optimization, we ensure campaign performance is properly and correctly measured, and this is just the tip of the iceberg. If you've wanted to join a team where your work can really have an impact, you’ve found the right place. RESPONSIBILITIES: Leverage ""Big Data” tools (Spark/Hadoop Ecosystem) and cloud services to build ETL pipelines for the massive and complex data collected on true[X]’s proprietary ad platform and by third-party vendors. Ensure data quality throughout all stages of acquisition and processing, including data sourcing, cleansing, normalization, transformation, mapping, etc. Develop statistical methods and data mining algorithms to solve difficult, non-routine analysis problems and provide insights to various internal and external stakeholders. Research and implement state-of-the-art machine learning and deep learning methods. Deliver a machine learning project from beginning to end, including validating needs, specifying the requirements, defining an approach, aggregating and exploring data, building and validating models, deploying completed models, and using the results to deliver business impact to true[X]. Write production-level code (Python/Scala/C++) to implement machine learning models at scale. Work with QA/data/software engineers to test and deploy the models to cloud-hosting ad serves. Monitor the model performance and efficiency in real time, diagnose and resolve potential production issues, and improve as needed. Interact cross-functionally with a wide range of people and teams. Collaborate with colleagues from engineering, business and liberal arts backgrounds. Present proposals and results in a clear manner backed by data and coupled with actionable conclusions. Provide direction and guidance to junior members of team on all aspects of Data Science from business context to technical coaching. REQUIREMENTS: Advanced degree in computer science, optimization, statistics, or relevant fields In-depth understanding of modern machine learning (including deep learning, reinforcement learning) models and their mathematical underpinning Minimum 5 years of working experience in the areas of machine learning, predictive modeling and data mining Proven track record of customizing machine learning solutions to business problems in a cross functional team Knowledge of common data structures and ability to write efficient code in at least one programing language (Python, Scala, Java, or C++) Experience with cloud services (AWS/Google Cloud/Microsoft Azure/Databricks etc.) Excellent verbal and written communication and data/model presentation skills, including an ability to effectively communicate with both business and technical teams We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law." Juñior Data Scientist,"Boston, MA",PIÑATA SCIENCES,"Pinata Scienes is looking for an up and coming Data Scientist. This data driven individual will work to support our data science team to deliver scalable solutions that provide real-word business value. In addition to building solutions, you must possess the aptitude and hunger to learn. As an energetic data scientist you will be responsible for taking in person findings and developing practical business solutions for our clients. In order to succeed in this role, you must be passionate about solving business problems using data science. Come bust open some data with us! MAIN REQUIREMENTS: Some experience building and implementing predictive models Excellent customer engagement skills Strong organizational, communication, writing and interpersonal skills Expereience with a variety of technical tools for the manipulation of datasets 1-2 years of real-world business experience Up to 50% travel DESIRED SKILLS: Experience with machine learning techniques Fluency with scripting (Python / R) Experience with Hadoop and related Big Data technologies" Quantitative Data Scientist,"Salt Lake City, UT 84112 (East Bench area)",University of Utah,"Identifies trends and problems through complex big data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Responsibilities Designs, develops and implements the most valuable solutions for the organization. Prepares big data, implements data models and develops database and web applications to support the solutions. Familiar with a variety of the field’s concepts, practices, and procedures. Ability to initiate and drive projects to completion with minimal guidance; the ability to communicate the results of analyses in a clear and effective manner. Basic understanding of statistical analysis. Relies on extensive experience and judgment to plan and accomplish goals. Performs a variety of tasks. Leads and directs the work of others. A wide degree of creativity and latitude is expected. Typically reports to a manager or head of a unit/department Work Environment and Level of Frequency typically required Nearly Continuously: Office environment. Physical Requirements and Level of Frequency that may be required Nearly Continuously: Sitting, hearing, listening, talking. Often: Repetitive hand motion (such as typing), walking. Seldom: Bending, reaching overhead. Minimum Qualifications Bachelor’s Degree and 6-8 years of related experience in the field or related area is required. This position has no responsibility for providing care to patients. Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description. Preferences Type Benefited Staff Special Instructions Summary" Junior Data Scientist,"New York, NY",Avibra,"Who We Are Avibra is an end to end consumer loyalty ecosystem with a mission to educate and improve individual financial, career, physical, social and community well-being, and provide opportunity to people to convert their good habits into life insurance coverage for their loved ones. Our goal is to bring 60% of population primarily in low- and middle-income demographic under our ecosystem to provide an integrated and unparalleled well-being and insurance services using cutting edge technology and groundbreaking innovation.We are backed by Tier 1 VC and closed our first institution seed round, looking for someone who can become our crown jewel of the company and play a key role in outlining a strong data analytic trajectory and executing on it.We are looking for our first hire who will work closely with the core team and founders to outline a strong data analytics roadmap and execution strategy.Responsibilities Include Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, and conversion, as well as, other business outcomes. Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions. Coordinate with different functional teams to implement models and monitor outcomes. Requirements Include PhD or MS in a quantitative discipline such as Applied Math, Data Science, Physics, Statistics, or Engineering Proficient in a machine learning field with 1+ years of experience working in this domain. Deep understanding of Statistical/Probabilistic Analysis and Linear Algebra Strong problem-solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions. Experienced in using Python for analysis and modeling (TensorFlow is a big plus) Experience with Deep Learning, Reinforcement Learning, Natural Language Processing, Time Series Analysis, and/or Optimization Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks. Excellent cross-functional communication skills. Ability to thrive in a fast-paced environment. LocationNYC or Remote Benefits + Perks Salary, Equity, Health Insurance Total freedom to unleash your true potential + creativity to make a dent in the universe" Data Scientist,"Redwood City, CA 94065 (Marine area)",Oracle,"Data Scientist-200006CH Preferred Qualifications Oracle’s Digital Assistant Cloud Service Team is creating innovative products that leverage the power of AI and Machine Learning to bring world-class natural language and speech capabilities to Oracle’s Digital Assistant platform. This team has a big charter and an incredible amount of creative freedom, with a start-up feel but with the stability of a big company. We have a tenured team of some of the smartest people in the industry and we are looking for exceptional and passionate Data Scientists to join our team! As a Data Scientist at Oracle in our Digital Assistant Cloud Service Team, you will work with a tenured and incredibly smart team of people to improve the accuracy and efficiency of existing deep learning models by applying your data science expertise to relevant data. Desired Skills and Qualifications: BS or MS degree in Computer Science or related field. 3+ years of professional experience in industry. Superior ability to analyze and interpret the results of product experiments. Processing, cleansing, and verifying the integrity of data. Experience converting ambiguous messy data into tangible actionable results. Exposure to every aspect of data science. Experience in data augmentation technologies. Experience in enhancing data collection procedures to include relevant information. Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to learn about them. Experience in extending company’s data with third party sources of information when needed. Experience in programming in Python or similar languages. Ability to adapt to a fast-paced work environment and can quickly adjust to changing priorities. Detail oriented with focus on quality of the product, data, and code. Fluency in spoken/read/written English.Our environment is exciting and challenging where every person is empowered to show initiative, be outspoken, and be proactive and not reactive! Oracle is dedicated to the continual growth and development of its employees, striving constantly to strengthen our expertise as well as develop new skills, while always staying abreast of and creating new technology. Detailed Description and Job Requirements Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc. As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs. Duties and tasks are varied and complex needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience.Oracle is an Affirmative Action-Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veterans status, age, or any other characteristic protected by law." Jr. Data Scientist,"Camden, NJ 08103 (Central Waterfront area)",US Cold Storage,"Overview: Job Title: Jr. Data Scientist Who We Are: USCS is driven to advance, innovate and serve companies seeking the best service, facilities, and logistics in the cold chain. We are employee focused, an equal employment opportunity employer and would love to have you join our team.The Job Details: The Jr. data scientist is responsible for bringing value to data through data analysis to arrive at defensible solutions/answers to company challenges. As a specialist on machine learning techniques, the Jr. data scientist will also develop and apply machine learning methods in projects across USCS. Duties and Responsibilities include the following: Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies Solve problems with supervised or in supervised machine learning methodologies Use predictive modeling to increase and optimize customer experiences, revenue generation, cost optimization and other business outcomes Apply and develop machine learning techniques to drive the implementation of AI processes Develop algorithms that can receive input data and leverage statistical models to predict an output while updating outputs as new data becomes available Develop personalized data products to help USCS better understand themselves and their customers to make better business decisions The Job Specifics: Location, Department and Work Hours: Camden, IT Reports To: Big Data Lead Travel Amount: Anticipate travel at 10% and increased travel during the realization phase on implementation. Job Type, EEO, and Job Code: Full-Time, Exempt Professional What We Are Looking For: Education Master’s degree in Computer Science/Data Science/Statistics/Mathematics or equivalent experience Experience Experience with Machine Learning methodologies Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc Experience querying databases and using statistical computer languages: R, Python, etc. Experience with Supply Chain or Logistics is a plus Hands on experience on developing and implementing Machine Learning models Experience with agile practices and methodologies Technical skills in the creation of self-service reporting and analytical tools Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Advanced math skills (linear algebra, Bayesian statistics, group theory) Other Abilities You Will Need to Have: The physical demands described below are representative of those required of an individual performing the essential duties of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties. Good arithmetic, reading, and typing skills Sit and/or stand for extended periods of time Be able to see, speak and hear Ability to work overtime as needed May require physical effort associated with using the computer to access information, or occasional standing, walking, lifting needed to carry out everyday activities Understand and follow verbal instruction, written instruction and company policies A starter that can work independently and coordinate with others Follow safety procedures at all times Ability to manage stress and productivity guidelines The Standard Details: Always maintain a professional manner in appearance and communications Participate in staff and/or customer meetings if required Initiate action to prevent the occurrence of any non-conformities relating to product, process, and quality systems Identify and record any issues relating to product, processes and/or quality Initiate, recommend, or provide solutions through appropriate channels Verify the implementation of solutions Follow posted security procedures at all times while in the building Participate in Safety and Educational Training What’s In It For You: A great company with great people. Full-time employees not under contract are offered: 401K and Educational Assistance after 1 year; If elected, Blue Cross Blue Shield after 30 days of service; Company Life Insurance; and a bunch of other great perks. Things We Need To Mention: The above job description may not include all tasks necessary to complete the job. Job functions may vary based on area of operation. The job description is a listing of the most common tasks the associate will be required to perform in that job area. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties." "Data Scientist – Python, R, NLP","Irvine, CA",Food People,"Overview One of the fastest growing startups is seeking a Data Scientist. They build a product that integrates Salesforce with Google. If you are a Data Scientist with Python experience, please read on! What You Will Be Doing – Deal with with unstructured text, structured business data, and semi-structured relationship data. – Work on a Big Data platform – Work with a team of highly intelligent engineers that have a proven track record of success. – Transform sales from being driven by intuition to driven by science and data Company: Unknown company Qualifications: What You Need for this Position – Master’s or PhD in Computer Science, Data Science, Business Analytics, Applied Mathematics, Physics – Python – R – NLP (natural language processing) – Machine learning techniques (regression, classifiers, clustering) Bonus Points for: – Experience developing and shipping a data science product. – Experience with graph algorithms and network analysis Specific requirements: Applicants must be authorized to work in the U.S. Educational level: Master Degree Tagged as: Big Data, Clustering, Data Mining, Industry, Machine Learning, Master Degree, United States You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer." Senior Data Scientist,"Los Angeles, CA 90028 (Hollywood area)",Netflix,"Los Angeles, California Data Science and Engineering Netflix is revolutionizing entertainment and shaping the evolution of storytelling around the world. We deliver billions of hours of movies and shows per month to more than 150 million accounts across 190 countries, reaching new audiences every day. Our data-driven culture allows us to continuously innovate and provide the best experience for our diverse member base. The goal of the Studio Production Data Science and Engineering team at Netflix is to help scale our rapidly expanding Studio efforts. We conduct analyses, develop analytic tools and build innovative predictive models and algorithms using machine learning. Check out this blog post to learn more about the area and some of the problems we're working on, and for more about our broader research and analytics work, you can visit the Netflix Research website. We are looking for a talented data scientist to partner with a world-class team of Studio partners to support global original content creation, and bring joy to our members. What you will do: Work closely with studio stakeholders to identify impactful problems, and develop solutions to these problems via machine learning and data science. Leverage different types of data (e.g., daily data from productions, and scripts) to develop innovative models that empower decision making for studio executives and partners. Join a stunning team of data experts with diverse skill sets, and contribute to Netflix Research. Your background and characteristics: Practical data science experience with a deep technical background in supervised and unsupervised machine learning methods. Experience in using NLP is a plus. PhD or MS degree in a quantitative or computational field and 4+ years relevant experience. Expertise in SQL and programming in Python or R. Comfort with ambiguity; ability to own and drive projects with minimal oversight and process. Exceptional communication with technical and non-technical audiences: written, verbal and presentation. Enthusiasm about Netflix culture. APPLY NOW Share this listing: LINK COPIED" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Data Scientist,"Detroit, MI 48226 (Downtown area)",Amrock,"Preferred Qualifications Master’s degree or doctorate in statistics or another applied science field or equivalent experience Considerable experience with statistical tools and packages (e.g., SAS, SPSS, Minitab, R) and methods to incorporate statistical results into analyses Proficiency in at least one programming language, such as Python, Java or C/C++ Strong knowledge of statistical methods, particularly in the areas of modeling and business analytics Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources Ability to communicate complex quantitative analysis in a clear, precise and actionable manner Experience with modeling and forecasting Working knowledge of standard querying with SQL Advanced hands-on experience with the Microsoft Office suite Proven track record as a lead resource for the business Strong written and verbal communication skills Job Summary The Data Scientist works with business owners and Technology teams to provide deep analysis and guidance on crucial business opportunities across many areas within the company. They draw upon their knowledge and experience in applied statistics, data mining, modeling and forecasting to ensure that results are accurate and clear, providing actionable opportunities for business leaders. The Data Scientist must be detail-oriented and highly aware of the impact of their analysis and solutions across the company. They take initiative and focus on finding innovative solutions for a myriad of business challenges. Responsibilities Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured and unstructured data Drive the collection of new data and the refinement of existing data sources for deep statistical analysis and modeling Clean data in preparation for analysis and modeling Perform statistical summaries and tests for relevant business questions Develop predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis and other modeling techniques Translate business opportunities into data-driven machine learning and modeling solutions that revamp the business process Deploy applicable models into production system for business use Perform statistical testing to enhance the predictability of deployed models Summarize conclusions and solutions for presentation Develop strong relationships with subject matter experts Develop best practices for experimentation Who We Are Amrock is one of the largest providers of title insurance, property valuations and settlement services in the nation. The company is an authorized agent of the highest-rated title insurers in the industry, and its solutions power many of the nation's largest residential lending institutions. Amrock is a preferred provider to five of the top 20 Fortune 100 companies and many of the largest residential mortgage lenders. The company is based in Detroit and retains regional operating centers in Ohio, California, Pennsylvania and Texas. Disclaimer This is an outline of the primary responsibilities of this position. As with everything in life, things change. The tasks and responsibilities can be changed, added to, removed, amended, deleted and modified at any time by the leadership group." Computational Biologist/Data Scientist,"San Diego, CA",Sinopia Biosciences,"Sinopia Biosciences is a clinical stage biotechnology company located at JLABS (Johnson & Johnson Innovation) in San Diego, CA. Sinopia is focused on developing machine learning and computational drug discovery technologies that improve the safety and efficacy of life-changing therapeutics. The company develops and applies proprietary machine learning, systems biology, and bioinformatics tools to identify the molecular mechanisms of major drug classes and to advance novel therapeutics to pre-clinical and clinical proof-of-concept studies, in CNS, oncology, and immunology. These solutions drive a powerful new paradigm wherein computational approaches are used to accelerate biological discovery and development across the life sciences. Sinopia is dedicated to advancing the frontiers of biological discovery and development in medicine, improving existing therapeutic products, and enabling business opportunities for the company and its partners. Position Summary Sinopia is seeking a highly motivated and independent individual with extensive expertise in computational biology, bioinformatics, and machine learning to join our team. This individual will play a key scientific role in expanding Sinopia’s computational platform and aiding in designing the implementation of follow-up validation studies. They will leverage new computational strategies and disparate data types to discover novel interventions for unmet medical needs. Requirements MS or PhD in Bioinformatics, Computational Biology, Computer Science, or Systems Biology with 0 - 3 years of relevant experience in an academic or industry setting (new PhD grads are encouraged to apply) Strong background in implementing and developing machine learning algorithms Background in developing and implementing pipelines for analyzing high-throughput “omics” datasets (such as genomics, transcriptomics, metabolomics, or proteomics) Experience with developing data infrastructure and software; experience programming in Python, R, and/or C/C++ Excellent verbal and written communication and presentation skills Strong quantitative and problem solving skills Must be detail-oriented, highly organized, and efficient Preferred Experience with network and/or systems biology techniques Experience with cloud computing and large-scale parallelization Experience with drug response and pharmacology" Data Analyst - All levels Jr./Sr./Lead,"Kalamazoo, MI",OtterBase,"ResponsibilitiesAs a Data Analyst, you will focus on contracts, pricing, and customer intelligence to maximize revenue and margin through contract and pricing strategy by leveraging analytic tools such as Power BI, Excel, etc. You will elevate Stryker’s approach to customer data by providing business intelligence solutions that supply our business leaders and sales teams with information to support and inform business strategy, identify opportunities, and inform negotiations and decisions. In addition, you will gain a deep understanding of the businesses you support and develop, maintain, deploy, and scale data models and internal solutions that support the business needs. You will build strong relationships with internal customers and sales teams and provide exceptional customer service. Lastly, you’ll have the opportunity to build relationships and collaborate with a robust team, deliver business-focused analytics and recommendations, and enable key initiatives for the organization.RequirementsBachelor’s degree in Economics, Computer Information Systems, Business Analytics, Data Science, Business, Accounting, Finance, or related discipline with 4 to 6 years of data analysis and reporting experienceExperience with excel and other reporting and visualization tools such as Power BI or Tableau. Basic data modeling and fundamental core database conceptsEffective presentation, written, verbal communication skills, including the ability to explain data and findingsWhat we are looking for:· People who listen to ideas, share thoughts and work together to move the business forward· Individuals who enjoy analyzing data or trends for the purposes of planning, forecasting, advising, budgeting, reporting, or sales opportunities· Highly effective communicators who can transform data findings into recommendations to compose reports and executive-level presentations· Critical thinkers who naturally see opportunities to develop· People who build and leverage cross-functional relationships to bring together ideas, information, use cases, and industry analyses to inform business strategy and decisions· People who go beyond just fixing to identify root causes, evaluate optimal solutions, and recommend comprehensive upgrades to prevent future issues· Individuals who enjoy compiling, organizing and consolidating large volumes of data and reports· People who effectively interpret information to demonstrate the effects of business initiatives, regulation and industry trends for sales, management and leadership teamsJob Type: Full-timeSalary: $65,000.00 to $90,000.00 /yearEducation:Bachelor's (Required)Additional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleRelocation assistanceProfessional development assistanceTuition reimbursementThis Job Is Ideal for Someone Who Is:People-oriented -- enjoys interacting with people and working on group projectsAchievement-oriented -- enjoys taking on challenges, even if they might failHigh stress tolerance -- thrives in a high-pressure environmentSchedule:Monday to FridayNo weekends" Associate Data Scientist,"Palo Alto, CA 94306",InspireITSolutions(IIS),"We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.ResponsibilitiesIdentify valuable data sources and automate collection processesUndertake preprocessing of structured and unstructured dataAnalyze large amounts of information to discover trends and patternsBuild predictive models and machine-learning algorithmsCombine models through ensemble modelingPresent information using data visualization techniquesPropose solutions and strategies to business challengesCollaborate with engineering and product development teamsSkillsProven experience as a Data Scientist or Data AnalystExperience in data miningUnderstanding of machine-learning and operations researchKnowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an assetExperience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)Analytical mind and business acumenStrong math skills (e.g. statistics, algebra)Problem-solving aptitudeExcellent communication and presentation skillsBSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferredJob Type: Full-timeSalary: $110,000.00 to $145,000.00 /hourEducation:High school or equivalent (Preferred)Work Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planSigning bonusPaid time offRelocation assistanceSchedule:Monday to Friday" Data Scientist - Global People Analytics,"Bentonville, AR 72712",Walmart,"Position Summary... What you'll do... Applied Business Acumen: Supports the development of business cases and recommendations. Owns delivery of project activity and tasks assigned by others. Supports process updates and changes. Solves business issues. Data Source Identification: Understand the appropriate data set required to develop simple models by developing initial drafts. Supports the identification of the most suitable source for data. Maintains awareness of data quality. Data Strategy: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Analytical Modeling: Selects the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models. Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Defines and finalizes features based on model responses and introduces new or revised features to enhance the analysis and outcomes. Identifies the dimensions of the experiment, finalizes the design, tests hypotheses, and conducts the experiment. Perform trend and cluster analysis on data to answer practical business problems and provide recommendations and key insights to the business. Mentors and guides junior associates on basic modeling and analytics techniques to solve complex problems. Model Deployment & Scaling: Supports efforts to ensure that analytical models and techniques used can be deployed into production. Supports evaluation of the analytical model. Supports the scalability and sustainability of analytical models. Code Development & Testing: Writes code to develop the required solution and application features by using the recommended programming language and leveraging business, technical, and data requirements. Test the code using the recommended testing approach. Problem Formulation: Translates business problems within one's discipline to data related or mathematical solutions. Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem. Model Assessment & Validation: Supports model fit testing and statistical inferences to evaluate performance. Assesses the impact of variables and features on model performance. Data Visualization: Generates appropriate graphical representations of data and model outcomes under guidance. Supports the understanding of customer requirements and designs data representations for simple data sets. Presents to and influences the team using the appropriate frameworks and conveys messages through basic business understanding. Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)" Data Science Intern,"San Diego, CA 92121 (Sorrento Valley area)",SiO Digital,"Responsibilities Work on high-visibility projects (e.g. price optimization, content marketing, and demand forecasting) Participate in customer engagement, product definition, success metrics, prioritize features, to deliver a polished market-ready product Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, and effectively communicate findings and provide key insights/recommendations to various functional leads Own cross-functional interactions for your features (across eng/marketing/field/sales) Requirements Degree or currently pursuing degree in a quantitative discipline (e.g. Operations Research, Statistics, Economics) Proficient knowledge of R or Python, SQL Comfortable with quantitative analysis, statistical techniques, data mining Good communicator (written & visual presentation) Strong interpersonal skills and ability to influence others Great team player" Data Scientist,"Glendale, CA",Beyond Limits,"Position Overview Our data science team is expanding! The successful candidate will work with the data science and engineering teams on challenging projects in a variety of domains. Beyond Limits is a pioneering Artificial Intelligence company and a satellite of NASA's Jet Propulsion Lab and Caltech. Beyond Limits cognitive computing technology combines numeric and symbolic techniques to provide advanced solutions that go far beyond conventional AI. Job Duties/Responsibilities Ingest, organize, and analyze data from various sources (e.g. CSV, relational database) Scope unstructured problems or messy data for tractable insights Identify candidate statistical or machine learning solutions and test their efficacy Communicate technical work and findings both verbally and through written reports and visualizations Work in a collaborative environment to brainstorm, design, implement and deliver solutions to challenging problems Qualifications and Skills 5+ years of relevant industry work experience Excellent understanding of statistical or machine learning techniques, such as clustering, regression, time series forecasting, tree-based methods, sampling methods Demonstrated ability using scientific computing libraries, such as NumPy, Pandas, SciPy, Scikit-learn, Matplotlib, and Plotly Programming proficiency in Python or R Preferred Requirements Ph.D. or Master’s Strong statistical knowledge and experience with hypothesis testing Fluency with machine learning algorithms, such as CNN, RNN, reinforcement learning, support vector machines, and graph-based models Experience with TensorFlow, Keras, or PyTorch Experience with version control systems (e.g. Git flow) Strong oral and verbal communication skills Research experience with high impact publications Experience working with cross-functional teams and/or customer facing work About Beyond Limits Beyond Limits is a pioneering Artificial Intelligence engineering company creating advanced software solutions that go beyond conventional AI. Founded in 2014 with a legacy in space exploration, Beyond Limits is transforming proven technologies from Caltech and NASA’s Jet Propulsion Laboratory into advanced AI solutions, hardened to industrial strength, and put to work for forward-looking companies on earth. We leverage this unparalleled innovation portfolio, along with proprietary cognitive technologies, to help companies solve tough, complex, mission-critical problems and transform their business. We apply a unique hybrid approach to AI, combining numeric AI techniques like machine learning with higher-order symbolic AI and expert human knowledge to deliver intuitive cognitive reasoning and information. Our cognitive computing technology mimics human thought processes and provides explainable reasoning to aid human-like decision-making. Beyond Limits provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Beyond Limits complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Beyond Limits expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Beyond Limit’s employees to perform their job duties may result in discipline up to and including discharge." Senior Data Scientist,"Denver, CO 80202 (Lodo area)",Nexthealth,"NextHealth Technologies is a high growth, venture-backed company located in downtown Denver, Colorado. Our advanced analytics platform enables healthcare companies to make data-driven decisions that save money and optimize outcomes. We’re a tight-knit team of doers that thrive in a fast-paced and agile environment. We nerd-out on our AI and machine learning technology platform and our approach to big data analytics. Our team members enjoy: Competitive salary plus 10% annual bonus potential Stock options Unlimited PTO Medical benefits starting at $0 + HSA gift up to $350 every month $100 monthly commuter benefit Free onsite gym Senior Data Scientist NextHealth Technologies is currently looking for a Senior Data Scientist to join the company’s product and solutions team. Our goal is to make healthcare smarter. The position provides the opportunity to engage in cutting-edge healthcare research on a cross-functional team and contribute to developing products that have an impact on the healthcare industry with patient care. Responsibilities: Lead development of custom predictive and prescriptive algorithms interfacing with large data sets, based on principles from statistics, machine learning, and operations research Perform research as needed to extract cutting edge concepts from technical literature and apply them to relevant product features Work closely with scientists, engineers, and partners, to help evolve proof of concept systems into production at scale. Identify and promote the use of new technologies, toolkits, and frameworks, areas of inquiry, ways of working, methods and approaches in Computer Science, Artificial Intelligence, Software and Research Engineering. Work with clients, the head of Analytics, and the product development team to define desired requirements and capabilities Create integrated solutions using Python modules (including Pandas, Numpy, Scipy, SQLAlchemy, scikitlearn, and PySpark), PostgreSQL, and other tools as needed Required Experience: A graduate degree in Operations Research, Computer Science, Engineering, Applied Statistics or a related quantitative field. 3+ years experience beyond graduate school, which includes development of applied algorithms. Ability to develop algorithms in Python 3.x using Python libraries like pandas, numpy, scikitlearn, and pyspark Detailed knowledge of computer science including data structures, data modeling, distributed systems, and software design methods. Detailed knowledge in data science, machine learning, optimization, and statistics. Preferred Experience: Healthcare industry experience desirable. Spark experience desirable." Data Scientist,"Fremont, CA",Facebook,"In this role, your primary responsibility will be to partner with key stakeholders and lead the development of an analytics program to support and enable the continued growth critical to Facebook's Data Center organization. You will be responsible for creating end to end analytics programs, from data sourcing to surfacing insights and driving action, for various aspects of Facebook's global data center operations. You will also help translate data and identify efficiency opportunities. You will be expected to use data to provide meaningful recommendations and actionable strategies to key stakeholders, and develop best practices, including streamlining of data sources and related programmatic initiatives. The ideal candidate will have a passion for working in white space and creating impact from the ground up in a fast-paced environment. Additionally, you will have a proven track record of thought leadership and impact in developing similar analytics and metrics-based programs. This position is part of the Infrastructure Data Center team and located in Menlo Park, CA. DATA SCIENTIST RESPONSIBILITIES Leverage data and business principles to create and drive large scale FB Data Center programs Define and develop the program for metrics creation, data collection, modeling, and reporting the operational performance of Facebook’s data centers Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations Be a self-starter, motivated by a passion for developing the best possible solutions to problems Identify and implement streamlined processes for data reporting and communication Use analytical models to identify insights that are used to drive key decisions across the organization Routinely communicate metrics, trends and other key indicators to leadership Provide leadership and mentorship to other members of the team Lead and support various ad hoc projects, as needed, in support of Facebook’s Data Center strategy Build and maintain data driven optimization models, experiments, forecasting algorithms and capacity constraint models Leverage tools like R, Tableau, PHP, Python, Hadoop & SQL to drive efficient analytics MINIMUM QUALIFICATIONS Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science) 3+ years of experience in a role with data analysis and metrics development 3+ years of hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders 3+ years of SQL development experience writing queries 3+ years of hands-on project management experience 3+ years of experience with data visualization tools 3+ years of experience with packages such as R, Tableau, SPSS, SAS, STATA, etc. 2+ years of experience with scripting in Python or PHP Experience leveraging data driven models to drive business decisions Experience using data access tools and building visualizations using large datasets and multiple data sources Experience thinking analytically Experience communicating data to all organizational levels Experienced with packages such as NumPy, SciPy, pandas, scikit-learn, dplyr, ggplot2 Knowledge of statistics and optimization techniques Hands-on experience with medium to large datasets (i.e. data extraction, cleaning, analysis and presentation) PREFERRED QUALIFICATIONS Technical knowledge of data center operations Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com." Data Scientist,"Inver Grove Heights, MN",CHS Inc.,"CHS has an exciting opportunity in Global Grain Marketing North America. We are looking for a Data Scientist to provide data driven actionable insights and recommendations to the business by leveraging data from multiple sources including both SAP and Legacy systems. Interpret trends and patterns using statistical techniques and tools. Provide visualization tools to provide clear/concise insights to business partners and external stakeholders. You will: Use predictive modeling and data analytics to solve business problems and provide insights to improve decision-making. Facilitate requirements gathering and analysis from process areas and business subject matter experts. Analyze conflicts between business and process area data requirements. Develop algorithms and deploy solutions to business problems/questions based on real-world data. Forecast impact of process changes and various market scenarios to operating/ financial performance. Identify and integrate new data (internal & external) to improve modeling and business decisions. Collaborate with business and subject matter experts to identify, analyze and document data sources – SAP, Point Solutions, & Legacy Systems. Contribute information to category management, product management and strategic planning processes. Provide stewardship of critical master data through data request process validation and enrichment procedures. Participate in technology decisions to enable data governance processes and data quality monitoring. Facilitate target system data requirements and gap analysis vs current source systems. Transform data from disparate sources to provide normalized reporting results. Establish data normalization and cleansing rules necessary to enable required analytics capabilities. Collaborate with business and technical SMEs to identify, analyze, and document data transformation rules from legacy source systems. Develop visualization tools to provide clear and concise insights to business partners and external stakeholders. Facilitate, support and train business subject matter experts on visualization tools to promote self-service. Maintain and promote a strong safety culture and follow all safety policies, procedures and regulations. Identify and communicate workplace hazards and correct or seek assistance in correcting unsafe actions or conditions. Basic Qualifications: (required) Bachelor’s degree in Data Science, Statistics, or Mathematics or related field Up to 3 years of experience providing front-end data analysis, requirements gathering, design, testing, documentation & tools support Strong analytical skills both technical and business Ability to effectively communicate analytical concepts and findings to business stakeholders Ability to work independently Preferred Qualifications: (desired) High level programming skills – R or Python Experience with Data visualization tools – e.g. Power BI or Office 365 General knowledge of system lifecycle development and Agile concepts" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Richardson, TX",AT&T,"Description The purpose of Data Scientist role is to conceptualize, prototype, design, develop and implement large scale big data science solutions in the cloud and on premises, in close collaboration with product teams, data engineers and cloud enterprise teams. Competencies in implementing established as well as new machine learning, text mining and other data science driven solutions on cloud based technologies such as AWS are required. The data scientist will be knowledgeable and skilled in the emerging data science trends and must be able to provide technical guidance to the other data scientists in implementing emerging and advanced techniques. The data scientist must also be able to work closely with the product and business teams to conceptualize appropriate data science models and methods that meet the requirements. Qualifications Typically requires 10 or more years experience with a Masters of Science in Computer Science, Math or Scientific Computing or PhD in an approved field with a minimum of 6 years of relevant experience. Familiarity with TV and digital advertising and measurement domains is helpful but not mandatory." MAIDAP Data Scientist- Students and Recent Graduates,"Cambridge, MA",Microsoft,"A new technology paradigm is emerging, one with an intelligent cloud and an intelligent edge. To foster Microsoft’s leadership in this field, Microsoft has launched a ground-breaking program to develop the next generation of leaders in AI. Located at the Microsoft New England Research and Development Center (NERD), the Microsoft AI Development Acceleration Program (MAIDAP) is hiring soon-to-be and recent graduates from BS, MS, and PhD programs in Machine Learning or Data Science related fields. Over the course of two years, participants will work in interdisciplinary project teams to provide AI as a service to engineering teams across Microsoft and solve some of our most exciting and challenging AI problems. In addition, you will have mentors, exposure to leaders, and access to numerous AI data scientists, researchers and engineers across the company. After the program is completed, each participant will have the opportunity to work with one of the sponsoring Microsoft teams in Cambridge, MA or other Microsoft locations. Responsibilities Research, develop, and implement AI solutions in application projects for Microsoft’s products and services. Select and apply appropriate statistical and machine learning techniques to large-scale, high-dimensional data. Integrate AI solutions into the overall product or service. Stay current with the latest research and technology and communicate your knowledge throughout the organization. Take responsibility for preparing data for analysis, review data preparation/ETL code and provide critical feedback on issues of data integrity. Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers. Up to 10% travel may be required. Qualifications Currently pursuing a degree or graduated within the last 12 months with a degree in the following fields: Electrical Engineering, Computer Science, Data Science, Statistics, or other related fields. Prefer MS (or BS with 2+ years’ experience) Energized by creating AI solutions that can positively impact the work and lives of millions of people. Strong passion for data-driven learning. Excited by the prospect of working on a wide variety of datasets and AI applications, across many products and engineering teams. Believe that data science is a team sport. Love being an active member of a diverse and inclusive cohort. Strong background in machine learning and/or statistics. 1.5+ years’ experience in probabilistic graphical models/Bayesian networks/deep learning/reinforcement learning/time series/active learning, or other modeling paradigms. Experience in Python/R/Scala or similar Research publications are a plus. Excellent written and oral communication skills.Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work." Data scientist,"Richmond, VA",Change Healthcare,"Transforming the future of healthcare isn’t something we take lightly. It takes teams of the best and the brightest, working together to make an impact. As one of the largest healthcare technology companies in the U.S., we are a catalyst to accelerate the journey toward improved lives and healthier communities. Here at Change Healthcare, we’re using our influence to drive positive changes across the industry, and we want motivated and passionate people like you to help us continue to bring new and innovative ideas to life. If you’re ready to embrace your passion and do what you love with a company that’s committed to supporting your future, then you belong at Change Healthcare. Pursue purpose. Champion innovation. Earn trust. Be agile. Include all. Empower Your Future. Make a Difference. Data Scientist- designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Having wide-ranging experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways. Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. Networks with key contacts outside own area of expertise. Determines methods and procedures on new assignments and may coordinate activities of other personnel (Team Lead).Minimum Qualification and experience Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience.Join our team today where we are creating a better coordinated, increasingly collaborative, and more efficient healthcare system!" Data Scientist,"Glendale, CA",Beyond Limits,"Position Overview Our data science team is expanding! The successful candidate will work with the data science and engineering teams on challenging projects in a variety of domains. Beyond Limits is a pioneering Artificial Intelligence company and a satellite of NASA's Jet Propulsion Lab and Caltech. Beyond Limits cognitive computing technology combines numeric and symbolic techniques to provide advanced solutions that go far beyond conventional AI. Job Duties/Responsibilities Ingest, organize, and analyze data from various sources (e.g. CSV, relational database) Scope unstructured problems or messy data for tractable insights Identify candidate statistical or machine learning solutions and test their efficacy Communicate technical work and findings both verbally and through written reports and visualizations Work in a collaborative environment to brainstorm, design, implement and deliver solutions to challenging problems Qualifications and Skills 5+ years of relevant industry work experience Excellent understanding of statistical or machine learning techniques, such as clustering, regression, time series forecasting, tree-based methods, sampling methods Demonstrated ability using scientific computing libraries, such as NumPy, Pandas, SciPy, Scikit-learn, Matplotlib, and Plotly Programming proficiency in Python or R Preferred Requirements Ph.D. or Master’s Strong statistical knowledge and experience with hypothesis testing Fluency with machine learning algorithms, such as CNN, RNN, reinforcement learning, support vector machines, and graph-based models Experience with TensorFlow, Keras, or PyTorch Experience with version control systems (e.g. Git flow) Strong oral and verbal communication skills Research experience with high impact publications Experience working with cross-functional teams and/or customer facing work About Beyond Limits Beyond Limits is a pioneering Artificial Intelligence engineering company creating advanced software solutions that go beyond conventional AI. Founded in 2014 with a legacy in space exploration, Beyond Limits is transforming proven technologies from Caltech and NASA’s Jet Propulsion Laboratory into advanced AI solutions, hardened to industrial strength, and put to work for forward-looking companies on earth. We leverage this unparalleled innovation portfolio, along with proprietary cognitive technologies, to help companies solve tough, complex, mission-critical problems and transform their business. We apply a unique hybrid approach to AI, combining numeric AI techniques like machine learning with higher-order symbolic AI and expert human knowledge to deliver intuitive cognitive reasoning and information. Our cognitive computing technology mimics human thought processes and provides explainable reasoning to aid human-like decision-making. Beyond Limits provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Beyond Limits complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Beyond Limits expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Beyond Limit’s employees to perform their job duties may result in discipline up to and including discharge." "Data Scientist (Visualization), Creator","New York, NY 10011 (Flatiron District area)",Spotify,"We are looking for a Data Scientist specializing in communicating through data visualizations to join the Creator team that focuses on building tools for artists and the larger music industry. The team’s mission is to build features and services that help artists and their teams grow an audience, monetize their fans, and make their best art. In this role, using our petabytes of data, you will help deliver impactful dashboards and visualizations to understand connections between artists and listeners, track performance of our products and the impact they are having on artists’ careers. You will join a centralized insights team of data scientists, data engineers, and user researchers to produce novel research. You will work with senior leadership to ensure that the right information is available and accessible to build and track key metrics and understand our business performance. What you’ll do Perform analyses on large sets of data to extract meaningful insights that will help drive Spotify’s strategy across creator-facing products. Design, build, maintain and iterate on a suite of lasting visual dashboards to surface insights and track key metrics measuring the health of our marketplace. Collaborate with data scientists and engineers to communicate data-driven insights and recommendations to key partners through clear visualizations, presentations and self serve dashboards. Work on data projects that balance the needs of our two-sided marketplace, considering the goals of artists’ teams while maintaining listener satisfaction and discovery. Work closely with cross-functional teams of data scientists, engineers, and others across the company who are passionate about Spotify’s two sided marketplace and enabling artist’s growth. Contribute to the wider analytics community at Spotify by setting high-quality standards and methodologies. Who you are You have strong experience in a similar role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative subject area Very high level of expertise with data visualization tools or libraries (Tableau Desktop, Dash, D3.js or similar tools). You’re familiar with machine learning and data engineering concepts in production and at scale Proficiency with SQL and at least one scripting language (i.e. Python/Julia/R). Experience with Scala a plus. You’re a compelling storyteller who can communicate in succinct and inspiring ways to a variety of audience types to influence real world product or feature decisions You are a communicative person that values building positive relationships with colleagues and stakeholders and have the ability to explain complex topics in simple terms You are comfortable working with distributed teams across multiple offices and timezones You enjoy mentoring and teaching others You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be brilliant. So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 258 million users." Data Scientist - Indeed Hire,"Austin, TX 78731",Indeed,NA Data Scientist,"Dearborn, MI",Ford Motor Company,"Job Description: We are trusted advisers enabling Ford to see our business, know our customers and act in a meaningful way. We drive evidence-based decision making by providing timely, actionable and forward-looking insights to our One Ford business partners. The Analytics Research and Development team within Ford’s Global Data, Insight and Analytics (GDI&A) organization is looking for a highly skilled quantitative analyst / data scientist to assist in all levels of problem formulation, model development, evaluation, and deployment. The analyst will have significant autonomy in conducting research and selecting modeling methodologies. You will have the opportunity to work with some of the brightest global subject matter experts that are transforming the automotive and mobility industries. Analytics R&D is a cross-functional research team within Ford GDI&A that focuses on applying advanced quantitative methods to solve a wide variety of challenging problems across multiple business areas. Examples of past and current projects include: quantitative marketing analytics including large-scale consumer choice modeling and reinforcement learning; application of statistical, econometric, and machine learning techniques to economic and financial analysis; social network analysis; and quantitative financial risk management and portfolio optimization.Responsibilities: Research and apply quantitative techniques from fields such as statistics, econometrics, optimization, and machine / deep learning toward the solution of important business problems from many areas of the automotive and mobility industry Enable evidence-based decision making by extracting insights from structured and unstructured data sets that are often large and high-dimensional Collaborate with other teams within GDIA in the model development and delivery process Identify new and novel data sources and explore their potential use in developing actionable business insights Explore emerging technologies and analytic solutions for use in quantitative model development Help maintain and enhance existing modelsBasic Qualifications: Master’s degree in a quantitative field such as Statistics, Economics/Econometrics, Applied Mathematics, Computer Science, Physics, Engineering, Operations Research, Cognitive Neuroscience, or Quantitative Finance 3+ years of experience (including time spent as a graduate student) doing quantitative research in any of the following areas: econometrics, statistics, time series analysis, Bayesian methods, machine / deep learning, optimization / mathematical programming 2+ years of experience in at least one of the following languages: Python, R, Scala, MATLAB, Java, C/C++/C#, SAS Preferred Qualifications: Ph.D. in a quantitative field such as Statistics, Economics/Econometrics, Applied Mathematics, Computer Science, Physics, Engineering, Operations Research, Cognitive Neuroscience, Quantitative Social Science, Quantitative Finance, etc. 1+ year of post-graduate work experience (in a business or post-doc setting) involving complex quantitative modeling and analysis in any of the areas mentioned under Basic Qualifications Demonstrated skills in applying techniques from econometrics, statistics, and/or machine / deep learning to large, high-dimensional structured and unstructured data sets Experience with big data technologies such as Spark, Hadoop, Map/Reduce, Hive, etc. Experience with parallel / grid / GPU computing Good oral and written communication skills Comfortable working in an environment where problems are not always well-defined Join our team as we create tomorrow! We believe in putting people first, working together, and facing challenges head-on, because we’re Built Ford Tough. We’re one team striving to make people’s lives better while creating value, delivering excellence and ultimately going for the win. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status." "Data Scientist, Machine Learning Evaluation","San Francisco, CA 94107 (South of Market area)",Adobe,"Data Scientist, Machine Learning Data Machine Learning is a critical part of Adobe’s Cloud offering. Adobe Clouds enable customers to create and manage digital content, such as assets, composites, 3D, documents etc., and digital experience and transformations. Creative Cloud is focused on visual imagination and creation, and includes such well-known products as Photoshop CC, Illustrator CC, Lightroom CC, and Adobe Stock. Document Cloud is centered around the creation and management of textual documents, including Acrobat DC and Adobe Sign. Experience Cloud is the set of offerings for the large-scale enterprise, covering marketing, advertising, and analytics. We are building new machine learning platform, called Adobe Sensei, that powers machine learning and AI across all of these Adobe Cloud product lines. This platform will enable thousands of applied researchers, millions of users, and billions of content pieces. The objective is to make machine learning offerings a world-class, leading-edge, differentiating product in Adobe Cloud ecosystem. We match the pace, innovation and excitement of a startup, backed by the resources and infrastructure of Adobe! A crucial piece of developing machine learning solutions is the evaluation process. How do we know the quality of our algorithms and models? What is the ground truth we use for judging them? Where do they succeed and how do they fail? These problems are even more subtle in the complex, creative domains of Adobe products – for example, how should we judge the quality of similarity search, where a user finds new images with an image as the query? Equally core to the ML process is the training set itself. Such training sets often include human judgments, elicted at large scale, which form the target that the ML process predicts. How can you participate? We’re looking for data scientists to define, drive, and coordinate evaluation and training set construction for the Applied Machine Learning team at Adobe. This will involve thinking hard about product quality, the role of machine learning in those products, and the capabilities of both A/B tests and human-judgment tasks to produce training sets for ML as well as quantitative evaluations that measure how well our AI/ML algorithms are doing their jobs Responsibilities: Work closely with product, research, and engineering leaders to understand ML applications and define success Design evaluation tasks and guidelines for human judgment to measure the performance of machine-learned and other advanced algorithms. Design human judgment tasks that will create training sets for useful machine-learned models. Create a winning culture built on collaboration and shared accomplishments- have fun along the way! Qualifications: BS or MS in a technical field (Computer Science, Physics, Math, Statistics) OR in a human-centered field such as Psychology, Linguistics, Human-Computer Interaction. Exposure to applied machine learning in an industrial setting Experience in validation and evaluation of machine learned models Strong quantitative orientation Understanding of issues around ground truth and training sets for ML, including human judgment and A/B testing Hands-on experience using third-party judgment services such as Crowdflower, Appen, or Amazon Mechanical Turk At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists . You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age , sexual orientation, gender identity, disability or veteran status." Data Science Intern,"San Diego, CA 92121 (Sorrento Valley area)",SiO Digital,"Responsibilities Work on high-visibility projects (e.g. price optimization, content marketing, and demand forecasting) Participate in customer engagement, product definition, success metrics, prioritize features, to deliver a polished market-ready product Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, and effectively communicate findings and provide key insights/recommendations to various functional leads Own cross-functional interactions for your features (across eng/marketing/field/sales) Requirements Degree or currently pursuing degree in a quantitative discipline (e.g. Operations Research, Statistics, Economics) Proficient knowledge of R or Python, SQL Comfortable with quantitative analysis, statistical techniques, data mining Good communicator (written & visual presentation) Strong interpersonal skills and ability to influence others Great team player" Data Scientist,"Seattle, WA",ActZero.ai,"At ActZero, our mission is simple: Stop cyber threats, protect the world.We are developing the most effective, managed security service powered by AI, while building a rewarding and values-centered environment for our team. As the Senior Data Scientist on the ActZero Data Science Team, reporting to the Head of Data Science, your job is to analyze and build predictive models on terabytes of customer data to detect and prevent cyberthreats. You will employ your curiosity and creativity in finding unique methods for anomaly detection and threat classification. You will advise our Platform Engineering Team on how to effectively build ETL pipelines for data science analysis, model building, and model evaluation, and will participate in creating the data science workflow and best practices. We're a team of talented engineers and security professionals. Our team has led cybersecurity at the White House, led NVIDIA's cloud platform, helped build Akamai's security practice, and launched ML at WatchGuard. While we're a small and rapidly growing team, we have the stability and funding of a series B company. We believe in doing the best work of our careers in a collaborative environment supported by work-life balance, great benefits, a stable work environment, and building a culture led by our values (https://www.keyvalues.com/actzero). You will ... Create the ML models necessary to detect and stop cyberthreats for businesses around the world Using data analysis, identify new opportunities to use data science, ML and AI to improve cybersecurity for our customers Develop and help measure company metrics around data quality and model evaluation criteria Partner with Platform Engineering to help them create ETL to create data stores that can be used for both data science and production purposes.We'd like to speak with you if you have ... Strong knowledge of analytics and predictive modeling, including experience with statistical models, deep learning, and deploying machine learning models into a production environment. A passion for and experience working with big data An innovative and passionate spirit, an ability to overcome technical issues in a cooperative environment, a commitment to ship quickly, and familiarity with agile software development practices. Programming experience with Python or Spark. Experience with developing model-based products from an idea to a finished product. The ability to deal with ambiguity, communicate technical topics with both partner teams and non-technical stakeholders, and a compassionate understanding of the customer experienceAbout ActZero ActZero is building the most effective, AI-powered MSSP. We foster a culture centered upon our customers and rooted in mutual trust and committed to execution, where we continuously learn and improve, like the AI systems we develop. Founded in 2019, ActZero is backed by Point72 Ventures, a global venture capital firm led by a diverse set of domain experts with the capital to support rounds through all stages of company growth. ActZero celebrates diversity and is committed to creating an inclusive workplace. We are an Equal Opportunity Employer and consider, develop and retain candidates without regards to race, color, national origin, sex, age, religion, sexual orientation, gender identity, veteran status, marital status, physical or mental disability, or other protected classes under all local, state, and federal laws and ordinances. If you'd like to learn more about our company culture, please take a look at our Key Values profile: https://www.keyvalues.com/actzero." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Sunnyvale, CA",HCL America,"We are looking for a Data Scientistto be part of our Tech OfficeWhat are we looking for: · Master’s in data science or Ph.D.in Data Science· Over 10 years of Industry Experience and· At least 4-year experience in Machine Learning/Deep Learning· Extensive Experience in Python OR RStudio. Experience in DL Frameworks like Tensorflow.· Experiencing in Leading/Mentoring a team of data scientists in ML/DL· Ability to prototype/build ML applications using cognitive Analytics technologies in close collaboration with Solution Architecture and Software Engineering teams· Prior Analytics experience in any one Industry (or more) healthcare, automotive, aerospace, consumer products and manufacturing (indicative list)· Experience in solving client's analytics problems and effectively communicating results and methodologies· Proven ability to rationalize disparate data sources and the ability to intuit the large picture within a dataset· Knowledge and experience working with Hadoop Eco System, Spark and distributed computing systems is a plus· Knowledge of statistics, machine learning, Deep Learning and data mining techniques*Please, submit your resume in English if you consider your profile matches with this opportunity*hcl_ers Job Type: Full-time" Junior Data Scientist,"Chicago, IL",Hitachi Solutions,"Company Description Hitachi Solutions is a core IT Company of the Hitachi Group, which employs over 330,000 people worldwide. Headquartered in Tokyo, Japan, Hitachi Solutions' reach extends to group companies in Japan and abroad, working with a worldwide network of alliance partners. Through systems integration, we strive to provide ideal solutions and products to customers in a diverse set of countries and regions including Asia, North America and Europe. Using a portfolio of management consulting, implementation, and support services, we help our clients compete with the largest global enterprises leveraging powerful, affordable, and easy to use industry solutions built on Microsoft technologies. Our vision is to help you achieve your vision through superior products, prices, and people. Job Description Are you looking to work at the forefront of artificial intelligence and machine learning? We have a significant data analytics and management presence across many industries. With that footprint comes massive amounts of data that can inform us about markets and ways to improve our client business practices. This position will be part of the Data Science and Machine Learning team and will bring strong quantitative skills to our data science capabilities. You work in a multidisciplinary team exploring, connecting and mining internal data sources and will develop data models using algorithms for pattern detection and forecasting. In this position you will be managing projects that use advanced analytics techniques, such as optimization, forecasting, machine learning, predictive analytics, and statistical analysis, to develop solutions that help deliver significant value to a variety of our partners and clients. You will be exposed to a wide spectrum of high visibility projects ranging from sales effectiveness, competitive intelligence, fraud detection, time series forecasting, operational efficiency, sourcing and procurement, supply-chain optimization and financial analysis. Why is this role important for our company’s work? Quite simply, our clients and engineers need you. You’ll provide a fresh perspective to our industry experts who have 10-20 years of experience. You’ll come with a hungry mindset that is collaborative and helpful. With your perspective, we’ll transform existing practices to think differently about innovation, will optimize existing processes and systems in the organization, and will think high-level about business impact to the greater world. Once you’re here… You'll have full access to our reference architecture. Our services methodology is built on reusable technology components, patterns, and processes that have been refined and proven on thousands of production solutions. You’ll learn to develop complex data architectures, solve for real-time data needs of large businesses, and navigate the changing landscape of the Azure stack. You will collaborate regularly with our experts, work across numerous industries, clients, and technologies. You will learn something new every day and begin adding value to our team almost immediately. We have our flagship Launch Program to get you up to speed as quickly as possible. You will partner with clients across several key industries including Healthcare, Manufacturing and Industrial Products, Financial Services, Professional Services, Engineering and High Technology, Retail and more. Responsibilities:Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects. Develop visualization products to share analysis across a large group of business users.Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies. Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables. QualificationsBachelor's degree from an accredited college/university in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research or related fields.(Preferred) Master's degree in data science, applied mathematics, or bioinformatics.Knowledge of various modeling algorithms e.g. Linear, GLMs, trees based models, neural networks, clustering, PCA, and time series models. Additional Information Beyond the tech, you'll benefit from dollar for dollar 401(k) matching (up to 6% of your salary), ongoing structured learning opportunities, subsidized healthcare, vision, and dental plans (amongst others), a fully stocked snack, coffee, and drink bar, and a laid-back team looking to disrupt the status quo." Jr. Data Scientist,"Camden, NJ 08103 (Central Waterfront area)",US Cold Storage,"Overview: Job Title: Jr. Data Scientist Who We Are: USCS is driven to advance, innovate and serve companies seeking the best service, facilities, and logistics in the cold chain. We are employee focused, an equal employment opportunity employer and would love to have you join our team.The Job Details: The Jr. data scientist is responsible for bringing value to data through data analysis to arrive at defensible solutions/answers to company challenges. As a specialist on machine learning techniques, the Jr. data scientist will also develop and apply machine learning methods in projects across USCS. Duties and Responsibilities include the following: Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies Solve problems with supervised or in supervised machine learning methodologies Use predictive modeling to increase and optimize customer experiences, revenue generation, cost optimization and other business outcomes Apply and develop machine learning techniques to drive the implementation of AI processes Develop algorithms that can receive input data and leverage statistical models to predict an output while updating outputs as new data becomes available Develop personalized data products to help USCS better understand themselves and their customers to make better business decisions The Job Specifics: Location, Department and Work Hours: Camden, IT Reports To: Big Data Lead Travel Amount: Anticipate travel at 10% and increased travel during the realization phase on implementation. Job Type, EEO, and Job Code: Full-Time, Exempt Professional What We Are Looking For: Education Master’s degree in Computer Science/Data Science/Statistics/Mathematics or equivalent experience Experience Experience with Machine Learning methodologies Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc Experience querying databases and using statistical computer languages: R, Python, etc. Experience with Supply Chain or Logistics is a plus Hands on experience on developing and implementing Machine Learning models Experience with agile practices and methodologies Technical skills in the creation of self-service reporting and analytical tools Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Advanced math skills (linear algebra, Bayesian statistics, group theory) Other Abilities You Will Need to Have: The physical demands described below are representative of those required of an individual performing the essential duties of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties. Good arithmetic, reading, and typing skills Sit and/or stand for extended periods of time Be able to see, speak and hear Ability to work overtime as needed May require physical effort associated with using the computer to access information, or occasional standing, walking, lifting needed to carry out everyday activities Understand and follow verbal instruction, written instruction and company policies A starter that can work independently and coordinate with others Follow safety procedures at all times Ability to manage stress and productivity guidelines The Standard Details: Always maintain a professional manner in appearance and communications Participate in staff and/or customer meetings if required Initiate action to prevent the occurrence of any non-conformities relating to product, process, and quality systems Identify and record any issues relating to product, processes and/or quality Initiate, recommend, or provide solutions through appropriate channels Verify the implementation of solutions Follow posted security procedures at all times while in the building Participate in Safety and Educational Training What’s In It For You: A great company with great people. Full-time employees not under contract are offered: 401K and Educational Assistance after 1 year; If elected, Blue Cross Blue Shield after 30 days of service; Company Life Insurance; and a bunch of other great perks. Things We Need To Mention: The above job description may not include all tasks necessary to complete the job. Job functions may vary based on area of operation. The job description is a listing of the most common tasks the associate will be required to perform in that job area. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties." Data Scientist / Machine Learning Engineer,"Boston, MA",Nike,"Become a Part of the NIKE, Inc. Team NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game. WHO ARE WE LOOKING FOR? We need passionate Data Scientists & Machine Learning Engineers to join our team. You are an extraordinary teammate with a drive for understanding why. You love to use your creativity to engineer novel explanations, and you use data to provide the evidence. You are comfortable working in an agile environment that is focused on delivering solutions that have big business value. You thrive when surrounded by talented colleagues and aim to never stop learning. We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities both within Nike and at-large.WHAT WILL YOU WORK ON? As a Data Scientist or Machine Learning Engineer, you will develop and implement novel statistical / machine learning approaches to real-world, large scale problems that have a direct impact on the business. You’ll be translating business problems into prediction models and optimization programs, implemented with professional software engineering skills. WHO WILL YOU WORK WITH? We have an experienced team that built a successful startup and are now focused on scaling our technology to meet the needs of the biggest brand in the world. We operate in a product model where you will work in a team with other talented data scientists and machine learning engineers, as well as other software engineers and business experts focused on delivering value. In this way, you’ll have end-to-end visibility of how your work affects the business. WHAT YOU BRING TO NIKE Strong problem solving and analytical mindset Develop novel statistical / machine learning approaches to real world, large scale problems Agile development experience, preferably with Python Ability to quickly pick up new programming languages, technologies, and frameworks Translate business problems and solutions into algorithms and production-grade code Effective communication skills (with team members, the business, and in code NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world. NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability." BERD Statistician,"Los Angeles, CA",USC,"The Southern California Clinical and Translational Science Institute (SC CTSI) is a research organization at the University of Southern California (USC) and Children’s’ Hospital Los Angeles (CHLA). Our mission is to support, promote and accelerate scientific discoveries and their application in real-life settings to improve health in diverse populations. SC CTSI develops and provides resources, services, trainings and tools in support of researchers, academic leadership and partners that collaborate to achieve this exciting mission. Join our team as the BERD Statistician! Summary: The BERD Statistician will perform data management and statistical analysis under the direction of Principal Investigators for complex research projects. Communicates with investigators to understand and advise on scientific questions, database structures, analysis needs, and analytic results. Develops charts, graphs and tables to display results; assists in writing statistical methods and results for IRB applications, scientific abstracts, and publications. Develops research databases; may lead data entry staff, as assigned. Key Responsibilities: Evaluates, recommends and implements procedures for data management and quality control. Develops input methodology and data file structure. Oversees data entry and maintenance of data files, including backups and hard copies. Provides guidance to data entry staff, as assigned. Schedules, assigns and prioritizes workloads. Sets appropriate deadlines. Monitors employee performance on day-to-day basis. Ensures timely completion of work. Performs data analysis using statistical methods. Reviews results for anomalies, investigates to determine cause, and makes corrections if necessary. Assists in interpretation of results and prepares tables or graphs for inclusion in reports and research papers. Assists in preparation of technical reports and papers on the research project's statistical methods and results. Assists Principal Investigators in writing scholarly empirical papers for publication and presentation. Keeps informed of developments in field. Reads journals and other relevant publications, attends professional association meetings and seminars as appropriate. Performs other related duties as assigned or requested. The university reserves the right to add or change duties at any time. Minimum Education: Master's degree, Combined experience/education as substitute for minimum education Minimum Experience: 2 years, Combined education/experience as substitute for minimum experience Minimum Field of Expertise: Biometry, Biostatistics or Statistics; mainframe computer and PC experience; experience with SAS, Epilog, BMDP, GLIM or SPSS." Data Scientist I,"San Diego, CA 92108",Knowesis Inc.,"Job Description: Knowesis is looking for personnel to support the United States Special Operations Command Preservation of the Force and Family (USSOCOM POTFF) program in identifying and implementing innovative, valuable solutions across the Special Operations Forces (SOF) enterprise aimed at improving the short and long-term well-being of SOF warriors and their families. This work will be performed at the client’s location on Coronado Naval Station (San Diego CA). Position Requirements/Specific Tasks: Enter, clean, and conduct basic data manipulation and analysis. Build and disseminate databases and spreadsheets designed to record POTFF related programmatic data. Provide consultation and assistance to supported units and POTFF staff to identify opportunities and methods for capturing data relating to POTFF programs and initiatives. Prepare reports and presentations that accurately convey data trends and associated analysis. Enter and analyze data within government systems. Required Experience: Experience and Skills: Proficient with the suite of Microsoft Office programs, including Word, Excel, and Access. Prior experience using statistical software application such as SPSS, SAS, and R. Possess excellent communication skills, presentation skills, and shall be highly detail oriented. Tableau experience or certification (preferred but not mandatory). A qualified candidate will: Work in consultation with POTFF program staff and the Government’s POTFF biostatistician. Serve as the analytical lead in support of program manager. Be able to use statistics and data visualization techniques to provide an accessible way to see and understand trends, outliers, and patterns in data. Be able to read, write, and speak English fluently and clearly in order to effectively communicate with all personnel for which they will interact. Possess sufficient initiative, interpersonal relationship skills and social sensitivity such that they can relate constructively to a variety of contacts from diverse background. A certification or documented experience with Human Performance is preferred. Education: Bachelor’s Degree in quantitative science, social science or related discipline (Bachelor’s Degree in Sports Science with minor in a quantitative science may be acceptable). Clearance Type: Secret From: Knowesis Inc." Applied Data Scientist,"Redmond, WA",Microsoft,"Microsoft’s mission is to empower every person and organization on the planet to achieve more, and we believe this mission has never been more important. It guides work across the company to recognize the enormous opportunity and responsibility to ensure that the technology we create benefits everyone on the planet, as well as benefitting the planet itself. To fulfill this mission, we are looking for an individual that is passionate about our planet and Sustainability Product Innovation. Microsoft is committed to a more sustainable future backed by a $1B planned spend and carbon emission goals that are unparalleled in the industry. This work will include synthesizing data across a variety of environmental disciplines and leverage data science to recommend, guide Microsoft in its ambition and help millions of customers and partners of Microsoft to achieve their sustainability goals. This new role will be an integral part of a new team dedicated to internal and external stakeholder engagement on sustainability. As part of the Cloud Supply Chain Sustainability (CSCS) team in Azure, we are at the heart of Microsoft’s cloud strategy. This new team is eager to deliver a sustainability platform for our customers & partners by combining science-based approach to climate change with strong engineering culture of delivering platforms and services on Azure using the latest technologies in machine learning, the Internet of Things. The candidate will be responsible for delivering sustainability data platform that spans structured, unstructured data from heterogenous sources, analytics, insights and recommendations on Azure-hosted cloud services and mobile devices with enterprise scale and security that organizations have come to expect from Microsoft. This is an opportunity to work on a large technology stack, in an open and diverse environment, tackling big and complex challenges, and collaborating with a variety of partners and stakeholders to define the future of sustainability solutions. Responsibilities Collect, organize and analyze data from multiple environmental sources, Azure usage data, organize them so that they can be consumed Create self-services experiences to various stake holders. (Examples – Power BI, Power Apps, Email Notifications etc.) Develop and deploy data pipelines that forms the core of the sustainability platform Develop recommendations for Azure customers on how to best achieve their sustainability goals and deliver them through the Azure portal or equivalent experiences Qualifications Required 4+ years of software design and programming experience with languages like C/C++/C#/Java/Python required. 2+ years of experience developing applications in the cloud using technologies such as SQL, Kusto, Databricks, Azure ML, Spark etc. Bachelor’s degree in Computer Science or Engineering, or a related field, or equivalent alternative education, skills, and/or practical experience Preferred Experience that spans the full software/service delivery lifecycle – SW engineering, Program Management and Data Science/Engineering. Experience in delivering insights through data science, AI or machine learning techniques. E.g., neural networks for NLP, computer vision, etc., random forests and other supervised methods, clustering, PCA, etc. Candidate would be hypothesis driven, with a passion for data and a bias for action. Candidate should be experienced in framing and participating in data-driven business decisions, including measuring and evaluating outcomes. Candidate must be able communicate complex ideas and concepts to leadership and deliver results. Candidate must be comfortable in manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems The Team player with proven ability to build trusted relationships. Demonstrated ability to work efficiently, prioritize workflow, and meet demanding deadlines. Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work." "Data Scientist – Python, R, NLP","Irvine, CA",Food People,"Overview One of the fastest growing startups is seeking a Data Scientist. They build a product that integrates Salesforce with Google. If you are a Data Scientist with Python experience, please read on! What You Will Be Doing – Deal with with unstructured text, structured business data, and semi-structured relationship data. – Work on a Big Data platform – Work with a team of highly intelligent engineers that have a proven track record of success. – Transform sales from being driven by intuition to driven by science and data Company: Unknown company Qualifications: What You Need for this Position – Master’s or PhD in Computer Science, Data Science, Business Analytics, Applied Mathematics, Physics – Python – R – NLP (natural language processing) – Machine learning techniques (regression, classifiers, clustering) Bonus Points for: – Experience developing and shipping a data science product. – Experience with graph algorithms and network analysis Specific requirements: Applicants must be authorized to work in the U.S. Educational level: Master Degree Tagged as: Big Data, Clustering, Data Mining, Industry, Machine Learning, Master Degree, United States You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer." Data Scientist,"Southfield, MI",Gonzalez Contract Services,"In this role the ideal candidate will act as a network and think innovatively while executing the following responsibilities:· Develop software for IoT, Artificial Intelligence and Machine Learning applications.· Coordinate, implement and deploy analytical models for anomaly detection, preventive maintenance, quality monitoring and performance improvements.· Integrate hardware/sensors and develop software to manage IoT/Industry 4.0 applications.· Configuring, coding, developing, and documenting software specifications throughout the project life cycle.· Collaborate/coordinate the work with start-ups and other digital companies.· Direct research on emerging trends/solutions/standards in Automation and IoT/Industry 4.0.· Work in strict collaboration with universities and students. * Advanced skill levels with deep learning and machine learning algorithms, statistical modeling and regression analysis, open-source frameworks (e.g Scikit-learn, Caffe, PyTorch, TensorFlow, JetPack) and applications. * Experience in programming and code debugging in one or more of these languages: Python, Java, R, C++, C#, etc. * Master or PhD in Computer Science, Computer Engineering or related technical fields.Job Types: Full-time, Temporary, ContractExperience:IoT, Artificial Intelligence and Machine Learning Apps: 3 years (Required)Education:Master's (Required)" Data Scientist,"Washington, DC 20001 (Shaw area)",Analytica,"Analytica is seeking a Data Scientist with an emphasis on statistical analytics within a newly deployed cloud-based platform to support a complex set of Federal Financial Compliance and Enforcement challenges. The position will apply statistical programming, statistical visualization techniques, modeling, and forecasting skills to analyze Federal Financial use cases. The Data Scientist will provide daily guidance and co-development support to Federal and Contractor user communities with a diverse set of financial, compliance, and enforcement business problems. This role will support quality management, user stories, and performance standards for a Data Science community made up of diverse Federal and Contractor resources. The ideal candidate will enjoy engaging with stakeholders, learning their business problems, providing technical guidance, evangelizing the team’s data science capabilities. This position will sit in Washington, DC.Minimum Qualifications: Master's degree required, and PhD preferred High degree of experience utilizing SAS, R, or Python to support the development of complex statistical use cases that involve high dollar amounts, sensitive issues, or that otherwise meet criteria for Federal compliance and enforcement At least five years of statistical analysis Experience with a distributed enterprise Business Intelligence platform such a SAS, Tableau, or Qlik. Experience with development of predictive analytics models to determine performance comparison and probability Experience coordinating and maintaining user stories Additional Skills: Familiar with open-source alternatives to major vendor BI and Data Science tools Comfortable with varied data visualization techniques to help stakeholders determine intuitive reporting. Examples include temporal depiction, outlier identification, and interactive usability. Comfortable with an Agile methodology such as Scrum, Kanban, or Lean to include experience with practices such as backlog management and user stories Awareness of DevOps tools such as Jenkins, Docker, ELK stack and the role of data science within continual integration, continual development Experience with performing analytics from a cloud platform About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA certified HUBZone and 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Scientist,"Nashville, TN",Amazon.com Services LLC,"A Bachelor or Masters Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experiencePrevious experience in a research science, ML, or data scientist role and a track record of strong statistical analysis and building ML or DL modelsStrong background and experience using Python and/or RExperience using ML libraries, such as scikit-learn, caret, mlr, mllibExperienced in using multiple statistical/data science methodologies to solve complex business problems.Experienced in handling large data sets using SQL and databases in a business environment.Excellent verbal and written communication. Strong ability to interact, communicate, present, and influence within multiple levels of the organization We're a company of pioneers. It's our job to make bold bets and we get our energy from inventing on behalf of customers. Success is measured against the possible, not the probable. For today’s pioneers, that’s exactly why there’s no place on Earth they’d rather build than here. The OpsTech IT team needs an individual with excellent analytical abilities, knowledge of business intelligence solutions, as well as outstanding business acumen and the ability to work with quantitative and business teams. Our top candidate will be a self-starter comfortable forging their own trail, with a sharp eye for details, an ability to work in a fast-paced and ever-changing environment, and the ability to communicate effectively with senior leadership. The ideal candidate is an independent and curious self-starter with a demonstrated ability to produce high-quality technical content, drive complex documentation projects, collaborate with technologists and subject matter experts, and have a high tolerance for ambiguity and a bias toward action. Responsibilities Include:Collaborate with IT business leaders, and peer researchers on innovative hypothesis-driven research projects and a corresponding analytics roadmap to inform business actions.Collaborate with business intelligence engineers and data engineers to build measurement plans/scalable research studies for assessing the impact of treatment/interventions on critical business KPI’s and metricsDesign, develop and evaluate models for prediction and forecasting purposesEstablish scalable, efficient, automated, and easily repeated processes for large scale data analyses for the broader orgIntegrate statistical analysis and prediction into current reporting dashboards in R ShinyProvide ad-hoc or special project statistical analysis leaders that enable them to achieve their goals, drive decision making and create new strategies where necessaryGather, manage, and evaluate large datasets from multiple sourcesBuild and maintain strong partnerships across the business Master's degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with at least 2 years of working experience as a Data or Research Scientist.Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us." Data Scientist,"New York, NY 10014 (SoHo area)",Digitas,"Company Description About Digitas Digitas is The Connected Marketing Agency, committed to helping brands better connect with people through Truth. Connection. Wonder. With diverse expertise in data, strategy, creative, media, and tech, we work across capabilities and continents to make better connections and achieve ambitious outcomes through ideas that excite, provoke and inspire. Curious and fully transparent, we are always examining real human behavior to create authentic connections—between brands and consumers, clients and partners, and ideas and outcomes. Digitas has 3,500 employees across 21 countries and 34 offices, with an extended network via Publicis Media of over 23,500 employees present in more than 100 countries worldwide. To connect with Digitas or learn more, visit www.digitas.com Job Description Data & Analysis – Data Scientist Digitas is a highly-caffeinated playground where brilliant minds come together to bring bold, award-winning ideas to life. The Data & Analysis team uses data-driven insights to fuel strategic growth for clients. We believe that data should never exist in a vacuum; instead, it should be put to work to bring the best ideas and stories to our clients. Digitas’ Data Science practice sits within our DNA (Data & Analysis) capability, and develops industry-leading analytical solutions for clients across industries, channels and business functions. We apply a bespoke and cutting-edge arsenal of statistical, analytical and computing techniques to complex data problems at scale, with an emphasis on game-changing—and measureable—business impact. We work in close collaboration with colleagues across all agency disciplines to develop truly innovative, highly effective, data-powered solutions for our clients. To help with this, we’re looking for an outstanding Data Scientist – an intellectually curious and creative problem solver who is willing to tackle the familiar and unfamiliar of all things data, including methods, technologies and applications. Sound like you? Read on. What you’ll do: Our Data Scientists deliver analytic solutions across a wide variety of client applications. We build inferential and predictive models, including machine learning algorithms and AI; we process, integrate and manipulate big data with distributed systems and customer data pipelines; we synthesize results and translate findings into compelling stories that resonate with clients. As a Data Scientist, you’ll address complex marketing and business challenges—from cross-channel media and customer experience optimization to segmentation, targeting and business strategy—by accessing, integrating, manipulating, mining and modeling a wide array of data sources. Day-to-day, your role includes:Translating marketing and business questions into data queries.Using distributed computing systems to access and manipulate big data sources.Conducting exploratory analysis to identify relevant insights and useful transformations.Applying quantitative techniques to uncover latent patterns in the data.Interpreting data, analytical results and visuals to generate conclusions and recommendations.Testing scalable data pipelines or models for real-time applications.Ensuring that analytic tasks and results meet established objectives and timelines.Sharing knowledge and conducting research to advance the collective knowledge and skills of our Data Science practice. We’re looking for relevant academic, research or work experience, which typically includes:A Bachelor’s or Master’s degree in a quantitative field such as statistics, mathematics, econometrics, operations research, data science, computer science, engineering, marketing or social science methods.Hands-on experience analyzing data for patterns and insights.Hands-on experience running basic statistical or machine learning procedures, such as descriptive statistics, hypothesis testing, supervised or unsupervised learning.Hands-on experience with Python or R. Familiarity with SQL, Linux, and/or distributed computing systems such as Hadoop or AWS preferred.Demonstrated interest in marketing analytic applications.Demonstrated self-starter who thrives in a fast-paced environment with flat structure. Got what it takes? We’d love to hear from you. Digitas is an equal opportunity employer. Qualifications null Additional Information All your information will be kept confidential according to EEO guidelines." Customer Data Scientist (Mountain View),"Mountain View, CA 94043",h2o.ai,"Company Overview H2O.ai is the open source leader in AI with a mission to democratize AI for everyone. H2O.ai is transforming the use of AI with software with its category-creating visionary open source machine learning platform, H2O. More than 18,000 companies use open-source H2O in mission-critical use cases for Finance, Insurance, Healthcare, Retail, Telco, Sales and Marketing. H2O Driverless AI uses ""AI to do AI"" in order to provide an easier, faster and cost-effective means of implementing data science. H2O.ai partners with leading technology companies such as NVIDIA, IBM, AWS, Intel, Microsoft Azure and Google Cloud Platform and is proud of its growing customer base which includes Capital One, Progressive Insurance, Comcast, Walgreens and MarketAxess. For more information and to learn more about how H2O.ai is driving an AI Transformation, visit www.h2o.ai. Job Summary: Can you code proficiently in at least one language used by data scientists and/or data engineers, and does it excite you to learn more? Are you skilled at predictive modeling? Do you view communication skills just as important as technical ones? Can you listen to the needs of your peers and customers and adapt where need be? Do you have a competitive drive to be the best you can be? Can you finish what you start? Can you own assignments given to you? If the answer is ""yes"" to these questions, you potentially could be an excellent fit to join the team of customer engineering makers at H2O.ai. We deliver world-class solution experiences for our customers and drive revenue for our organization. Some of the technical projects you will work on include: training advanced machine learning models at scale in distributed environments, influencing next generation data science tools and data products, and pioneering ideas and products in new areas, such as machine learning interpretability, automatic machine learning, model management, deployment pipelines, and GPU computing. Responsibilities and Duties: As a Customer Data Scientist, you will be part of Customer Success team working closely with sales directors to: Problem solve and assess technical problems, determine solutions, and work with internal engineering and customer teams to resolve them. Demonstrate ML solutions with engaging storytelling and technical accuracy. Architect, Design, and Deliver end to end machine learning workflows and systems from data ingestion to model deployment. Provide best practices and guidance to customers on machine learning workflows and systems from data ingestion to model deployment. Own account-related technical activities and relationships. Translate business use cases and requirements into technical ones. Communicate effectively to a diverse audience, including: engineers, business people, and executives. Audiences will be large and small, and interactions will be in-person and online. Drive field feedback back into product development and be very hands-on for all technical activities. Qualifications and Skills Bachelor's degree in engineering, computer science, mathematics or a related field. Graduate degree is a plus. 2+ years' experience with performing hands on Data Science and Machine Learning Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Visualization skills using R, Python or other languages and frameworks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. 2+ years' experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets. 2+ year working with data in Hadoop and /or Spark ecosystem Desirable: Maker mindset, coachable, and have an urge to learn/master new technologies H2O.ai Perks! Flexible work hours and time off. H2O.ai is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status. XseSpTNL0q" MAIDAP Data Scientist- Students and Recent Graduates,"Cambridge, MA",Microsoft,"A new technology paradigm is emerging, one with an intelligent cloud and an intelligent edge. To foster Microsoft’s leadership in this field, Microsoft has launched a ground-breaking program to develop the next generation of leaders in AI. Located at the Microsoft New England Research and Development Center (NERD), the Microsoft AI Development Acceleration Program (MAIDAP) is hiring soon-to-be and recent graduates from BS, MS, and PhD programs in Machine Learning or Data Science related fields. Over the course of two years, participants will work in interdisciplinary project teams to provide AI as a service to engineering teams across Microsoft and solve some of our most exciting and challenging AI problems. In addition, you will have mentors, exposure to leaders, and access to numerous AI data scientists, researchers and engineers across the company. After the program is completed, each participant will have the opportunity to work with one of the sponsoring Microsoft teams in Cambridge, MA or other Microsoft locations. Responsibilities Research, develop, and implement AI solutions in application projects for Microsoft’s products and services. Select and apply appropriate statistical and machine learning techniques to large-scale, high-dimensional data. Integrate AI solutions into the overall product or service. Stay current with the latest research and technology and communicate your knowledge throughout the organization. Take responsibility for preparing data for analysis, review data preparation/ETL code and provide critical feedback on issues of data integrity. Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers. Up to 10% travel may be required. Qualifications Currently pursuing a degree or graduated within the last 12 months with a degree in the following fields: Electrical Engineering, Computer Science, Data Science, Statistics, or other related fields. Prefer MS (or BS with 2+ years’ experience) Energized by creating AI solutions that can positively impact the work and lives of millions of people. Strong passion for data-driven learning. Excited by the prospect of working on a wide variety of datasets and AI applications, across many products and engineering teams. Believe that data science is a team sport. Love being an active member of a diverse and inclusive cohort. Strong background in machine learning and/or statistics. 1.5+ years’ experience in probabilistic graphical models/Bayesian networks/deep learning/reinforcement learning/time series/active learning, or other modeling paradigms. Experience in Python/R/Scala or similar Research publications are a plus. Excellent written and oral communication skills.Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work." Data Scientist,"Gainesville, FL 32635",Bridgerock Data,"Company Description Founded in Silicon Valley, scaling in Gainesville, FL. We are a profitable, bootstrapped tech startup offering competitive salary + equity packages to top candidates. Our office is in the Innovation Hub in Downtown Gainesville. Our first cofounders met as early hires at the successful fintech startup, Square. Bridgerock Data is a Data Science first technology company focused on direct to consumer brands (DTC). This ecommerce market is growing fast. Few people know that at $61bn per year, the ecommerce platform, Shopify, sells more online than Walmart, and may soon pass the entire chain. Shopify, and its competitors, enable creative retail startups to flourish. The most successful of these all hit a major growth painpoint: Brands must advertise to grow, but marketers fear wasting money on ads. Bridgerock uses Data Science to show which ads are wasting money. We are not an AdTech agency. We audit the AdTech agencies. We solve important, practical, challenging problems. We focus on accuracy. Cutting low impact marketing spend is a big advantage to our clients. We are taking applications for several technical positions. If you are interested in what we do, or know our stack, please apply online or submit your resume and cover letter to people@bridgerockdata.com. Technologies we use Javascript, HTML, CSS, Jinja Postgres, Redshift Python, Django Roles Considered Engineering Lead Software Engineer Software Engineering Intern Full, Front, Back End Developer Data Analyst Data Scientist Job Description/Requirements Data Analyst or Data Scientist Write data routines primarily in SQL (Postgres and Redshift), sometimes in Python. Build key data sets to empower operational and exploratory analysis. Monitor key client metrics; understand root causes of changes in metrics. Build and analyze dashboards and reports. Evaluate and define metrics. Automate analyses and author pipelines via SQL and python based ETL framework. Partner cross functionally to identify opportunities for tools improvement. Full Stack Developer or Software Engineer Write Python in our Django framework Automate analyses and author pipelines via SQL and python based ETL framework. Partner cross functionally to identify opportunities for tools improvement. Build, scale, and maintain data warehouse infrastructure Rapidly prototype front end app At bridgerock, we value applicants with Excellent stakeholder management and communication skills while working with technical and non-technical audiences High standards for code quality, testing and performance Can-do attitude, fast learner, and great interpersonal skills Very strong attention to detail A desire to continue learning A personal commitment to quality Additional Information At Bridgerock Data, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status." Biological Data Scientist,"San Francisco, CA 94143 (Haight-Ashbury area)",University of California San Francisco,"The Data Science CoLab is seeking researchers in computational biology, bioinformatics, and data science to tackle current challenges in immunology. As part of the Data Science (DS) team, you will learn the analysis methods, as well as the conceptual and biological background, to analyze CyTOF and single-cell RNA sequencing data. Once comfortable with these methods, you will perform analyses to contribute to our understanding of immune state in our patient cohorts. You will integrate molecular data with clinical information in an effort to understand how the immune system impacts disease outcomes. You will be expected to document your analyses, present your progress and results, and participate in DS lab meetings. We currently have several projects examining the relationship between immune state and health outcomes in a variety of UCSF patient cohorts, including infection, autoimmunity, and cancer. Our aim is to better understand how the immune system is wired and responds, in order to develop better disease diagnosis and treatments. As a member of the lab, you will contribute to the design of new experiments, help maintain our computational infrastructure, and track the flow of samples and information for large-scale studies. This position is within the Data Science CoLab (dscolab.ucsf.edu). The Data Science CoLab is a collaboration-based research lab that focuses on biological data analysis and computational methods development. We are passionate about data science training for biologists who want to better engage with their data. In addition, we build tools for biologists to store and interact with their data. Our philosophy is that successful data-heavy projects happen by integrating biological understanding and intuition with advanced skills in data science. This can happen by facilitating close collaborations between experimental and computational biologists, as well as by empowering biologists to work with their own data. While this position requires some proficiency in programming and data analysis, the most competitive candidates are those who are fast and eager learners, who can readily adopt new bioinformatics pipelines/workflows that have been developed in the lab and the field at-large and apply them to a series of diverse projects. An aptitude for collaborative work and organization is required to excel in our environment of diverse researchers. The candidate will receive training in data analysis, as well as develop expertise and intuition in biology. This position is ideal for recent graduates and can serve as a stepping stone for a PhD program or career in bioinformatics, computational biology, or data science. Candidates may additionally apply for a spot in the CoLabs Postbac Research Program for additional training. THE COLABS CoLabs is a new model for research collaborations and core labs for the UCSF community. CoLabs brings together several established and successful but previously separate cores plus new institutional support into a new centralized research organization at the Parnassus campus. CoLabs seeks to revitalize the model for core resources by capitalizing on critical personnel and cutting-edge technologies and driving collaboration across disciplines. CoLabs will centralize research teams and create a set of common pipelines and workflows. It will recruit and retain world-class staff and develop transformative methods and technologies through engagement with the research community and institutional investments. The CoLabs initiative is launching now with participation of five founding CoLabs teams, Biological Imaging Development (BIDC), Data Science (DS), Disease to Biology (D2B), Flow Cytometry, and Genomics. The CoLabs will help organize and integrate the UCSF community through common pipelines and data curation around a set of collaborative “CoProjects” that will tackle fundamental questions in the biomedical research. CoProject day-to-day operations are managed and run through the CoLabs. Several CoProjects are already underway, with more coming in line soon. ABOUT UCSF The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences." "Data Analytics and Data Science Internship, Summer 2020 (Los Angeles)","Los Angeles, CA",IPG Mediabrands,"The Residency is a paid internship program within IPG Mediabrands dedicated to the career development of the media industry’s fresh and emerging talent. Our program is designed to provide real-life exposure and training to entry-level roles across our global agencies. These agencies include UM, Initiative, Orion, Kinesso, Cadreon, Healix, and IPG Media Lab, MAGNA, Rapport and Reprise. You will gain applicable media industry knowledge while building professional skills and general business acumen to launch a successful career in media. We are looking for Residents in the following areas: Research and Development Data and Analytics Ad Operations EngineeringResident Criteria: Currently enrolled in an accredited, college/university as a rising senior Current on all trends in media and digital All candidates must commit to working 10 consecutive weeks (Mid June 2020 - Mid August 2020)Required Skills: Proficient in MS Office (Word, Excel, PowerPoint and Outlook) Analytical mindset and able to work within Excel spreadsheets quickly & accurately Motivated self-starter Detail-oriented Ability to work independently Ability to juggle multiple projects and work well under deadlines Professional, reliable, results-oriented Enthusiastic about the media industry Storytelling abilitiesIPG Mediabrands was founded by Interpublic Group (NYSE: IPG) in 2007 to manage all of its global media related assets. Today, we manage over $39 billion in marketing investment on behalf of our clients, employing over 9,000 marketing communication specialists in more than 130 countries. IPG Mediabrands is a new world agency group designed with dynamic marketing at its core. Our speed, agility and data smarts ensure we continue to create growth for many of the world’s biggest brands. IPG Mediabrands’ network of agencies includes UM, Initiative, Orion, as well as specialty business units including Kinesso, Cadreon, Healix, IPG Media Lab, MAGNA, Rapport and Reprise." "Staff Data Scientist, Business Analytics","Mountain View, CA 94041",Intuit,"We are looking for a great data scientist for our Quickbooks Online (QBO) business. Quickbooks is used by over 5MM SMBs globally to run their businesses and we are the team responsible for using our data to answer the most critical questions facing the QBO Product Managers and Marketers. Everything from understanding the trends in our subscriber growth to shaping our product strategy through A/B testing and more happens within our team and we need top data scientists to help the business deliver the best possible product to our SMB customers. We are growing rapidly and need great people to support our analytical efforts in both Product and Marketing. What does it take to thrive on our team? You need to be a top-notch problem solver and problem identifier. It’s also a good idea to know the standard suite of analytical tools - SQL, R/Python, some sort of data visualization tool – but we’re more interested in your ability to quickly learn new tools as the set of tools available is constantly evolving. Last, knowing that in most cases done is better than perfect is important - getting the current problem right to the sixth decimal place is almost always less impactful than getting to the next problem. If this role sounds interesting go check out the product (https://quickbooks.intuit.com/) and if you find this exciting, then we look forward to hearing from you!" Senior Data Scientist,"Denver, CO 80202 (Lodo area)",Nexthealth,"NextHealth Technologies is a high growth, venture-backed company located in downtown Denver, Colorado. Our advanced analytics platform enables healthcare companies to make data-driven decisions that save money and optimize outcomes. We’re a tight-knit team of doers that thrive in a fast-paced and agile environment. We nerd-out on our AI and machine learning technology platform and our approach to big data analytics. Our team members enjoy: Competitive salary plus 10% annual bonus potential Stock options Unlimited PTO Medical benefits starting at $0 + HSA gift up to $350 every month $100 monthly commuter benefit Free onsite gym Senior Data Scientist NextHealth Technologies is currently looking for a Senior Data Scientist to join the company’s product and solutions team. Our goal is to make healthcare smarter. The position provides the opportunity to engage in cutting-edge healthcare research on a cross-functional team and contribute to developing products that have an impact on the healthcare industry with patient care. Responsibilities: Lead development of custom predictive and prescriptive algorithms interfacing with large data sets, based on principles from statistics, machine learning, and operations research Perform research as needed to extract cutting edge concepts from technical literature and apply them to relevant product features Work closely with scientists, engineers, and partners, to help evolve proof of concept systems into production at scale. Identify and promote the use of new technologies, toolkits, and frameworks, areas of inquiry, ways of working, methods and approaches in Computer Science, Artificial Intelligence, Software and Research Engineering. Work with clients, the head of Analytics, and the product development team to define desired requirements and capabilities Create integrated solutions using Python modules (including Pandas, Numpy, Scipy, SQLAlchemy, scikitlearn, and PySpark), PostgreSQL, and other tools as needed Required Experience: A graduate degree in Operations Research, Computer Science, Engineering, Applied Statistics or a related quantitative field. 3+ years experience beyond graduate school, which includes development of applied algorithms. Ability to develop algorithms in Python 3.x using Python libraries like pandas, numpy, scikitlearn, and pyspark Detailed knowledge of computer science including data structures, data modeling, distributed systems, and software design methods. Detailed knowledge in data science, machine learning, optimization, and statistics. Preferred Experience: Healthcare industry experience desirable. Spark experience desirable." Data Scientist - NLP,"East Palo Alto, CA",Amazon.com Services LLC,"Master's degree in Statistics, Data Science, Engineering, or related quantitative field.Experience with analyzing data.Strong experience with descriptive statistics and visualization tools.Experience with speech recognition, NLP, NLU or a similar field.Experience in using Python, or another scripting language (R, Perl); command line usage, e.g. Bash; C or C++. Are you a data-driven, detail-oriented scientist who thinks analytically and believes that everything can be measured and tested? D o you want to contribute to developing human language technology services for AWS customers around the world? We are looking for an organized, action-oriented, and experienced Data Scientist to join the AWS Data team (part of Amazon AI). In this role, you will lead a range of data analytics efforts, develop new metrics for novel applications and services, and help ensure that the data meet the needs of our broad and diverse customer base. Some of your key responsibilities will include:Diving deep into data, doing analysis and discovering patterns/root causes.Analyze and evaluate the quality of data used for model training and testing.Present proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.Collaborate with Language Engineers and Scientists on data collection and feature design efforts.Handle competing requests from a range of data customers.Create, enhance, and maintain technical documentation and present it to other scientists and business leaders. Excellent communication and organizational skills with significant attention to detail.Proven track in leading, mentoring and growing teams of scientists.Native or near-native fluency in Brazilian Portuguese, French, German, Japanese, Korean or other languages. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Scientist II,"Sacramento, CA",Electronic Arts,"Capital Games seeks an experienced data scientist who is passionate about mobile games and making data actionable in live service management. We use data to: Capital Games is fast-paced and collaborative. As a Sr. Data Scientist, the game team will rely on you to design and implement data driven applications in a rapidly changing, live game environment. A successful candidate will have a strong ML background preferably in mobile live services, along with the ability to partner and communicate with a cross-functional team. Responsibilities: Apply your expertise in quantitative analysis, data exploration and visualization to tell the story behind numbers and find relevant insights for partners and leadership Aggregate and analyze large datasets to identify behavior trends using statistics, data mining techniques Develop and manage propensity models for spend and engagement and partner with Data Engineering to productionalize and maintain models Manage cohort segmentation and behavioral clustering models Lead efforts in experimentation for lifecycle management and game features (experimental design, sampling, success criteria) Develop anomaly tracking for fraud and cheating Develop business cases for new technologies needed to support ML applications Develop tools for more robust simulation and testing of design in game Respond to operational needs by providing ad hoc analytical support Partner with Engineering and Operations teams to determine product requirements Skills / Requirements: 3+ years business or data analysis experience; preferred experience from gaming industry MS degree in a quantitative discipline (i.e. Statistics, Computer Science, Mathematics, Operations Research, Economics, Industrial Engineering), required Experience in quantitative analysis. Visualization platform experience is a plus (Looker, Tableau, Chartio etc) Strong background in experimental design and A/B test implementation Experience managing advanced analytics projects which solve complex analytical problems using data mining technologies Strong SQL skills and experience with big data stores (Hive/Hadoop, Big Query, AWS, Snowflake etc) Proficiency in Python or R and applied ML Strong quantitative, problem-solving skills Can explain insights to all kinds of audiences Strong capability to independently manage workload A true passion for understanding customer behavior on-platform and in-game" Data Scientist,"Woodbridge, NJ 07095",Plymouth Rock Assurance,"Business Need / Purpose of Role: The Data Scientist supports the development of statistical models that will enable future growth and profitability for our book of business through appropriate pricing, underwriting and risk segmentation. He/she will report to the Manager of Data Science and will be involved in research, development and implementation of analytical solutions based on statistical models. Essential Functions and Responsibilities Performs data mining and data cleansing tasks. Prepare datasets for modeling through balancing and validation. Produces predictive models which enable the creation of rating plans and evaluation of risk. Assists decision makers with studies that evaluate new business models to evaluate customers’ profitability including customers and/or risk segmentation, retention and lifetime value modeling. Communicates to diverse audiences, including technical and non-technical. Manages projects of moderate complexity. Supports modeling requests made by other departments. Works closely with others to gain strong understanding of insurance concepts and processes. Perform other job-related duties as assigned. Qualifications and Education Broad thinker with the ability to synthesize information from various sources and apply that information to concrete business problems. Strong decision-making skills. Solid skills and training in predictive modeling, data mining and other quantitative and research analytics (, Multivariate Analysis, Bayesian Methods, Generalized Linear Models, Non-Linear Models, Decision Trees, Non- Parametric estimation etc.). Strong programming ability in SAS, SQL, R or other programming languages and proficiency in scripting languages and ability to build code and algorithms to tackle statistical problems. Excellent written and oral communication and presentation skills. Self-starter and strong individual contributor. Solid understanding of database principles and experience working with large databases. Knowledge of auto insurance will be a plus. 1 or more years of experience developing and implementing multivariate predictive models using GLM and other statistical methods. Masters in economics, statistics, or related field required, PhD preferred. About the Company The Plymouth Rock Company and its affiliated group of companies write and manage over $1.4 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,800 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”." Data Scientist / Data Analyst,"Sunnyvale, CA",Arosys,"Are you a driven and inquisitive data scientist? Do you love finding insights in large, unique datasets? Want to play a crucial role at a dynamic company? Join Arosys as a Data Scientist! As part of this fast-growing team, you’ll develop deep insights for our business units to execute as we continue to grow, and have a tremendous impact on the success of a game-changing company. What you’ll do: Extract actionable insights from huge volumes of data using data mining, statistics, and database techniques. Work cross-functionally to identify problems in different areas where data mining/machine learning/statistics can help. Conduct studies, rapid pilots, and use advanced data mining and modelling techniques to build solutions that optimise the quality and performance of our data. Analyse data quality issues and identify root causes and remedies. Simplify and explain data science work examples to non-quant business users. What’s required: Fluency in modern advanced analytical tools and programming languages (e.g. Python, R, MATLAB etc.). A PhD in statistics, math, engineering, physical sciences, computer science or another quantitative discipline. Substantial experience with the use of relational (and un-relational) databases for data storage and analysis, including SQL fluency for data extraction and management. Curiosity and pragmatism! You should be excited to ask the right questions, find the right answers, and identify trends and factors important for the business. Experience with machine learning, conceptual modelling, hypothesis testing, NLP, etc. is a plus." Data Scientist,"Santa Barbara, CA 93103",HG Insights,"About Us: Headquartered in beautiful Santa Barbara, HG Insights is the global leader in technology intelligence. HG Insights uses advanced data science methodologies to help the world's largest technology firms and the fastest growing companies accelerate their sales, marketing, and strategy efforts. We offer a casual yet professional environment. Get your sweat on at one of our fitness classes or go for a run along the beach which is two blocks away. You can find employees riding bikes to lunch in the funk zone or hanging out in one of our collaboration spaces. We are passionate about our jobs with a get-it-done attitude, yet we don't take ourselves too seriously. What You'll Do: We are looking for a data scientist with software development or data engineering background to join our research team which reports directly to the CTO. We are a rapidly growing company with small focused engineering teams that deliver innovative features to a fast growing market. We build big-data systems utilizing cutting edge technologies and solutions that allow for our engineers to continuously learn and develop while shipping amazing products. Qualities/ Experience: Self-learner, hacker, technology advocate who can work on anything Amazing engineering skills, you're on your way to being the one of the best engineers you know You can architect, design, code, test, and mentor others Experience working with interesting and successful projects Thrive in a fast growing environment Excellent written and spoken English communication An interest in Machine Learning and Natural Language Processing What You'll Be Responsible For: Build solutions for text classification, entity linking, and entity extraction and other related projects Scaling machine learning and NLP projects to run against large datasets in virtualized environments. You will collaborate with Product Development Teams to build the most effective solutions You will develop features in our databases, backend apps, front end UI, and Data as a Service (DAAS) product You will help architect and design large scale enterprise big-data systems You will work on ideas from different team members as well as your own Fix bugs rapidly Attend daily stand-up meetings, planning sessions, encourage others, and collaborate at a rapid pace What You'll Need: BS, MS, or Ph.D. in Computer Science or related technical discipline Experience Natural Language Processing, preferably in a commercial setting. Experience building Logistic Regression Models Proficient in Python and Jupyter as well as related data science libraries (such as Scikit-learn, NLTK, SpaCy, Tensorflow) Proficient in Java or Scala (3+ years experience recommended) Experience with MySQL, ElasticSearch, ESB, Hadoop, Spark, or other related data processing/database technologies Experience with Amazon Web Services (EC2, S3, RDS, EMR, ELB, etc.) Experience with web services using REST in Java Actual coding experience in large distributed environments with multiple endpoints and complex interactions Comfortable in an agile development environment Understanding and have real world experience using design patterns Comfortable programming on a Mac with Intellij and other tools HG Insights Company is an Equal Opportunity Employer Please note that HG Insights does not accept unsolicited resumes from recruiters or employment agencies. In the event of a recruiter or agency submitting a resume or candidate without a signed agreement being in place, we explicitly reserve the right to pursue and hire such candidates without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of HG Insights GjLy4qOEnF" Data Scientist,"San Francisco, CA","Twitch Interactive, Inc.","4+ years of experience (or MS with 2+ years) as a data scientist on a technology productFluency in data-science fundamentals: SQL, data manipulation in R or Python, and statisticsExcellent written and verbal communication skills on quantitative topicsExpertise in applying supervised and unsupervised algorithms to large-scale dataData Scientists at Twitch influence critical product and business decisions and enable evidence-based decision-making at the highest levels of Twitch. Our Advertising product team is building out complex, auction-driven, multi-sided markets to help creators earn a living and advertisers drive business results. Our team seeks an outstanding data scientist with creative problem solving skills and demonstrated ability to deliver insights from complex data sets. You’ll draw on an expansive methodological toolkit to work on an array of challenging topics and problems including supply-demand modeling, econometrics, auction dynamics, pricing, forecasting, and maximizing the value of user action. ResponsibilitiesAutonomously identify and pursue research with significant business impact, and make compelling cases for prioritization, resource allocation, and new product strategyPrioritize and execute in the face of ambiguity, adapt your tools to answer complicated questions, and identify the trade-offs between speed and quality of different approaches.Establish product goals and success metrics, create approaches to track the data and troubleshoot errors, quantify and evaluate the data, then develop a common language for all colleagues to understand and drive these KPIs.Collaborate with specialists in data science, analytics, engineering, and economics disciplines to efficiently develop reliable and reproducible analyses at scaleSupport data processes - provide the team with ad-hoc analysis, automated dashboards, and self-service reporting tools so that everyone gets a good sense of the state of the business Prior work with marketplace or advertising or media productsExperience with data pipelining from data preparation to analysis to deploymentExcitement to shape the development of a growing team and help millions of content creators and viewers" Data Scientist / Analyst - Intermediate,"Rancho Cucamonga, CA","Health Care Consultants, Inc.","Contract to hire position (3)- Only candidates who are eligible for conversion to Full Time. 100% Onsite Must have working experience with Python and/or R, not just knowing skills. NLP modeling highly preferred. Education: Applied Statistics Degree highly preferred. Experience Level: 3-6 Years. Experience in text mining or NLP modeling and applications, using large amounts of text data, and extracting insights quickly Knowledge of various machine learning techniques and key parameters that affect their performance Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation of data sets, etc Knowledge of NLP concepts like TFIDF, N-gram Modeling, Stemming and Lemmatization, Entity Extraction, Sentiment Analysis, Document Classification, Topic Modeling, Natural Language Understanding (NLU), Natural Language Generation (NLG) and word embedding Experience with a variety of NLP methods for information extraction, topic modeling, parsing, and relationship extraction Understanding of text pre-processing and normalization techniques, such as tokenization, POS tagging, and parsing, and how they work Experience in producing, processing, evaluating and utilizing training data Experiences in SAS Text Miner, Python, KNIME, R. Key to Hire: Python and/or R experience required; 4 years' experience using Python and/or R HIGHLY preferred (but okay with less). At least 3+ years of experience writing production-quality Python code REQUIRED (134279) 4+ years of real world working experience as a data scientist REQUIRED. NLP is highly preferred, but not required.(134279) Please ensure the resume reflects what you did in Python and/or R (how you used it). Description: Provide data architectural leadership in developing enterprise data/process models, and logical/physical database designs. Provide data and database development, maintenance, and production support. Participate in IT and Business project to define system requirements. Skill Set: Business analysis. Business process modeling - enterprise to department level. Ability to interpret Entity Relationship Diagrams." Data Scientist,"San Jose, CA",Vectra,"Vectra Networks delivers a new class of advanced threat defense that delivers real-time detection and analysis of active network intrusions. Vectra technology picks up where perimeter security leaves off by providing deep, continuous analysis of both internal and Internet-facing network traffic to automatically detect all phases of a breach as attackers attempt to spy, spread, and steal within your network. Vectra directly analyzes network traffic in real time using a patent-pending combination of data science, machine learning, and behavioral analysis to detect attacker behaviors and user anomalies in the network. All detections are correlated and prioritized to show an attack in context, and Vectra Networks' machine learning adapts as attacks evolve. Position Overview ----------------- Be on the leading edge of applying machine learning and data modeling to the world of advanced cyber security – as part of the data science engineering team, you will directly impact the product by developing core algorithms to model complex problems. Specific responsibilities include: Prototyping, development and testing of complex mathematical models in order to facilitate the detection of anomalous behavior with a very high degree of accuracy Development and testing of methods to combine models in order to improve accuracy, as well as automatically training and retraining these models Innovating around new models to solve new problems Required Experience ------------------- Strong math/statistics/machine learning background Successfully applied machine learning, statistical methods, data mining to academic/work projects Parallel programming experience C++ coding experience Python or Scala experience Linux experience Team player Qualifications -------------- MS/PhD in Computer Science, Mathematics, Physics or related discipline (or equivalent experience) Experience designing and implementing new algorithms Statistical package experience: R, Python/Pandas or MATLAB/Octave Familiarity with systems that make use of multiple machine learning and statistical methods at the same time, ensemble learning Hadoop ecosystem experience Database hands-on experience (SQL or noSQL) Experience working in a software development team" "Data Scientist, Analytics - AR/VR Media","Los Angeles, CA",Facebook,"Become part of a data science team in AR/VR Media that provides a start-up-like atmosphere while working on cutting-edge technology within Facebook. AR/VR Media is a vital part of the overall AR/VR Experiences product team. We are focused on supporting great stories and storytellers in VR and we build the products that let people experience media of every kind in VR. We also partner with creators of every stripe, from individual animators to major media companies and film production studios, to get the best content on AR/VR platforms and find new ways for creators to tell stories that the audience can experience together virtually. This means that data scientists on this team will be uniquely positioned to inform data-driven product strategy and influence teams across the family of apps! DATA SCIENTIST, ANALYTICS - AR/VR MEDIA RESPONSIBILITIES Own the data-driven insights for a large portion of our platform business Initiate and lead cross-functional data science and modeling projects with multiple contributors Aggregate and analyze complex data sets across multiple teams to identify and interpret large scale trends and patterns to help drive strategy across several teams Apply statistical techniques to understand groups of users, their engagement with the platform, and the performance of the platform itself Work with members of the team and multiple partners to surface strategic issues and overall direction to product group leadership Use technologies and methods such as Dataswarm, Hive, Python, R, SQL to create deep scalable and repeatable insights that will empower the team while informing roadmap and team priorities Effectively communicate results and insights to the product team and company leadership MINIMUM QUALIFICATIONS MS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, applied mathematics, physics, electrical engineering, industrial engineering) or equivalent experience 8+ years experience doing quantitative analysis or statistical modeling Knowledge of at least one modeling framework (e.g., Scikit-Learn, TensorFlow, SAS, R, MATLAB) Experience influencing product strategy through data-centric presentations (to product, business, and other stakeholders) Experience extracting and manipulating large datasets Development experience in any scripting language (PHP, Python, Perl, etc.) Proven experience influencing cross-functional partners and work across teams Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com." Freelance Lesson Writer for Mathematical Questions,Remote,"National Training Network, Inc.","NATIONAL TRAINING NETWORK JOB DESCRIPTION Freelance Lesson Writer Position Title: Freelance Lesson Writer for Grades 3-8, Algebra 1, Geometry and Algebra II Create lessons that address the CCSS for Mathematical content or other state standards in style and format.Lessons will contain student pages with answer keys and teacher direction pagesLesson approach is exploration and building conceptual understanding of mathematics.Lesson elements include: exploration with concrete and pictorial representations, cooperative learning activities and experiences, authentic real-world application problems, and assessment questionsLessons will demonstrate an understanding of the mathematical concepts and the ability to present the information, in written word, in a way that provides access to all learners.All lesson submissions will be checked for plagiarism to avoid legal complications.All lessons become intellectual property of National Training NetworkRequirements:Experience as a lesson writer including:o Proficient with Microsoft word in writing and grammatical conventionso Use of graphics within Word (charts, graphics, tables, graphs, grouping elements, decimals, creating geometry elements including angles and shapes)o Access to and use of MathType for fractions and equationsWhen writing lessons the following will be provided:Lesson templateFramework with lesson parts and parameters of each part defined (Example: number of questions for assessment)For more information on lesson format, please visit this link: http://ntnmath.kemsmath.com/Level%20E%20Teacher%20Notes/Level%20E%20Lesson%2017%20Teacher%20Notes.pdfPlease provide a sample mini lesson (3-5 pages) on CCSS 3.NF.3b (Equivalent Fractions), CCSS 7.NS.1c (Subtraction of integers), or CCSS F.IF.8b (Properties of Exponents), that incorporates building conceptual understanding of the concept and cooperative learning. This mini-lesson should include the student activity pages as well as the teacher directions.Compensation: Per Lesson TBDJob Type: ContractSalary: $500.00 /weekWork Location:Fully RemoteBenefits:NoneThis Company Describes Its Culture as:Detail-oriented -- quality and precision-focusedInnovative -- innovative and risk-takingOutcome-oriented -- results-focused with strong performance cultureTeam-oriented -- cooperative and collaborativeSchedule:Other" Data Analyst - All levels Jr./Sr./Lead,"Kalamazoo, MI",OtterBase,"ResponsibilitiesAs a Data Analyst, you will focus on contracts, pricing, and customer intelligence to maximize revenue and margin through contract and pricing strategy by leveraging analytic tools such as Power BI, Excel, etc. You will elevate Stryker’s approach to customer data by providing business intelligence solutions that supply our business leaders and sales teams with information to support and inform business strategy, identify opportunities, and inform negotiations and decisions. In addition, you will gain a deep understanding of the businesses you support and develop, maintain, deploy, and scale data models and internal solutions that support the business needs. You will build strong relationships with internal customers and sales teams and provide exceptional customer service. Lastly, you’ll have the opportunity to build relationships and collaborate with a robust team, deliver business-focused analytics and recommendations, and enable key initiatives for the organization.RequirementsBachelor’s degree in Economics, Computer Information Systems, Business Analytics, Data Science, Business, Accounting, Finance, or related discipline with 4 to 6 years of data analysis and reporting experienceExperience with excel and other reporting and visualization tools such as Power BI or Tableau. Basic data modeling and fundamental core database conceptsEffective presentation, written, verbal communication skills, including the ability to explain data and findingsWhat we are looking for:· People who listen to ideas, share thoughts and work together to move the business forward· Individuals who enjoy analyzing data or trends for the purposes of planning, forecasting, advising, budgeting, reporting, or sales opportunities· Highly effective communicators who can transform data findings into recommendations to compose reports and executive-level presentations· Critical thinkers who naturally see opportunities to develop· People who build and leverage cross-functional relationships to bring together ideas, information, use cases, and industry analyses to inform business strategy and decisions· People who go beyond just fixing to identify root causes, evaluate optimal solutions, and recommend comprehensive upgrades to prevent future issues· Individuals who enjoy compiling, organizing and consolidating large volumes of data and reports· People who effectively interpret information to demonstrate the effects of business initiatives, regulation and industry trends for sales, management and leadership teamsJob Type: Full-timeSalary: $65,000.00 to $90,000.00 /yearEducation:Bachelor's (Required)Additional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleRelocation assistanceProfessional development assistanceTuition reimbursementThis Job Is Ideal for Someone Who Is:People-oriented -- enjoys interacting with people and working on group projectsAchievement-oriented -- enjoys taking on challenges, even if they might failHigh stress tolerance -- thrives in a high-pressure environmentSchedule:Monday to FridayNo weekends" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Washington, DC 20001 (Shaw area)",Piper Companies,"Description Piper Companies is spearheading a Professional Search for a Data Scientist in our client’s downtown Washington, DC office. You will collaborate with diverse teams of data scientists, data analysts, program developers, and mobile and backend developers. This position will be involved in statistical data science and analysis to meet customer requirements, as well as internal innovation. You will also have the opportunity to innovate with machine learning, computer vision, data visualization, and geospatial data enrichment to enable the rich attributes of the organization’s data. This position will have an impact on both internal and customer facing platforms. The Team: We are a passionate, tight-knit, super-driven team that moves fast, appreciates candor, and deeply values the diversity of our backgrounds. Our diversity mirrors the global nature of our work: we've lived in 30 countries, speak 14 languages, and believe in the value of life experience that an unconventional background inherently brings. What unites us is our innate curiosity and collective ambition to build technology that ultimately has a measurable human impact. What you get to do: Apply mathematical rigor and a highly refined sense of both “where to look next” and “what to do instead” when performing econometric/statistical analysis for client requirements. You will work to create, validate and improve automated algorithms which turn raw data with geospatial and text attributes into meaningful information. Communicate data collection and statistical methodologies to both technical and nontechnical audiences Apply strong quantitative background and experience in applied statistical analysis (e.g. time series, panel data, geospatial data, survey design). Train, calibrate and validate computer vision algorithms to extract objects, text etc. Utilize Python and packages to write code towards data wrangling, enrichment, statistical analysis, and visualization of both spatial and non-spatial data. Identify and leverage opportunities to continually improve data quality, systems, processes, and standards. Apply NLP expertise to cluster and find patterns in free text crowdsourced data. You will collaborate with other data scientists, analysts, product managers, operations, and other departments to ensure products and technology meets internal standards. Your background likely includes: BS or MS in Economics, Mathematics, Data Science, Computer Science, etc. or equivalent work experience & analytical skills. Advanced level SQL writing skills (Google BigQuery a plus but not necessary). Experience with Python and associated packages for statistical analysis, machine learning, and computer vision. Passion for learning and sharing knowledge with the team around you. Experience with data analysis, quality, cleaning, and extraction/validation tools. Experience with ArcGIS, QGIS, Shapely, or GeoPandas for geospatial data processing. Experience with visualization tools like Periscope Data, Data Studio, Tableau, ArcGIS a plus. Compensation & Benefits Salary: $140,000 to $175,000/year (based on experience and/or technical capabilities) Benefits: Equity Stock Options, 401k Match, Unlimited Vacation, Daily Lunch & Snacks, Transportation & Gym subsidies, ect" Sr Data Scientist,"Hartford, CT",Nava Software Solutions LLC,"NAVA Software Solutions is looking for a Data Scientist for a Contract opportunity for our client in Hartford, CT Title: Data Scientist Location: Hartford, CT Exp: 7-10 yrs Start Date: ASAP Duration: 12 months Skills Required: SQL,R,SAS,Python Qualifications: Strong desire to grow a career as a Data Scientist in highly doing data analysis and machine learning on terabytes and petabytes of diverse datasets. Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement. Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. Strong software development skills. Strong verbal and written communication skills. Experience with or desire to learn: Required: Machine learning and other advanced analytical methods Required: Fluency in Python and/or R Required: pySpark and/or SparkR and/or SparklyR" Senior Data Scientist,"San Diego, CA 92112",Intuit,"Overview: Intuit is hiring a Senior Data scientist to focus on our Consumer Group. We are looking for exceptional talent that can drive customer benefit for our personal finance offerings." Data Scientist,"Kansas City, MO 64108 (Crown Center area)",Hallmark,"reqid: 46246 WHEN YOU CARE ENOUGH YOU CAN CHANGE THE WORLD. Do you want to work for one of the world's most trusted and recognized brands? Hallmark is a company rooted in connecting people. We care for our employees, our communities, and our world. A career at Hallmark means you get to make a big impact and create something that can make a genuine difference. We’re looking for people who want to continue to carry our vision forward. We need a curious, analytical Data Scientist to join our team using cutting edge technologies to transform our business. You will analyze big data as part of a collaborative team, building the solutions that will move a well-established business into the future. Hallmark’s Data Scientists build analytical and consumer-facing systems to better serve our consumers and derive insights from historical business patterns. You will develop machine learning algorithms and conduct data analyses to drive business growth and impact strategic business decisions. You will work in a highly collaborative environment alongside a group of expert mathematicians, statisticians and data scientists. Our perfect Data Scientist candidate: Will be naturally curious, a critical thinker. Will have a background in conducting analysis and developing algorithms. Is a quick learner with strong initiative who can hit the ground running and bring robust problem-solving skills. Is an analytic trailblazer who can mentor and teach to help enhance, build, and grow Hallmark’s analytic capabilities. Is flexible, has strong initiative and is highly collaborative The Data Scientist: Develop algorithms and models that will be deployed to production to make decisions in realtime. Influences business decisions through analyses derived from advanced statistical and machine learning techniques. Designs test and research methodologies, as well as modeling methods in order to solve real business problems. Works collaboratively across the organization to understand their need and challenges providing thought leadership and perspective around appropriate statistical analyses to address those issues. Is an advocate for implementing analytic best practices and identifying opportunities to improve decision making. APPLICATION INSTRUCTIONS You must show how you meet the basic qualifications (listed below) in a resume or document you upload, or by completing the work experience and education application fields. Accepted file types are Microsoft Word (DOC or DOCX), PDF, HTML, or TXT. In compliance with the Immigration Reform and Control Act of 1986, Hallmark Cards, Inc. and its subsidiary companies will hire only individuals lawfully authorized to work in the United States. Hallmark does not generally provide sponsorship for employment. Employment by Hallmark is contingent upon the signing of the Employment Agreement, signing of an agreement to arbitrate in connection with the Hallmark Dispute Resolution Program, completing Form I-9 Employment Eligibility Verification, passing the urinalysis drug screen, education verification and satisfactory reference checks. BASIC QUALIFICATIONS Bachelors or Master’s degree in Statistics, Physics, Math, Engineering, Economics, Finance, Data Science, Computer Science, Operations Research or a quantitative field 3+ years of experience in advanced analytics, data science and statistical modeling (including predictive algorithms, machine learning, time-series, deep learning, forecasting, experimentation, and NLP) PREFERRED QUALIFICATIONS Master's or PhD in Statistics, Physics, Math, Engineering, Economics, Finance, Data Science, Computer Science, or Quantitative Field 5+ years of business experience in data science, advanced analytics, and statistical modeling Experience with R, Python, Scala or other similar analytical language. Experience with data wrangling tools like SQL, Spark Experience with advanced statistical analyses such as regression ANOVA, ANCOVA, case control studies, and hypothesis testing Experience with advanced machine learning technologies such as Random Forest, Neural Networks, Gradient Boosting Machines, Deep Learning, etc. Experience working with modern big data processing systems (e.g. Hadoop, Spark) Demonstrated in feature engineering of high-dimensionality collections of data Proven ability to assess the situation quickly, including identifying and resolving data anomalies and inconsistencies, and develop practical problem-solving strategies. Strong intellectual curiosity and love of problem-solving with a passion for getting involved to drive action for direct impact on business outcomes. Strong communication skills – written, verbal, and presentation Proven ability to communicate the key messages and develop a storyline from analytical project work to a non-technical audience. Basic Data Visualization software technologies such as ggplot, matplotlib, or bokeh. BENEFITS AND PERKS: At Hallmark, we help people feel connected to what matters. That’s true of our employees, just as it is our consumers. Providing benefits that support the lives and wellbeing of Hallmarkers is among the most important investments the company makes. Hallmark benefits are designed to give you choices. Wherever you are in life, we want you to find the benefits that are right for you and your loved ones. Explore the Hallmark Benefits Guide to learn more. Hallmark is an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, age, pregnancy, national origin, physical or mental disability, genetics, sexual orientation, gender identity, veteran status, or any other legally-protected status. Principals only please." Junior Data Scientist,"Chicago, IL",Hitachi Solutions,"Company Description Hitachi Solutions is a core IT Company of the Hitachi Group, which employs over 330,000 people worldwide. Headquartered in Tokyo, Japan, Hitachi Solutions' reach extends to group companies in Japan and abroad, working with a worldwide network of alliance partners. Through systems integration, we strive to provide ideal solutions and products to customers in a diverse set of countries and regions including Asia, North America and Europe. Using a portfolio of management consulting, implementation, and support services, we help our clients compete with the largest global enterprises leveraging powerful, affordable, and easy to use industry solutions built on Microsoft technologies. Our vision is to help you achieve your vision through superior products, prices, and people. Job Description Are you looking to work at the forefront of artificial intelligence and machine learning? We have a significant data analytics and management presence across many industries. With that footprint comes massive amounts of data that can inform us about markets and ways to improve our client business practices. This position will be part of the Data Science and Machine Learning team and will bring strong quantitative skills to our data science capabilities. You work in a multidisciplinary team exploring, connecting and mining internal data sources and will develop data models using algorithms for pattern detection and forecasting. In this position you will be managing projects that use advanced analytics techniques, such as optimization, forecasting, machine learning, predictive analytics, and statistical analysis, to develop solutions that help deliver significant value to a variety of our partners and clients. You will be exposed to a wide spectrum of high visibility projects ranging from sales effectiveness, competitive intelligence, fraud detection, time series forecasting, operational efficiency, sourcing and procurement, supply-chain optimization and financial analysis. Why is this role important for our company’s work? Quite simply, our clients and engineers need you. You’ll provide a fresh perspective to our industry experts who have 10-20 years of experience. You’ll come with a hungry mindset that is collaborative and helpful. With your perspective, we’ll transform existing practices to think differently about innovation, will optimize existing processes and systems in the organization, and will think high-level about business impact to the greater world. Once you’re here… You'll have full access to our reference architecture. Our services methodology is built on reusable technology components, patterns, and processes that have been refined and proven on thousands of production solutions. You’ll learn to develop complex data architectures, solve for real-time data needs of large businesses, and navigate the changing landscape of the Azure stack. You will collaborate regularly with our experts, work across numerous industries, clients, and technologies. You will learn something new every day and begin adding value to our team almost immediately. We have our flagship Launch Program to get you up to speed as quickly as possible. You will partner with clients across several key industries including Healthcare, Manufacturing and Industrial Products, Financial Services, Professional Services, Engineering and High Technology, Retail and more. Responsibilities:Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects. Develop visualization products to share analysis across a large group of business users.Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies. Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables. QualificationsBachelor's degree from an accredited college/university in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research or related fields.(Preferred) Master's degree in data science, applied mathematics, or bioinformatics.Knowledge of various modeling algorithms e.g. Linear, GLMs, trees based models, neural networks, clustering, PCA, and time series models. Additional Information Beyond the tech, you'll benefit from dollar for dollar 401(k) matching (up to 6% of your salary), ongoing structured learning opportunities, subsidized healthcare, vision, and dental plans (amongst others), a fully stocked snack, coffee, and drink bar, and a laid-back team looking to disrupt the status quo." Data Scientist,"San Francisco, CA 94111 (Financial District area)",Upgrade,"Upgrade aims to deliver frictionless mobile banking and exceptional value to mainstream consumers. Founded in 2017, Upgrade has already originated over $2.4 billion in consumer credit. Upgrade products are designed to create a new banking experience that seeks to eliminate fees on everyday transactions and offer access to more affordable and responsible credit through cards and loans. In 2 short years 8 million people have already applied for an Upgrade Card or loan. Upgrade is very well funded with $150 million in equity capital. Upgrade has been named a “Best Place to Work in the Bay Area” by the San Francisco Business Times and Silicon Valley Business Journal, and received “Best Company for Women” and “Best Company for Diversity” awards from Comparably. We are looking for new team members who are excited about creating, designing and implementing new and better solutions to join a team of 300 talented and passionate professionals. Come join us if you like to tackle big problems and make a meaningful difference in people's lives. Reporting to Upgrade’s Head of Decision Sciences, this role will: Responsibilities Develop and implement statistical/machine learning models for various business areas, including Credit Risk, Fraud, Marketing, and Operations. Validate models to identify factors that may affect model performance. Actively research new tools and techniques available for model development. Collaborate with various teams across Upgrade in model development process: Operations, Product, Marketing, and Credit Risk. Skills Advanced Degree (PhD or MS) in Statistics, Mathematics, Data Sciences or a related quantitative discipline. 1-3 years experience as a Data Scientist. Experience and/or strong interest in latest machine learning techniques (Random Forest, Gradient Boosted Trees, etc.) strongly preferred. Proficient in Python and/or R, Python preferred. Ability to write documentation and present analysis to people with different levels of expertise (e.g., technical staff, business leads, etc.). Detail oriented and strong analytical skill set. Proactive, driven, and ability to work in a fast paced environment. Benefits / Perks Great OPEN office location! Conveniently located in San Francisco Financial District Close to BART and Public Transportation Comprehensive benefits package: Medical, dental, & vision Unlimited vacation policy Kitchen stocked with beverages, snacks & treats Social gatherings / happy hours We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Candidate Privacy Notice Effective Date: 1/1/2020 This California Candidate Privacy Notice is intended to provide California consumers who are employed or apply for employment or a contractor position with Upgrade information about the categories of personal information Upgrade collects and how the company uses this information. For any questions about this notice, please contact ccpa@upgrade.com. 1. Personal Information Upgrade Collects a. Identifying information: including name, address, email, telephone number, social security number, driver license number, passport number, and other personal identifying information. b. Information you provide as a part of a job application or from a background check performed after a job offered is extended, including employment, education, credit, and criminal history. c. Data on work productivity and performance, including hours worked, electronic network activity, and tasks performed. 2. Purposes for Collecting Personal Information a. To consider applications for employment. b. To complete payments, including payroll, expense reimbursement, other compensation-related payments, and the administration of stock options. c. To administer benefits, including medical, dental, vision, commuter, and retirement benefits. d. To provide human resources services and conduct performance evaluations. e. To monitor work eligibility including work-related licenses, credentials, training, and eligibility to work in the United States. f. To ensure a safe and efficient working environment. g. To comply with applicable legal or regulatory requirements including state and federal company reporting obligations." Jr. Data Scientist,"Chicago, IL 60607 (West Town area)",Vamonde,"About UsWe promise you’re going to love this job and the work that you do. VAMONDE connects attractions and cultural organizations with hotels and travel brands through experiential content and events. Our proprietary creation tool allows museums and cultural institutions to tell their stories by digitally repackaging their content. Our white-label technology helps hotels and travel brands curate this content to provide some of the best hyperlocal information to their guests. We are the middlemen/women that help bring great stories to travelers so that they can live great stories.If you have a passion for travel and culture and love to nerd out over best practices, this is the place for you. You will be joining a group that prides itself on having a collaborative workplace where everyone gets a say and a chance to be creative. You’ll be a part of exciting debates, ideation, and brainstorming meetings and then battle it out over some intense ping pong matches. The office also comes with free drinks and snacks...and who doesn’t like free drinks and snacks?Sound like the right place for you?Why UsOur workplace culture is one of camaraderie, collaboration, and transparency. We expect and encourage team members to own their parts of the business and guarantee a high-impact role in our team. In addition to a full pay package, we offer a flexible work environment and lots of opportunity for growth. Compensation will be commensurate with experience.Explore the content: https://www.vamonde.com/Explore the software: https://solutions.vamonde.com/YouThe ideal candidate is someone who’s confident in their skills with Python and is aiming to develop a career in Data Science / Machine Learning. You’ve modeled out and implemented complex data structures and are able to explain them to non-technical team members. Ideally, you’ve also worked with AWS or other comparable platforms and are willing to work with us on recommendation engines, data normalization, and user journey insights.This is an onsite, full-time position at our offices in Chicago.The RoleCreate systems to distribute personalized content to users based on past interactionsOwn the analytics behind the customer journey and develop actionable insights based on findings and learningsArchitecting new features and managing releases of those featuresOptimization of the application for maximum speed and scalabilityCreate and maintain technical documentationRequired Skills And QualificationsBachelor’s degree (or foreign equivalent degree) in Computer Science or related field, or equivalent experience0-2 years of experience programming in a modern object-oriented programming language (Python, Ruby On Rails, or GO).Have applied data science / machine learning in context and have examples to showKnowledge of machine learning, data science, and surrounding architectureStartup mentality: self-starter, proactive, flexibleWhy you will love working hereOur workplace culture is grounded in collaboration, flexibility, and transparency. In addition to a full pay package, we offer a flexible work environment and lots of opportunity for growth. Compensation will be commensurate with experience. You will be tackling involved problems and spearheading our content personalization efforts as well.Candidates must be based in Chicago or willing to relocate.No recruiters please.------------------------------------------SkillsData Science, Machine Learning, PostreSQL, Spark, Hadoop, CeleryJob Type: Full-timeSalary: $60,000.00 to $80,000.00 /yearAdditional Compensation:BonusesWork Location:One locationBenefits:Paid time offFlexible scheduleOtherSchedule:Monday to Friday8 hour shift" Senior Data Scientist,"Denver, CO 80202 (Lodo area)",Nexthealth,"NextHealth Technologies is a high growth, venture-backed company located in downtown Denver, Colorado. Our advanced analytics platform enables healthcare companies to make data-driven decisions that save money and optimize outcomes. We’re a tight-knit team of doers that thrive in a fast-paced and agile environment. We nerd-out on our AI and machine learning technology platform and our approach to big data analytics. Our team members enjoy: Competitive salary plus 10% annual bonus potential Stock options Unlimited PTO Medical benefits starting at $0 + HSA gift up to $350 every month $100 monthly commuter benefit Free onsite gym Senior Data Scientist NextHealth Technologies is currently looking for a Senior Data Scientist to join the company’s product and solutions team. Our goal is to make healthcare smarter. The position provides the opportunity to engage in cutting-edge healthcare research on a cross-functional team and contribute to developing products that have an impact on the healthcare industry with patient care. Responsibilities: Lead development of custom predictive and prescriptive algorithms interfacing with large data sets, based on principles from statistics, machine learning, and operations research Perform research as needed to extract cutting edge concepts from technical literature and apply them to relevant product features Work closely with scientists, engineers, and partners, to help evolve proof of concept systems into production at scale. Identify and promote the use of new technologies, toolkits, and frameworks, areas of inquiry, ways of working, methods and approaches in Computer Science, Artificial Intelligence, Software and Research Engineering. Work with clients, the head of Analytics, and the product development team to define desired requirements and capabilities Create integrated solutions using Python modules (including Pandas, Numpy, Scipy, SQLAlchemy, scikitlearn, and PySpark), PostgreSQL, and other tools as needed Required Experience: A graduate degree in Operations Research, Computer Science, Engineering, Applied Statistics or a related quantitative field. 3+ years experience beyond graduate school, which includes development of applied algorithms. Ability to develop algorithms in Python 3.x using Python libraries like pandas, numpy, scikitlearn, and pyspark Detailed knowledge of computer science including data structures, data modeling, distributed systems, and software design methods. Detailed knowledge in data science, machine learning, optimization, and statistics. Preferred Experience: Healthcare industry experience desirable. Spark experience desirable." Junior Data Scientist,"New York, NY",Avibra,"Who We Are Avibra is an end to end consumer loyalty ecosystem with a mission to educate and improve individual financial, career, physical, social and community well-being, and provide opportunity to people to convert their good habits into life insurance coverage for their loved ones. Our goal is to bring 60% of population primarily in low- and middle-income demographic under our ecosystem to provide an integrated and unparalleled well-being and insurance services using cutting edge technology and groundbreaking innovation.We are backed by Tier 1 VC and closed our first institution seed round, looking for someone who can become our crown jewel of the company and play a key role in outlining a strong data analytic trajectory and executing on it.We are looking for our first hire who will work closely with the core team and founders to outline a strong data analytics roadmap and execution strategy.Responsibilities Include Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, and conversion, as well as, other business outcomes. Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions. Coordinate with different functional teams to implement models and monitor outcomes. Requirements Include PhD or MS in a quantitative discipline such as Applied Math, Data Science, Physics, Statistics, or Engineering Proficient in a machine learning field with 1+ years of experience working in this domain. Deep understanding of Statistical/Probabilistic Analysis and Linear Algebra Strong problem-solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions. Experienced in using Python for analysis and modeling (TensorFlow is a big plus) Experience with Deep Learning, Reinforcement Learning, Natural Language Processing, Time Series Analysis, and/or Optimization Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks. Excellent cross-functional communication skills. Ability to thrive in a fast-paced environment. LocationNYC or Remote Benefits + Perks Salary, Equity, Health Insurance Total freedom to unleash your true potential + creativity to make a dent in the universe" Data Scientist,"Glendale, CA",Beyond Limits,"Position Overview Our data science team is expanding! The successful candidate will work with the data science and engineering teams on challenging projects in a variety of domains. Beyond Limits is a pioneering Artificial Intelligence company and a satellite of NASA's Jet Propulsion Lab and Caltech. Beyond Limits cognitive computing technology combines numeric and symbolic techniques to provide advanced solutions that go far beyond conventional AI. Job Duties/Responsibilities Ingest, organize, and analyze data from various sources (e.g. CSV, relational database) Scope unstructured problems or messy data for tractable insights Identify candidate statistical or machine learning solutions and test their efficacy Communicate technical work and findings both verbally and through written reports and visualizations Work in a collaborative environment to brainstorm, design, implement and deliver solutions to challenging problems Qualifications and Skills 5+ years of relevant industry work experience Excellent understanding of statistical or machine learning techniques, such as clustering, regression, time series forecasting, tree-based methods, sampling methods Demonstrated ability using scientific computing libraries, such as NumPy, Pandas, SciPy, Scikit-learn, Matplotlib, and Plotly Programming proficiency in Python or R Preferred Requirements Ph.D. or Master’s Strong statistical knowledge and experience with hypothesis testing Fluency with machine learning algorithms, such as CNN, RNN, reinforcement learning, support vector machines, and graph-based models Experience with TensorFlow, Keras, or PyTorch Experience with version control systems (e.g. Git flow) Strong oral and verbal communication skills Research experience with high impact publications Experience working with cross-functional teams and/or customer facing work About Beyond Limits Beyond Limits is a pioneering Artificial Intelligence engineering company creating advanced software solutions that go beyond conventional AI. Founded in 2014 with a legacy in space exploration, Beyond Limits is transforming proven technologies from Caltech and NASA’s Jet Propulsion Laboratory into advanced AI solutions, hardened to industrial strength, and put to work for forward-looking companies on earth. We leverage this unparalleled innovation portfolio, along with proprietary cognitive technologies, to help companies solve tough, complex, mission-critical problems and transform their business. We apply a unique hybrid approach to AI, combining numeric AI techniques like machine learning with higher-order symbolic AI and expert human knowledge to deliver intuitive cognitive reasoning and information. Our cognitive computing technology mimics human thought processes and provides explainable reasoning to aid human-like decision-making. Beyond Limits provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Beyond Limits complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Beyond Limits expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Beyond Limit’s employees to perform their job duties may result in discipline up to and including discharge." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Data Scientist - Global People Analytics,"Bentonville, AR 72712",Walmart,"Position Summary... What you'll do... Applied Business Acumen: Supports the development of business cases and recommendations. Owns delivery of project activity and tasks assigned by others. Supports process updates and changes. Solves business issues. Data Source Identification: Understand the appropriate data set required to develop simple models by developing initial drafts. Supports the identification of the most suitable source for data. Maintains awareness of data quality. Data Strategy: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Analytical Modeling: Selects the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models. Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Defines and finalizes features based on model responses and introduces new or revised features to enhance the analysis and outcomes. Identifies the dimensions of the experiment, finalizes the design, tests hypotheses, and conducts the experiment. Perform trend and cluster analysis on data to answer practical business problems and provide recommendations and key insights to the business. Mentors and guides junior associates on basic modeling and analytics techniques to solve complex problems. Model Deployment & Scaling: Supports efforts to ensure that analytical models and techniques used can be deployed into production. Supports evaluation of the analytical model. Supports the scalability and sustainability of analytical models. Code Development & Testing: Writes code to develop the required solution and application features by using the recommended programming language and leveraging business, technical, and data requirements. Test the code using the recommended testing approach. Problem Formulation: Translates business problems within one's discipline to data related or mathematical solutions. Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem. Model Assessment & Validation: Supports model fit testing and statistical inferences to evaluate performance. Assesses the impact of variables and features on model performance. Data Visualization: Generates appropriate graphical representations of data and model outcomes under guidance. Supports the understanding of customer requirements and designs data representations for simple data sets. Presents to and influences the team using the appropriate frameworks and conveys messages through basic business understanding. Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)" Data Scientist I,"Lincoln, NE 68508 (Downtown area)",Nelnet,"Overview: Nelnet is looking for a talented Data Scientist to help drive our businesses forward. The Data Science team represents a niche division of our Analytics department tasked with solving our most complex quantitative, statistical, and data-oriented problems. This role will use a powerful blend of business acumen, analytics, mathematics, programming, and modeling to provide strategic recommendations, insights, and products across a diverse set of business areas and industries. Functional projects typically include deep-dive operational and financial analyses, data wrangling and processing, programmatic automation, and predictive modeling. Our data scientist roles operate with wide-latitude and are often asked to tackle complicated questions that require creative solutions; candidates should be highly inquisitive, self-motivated, strong communicators, and have the ability to map out solutions with a starting point and end goal, but few steps identified in-between. By supporting teams that span the entire organization, we operate in a fun, fast-paced, and engaging environment that brings new and unique challenges every day. This position requires work in support of the Company’s contract with the United States Department of Education (“ED”). As such, the United States Government requires that any applicant for this position must complete United States Government security clearance. Effective June 1, 2018, ED has informed Nelnet that security clearance applications for foreign nationals are not being accepted or processed. In light of this direction from ED, Nelnet will be unable to hire applicants without United States citizenship for such positions. Responsibilities: Conduct advanced analyses and statistical deep-dives, with a focus on producing actionable recommendations and strategic guidance for decision makers. Develop and deploy custom models and algorithms using Python data and machine learning libraries. Mine, clean, process, transform and join data from a variety of sources including SQL servers, AWS environments, SalesForce, internal systems, and flat files. Identify, wrangle, scrape, and assemble new data sources from the web, data aggregators, and public sources. Build rich, interactive dashboards and visualizations from the ground up using PowerBI. Compile and present key findings and reports to all levels of the organization, including senior leadership. Continuously seek out opportunities to add value through process automation and programmatic solutions to manual tasks. Be a subject matter expert within the data science field. Continuously learn, grow, and explore new emerging technologies. Be a mentor, role-model, and resource for junior analysts and team members. Be an exceptional problem solver, idea machine, and source of creative solutions. Qualifications: EDUCATION: Bachelor’s degree required in a Quantitative or Programming discipline. Quantitative disciplines are those that require a heavy amount of mathematics, statistics or analysis, including (but not limited to) fields such as Math, Physics, Finance or Economics. EXPERIENCE: 4+ years of experience in data analysis, or completion of a bachelor’s/master’s degree program specifically within Data Science. 2+ years of programming experience. Significant experience working with large, complex data sets and common data science tools. COMPETENCIES – SKILLS/KNOWLEDGE/ABILITIES: Exceptional ability to analyze and synthesize data. Advanced proficiency in SQL and Python. Experience working with database and ETL tools. Experience designing, building, deploying, and validating machine-learning predictive models, ideally within a business framework. Competency navigating and working within the AWS cloud suite. Competency using common BI and data visualization tools (Microsoft PowerBI preferred). Core understanding of statistical concepts and methods. Competency in the MS Office Suite. Highly accountable and inquisitive, able to manage multiple tasks in a fast paced dynamic environment. Self-motivated. Excellent written, verbal, and interpersonal skills for coordinating across teams. Polished presentation skills preferred. EEO Statement:Nelnet is an Equal Opportunity Employer, complies with Executive Order 11246, and takes affirmative action to ensure that qualified applicants are employed, and that employees are treated during employment, without regard to race, color, religion/creed, national origin, gender, or sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by Federal or State law or local ordinance. Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Nelnet Talent Acquisition & Recruiting.Nelnet is a Drug Free and Tobacco Free Workplace." Data Scientist I,"Denver, CO 80221",Transamerica,"Job Description Summary As part of the Advanced Analytics group, the Data Scientist works with product managers, data engineers, and other data scientists to develop innovative solutions that transform the way Transamerica conducts business.Job Description Responsibilities Design experiments and formulate machine learning problems to address major business challenges and innovation opportunities Work with product managers and data engineers to discover, collect, cleanse, and refine the data needed for analysis and modeling Analyze large datasets to extract actionable insights and inform experimental design and model development Write lucid, compelling summaries to communicate results of analysis, model development, and testing which inform how the business should act Collaborate with peers, challenging assumptions and providing constructive criticism and ideas for improvement Build models using a variety of statistical and machine learning techniques, assessing the best type of model for the problem context and using advanced techniques and customizations to optimize model performance Harden models for production deployment and monitor model performance over time Qualifications Masters degree or PhD in computer science, machine learning, data science, mathematics, statistics, or related quantiative field Three years of experience in a data science or machine learning role Excellent knowledge of major machine learning algorithms Fluent in Python and R Experience with machine learning libraries and platforms, like Scikit-learn and Tensorflow Solid statistical analysis skills and a good understanding of experimental design Excellent analytical and problem solving skills Experience working with data at scale in the Hadoop ecosystem Excellent communication skills and the ability to use data to tell a story Willing to learn and keep pace with the latest advances in data science and machine learning Preferred Qualifications In depth machine learning experience focused around computer vision, anomaly detection, or natural language processing. Working Conditions Office environment" Data Scientist,"Woodland Hills, CA 91367",BlackLine,"Job Duties & Responsibilities Bring Creativity to Data products. Analyze transaction data. Build models to predict possible finance operation inconsistencies. Use machine learning methods to perform transaction matching (matching algorithms). Cleanse raw data for use in models. Perform data munging, data mining, clustering & classification methods, pattern recognition. Comfortable with Statistics, Calculus & Multivariate analysis. You will work closely with a small R&D team with Product Managers, Data Engineers & Analysts. The R&D team will experiment with the data and come up with POC's. Familiar with SQL, Python, R, Spark MLib, AWS, SQL Server, Redshift. Most of the data currently lives in SQL Server. We are experimenting with AWS Redshift as well. Python for coding and someone with experience with Spark MLib & Machine learning is a big plus. Qualifications Extensive experience solving analytical problems using quantitative approaches. Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. A strong passion for empirical research and for answering hard questions with data. A flexible analytic approach that allows for results at varying levels of precision. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner. Familiarity with relational databases and SQL Expert knowledge of an analysis tool such as R, Matlab, or SAS Strong working knowledge of financials Acquired skills would include Data Warehousing, ETL, BI, Data Mining, and Machine Learning. Strong written and verbal skills – able to explain the work in plain language MS in Computer Science or other quantitative disciplines or BA with 2+ years applicable experience" Data Scientist,"Alameda, CA 94501 (West End area)",Sila Nanotechnologies,"WHO YOU ARE Sila Data Systems is the small, expert team that writes and runs modern, data-driven applications and infrastructure to integrate research, experimentation and product characterization with automated, high-volume, software-configurable manufacturing. As a software-savvy data scientist at Sila, you democratize analytics to empower the Sila research, engineering and manufacturing teams. You develop sophisticated models and implement them in software to help stakeholders understand and visualize both time-series and complex laboratory datasets. You work closely with other senior contributors across Sila, applying state-of-the-art data-oriented software engineering to repeatably process data created by our on-site research and production plant. You understand and appropriately apply statistical analysis and machine learning techniques to maximize value for our users and productivity for our team. Your collaboratively reviewed and well tested code leverages our platform-as-a-service infrastructure and event-driven data pipelines to maximize velocity, transparency and reliability. RESPONSIBILITIES AND DUTIES Work closely with fellow engineers and team leads to develop data models and analytics for Sila research, equipment, process and battery engineering, manufacturing and business operations datasets Deliver high quality, maintainable data-oriented code to automate analysis and create ongoing, actionable insights With senior technical stakeholders, develop dashboards to monitor performance and visualizations to inform ongoing investigation and experimentation Evangelize and apply modern software engineering practices to maximize maintainability and shared ownership of our codebase Solicit and participate in rigorous learning-focused code review With colleagues in Data Systems, triage incoming requests from our stakeholders and prioritize ongoing development With colleagues in Data Systems, respond as needed to understand, mitigate, correct and prevent operational incidents KNOWLEDGE AND SKILL REQUIREMENTS 5+ years of hands-on data science and software engineering A B.S. or higher in computer science, engineering, math or physical sciences Hands-on approach. You are actively engaged in design and development of new algorithms, models and data handling software Systems-level thinking. You approach your work holistically, and the solutions you design and build demonstrate careful consideration of all aspects of each problem Skills and working experience with relational, document-oriented and key-value storage architectures Skills and working experience with event-driven data pipelines Experience with Python, R, C#, SCADA/PLC time-series data, laboratory measurement-generated datasets, and/or software that interacts with the physical world would be nice Experience with scientific operations management, manufacturing execution, and/or enterprise resource planning would be nice" AI Scientist - Symbolic AI (Natural Language Reasoning),"Irvine, CA",MIND AI,"Would you like to work on a REAL AI? Not just processing but Natural Language Reasoning. We (https://www.mind.ai) are a startup, developing a new paradigm and we are looking for a versatile talent who is interested in changing the world. This is not deep learning but something totally new. We need people with open and creative minds.We need someone who understands the meaning in language, and how to model its logic. To be able to explain it to human and machine, both. Knowledge of ontology and epistemology (as per metaphysics) highly desired, as well as a broad curiosity of figuring out how information is delivered and understood, symbolically.Specifically, an AI Scientist involves: Thorough understanding of the technology we currently employ and are developingApplying existing logical frameworks to our proprietary theorySelf-directed research to solve theoretical and practical issues in technology developmentCritical analysis of new theory being developed, and its applicationCoordination with linguists on determining what kinds of ontology will be usefulCoordination with engineers on how new theory is to be implementedCoordination between linguists and engineers, especially in how ontology is implementedInvestigation into the fundamental concepts of intelligence, information & meaning, being & causationAbstract problem solving, with the ability to make solutions plain to everyone developingBASIC QUALIFICATIONSMaster’s or higher degree in a relevant field (related to AI and Natural Language Understanding (NLU))2+ years experience in developing NLU (4+ years experience in related fields), language processing, semantics, or formal logicExperience with computational ontologyExperience working with boolean and other types of logicFluency in English (second language is a plus - Korean, Thai, Chinese)PREFERRED QUALIFICATIONSExpertise in building ontologies, taxonomies, and semantic relation frameworksExperience in programming in Perl, Python, or another scripting languageExperience in using grammars, with context and context-freeExperience with statistical language modelingExcellent communication, strong organizational skills and very detail orientedComfortable working in a fast paced, highly collaborative, dynamic work environmentExperience with existing ontologies such as Cyc or SUMOFamiliarity with the 3 types of logical reasoning (Deductive, Inductive & Abductive)Job Type: Full-timeSalary: $70,000.00 to $100,000.00 /yearEducation:Master's (Required)Language:English (Required)Korean (Preferred)" Data Scientist Intern,"Durham, NC 27703",Infinia ML,"Infinia ML is looking for interns excited to develop skills and gain experience in data science and machine learning. Take this opportunity to learn from and contribute to a new and growing company focused on cutting-edge machine learning and deep learning technology. Collaborating with our team of researchers and data scientists, typical activities may include: Developing and evaluating statistical models, machine learning algorithms, and data processing techniques Working with business-critical data on applications of natural language processing, bioinformatics, and image recognition Applying deep learning techniques to large datasets through GPU-accelerated processing Developing tools and libraries that support processing and analysis of datasets Prior experience or coursework in machine learning is required and candidates must show a motivation and desire to learn the theory and practice of the field. Candidates should meet the following requirements: Currently pursuing an advanced degree (MS or PhD) in a quantitative field (statistics, computer science, applied mathematics, etc.) Experience in Python Able to work in RTP for a paid internship" Data Scientist,"San Jose, CA",eBay Inc.,"Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of. The Product Insights team tackles challenging and critical problems facing eBay’s Product & Engineering teams. These problems require deep analysis and thoughtful insights and can directly impact the operations of eBay’s core businesses. Members of the team have the unique opportunity to influence decision making at the highest levels of the organization. We achieve this by partnering closely with the Product & Engineering teams, and identify opportunities that are accretive to their product roadmaps. You will have access to eBay’s vast data resources, which include some of the largest community-based marketplaces in the world. Very few technology organizations can rival the rich set of transactional and behavioral data that eBay has assembled since its inception. Researchers have used eBay data to not only impact business operations, but also to publish in the top peer-reviewed journals in social science. To be successful in this role: Experience and technical skills/knowledge of NLP is very preferred You must have strong technical skills of Python and SQL. You have strong empirical and analytical background, either demonstrated through coursework or original research You have demonstrated the ability to combine quantitative and qualitative findings in order to frame the right questions and deliver actionable insights You are a lateral thinker, who constructively challenges the obvious answer in order to examine the underlying mechanisms or phenomenon You believe collaboration and effective communication are critical to achieving goals Additionally, the following background and experience is preferred: Recent graduate or currently graduating Masters or PhD of a science (e.g. mathematics, physics, engineering, statistics, data science, ML, etc.) Ability to present complex analyses and insights effectively in simple terms Experience with both descriptive and inferential statistics – ability to build basic prototype models Background in ecommerce product experience either through prior research or work experience Experience with site experimentation (A/B testing), econometrics, or casual inference a plus This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies View our privacy policy View our accessibility info eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talent@ebay.com. We will make every effort to respond to your request for disability assistance as soon as possible. For more information see: EEO is the Law Poster EEO is the Law Poster Supplement" Data Scientist I,"San Diego, CA 92108",Knowesis Inc.,"Job Description: Knowesis is looking for personnel to support the United States Special Operations Command Preservation of the Force and Family (USSOCOM POTFF) program in identifying and implementing innovative, valuable solutions across the Special Operations Forces (SOF) enterprise aimed at improving the short and long-term well-being of SOF warriors and their families. This work will be performed at the client’s location on Coronado Naval Station (San Diego CA). Position Requirements/Specific Tasks: Enter, clean, and conduct basic data manipulation and analysis. Build and disseminate databases and spreadsheets designed to record POTFF related programmatic data. Provide consultation and assistance to supported units and POTFF staff to identify opportunities and methods for capturing data relating to POTFF programs and initiatives. Prepare reports and presentations that accurately convey data trends and associated analysis. Enter and analyze data within government systems. Required Experience: Experience and Skills: Proficient with the suite of Microsoft Office programs, including Word, Excel, and Access. Prior experience using statistical software application such as SPSS, SAS, and R. Possess excellent communication skills, presentation skills, and shall be highly detail oriented. Tableau experience or certification (preferred but not mandatory). A qualified candidate will: Work in consultation with POTFF program staff and the Government’s POTFF biostatistician. Serve as the analytical lead in support of program manager. Be able to use statistics and data visualization techniques to provide an accessible way to see and understand trends, outliers, and patterns in data. Be able to read, write, and speak English fluently and clearly in order to effectively communicate with all personnel for which they will interact. Possess sufficient initiative, interpersonal relationship skills and social sensitivity such that they can relate constructively to a variety of contacts from diverse background. A certification or documented experience with Human Performance is preferred. Education: Bachelor’s Degree in quantitative science, social science or related discipline (Bachelor’s Degree in Sports Science with minor in a quantitative science may be acceptable). Clearance Type: Secret From: Knowesis Inc." Data Scientist,"Santa Barbara, CA 93103",HG Insights,"About Us: Headquartered in beautiful Santa Barbara, HG Insights is the global leader in technology intelligence. HG Insights uses advanced data science methodologies to help the world's largest technology firms and the fastest growing companies accelerate their sales, marketing, and strategy efforts. We offer a casual yet professional environment. Get your sweat on at one of our fitness classes or go for a run along the beach which is two blocks away. You can find employees riding bikes to lunch in the funk zone or hanging out in one of our collaboration spaces. We are passionate about our jobs with a get-it-done attitude, yet we don't take ourselves too seriously. What You'll Do: We are looking for a data scientist with software development or data engineering background to join our research team which reports directly to the CTO. We are a rapidly growing company with small focused engineering teams that deliver innovative features to a fast growing market. We build big-data systems utilizing cutting edge technologies and solutions that allow for our engineers to continuously learn and develop while shipping amazing products. Qualities/ Experience: Self-learner, hacker, technology advocate who can work on anything Amazing engineering skills, you're on your way to being the one of the best engineers you know You can architect, design, code, test, and mentor others Experience working with interesting and successful projects Thrive in a fast growing environment Excellent written and spoken English communication An interest in Machine Learning and Natural Language Processing What You'll Be Responsible For: Build solutions for text classification, entity linking, and entity extraction and other related projects Scaling machine learning and NLP projects to run against large datasets in virtualized environments. You will collaborate with Product Development Teams to build the most effective solutions You will develop features in our databases, backend apps, front end UI, and Data as a Service (DAAS) product You will help architect and design large scale enterprise big-data systems You will work on ideas from different team members as well as your own Fix bugs rapidly Attend daily stand-up meetings, planning sessions, encourage others, and collaborate at a rapid pace What You'll Need: BS, MS, or Ph.D. in Computer Science or related technical discipline Experience Natural Language Processing, preferably in a commercial setting. Experience building Logistic Regression Models Proficient in Python and Jupyter as well as related data science libraries (such as Scikit-learn, NLTK, SpaCy, Tensorflow) Proficient in Java or Scala (3+ years experience recommended) Experience with MySQL, ElasticSearch, ESB, Hadoop, Spark, or other related data processing/database technologies Experience with Amazon Web Services (EC2, S3, RDS, EMR, ELB, etc.) Experience with web services using REST in Java Actual coding experience in large distributed environments with multiple endpoints and complex interactions Comfortable in an agile development environment Understanding and have real world experience using design patterns Comfortable programming on a Mac with Intellij and other tools HG Insights Company is an Equal Opportunity Employer Please note that HG Insights does not accept unsolicited resumes from recruiters or employment agencies. In the event of a recruiter or agency submitting a resume or candidate without a signed agreement being in place, we explicitly reserve the right to pursue and hire such candidates without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of HG Insights GjLy4qOEnF" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Data Scientist,"Santa Barbara, CA 93103",HG Insights,"About Us: Headquartered in beautiful Santa Barbara, HG Insights is the global leader in technology intelligence. HG Insights uses advanced data science methodologies to help the world's largest technology firms and the fastest growing companies accelerate their sales, marketing, and strategy efforts. We offer a casual yet professional environment. Get your sweat on at one of our fitness classes or go for a run along the beach which is two blocks away. You can find employees riding bikes to lunch in the funk zone or hanging out in one of our collaboration spaces. We are passionate about our jobs with a get-it-done attitude, yet we don't take ourselves too seriously. What You'll Do: We are looking for a data scientist with software development or data engineering background to join our research team which reports directly to the CTO. We are a rapidly growing company with small focused engineering teams that deliver innovative features to a fast growing market. We build big-data systems utilizing cutting edge technologies and solutions that allow for our engineers to continuously learn and develop while shipping amazing products. Qualities/ Experience: Self-learner, hacker, technology advocate who can work on anything Amazing engineering skills, you're on your way to being the one of the best engineers you know You can architect, design, code, test, and mentor others Experience working with interesting and successful projects Thrive in a fast growing environment Excellent written and spoken English communication An interest in Machine Learning and Natural Language Processing What You'll Be Responsible For: Build solutions for text classification, entity linking, and entity extraction and other related projects Scaling machine learning and NLP projects to run against large datasets in virtualized environments. You will collaborate with Product Development Teams to build the most effective solutions You will develop features in our databases, backend apps, front end UI, and Data as a Service (DAAS) product You will help architect and design large scale enterprise big-data systems You will work on ideas from different team members as well as your own Fix bugs rapidly Attend daily stand-up meetings, planning sessions, encourage others, and collaborate at a rapid pace What You'll Need: BS, MS, or Ph.D. in Computer Science or related technical discipline Experience Natural Language Processing, preferably in a commercial setting. Experience building Logistic Regression Models Proficient in Python and Jupyter as well as related data science libraries (such as Scikit-learn, NLTK, SpaCy, Tensorflow) Proficient in Java or Scala (3+ years experience recommended) Experience with MySQL, ElasticSearch, ESB, Hadoop, Spark, or other related data processing/database technologies Experience with Amazon Web Services (EC2, S3, RDS, EMR, ELB, etc.) Experience with web services using REST in Java Actual coding experience in large distributed environments with multiple endpoints and complex interactions Comfortable in an agile development environment Understanding and have real world experience using design patterns Comfortable programming on a Mac with Intellij and other tools HG Insights Company is an Equal Opportunity Employer Please note that HG Insights does not accept unsolicited resumes from recruiters or employment agencies. In the event of a recruiter or agency submitting a resume or candidate without a signed agreement being in place, we explicitly reserve the right to pursue and hire such candidates without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of HG Insights GjLy4qOEnF" "Data Scientist, Summer Intern","Chicago, IL 60606 (West Loop Gate area)",Cars.com,"The Cars.com Data Science and Algorithms Team plays a vital role in our company's mission to drive the future of automotive retail. We use data to empower business decisions through actionable insights and help product teams improve the user experience through ML/AI algorithms and models. We are looking for a Data Scientist Summer Intern who has knowledge of common machine learning algorithms, programming languages & tools, along with a passion for making an impact through creative storytelling. On a Typical Day You Will: -------------------------- Work closely with product team(s) to synthesize data into recommendations on how ml/ai driven products should evolve. Manipulate high-volume, high-dimensional data from a variety of sources to understand consumer behaviour, identify value-generating patterns, anomalies, relationships, and trends. Research and develop machine learning models. Stay up-to-date with state of the art technology trends and apply advanced algorithms to improve user experience and/or increase marketplace efficiency. Support all iterations of data driven product feature development from algorithm design, production implementation to experimentation and measurement. Requirements: ------------- Excellent problem solving and analytical skills. BS/MS in statistics, econometrics, machine-learning, applied mathematics, computer-science or related quantitative field. Strong programming skills in python/R/scala. Experience with relational databases / SQL. Preferred: ---------- Ability to present your work to executives and communicate with non-technical folks. Ability to learn new ML algorithms by your own and take required courses online, if necessary. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status." Data Scientist,"Rogers, AR 72758",Advantage Solutions,"The Data Scientist will design, implement, and execute the company’s solutions through custom analytical solutions. Identifies business trends and problems through complex big data analysis. Collaborates with internal teams to ensure the delivery of stellar results for our clients. The Data Scientist ensures ongoing optimization and testing, provides reporting and analysis, and recommends implementing opportunities for improvement." Data Scientist,"San Diego, CA 92130 (Carmel Valley area)",XIFIN,"Data Scientist Why XIFIN? XIFIN is a San Diego based SaaS company that leverages diagnostic information to improve the quality and economics of healthcare. Our cloud-based platform facilitates connectivity and workflow automation for accessing and sharing clinical and financial diagnostic data, improving the delivery and reimbursement of care. In addition to our robust technology platform, XIFIN offers a full-service revenue cycle operation for diagnostic companies. Revenue Cycle Operations is a key engine of growth for XIFIN. Through all of products and services we are self-driven innovators who are looking to make a difference in the healthcare technology space. Who are we looking for? We are looking for innovative data scientists with a passion for finding meaningful patterns and insights in large datasets. We are on our mission to optimize diagnostic healthcare costs and outcomes through data, analysis and driving analytics into action. Your contributions to our data, analytics and AI-driven solutions will help empower diagnostic service providers to deliver the best care and patient outcomes possible! What are my responsibilities? Defining and implementing machine-learning applications to enhance analytics and workflow decision making in healthcare applications Selecting features, building and optimizing models using machine learning techniques Collaborate with cross-functional agile teams of software engineers, domain experts, and others to build new product features for multiple business units Processing, cleansing, and verifying the integrity of data used for analysis Performing ad-hoc analysis and presenting results in a clear manner Apply machine learning, collaborative filtering, NLP, and deep learning methods to massive data sets What qualifications are needed? BA/BS in Computer Science, Math, Physics, Engineering, Statistics or another technical field required Strong proficiency in data analysis with a keen ability to extract metrics and insight from high-volume and high-complexity datasets Excellent communication skills to present findings and collaborate with subject matter experts Experience with machine-learning and statistical modeling tools and techniques Talent for effective feature evaluation and dimensionality reduction Advanced data preparation skills, particularly using SQL on complex relational datasets Experience with Cloud Data Technologies Redshift, Spark, Hadoop, SageMaker a plus Experience with Tableau a plus Experience in laboratory, medical or financial accounting industry a plusEEO Statement XIFIN provides equal opportunity for all applicants without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, sexual orientation, veteran status, or any other basis protected by state or federal law." Data Scientist,"Aliso Viejo, CA",Driveway,"We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner and will regularly evaluate alternate models via theoretical approaches. They must have a proven ability to drive business results with their data-based insights. Primary Responsibilities: Understanding data flow in a large, distributed system. Designing, coding and executing data investigations. Performing robust statistical analyses. Producing internal presentations, customer reports and visualizations to summarize the conclusions. Handle a diverse set of problems ranging from probabilistic interference on phone trajectories, data fusion between noisy sensors, modeling and classification of driving behavior, and data visualization. All other duties as assigned. Qualifications: Masters or PhD in Computer Science, Mathematics, or related field. 3+ years performing data analysis on real world figures. Strong programming skills for constructing and understanding data pipelines, particularly in Python (scipy/numpy) and SQL. Experience with modern/emerging scalable computing platforms and languages (e.g.Spark). Strong computer skills including MS Office Suite, Google docs and other needed software platforms. Excellent oral, written and listening skills. Entrepreneurial spirit, desire to be part of an early stage startup. Bootstrapping mindset but obsessive about quality. Positive attitude with superior interpersonal skills. Honest and dependable. Comfortable working across every level of an organization including company executives. Team player with the ability to display sensitivity, tact and responsiveness with current and prospective employees. Self-starter who accomplishes major tasks and initiatives with little supervision. Business-to-business experience a plus. Organized proactive problem solver. Ability to handle confidential and sensitive information. If you want to fill this role, tell us why at jobs@driveway.ai" "Data Scientist – Python, R, NLP","Irvine, CA",Food People,"Overview One of the fastest growing startups is seeking a Data Scientist. They build a product that integrates Salesforce with Google. If you are a Data Scientist with Python experience, please read on! What You Will Be Doing – Deal with with unstructured text, structured business data, and semi-structured relationship data. – Work on a Big Data platform – Work with a team of highly intelligent engineers that have a proven track record of success. – Transform sales from being driven by intuition to driven by science and data Company: Unknown company Qualifications: What You Need for this Position – Master’s or PhD in Computer Science, Data Science, Business Analytics, Applied Mathematics, Physics – Python – R – NLP (natural language processing) – Machine learning techniques (regression, classifiers, clustering) Bonus Points for: – Experience developing and shipping a data science product. – Experience with graph algorithms and network analysis Specific requirements: Applicants must be authorized to work in the U.S. Educational level: Master Degree Tagged as: Big Data, Clustering, Data Mining, Industry, Machine Learning, Master Degree, United States You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer." Data Scientist,"Gainesville, FL 32635",Bridgerock Data,"Company Description Founded in Silicon Valley, scaling in Gainesville, FL. We are a profitable, bootstrapped tech startup offering competitive salary + equity packages to top candidates. Our office is in the Innovation Hub in Downtown Gainesville. Our first cofounders met as early hires at the successful fintech startup, Square. Bridgerock Data is a Data Science first technology company focused on direct to consumer brands (DTC). This ecommerce market is growing fast. Few people know that at $61bn per year, the ecommerce platform, Shopify, sells more online than Walmart, and may soon pass the entire chain. Shopify, and its competitors, enable creative retail startups to flourish. The most successful of these all hit a major growth painpoint: Brands must advertise to grow, but marketers fear wasting money on ads. Bridgerock uses Data Science to show which ads are wasting money. We are not an AdTech agency. We audit the AdTech agencies. We solve important, practical, challenging problems. We focus on accuracy. Cutting low impact marketing spend is a big advantage to our clients. We are taking applications for several technical positions. If you are interested in what we do, or know our stack, please apply online or submit your resume and cover letter to people@bridgerockdata.com. Technologies we use Javascript, HTML, CSS, Jinja Postgres, Redshift Python, Django Roles Considered Engineering Lead Software Engineer Software Engineering Intern Full, Front, Back End Developer Data Analyst Data Scientist Job Description/Requirements Data Analyst or Data Scientist Write data routines primarily in SQL (Postgres and Redshift), sometimes in Python. Build key data sets to empower operational and exploratory analysis. Monitor key client metrics; understand root causes of changes in metrics. Build and analyze dashboards and reports. Evaluate and define metrics. Automate analyses and author pipelines via SQL and python based ETL framework. Partner cross functionally to identify opportunities for tools improvement. Full Stack Developer or Software Engineer Write Python in our Django framework Automate analyses and author pipelines via SQL and python based ETL framework. Partner cross functionally to identify opportunities for tools improvement. Build, scale, and maintain data warehouse infrastructure Rapidly prototype front end app At bridgerock, we value applicants with Excellent stakeholder management and communication skills while working with technical and non-technical audiences High standards for code quality, testing and performance Can-do attitude, fast learner, and great interpersonal skills Very strong attention to detail A desire to continue learning A personal commitment to quality Additional Information At Bridgerock Data, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status." Data Scientist / Statistician / Economist,"Santa Clara Valley, CA 95014",Apple,"Summary Posted: Jan 17, 2020 Weekly Hours: 40 Role Number:200117199 The individual in this role will be responsible for interpreting quantitative data and developing statistical models to forecast and monitor infrastructure demand for Apple Cloud Services. Key Qualifications 2+ years of experience doing complex forecasting and data analysis Strong statistical background and experience with time series modeling (e.g. ARIMA, exponential smoothing, time series regression methods etc.) Experienced R programmer also proficient in other languages important to the ETL data pipeline (e.g. SQL) Experience with data visualization packages (e.g. ggplot2, plotly Excellent collaborator with strong written and verbal communication skills Comfortable working in a loosely structured organization and advancing multiple projects at once on a tight schedule Ability to share results with a non technical audience Experience building and maintaining R packages Innate curiosity Experience with bayesian time series modeling and Stan (or Stan interfaces e.g. brms, rstanarm, rstan) is a plus but not required Experience building interactive dashboards and apps (e.g. Shiny) is a plus but not required A passion for statistics, forecasting, and R is also a plus but also not required Description As members of the Services Forecast & Efficiency data science team, we work with various engineering teams to understand current and future infrastructure demand (storage, network, CPU, etc.). We need to be persistent and flexible in extracting data from various sources, cleaning and curating these data, and then clearly and concisely summarizing any insights. In this role you will build models to forecast the financial impact of new hardware and software releases across different scenarios and develop internal visualization and modeling tools to facilitate data-driven decisions. You should be comfortable communicating results and other analytical findings to business partners. Education & Experience Minimum Bachelor’s degree in Statistics, Mathematics, Economics, or other quantitative disciplines. Masters or PhD preferred." Data Scientist : 19-04967,"Rancho Cucamonga, CA 91730",Akraya Inc.,"Primary Skills: Python Programming 3+ years experience, Data ScienceDuration: 6 Months+ (contract to hire)Contract Type: W2 OnlyQualifications:Experience Level: 4+ years or 48 + Months Python is required. At least 3+ years of experience writing production-quality Python code REQUIRED, and 4+ years of real world working experience as a data scientist REQUIRED. NLP is highly preferred, but not required. Education: High School. To follow up with any questions, please contact Eram at 408-816-2471 Akraya is an award-winning IT staffing firm and the staffing partner of choice for many leading companies across the US. We offer comprehensive benefits including Health Insurance (medical, dental, and vision), Cafeteria Plan (HSA, FSA, and dependent care), 401(k) (enrollment subject to eligibility), and Sick Pay (varies based on city and state laws). If this position is not quite what you're looking for, visit akraya.com and submit a copy of your resume. We will get to work finding you a job that is a better fit at one of our many amazing clients. Akraya is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Akraya is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation." Cyber Security Data Scientist University Grad,"Carlsbad, CA 92009 (Bressi Ranch area)",ViaSat,"Bigger challenges. Bolder ideas. Global impact. At Viasat, we're on a mission to deliver connections with the capacity to change the world. We're the company behind the world's fastest satellite internet service, with technology that's helping to bridge the digital divide and improve life for our customers around the globe. By providing powerful new ways for people to connect with one another, gain greater access to education, entertainment, medical research, commerce, and much more, our team is empowering millions of customers worldwide. We're growing rapidly and looking for passionate, innovative professionals to join our team and connect the world to more. You'll work in a collaborative and inclusive environment that values diverse perspectives and continuous learning, and provides industry-leading benefits with unmatched opportunities for career growth. Our team is fearless in pursuit of new ideas and uncompromising in our quest to become the world's first truly global Internet Service Provider. Interested in joining our mission? Take a look at career opportunities at Viasat today. Job Description Every day, petabytes of data from Viasat networks across the globe are collected, processed, and stored - and our Cybersecurity Analytics team within ANCS mines this data to reveal new insights. The Cyber Security Data Scientist will leverage cutting edge technologies to perform statistical analysis and inference, data modeling, clustering and predictive analysis. As a key member of the technical team, you will translate cyber and network security related questions into sophisticated models and help derive new insights to drive business decisions, and protect and defend against cyber-attacks. You will be working with unique data sets, security appliances and interdisciplinary teams to create complete and holistic analyses. You will help create elaborate models focusing on network traffic due to malware and cyber threat detection that will analyze and predict their security risks. Our Team Our Cyber Security Data Analytics Team is dedicated to keeping our customers safe and making our networks cyber resilient while preserving our casual, start-up atmosphere and environment. On Viasat’s multiple networks we see a diversity of cyber-attacks every day including from the most sophisticated attackers, Advanced Persistent Threats (APTs) and nation states. We employ the latest technologies (Spark, Kafka, Impala, Hadoop) to analyze Petabytes of data our operational systems collect. Our developers, data scientists, security analyst and engineers collaborate in multi-disciplinary teams to gain insight; solving both business and technical problems. Job Opportunity Cybersecurity Data Scientists serve as the backbone of the Cybersecurity Analytics team. Some of the job duties include, but are not limited to: Parameterization and Abstraction: Use data-driven methodologies to discover/develop and abstract key security and malware metrics across multiple models and network segments to support network traffic due to malware and security threat evaluation and analysis, including evaluation of alternate threat detection and network bandwidth consumption due to malware models and future business scenarios. Modeling: Architect, Design, Build and Support data models using both real time and historical analysis approaches to support security, business, technical planning, and decision-making. Visualization: Create visualizations and reports to effectively convey the information discovered through data analysis. Requirements Bachelor's degree in Computer Engineering, Computer Science, Cyber Security, Informatics, Data Science or related technical field or equivalent practical experience Experience with Big Data technologies such as Spark, Impala, Hadoop Excellent understanding of several statistical and machine learning models Extensive experience with data analysis tools such as R, Python, Jupyter, Anaconda, Scikit-learn, BigML, TensorFlow, RapidMiner, Weka, Matlab, Tableau and Others Basic understanding of networking fundamentals Excellent communication skills (writing, presenting, storytelling and visualization) troubleshooting, problem solving, and critical thinking Interested in pursuing a career in the cybersecurity domain Ability to travel up to 10% Preferences Info Security / Cybersecurity Experience Bioinformatics degree Intermediate level knowledge of networking stack including TCP/IP Experience with Machine or Deep Learning and TensorFlow applied to Cybersecurity PhD in a data related field such as mathematics, informatics, computer science, physics, or similar Additional requirements Minimum education: BA/BS Years of experience: 0-1 years Travel: Up to 10% Citizenship: US Citizenship Required Clearance: None Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic." Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Data Scientist Asc,"Stratford, CT 06615",LOCKHEED MARTIN CORPORATION,"Performs exploratory research and analysis to identify novel and meaningful patterns in data and uses statistical methods to reject or accept proposed hypotheses about relationships or latent predictive factors discovered through their work to provide business value. Uses a combination of tools, technologies, and numerical computing systems (i.e.: GPU processing, distributed computing, highly parallel coding, cloud computing, machine learning, visualization, system modelling and simulation) to achieve results. Areas of expertise should include several of the following: applied statistics, text mining, natural language processing, deep learning, optimization, and other similar fields.Basic Qualifications:Work on datasets with applied statistics and machine learning algorithmsUse exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and discover opportunities in datasets to support decision-makingDevelop predictive models and new algorithms to solve data / business problemsUnderstand the math and statistics behind the models and interpret, extrapolate, and prescribe from data to deliver actionable recommendations using effective visualizationsVisualize and communicate findings and provide a quantitative framework for evaluating and analyzing alternatives Desired Skills: Foundational understanding of a broad set of tools to be able to apply the right tool to each data exploration activity. Tools could include, for example:Descriptive and Predictive modelingMachine Learning (supervised and unsupervised)Advanced statistics and statistical modelingTime series analysis and forecastingOptimization and simulationCommunication, story-telling and visualizationDistributed computing (Hadoop)Importing, cleaning, and transforming datasetsData warehousingCritical thinking & problem-solving skillsData preparation and transformationLanguages: Python, Pig, Hive, Spark, SQL BASIC QUALIFICATIONS: job.QualificationsLockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They’re dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.EXPERIENCE LEVEL: 4 yr and up College" Data Scientist/Analyst,"Boston, MA 02298",Social Fulcrum,"WHO WE ARE: Social Fulcrum is a team of data scientists, platform experts, and creatives who work collaboratively to develop marketing strategies based on data-driven decisions, not assumptions. Social Fulcrum drives rapid growth and profitability for our clients via digital advertising campaigns. We help companies quickly acquire customers and incrementally increase revenues while lowering cost per acquisition. WHAT WE BELIEVE IN: Be Data Driven Work Hard, Move Fast Take Ownership Be Resilient Help Others Succeed THIS ROLE: We’re looking for a multi-tasking DATA SCIENTIST to join our Analytics team and work closely with our internal Performance/ Account Management, software, and creative teams to ensure we’re tracking and analyzing the performance of our client’s advertising campaigns. Reporting to the Manager of Data Analytics, seize this opportunity to use your analytical background and skills and apply them to helping our diverse portfolio of clients. THE IDEAL CANDIDATE WILL BE ABLE TO: Identify, configure and update our client’s conversion tracking and analytics needs Build and maintain client specific analytics files and ensure these files are up to date and accurate Build and maintain client analytics dashboards Work within Python codebase to troubleshoot and debug code Troubleshoot analytics issues or data inconsistencies Address technical client concerns or questions Manage and solve a variety of internal technical requests REQUIREMENTS Bachelor’s degree or equivalent experience in a technical/analytical field Expertise with Microsoft Excel and Google Sheets Experience with Microsoft Power BI or similar business intelligence tool is essential, as is software QA or technical customer service experience Familiarity with Python, and MySQL or similar database scripting language Familiarity with AWS (RDS, Elastic cloud compute), preferably also Heroku, nice to have Familiarity with Git, basic UNIX/LINUX terminal commands and bash scripting Ability to support internal IT/end user support tasks Knowledge of advanced statistical techniques and concepts (regression, statistical tests and proper usage, etc.) A drive to learn and master new technologies and techniques. Excellent analytical thinking and problem-solving skills Prioritization, time management and stress management skills. Get stuff done! BENEFITS: Unlimited PTO Medical, dental, vision insurance, 401(k) with employer match, as well as employer contribution to commuter account. Company culture - Work hard, be weird. No, seriously, be weird. Incredibly cool workspace." Data Scientist,"Hunt Valley, MD",Bethesda Softworks,"Overview Global video game publisher/developer headquartered in Rockville MD, seeks an entry Level Data Scientist to join the Enterprise Business Intelligence team in Hunt Valley, MD. This position works within the Enterprise BI Team and is responsible for the reporting and analytics for game, customer, and business data. The Data Scientist will be focusing on supporting analytic needs from all facets of the business, including e-commerce, finance, and game event data. The incumbent will have at least 1-2 years of relevant experience partnering with both technical and business teams to facilitate analytics and reporting. The Data Scientist will be responsible for validating incoming data, facilitating creation of reports, aiding advanced Data Scientists in analytics, making sure reports align with business requirements, and confirming that internal and external developed systems properly meet the need of populating said data models. Qualifications At least 1-2 years of work experience or equivalent academic degree A good understanding of data modeling concepts and visualization methods Intermediate to Advanced SQL skills Experience with data manipulation Familiarity with Tableau (or similar visualization software) Experience maintaining and troubleshooting enterprise reports and analytics Comfortable exploring and analyzing unfamiliar datasets, both structured and unstructured Comfortable operating in both data warehousing as well as big data solution environments Able to conduct requirements gathering and define business needs Excellent communicator and comfortable interfacing directly with differing customers across the organization in addition to the BI team Experience working within the Video Games industry preferred, though candidates from outside of the industry are also welcomed Programming experience is a plus (e.g. Scala, Python, R) Understanding of the Free-to-Play/Micro-transaction Business Model for different game types is a plus A personal interest in video gaming is a plus Capable of managing multiple projects at a time Self-driven attitude Responsibilities Work within the Enterprise BI team, supporting reporting & analytics from multiple data sources; Databrick, Amazon Redshif,Tableau Work directly with business stakeholders, ensuring that business requirements are captured and met Directly work with the ETL Engineers, Data Engineers, and Modelers to communicate and define necessary extracts and calculations Create documentation of work from end to end (ingest to report/analysis) Straddle differing subject areas such as in-game and business data sources Use statistical methods to analyze data for multiple business stake holders Data mining using state of the arts methods" Data Scientist,"Seattle, WA",ActZero.ai,"At ActZero, our mission is simple: Stop cyber threats, protect the world.We are developing the most effective, managed security service powered by AI, while building a rewarding and values-centered environment for our team. As the Senior Data Scientist on the ActZero Data Science Team, reporting to the Head of Data Science, your job is to analyze and build predictive models on terabytes of customer data to detect and prevent cyberthreats. You will employ your curiosity and creativity in finding unique methods for anomaly detection and threat classification. You will advise our Platform Engineering Team on how to effectively build ETL pipelines for data science analysis, model building, and model evaluation, and will participate in creating the data science workflow and best practices. We're a team of talented engineers and security professionals. Our team has led cybersecurity at the White House, led NVIDIA's cloud platform, helped build Akamai's security practice, and launched ML at WatchGuard. While we're a small and rapidly growing team, we have the stability and funding of a series B company. We believe in doing the best work of our careers in a collaborative environment supported by work-life balance, great benefits, a stable work environment, and building a culture led by our values (https://www.keyvalues.com/actzero). You will ... Create the ML models necessary to detect and stop cyberthreats for businesses around the world Using data analysis, identify new opportunities to use data science, ML and AI to improve cybersecurity for our customers Develop and help measure company metrics around data quality and model evaluation criteria Partner with Platform Engineering to help them create ETL to create data stores that can be used for both data science and production purposes.We'd like to speak with you if you have ... Strong knowledge of analytics and predictive modeling, including experience with statistical models, deep learning, and deploying machine learning models into a production environment. A passion for and experience working with big data An innovative and passionate spirit, an ability to overcome technical issues in a cooperative environment, a commitment to ship quickly, and familiarity with agile software development practices. Programming experience with Python or Spark. Experience with developing model-based products from an idea to a finished product. The ability to deal with ambiguity, communicate technical topics with both partner teams and non-technical stakeholders, and a compassionate understanding of the customer experienceAbout ActZero ActZero is building the most effective, AI-powered MSSP. We foster a culture centered upon our customers and rooted in mutual trust and committed to execution, where we continuously learn and improve, like the AI systems we develop. Founded in 2019, ActZero is backed by Point72 Ventures, a global venture capital firm led by a diverse set of domain experts with the capital to support rounds through all stages of company growth. ActZero celebrates diversity and is committed to creating an inclusive workplace. We are an Equal Opportunity Employer and consider, develop and retain candidates without regards to race, color, national origin, sex, age, religion, sexual orientation, gender identity, veteran status, marital status, physical or mental disability, or other protected classes under all local, state, and federal laws and ordinances. If you'd like to learn more about our company culture, please take a look at our Key Values profile: https://www.keyvalues.com/actzero." Data Scientist,"San Francisco, CA 94133 (North Waterfront area)","Kevala, Inc","_Title: Data Scientist __ Job Summary __ _ Kevala is looking for a data scientist to help us accelerate a clean energy future by making energy-related data meaningful, transparent and broadly accessible. This role is focused on building the Grid Assessor data platform and will be based out of our San Francisco, CA headquarters. This position reports to the Director of Engineering.Responsibilities and DutiesThe successful candidate will be part of a team that regularly releases updates to Grid Assessor and other Kevala products. This position will build on existing Kevala projects for the automotive and electric utility industries that are accelerating the decarbonization of the global economy and be primarily focused on modeling aspects of the power grid, from energy consumption, distribution, and production to electric vehicle charge optimization.Qualifications and Skills A Bachelor’s of Science degree in data science or a minimum of four years equivalent job experience in a data science-related field.Preferred working knowledge of Geospatial and Time Series databasesExperience using or willingness to learn Python Data Stack (Pandas, Numpy, SciPy), PyTorch, Scikit-learn, and Tensorflow.*_ About Kevala __ _ Kevala’s team is solving the challenges facing energy market participants interacting with the evolving electricity grid. America’s aging electric system is facing rapid transformation from changing technology and the proliferation of distributed energy resources. Kevala is providing data and analysis to accelerate smart investment in a world served by a more robust, environmentally sustainable, effective, and safe grid. The principle of creating a better future by mapping our mutual energy sources and systems is the foundation for everything we do. For more information, visit us at https://kevalaanalytics.com/Job Type: Full-timeSalary: $110,000.00 to $150,000.00 /hourExperience:workinGeospatial and Time Series databases: 2 years (Preferred)data scientist: 4 years (Preferred)Education:Bachelor's (Required)Work Location:One locationBenefits:Health insuranceDental insuranceVision insurancePaid time offFlexible scheduleParental leaveProfessional development assistanceThis Company Describes Its Culture as:Innovative -- innovative and risk-takingOutcome-oriented -- results-focused with strong performance cultureTeam-oriented -- cooperative and collaborativeSchedule:Monday to Friday" Biological Data Scientist,"San Francisco, CA 94143 (Haight-Ashbury area)",University of California San Francisco,"The Data Science CoLab is seeking researchers in computational biology, bioinformatics, and data science to tackle current challenges in immunology. As part of the Data Science (DS) team, you will learn the analysis methods, as well as the conceptual and biological background, to analyze CyTOF and single-cell RNA sequencing data. Once comfortable with these methods, you will perform analyses to contribute to our understanding of immune state in our patient cohorts. You will integrate molecular data with clinical information in an effort to understand how the immune system impacts disease outcomes. You will be expected to document your analyses, present your progress and results, and participate in DS lab meetings. We currently have several projects examining the relationship between immune state and health outcomes in a variety of UCSF patient cohorts, including infection, autoimmunity, and cancer. Our aim is to better understand how the immune system is wired and responds, in order to develop better disease diagnosis and treatments. As a member of the lab, you will contribute to the design of new experiments, help maintain our computational infrastructure, and track the flow of samples and information for large-scale studies. This position is within the Data Science CoLab (dscolab.ucsf.edu). The Data Science CoLab is a collaboration-based research lab that focuses on biological data analysis and computational methods development. We are passionate about data science training for biologists who want to better engage with their data. In addition, we build tools for biologists to store and interact with their data. Our philosophy is that successful data-heavy projects happen by integrating biological understanding and intuition with advanced skills in data science. This can happen by facilitating close collaborations between experimental and computational biologists, as well as by empowering biologists to work with their own data. While this position requires some proficiency in programming and data analysis, the most competitive candidates are those who are fast and eager learners, who can readily adopt new bioinformatics pipelines/workflows that have been developed in the lab and the field at-large and apply them to a series of diverse projects. An aptitude for collaborative work and organization is required to excel in our environment of diverse researchers. The candidate will receive training in data analysis, as well as develop expertise and intuition in biology. This position is ideal for recent graduates and can serve as a stepping stone for a PhD program or career in bioinformatics, computational biology, or data science. Candidates may additionally apply for a spot in the CoLabs Postbac Research Program for additional training. THE COLABS CoLabs is a new model for research collaborations and core labs for the UCSF community. CoLabs brings together several established and successful but previously separate cores plus new institutional support into a new centralized research organization at the Parnassus campus. CoLabs seeks to revitalize the model for core resources by capitalizing on critical personnel and cutting-edge technologies and driving collaboration across disciplines. CoLabs will centralize research teams and create a set of common pipelines and workflows. It will recruit and retain world-class staff and develop transformative methods and technologies through engagement with the research community and institutional investments. The CoLabs initiative is launching now with participation of five founding CoLabs teams, Biological Imaging Development (BIDC), Data Science (DS), Disease to Biology (D2B), Flow Cytometry, and Genomics. The CoLabs will help organize and integrate the UCSF community through common pipelines and data curation around a set of collaborative “CoProjects” that will tackle fundamental questions in the biomedical research. CoProject day-to-day operations are managed and run through the CoLabs. Several CoProjects are already underway, with more coming in line soon. ABOUT UCSF The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences." Data Scientist M/F (Summer Internship),"Houston, TX",Kayrros,"Passionate about tech? Interested in Energy? Come work for Kayrros, a fast-growing start-up using artificial intelligence to transform the world’s biggest industry.Kayrros is headquartered in Paris, with offices in New York, Houston, London, and Singapore. By working for Kayrros, you will join an energetic team of 140 people, with diverse professional backgrounds—from data science and petroleum engineering to sales and marketing—and over 15 different nationalities and 10 spoken languages. Our team of energy experts and tech wizards are working to bring transparency to the global energy market. We employ innovative technologies, like satellite imagery processing and artificial intelligence, to capture and analyse data across the energy sector. Combined with our expert analysis, we give our clients valuable information on global market movements to make better business decisions—whether that’s trading, investing or managing their operations. In September 2018, Kayrros received €21M in Series B funding to continue breaking the boundaries of the energy market. Interested in operating at the intersection of energy and the data revolution? Get in touch! We are currently recruiting for our Houston office, a Data Scientist M/F (3 to 6 months Summer Intern) Data Scientists have a central role in Kayrros. Working in hand with the Energy Analysts and the Software Engineers, they contribute to the whole pipeline of projects, including scoping projects, identifying and collecting data, constructing features, designing models, visualization, testing and improving product with clients. They face two main challenges: The diversity of data available (they have to combine many different sources of data: text data, satellite images, time series…) The diversity of the problems (supervised, unsupervised…) As a Data Scientist, you will therefore have to: Understand energy markets data Formulate problems considering available data and value of information Design, implement and test machine learning algorithms Continuously provide ideas to improve products and take part of all team decision. Profile This is an ideal opportunity if you are looking for a summer 2020 internship, and you want to join a fast-growing start-up. You have a strong background and are passionate about machine learning, statistics, operations research. You are very interested in various topics including deep learning, NLP, machine learning applied to time series, image and signal processing. You demonstrate experience in a least one of these areas You have strong programming skills in Python, Machine Learning libraries, data visualization packages and data manipulation. Previous exposures to GitHub and R programming preferred, or additional languages like Julia You are dynamic, curious and eager to learn about the energy industry You can design and deliver working prototypes in a fast-paced environment and then put them into production with the help of software engineers You are willing to contribute actively and have a real impact to the company success Why join Kayrros? We are a young, fast-growing tech company and are extremely passionate about what we do. We are located in the WeWork building on Main Street in Downtown Houston (free drinks, community events and a collaborative and vibrant atmosphere). Recruitment process Following an initial screening, there may be: A phone interview (HR or Account Manager) A data challenge A physical or skype interview (Team member + Product Manager) The whole process will last no more than one month." Data Scientist Intern,"Troy, MI 48083",Plastic Omnium,"Seeking highly analytical students to join our team this summer !MISSION· Within the Industrial Group Americas, Troy Technical Center site priorities and the digital manufacturing team (Industry 4.0):o Develop, deliver and roll out Data Science solutions (from data extraction & data modeling to interactive visual interface development) to support process robustness effort as well as process optimizationo Contribute to the standardization of tools/methods supporting data sciences with collaboration within the 3 regions for POCES (Americas, Europe and Asia).RESPONSIBILITIES· Collaborate with product & process expert, production & quality teams to:o Understand the team goals and requirementso Extract & manage the data requiredo Provide data modeling through machine learning, advanced statistics/mathematicso Develop interactive end-user interface/application.· Contribute to the regional digital transformation program for Americas:o Propose new Proof Of Concepto Contribute to site specific digital projecto Scout and implement new innovative Data Science tools or solutionso Contribute to the community of practices around Data Analytics by delivery standardized tools/methods supporting Data ScienceACTIVITIES· Work through POCES data systems to understand what’s available, what’s missing - and where to find and collect information.· Develop, implement and maintain effective programs around all elements of data engineering and modeling with a constant eye toward continuous improvement.· Apply data science methods to improve and optimize POCES performance needs, capture meaningful insights from data and turn them into competitive advantages.· Support creation of statistical models to solve specific operational problems, which may include predicting equipment failure to do proactive maintenance for blow molding machines, finishing centers and assembly equipment· Work side by side with talented team members from corporate and production locations on technical issues and on making the change happen.· Other duties as assignedPROFILE REQUIREDPersonal Background· University engineering student in a quantitative field of study (mathematics, statistics, computer science) with 2 years of study completed· Minimum GPA of 3.0 required to maintain· Experience in delivering insights through data analysis & data modeling· Experience in Plastics processing industry, preferred but not necessary· Ability to legally work in the U.S. without requirement of any type of visa sponsorship/transfer now and in the futureSkills and Abilities· Exposure to R/Weka, SQL/Hive, Cassandra, Java/Python, Hadoop and related systems.· Exposure to analytics tools development foundation (data visualization, end user interface, applications).· Good knowledge of statistical approaches, incl. advanced machine learning techniques (e.g. Data Science, Support Vector Machines, Neural Nets, Deep Learning, Machine Learning) and/or optimization· Exposure to Data analytics scope in accordance to the Data Science Vision, Strategy & Way of working.· Working practical knowledge of Microsoft Office· Language skills in Spanish or French, preferred but not necessary· At ease and effective in a matrix, multicultural and fast evolving environment· Must be able to travel 25% domestic & international (US, Canada & Mexico travel)Job Type: InternshipExperience:delivering insights through data analysis &: 1 year (Required)quantitative field of study: 1 year (Required)Exposure to R/Weka, SQL/Hive, Cassandra, Java/Python, Hado: 1 year (Preferred)Work authorization:United States (Required)" Data and Policy Analyst - Statistical Programmer,"Los Angeles, CA",Acumen LLC,"At Acumen, LLC / The SPHERE Institute, Data and Policy Analysts provide analytical support for research and consulting projects for government and private clients, primarily in the area of health policy. This position is responsible for managing and analyzing data, researching and interpreting policy, and communicating findings to multiple audiences. Data and Policy Analysts perform a wide array of functions as part of the research process. Those applicants interested in focusing on statistical programming help create and report descriptive statistic, conduct econometric and statistical analyses of data using statistical software such as SAS and STATA, interpret study specifications, research findings, and quantitative analyses for relevant audiences, develop research files from large confidential datasets, and perform other duties as assigned. Please note, this position is located in our Los Angeles, CA office. In-person interviews will take place at our Burlingame, CA headquarters and candidates will have the opportunity to visit the Los Angeles office before making a decision. As we review your materials, we are looking for candidates who best exemplify the following qualifications: Qualifications Required: Bachelor’s degree in a quantitative, public policy, or related field or equivalent relevant experience Prior work experience is not necessary Good quantitative analytical skills Good oral and written communication skills Good organizational skills and strong attention to detail Familiar with one or more of the following technical competencies: statistics, programming, policy writing, research methods documentation, or project management Able to demonstrate initiative, critical thinking, and problem-solving Able to work in a team-oriented environment Able to prioritize tasks and meet deadlines in a fast-paced environment Demonstrated aptitude and enthusiasm for learning Qualifications Desired: Demonstrated interest in health and social policy Master's degree in a quantitative, public policy, or related field or equivalent relevant experienceAny application without a cover letter will not be considered. Transcripts and coding samples are not required, however highly preferred and may be requested. We are excited to review your application and look forward to seeing how you may best contribute to our work. Required Skills Required Experience" Data Scientist I,"Atlanta, GA 30309 (Brookwood area)",GovStrive LLC,"Other Locations Available Dublin, Ga Arlington, VA The Data Scientist I position supports projects and workstreams that help organizations manage data and develop standard reports that enable evaluation and optimization of business performance and operations. Critical components of this position include supporting the development and delivery of strategies, project approaches, deliverables, and recommendations and performing research and analysis. The Data Scientist I will also support the development of databases and rigorous methods of analysis that meet the needs of diverse clientele. Duties and Responsibilities: Lead key activities or deliverables pertaining to a project workstream, manage team members, plan and prioritize work assignments and propose next steps. Prepare for and support facilitation of client meetings, internal meetings and working sessions. Execute day to day correspondence with client, as directed, and drive client satisfaction through the delivery of quality service/work products and results. Support internal initiatives and non-billable projects while meeting utilization target. Communicate effectively and concisely. Execute against and assist in formulating technical approaches, frameworks and strategies based on guidance received from leadership. Mature and apply critical thinking to problem solving using analysis. Understand project scope and client environment; begin to assess downstream impact of change and apply to future projects. Support the collection, preparation, and management of client data and publicly available datasets such as the Federal Employee Viewpoint Survey (FEVS), the American Community Survey (ACS), and the Current Population Survey (CPS). Contribute to the design of rigorous study protocols for clients and deliverables. Support the analysis of population survey and human resources data, including descriptive and inferential statistical tests (T-tests, ANOVA, Chi-Square, Pearson Correlation, Linear and Logistic Regression, etc.). Required Education and Experience: Bachelor’s Degree and 2+ years of experience Communication Skills Excellent oral and written communications required Must be able to communicate the results of complex research to clients Technical Skills Microsoft Office Suite, particularly Excel, proficiency is required Preferred Experience: Access and other database software experience is preferred Tableau or other data visualization software experience is preferred Competence in SPSS, R, or Python is a plus Critical Thinking and Problem-Solving Skills: Strong critical thinking skills and the ability to solve complex problems using analysis and creativity to successfully provide a solution Ability to multi-task, without losing focus of priorities Ability to design and carry out complex quantitative research" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Junior Data Science Intern (Summer 2020),"San Diego, CA",RippleMatch,"RippleMatch is a VC-backed tech startup using machine learning to automate the job search process. It helps you increase the number of first-round interviews you’re getting at leading employers. Our matching software and team of career advisors do the heavy lifting for you; hence it’s an ideal tool for busy students. Think of the common app; one application can get you in front of numerous teams.RippleMatch is looking for Sophomores, Juniors and Seniors with an up-to-date resume interested in receiving an internship or job offer for summer 2020.Here are a few companies we have partnered with recently1. UPS: looking for interns for their industrial engineering program2. Lazard: world's leading financial advisory and asset management firm, advises on mergers, acquisitions, restructuring, capital structure and strategy.3. MongoDB: one of the most popular database for modern apps. Looking to fill sales and product management full-time roles4. Amazon: looking to fill their managerial positions in their fulfillment centers5. The New York Times: looking for full-time and intern data scientists6. Ernst & Young: one of the largest consulting and accounting firms in the world. Looking to hire full-time for their tech and accounting roles.Apply on our external link and our Leadership Development Representative will contact you for further steps.Apply here: https://ripplematch.com/index?r=vJXXREJob Type: Internship" Data Scientist,"Hunt Valley, MD",Bethesda Softworks,"Overview Global video game publisher/developer headquartered in Rockville MD, seeks an entry Level Data Scientist to join the Enterprise Business Intelligence team in Hunt Valley, MD. This position works within the Enterprise BI Team and is responsible for the reporting and analytics for game, customer, and business data. The Data Scientist will be focusing on supporting analytic needs from all facets of the business, including e-commerce, finance, and game event data. The incumbent will have at least 1-2 years of relevant experience partnering with both technical and business teams to facilitate analytics and reporting. The Data Scientist will be responsible for validating incoming data, facilitating creation of reports, aiding advanced Data Scientists in analytics, making sure reports align with business requirements, and confirming that internal and external developed systems properly meet the need of populating said data models. Qualifications At least 1-2 years of work experience or equivalent academic degree A good understanding of data modeling concepts and visualization methods Intermediate to Advanced SQL skills Experience with data manipulation Familiarity with Tableau (or similar visualization software) Experience maintaining and troubleshooting enterprise reports and analytics Comfortable exploring and analyzing unfamiliar datasets, both structured and unstructured Comfortable operating in both data warehousing as well as big data solution environments Able to conduct requirements gathering and define business needs Excellent communicator and comfortable interfacing directly with differing customers across the organization in addition to the BI team Experience working within the Video Games industry preferred, though candidates from outside of the industry are also welcomed Programming experience is a plus (e.g. Scala, Python, R) Understanding of the Free-to-Play/Micro-transaction Business Model for different game types is a plus A personal interest in video gaming is a plus Capable of managing multiple projects at a time Self-driven attitude Responsibilities Work within the Enterprise BI team, supporting reporting & analytics from multiple data sources; Databrick, Amazon Redshif,Tableau Work directly with business stakeholders, ensuring that business requirements are captured and met Directly work with the ETL Engineers, Data Engineers, and Modelers to communicate and define necessary extracts and calculations Create documentation of work from end to end (ingest to report/analysis) Straddle differing subject areas such as in-game and business data sources Use statistical methods to analyze data for multiple business stake holders Data mining using state of the arts methods" Data Scientist M/F (Summer Internship),"Houston, TX",Kayrros,"Passionate about tech? Interested in Energy? Come work for Kayrros, a fast-growing start-up using artificial intelligence to transform the world’s biggest industry.Kayrros is headquartered in Paris, with offices in New York, Houston, London, and Singapore. By working for Kayrros, you will join an energetic team of 140 people, with diverse professional backgrounds—from data science and petroleum engineering to sales and marketing—and over 15 different nationalities and 10 spoken languages. Our team of energy experts and tech wizards are working to bring transparency to the global energy market. We employ innovative technologies, like satellite imagery processing and artificial intelligence, to capture and analyse data across the energy sector. Combined with our expert analysis, we give our clients valuable information on global market movements to make better business decisions—whether that’s trading, investing or managing their operations. In September 2018, Kayrros received €21M in Series B funding to continue breaking the boundaries of the energy market. Interested in operating at the intersection of energy and the data revolution? Get in touch! We are currently recruiting for our Houston office, a Data Scientist M/F (3 to 6 months Summer Intern) Data Scientists have a central role in Kayrros. Working in hand with the Energy Analysts and the Software Engineers, they contribute to the whole pipeline of projects, including scoping projects, identifying and collecting data, constructing features, designing models, visualization, testing and improving product with clients. They face two main challenges: The diversity of data available (they have to combine many different sources of data: text data, satellite images, time series…) The diversity of the problems (supervised, unsupervised…) As a Data Scientist, you will therefore have to: Understand energy markets data Formulate problems considering available data and value of information Design, implement and test machine learning algorithms Continuously provide ideas to improve products and take part of all team decision. Profile This is an ideal opportunity if you are looking for a summer 2020 internship, and you want to join a fast-growing start-up. You have a strong background and are passionate about machine learning, statistics, operations research. You are very interested in various topics including deep learning, NLP, machine learning applied to time series, image and signal processing. You demonstrate experience in a least one of these areas You have strong programming skills in Python, Machine Learning libraries, data visualization packages and data manipulation. Previous exposures to GitHub and R programming preferred, or additional languages like Julia You are dynamic, curious and eager to learn about the energy industry You can design and deliver working prototypes in a fast-paced environment and then put them into production with the help of software engineers You are willing to contribute actively and have a real impact to the company success Why join Kayrros? We are a young, fast-growing tech company and are extremely passionate about what we do. We are located in the WeWork building on Main Street in Downtown Houston (free drinks, community events and a collaborative and vibrant atmosphere). Recruitment process Following an initial screening, there may be: A phone interview (HR or Account Manager) A data challenge A physical or skype interview (Team member + Product Manager) The whole process will last no more than one month." Data Scientist,"Aliso Viejo, CA",Driveway,"We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner and will regularly evaluate alternate models via theoretical approaches. They must have a proven ability to drive business results with their data-based insights. Primary Responsibilities: Understanding data flow in a large, distributed system. Designing, coding and executing data investigations. Performing robust statistical analyses. Producing internal presentations, customer reports and visualizations to summarize the conclusions. Handle a diverse set of problems ranging from probabilistic interference on phone trajectories, data fusion between noisy sensors, modeling and classification of driving behavior, and data visualization. All other duties as assigned. Qualifications: Masters or PhD in Computer Science, Mathematics, or related field. 3+ years performing data analysis on real world figures. Strong programming skills for constructing and understanding data pipelines, particularly in Python (scipy/numpy) and SQL. Experience with modern/emerging scalable computing platforms and languages (e.g.Spark). Strong computer skills including MS Office Suite, Google docs and other needed software platforms. Excellent oral, written and listening skills. Entrepreneurial spirit, desire to be part of an early stage startup. Bootstrapping mindset but obsessive about quality. Positive attitude with superior interpersonal skills. Honest and dependable. Comfortable working across every level of an organization including company executives. Team player with the ability to display sensitivity, tact and responsiveness with current and prospective employees. Self-starter who accomplishes major tasks and initiatives with little supervision. Business-to-business experience a plus. Organized proactive problem solver. Ability to handle confidential and sensitive information. If you want to fill this role, tell us why at jobs@driveway.ai" "Data Scientist, SIP","Atlanta, GA 30309 (Midtown area)",Invesco,"Invesco is one of the world’s leading global investment managers, entrusted with managing $1.2 trillion* in assets on behalf of clients worldwide. We are the 6th largest US retail asset manager and the 13th largest investment manager globally, and our more than 8,000 employees worldwide are dedicated to delivering an investment experience that helps people get more out of life. We are purely focused on managing a comprehensive range of active, passive and alternative investment capabilities, which we draw on to provide customized solutions aligned to client needs, our most important benchmark. (*As of May 31,2019) Job Purpose (Job Summary): We’re a leading independent investment management firm seeking a globally minded Data Scientist to spearhead development and innovation within our AI team. You will join a fast-paced agile development team building the latest in innovative and disruptive technologies for asset management leveraging the power of big data. In this position you’ll get to envision and develop cutting edge Financial Technologies (aka FinTech) that will contribute to innovation growth for Invesco and the greater financial ecosystem. You’ll be expected to use your quantitative background to develop machine learning and predictive analytics use cases in the investments space and build advanced machine learning models to create competitive advantage for our investment teams. Dream job? Maybe, but caveat emptor, before you submit your application, you should know the following: Excellence is par at Invesco. The environment is demanding, and you will be challenged. We expect that you are fluent in all things data, and you also understand the nuances of financial services and our investment capabilities. You’ll be a part of a dynamic, collaborative team that wants to hear your input because you have a sound foundation in quantitative analysis in the investments space. You will have incredible opportunities for experimentation, so before you submit your application, here are some other things you should know about the position: Everything we do, we do to deliver a superior investment experience. Our Technology team operates under a OneTech mindset, so we are a highly collaborative crew. In this position you’ll be expected to translate your ideas to your team and motivate them to execute, and to execute at the pace of technology —FAST. This position will be well-suited for someone who is a dreamer and executer, who values speed and innovation. Key Responsibilities / Duties: Perform machine learning/statistical analysis methods, such as deep learning, classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, & validation methods Analyze and model structured data using advanced machine learning methods and implement algorithms and software needed to perform analyses Build recommendation engines, sentiment analyzers and classifiers for unstructured and semi-structured data Extend IVZ data with third party sources of information, as required Process, cleanse, and verify the integrity of data used for analysis Perform ad-hoc analysis and present results in a clear manner Perform exploratory data analysis, generate and test working hypotheses, prepare and analyze historical data to identify patterns Design rich data visualizations to communicate complex ideas to customers or company leaders Work Experience / Knowledge: 0-3 years of experience in a role entailing quantitative research and analysis 0-3 years of experience with machine learning Financial services experience preferred either in Financial or Economic Analysis Knowledge of market microstructures and macroeconomic theories, econometric forecasting; capital markets and investments; risk & return; asset pricing, pricing models, and financial engineering Knowledge of efficient market hypothesis, inefficient markets, and behavioral finance; portfolio theory; mathematics of high frequency finance and algorithmic trading desired Understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Applied statistics skills, such as distributions, statistical testing, regression, etc. Experience managing and manipulating large data sets Predictive analytics experience with Python or R Experience with data and machine learning services using Azure, Amazon Web Services (AWS), and / or Google Cloud Agile (Scrum) experience a plus Trading on fixed income products and domain knowledge is a plus Skills / Other Personal Attributes Required: You can bring clarity to chaos and you’re comfortable working with ambiguity (e.g. imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs Autonomous personality. We’ll help guide you, but we won’t micromanage you. We expect integrity and results. Your work and deliverables will speak for themselves Strong analytical and critical thinking skills Strong written and verbal communication skills Must demonstrate a positive, team-focused attitude Ability to react positively under pressure to meet tight deadlines Good inter-personal skills combined with willingness to listen Enjoy challenging and thought-provoking work and have a strong desire to learn and progress Structured, disciplined approach to work, with attention to detail Flexible – able to meet changing requirements and priorities Able to work in a global, multicultural environment Formal Education: (minimum requirement to perform job duties) Advanced Degree in Statistics, Computer Science or other similar from a top tier educational institution preferred CFA or MBA (Finance) – a big plus Working Conditions: Normal office environment with little exposure to noise, dust and temperatures. The ability to lift, carry or otherwise move objects of up to 10 pounds is also necessary. Normally works a regular schedule of hours, however hours may vary depending upon the project or assignment. Hours may include evenings and/or weekends and may include 24 hour a day on call support by pager and/or cell phone. Able and willing to travel both domestically and internationally. Frequency and duration to be determined by manager. Estimate: 10-15%. FLSA (US Only): Exempt The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment." Data Scientist,"San Francisco, CA 94104 (Financial District area)",Figure,"About Figure Figure Technologies creates innovative consumer financial solutions for home improvement, debt consolidation, and retirement while providing financial literacy and financial empowerment. Our mission is to build and promote innovative financial products on blockchain that benefit consumers and eliminate rent-seeking, illiquidity, and other inefficiencies present in current financial markets. At Figure, we build really big things. And to build big, we need a company in which everyone is supported in doing their absolute best work. That is what culture means to us. We are a team of incredibly sharp people who love architecting and building things from scratch. We know we are working with the absolute best and are challenged by our colleagues every day. We are the kind of people who wake up curious each morning and go to bed each night wanting to accomplish more. This is an amazing opportunity to be part of a startup focused on solving real problems with blockchain and to work with a team of proven leaders who have created billions of dollars in value in the Fintech space. Join us! About the Role Each member of the Data team plays an integral part of what we are building at Figure. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company's growth, we invite you to apply. What You'll Do Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance. Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, and underwriting, as well as, other business outcomes. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions. Coordinate with different functional teams to implement models and monitor outcomes. What We Look For Bachelors or Masters in quantitative field with 2+ years of experience working with extensive data sets Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions. Experienced in using Python for analysis and modeling (TensorFlow is a big plus) Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks. Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.) Excellent cross-functional communication skills. Ability to thrive in a fast-paced environment. Benefits to You Firm-wide bonus target Competitive stock options package as an early member of the team A flexible paid time off and vacation policy Comprehensive health, vision, dental insurance Company FSA, 401K and commuter benefits Gym membership And much more to come! Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire." Data Scientist,"Boston, MA 02114 (West End area)",Massachusetts General Hospital(MGH),"The MGH Computational Pathology team innovates in the field of clinical genomics, digital pathology, and pathology informatics. We leverage software solutions, integrated data and machine learning to improve the delivery of patient care. We are seeking a highly motivated data scientist to work with our interdisciplinary team of clinicians, scientists, software engineers and bioinformaticians to develop statistical models and machine learning solutions for the analysis of next-generation sequencing, whole slide imaging, proteomics, and clinical data. Our Computational Pathology team works at the intersection of medicine, life science, data science and computational science. We are working closely with the Center for Integrated Diagnostics, the Iafrate Lab and other research groups within the department of pathology on the development of computational methods and tools for understanding and utilizing biomedical data to improve patient care. You would be joining an experienced interdisciplinary team in developing data-driven clinical decision support tools. If you are excited about the opportunity of developing innovative analytics solutions that will have a real impact on patients, we would love to hear from you! The Data Scientist will work collaboratively with research and clinical teams to develop computational methods and tools for processing, analysis and visualization of biomedical data. In conjunction with the Computational Pathology team and under the leadership of the Director of Computational Pathology, the Data Scientist will: Design, implement and test novel computational methods and tools for genetic and phenotypic characterization of cancer using a variety of biomedical data, including genetic sequencing and microscopy imaging data Train and evaluate machine learning models to predict patient outcomes and response to therapy based on genomic and electronic health record data Train and evaluate deep convolutional neural network models to solve complex computer vision tasks, including image classification, image segmentation and object detection Visualize complex, high-dimensional data Develop software tools to facilitate the model development and evaluation process, the integration of models into computational workflow and the interpretation of model predictions Transform, cleanse, preprocess and manage data sets for computational analysis Assist in data annotation and truthing In addition, the Data Scientist will: Engage with clinicians and translational researchers to collaboratively solve clinically relevant problems Present research at scientific conferences and seminars Publish research results in peer-reviewed scientific journals This individual must: Demonstrate intellectual curiosity and desire for continuous learning Stay up to date with developments and innovations in the fast-moving field of machine learning Be dedicated to employment of good software development practices and delivery of high-quality software Qualifications MS degree in Computer Science, Engineering, Applied Math, Bioinformatics, Computational Biology or related field One year of practical data science experience in industry or academia required (may include research as part of master or PhD thesis) Experience in healthcare or life sciences preferred EEO Statement Massachusetts General Hospital is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged. Primary Location: MA-Boston-MGH Main Campus Work Locations: MGH Main Campus 55 Fruit Street Boston 02114 Job: IT/Health IT/Informatics - Other Organization: Massachusetts General Hospital(MGH) Schedule: Full-time Standard Hours: 40 Shift: Day Job Employee Status: Regular Recruiting Department: MGH Pathology/Clinical Labs Job Posting: Feb 11, 2020" Data Scientist,"Waltham, MA 02451",Rangam Consultants Inc.,"Project Development is hiring a Data Scientist for our Data Analytics Group in Waltham, MA & Melville, NY. Interviews for both NY & NE Position will be conducted in Waltham, MA together. Please note that traveling for the interview is required.Job Purpose:As a Data Scientist in Project Development, you will define and build models, mine big and small data to better understand Gas & Electric Projects KPIs and performance metrics within the Network Development Process, and develop maintainable solutions, all of which would make you the catalyst of process reengineering through advanced analytics. You will work in a dynamic organization to turn data into actionable intelligence. The variety and complexity of challenges you will solve is second to none, but most important is the impact your work will have on the organization.Project Development Data Analytics Group provide insights and conclusions from multiple sources of information in a variety of different formats using analysis techniques, statistical modeling that range from simple to advanced. An ability to work cross-functionally and on Agile teams is critical and you should have a broad knowledge of statistical & probabilistic analyses, data engineering, programming/software development, and effective visualization and presentation.Key Accountabilities:Lead major projects from conception to completion, working with multiple teams of stakeholders directly to understand and address their analytic needs.Identify, extract, and integrate data sets ranging in size from spreadsheets to big data; prepare and clean data for use in advanced analysis.Employ sophisticated analytics programs, machine learning, and statistical methods for predictive and prescriptive modeling, forecasting, and simulations.Develop structured, documented, version-controlled code that enables automation and post-roll out customer self-service reports.Contribute toward the strategic vision for shaping the Data Science Team of tomorrow.Be intellectually curious and enjoy learning.Supervisory/Interpersonal- Experience RequiredQualifications5+ years of experience in business environment as a data scientist/business analyst/quantitative analyst and a Bachelor’s degree; or 5+ years of similar experience and a Master’s degree; or 3+ years of similar experience and a PhD.Experience leading projects and/or teams.Demonstrated ability to communicate and interact with business stakeholdersDemonstrated ability to translate technical knowledge into business termsFluency in: Machine learning tools, techniques, visual basics, and writing macros.Python object-oriented programming/development, SQL and NoSQL.Demonstrated ability to utilize Data Mining techniques to segment/classify customers, predict likelihood of product adoption, and profile customer base from not only an algorithmic standpoint, but a conclusion and insight drawing perspective, from tools and data that do not lend themselves to algorithmic solutions is requiredCan query, clean, and merge datasets from various sourcesStrong Statistical and Mathematical background is required: Math (e.g., linear algebra, calculus, and probability), Statistics (e.g., hypothesis testing, descriptive statistics, etc.)Preferred Skills and Experience:Familiar with cloud computing in Linux environment (Azure / AWS is a plus)Strong Business Analytics background (NPV, DCF, and Cost Benefit Analysis)Regulated utility experienceBig data frameworks (Hadoop, Spark, Hive)NoSQL experienceExperimental Design experienceGIS knowledge (ArcGIS is a plus)Interactive visualization tools (Tableau / Power BI is a plus)Knowledge of Agile frameworksAbility to learn multiple programming languages/database engines in addition to those required above for the purposes of analyzing and using data; not software development.Can describe machine learning tools and techniques (supervised and unsupervised) to a non-technical audienceJob Type: ContractSalary: $35.00 to $70.00 /hourExperience:data science: 4 years (Preferred)Machine Learning: 5 years (Preferred)data scientist: 5 years (Required)hadoop: 4 years (Preferred)Education:Bachelor's (Required)Location:Waltham, MA 02451 (Preferred)Work authorization:United States (Required)Contract Renewal:LikelyWork Location:One locationBenefits:Health insuranceSchedule:Monday to Friday" Data Architect/ Scientist,"Worth, IL",Quest America,"· 10+ years of experience in Data Sciences .· Good experience in Python and Machine Learning.· Should have experience in Cloud platforms like AWS and serverless architecture.· Should have built and productionize models built in Python using frameworks like Scikit Learn, XGBoost and other.· Should have experience with Flask or other f/w which can host Machine Learning models.· Ideally should have been involved in Data Science or Analytics projects or have executed multiple PoCs.· Should have extensive data analysis experience, should know about various exploratory techniques and able to present the findings to the end user.· Should be conversant with various charting techniques to explore relationships in a dataset.· Should at least know two Machine Learning algorithms· Should know about statistical concepts such as Hypothesis testing, various tests, correlations, etc.· We are looking for Data Science Engineering candidates who have software development experience as well (3-4 years) and have done at least two projects in software development.· This is an individual contributor role.· Vibration analysis will be nice to have skill. (not mandatory)Nice to have - Tensorflow , Pytorch, Deep Learning knowledge.Job Types: Full-time, ContractSalary: $70.00 to $80.00 /hour" People Analytics Data Scientist,"New York, NY 10036 (Midtown area)","D. E. Shaw & Co., L.P.","The D. E. Shaw group is seeking a data scientist to join its Human Capital Analytics and Products (HCAP) team. Members of HCAP are curators of employee data and leverage it to help answer strategic and operational talent questions for leaders across the business. Explore Leadership Founder Our People Hear from the Group Core Principles Diversity and Inclusion Community Impact Sustainability Investment Approach Managing Risk Renewables Industry Leadership How To Join Career Development Choose Your Path Interviewing Internships Upcoming Events Fellowship Program Application FAQ What you’ll do day-to-day The data scientist will be responsible for envisioning, implementing, and maintaining the technical infrastructure that will drive HCAP’s people analytics priorities forward. The output of this effort will be automated reporting products and data visualizations that provide efficient access to talent insights for senior business leaders throughout the firm. This position provides ample opportunities to collaborate with technical professionals across the firm and deliver best-in-class people analytics infrastructure, including the design and implementation of a central data warehouse. Who we're looking for Ideal applicants will have a bachelor’s degree or higher and three to five years of relevant work experience developing automated analytical reporting products in a business setting. Experience building ETLs, manipulating data at scale, and overseeing the technical operations of data infrastructure is essential. Knowledge of scripting languages for data retrieval and transformation (e.g., R, Python, SQL) is critical. The ability to collaborate with a product manager and software development team in the architecture of a central data warehouse that will facilitate efficient reporting automation is also vital. Familiarity with business intelligence programs (e.g., Tableau, Power BI, Pentaho, Shiny) and leading practices in data visualization is desired. Individuals who possess a dedicated customer service mentality, excellent interpersonal communication skills, an ability to see how small details impact the bigger picture, and a knack for rapid problem solving are highly sought after. Willingness to dive into details, collaborate effectively with teammates, and drive projects to completion is imperative. The ability to exercise extreme discretion with confidential information is also essential. People analytics experience is preferred but not required. The members of the D. E. Shaw group do not discriminate in employment matters on the basis of race, color, religion, gender, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law. Note that for us, this is more than just a legal boilerplate. We are genuinely committed to these principles, which form an important part of our corporate culture, and are eager to hear from extraordinarily well qualified individuals having a wide range of backgrounds and personal characteristics. The D. E. Shaw group may collect, use, hold, transfer, and process candidates'' resumes and associated information (including personal information contained therein) for purposes reasonably related to their application, including without limitation: review and management of employment applications and supporting materials; administration and management of offers to and communication with candidates; and administration, management, and improvement of the recruiting operations of the D. E. Shaw group; and/or where reasonably required in connection with a proposed sale, spin-out, reorganization, or outsourcing of all or some of the business of the D. E. Shaw group. The D. E. Shaw group will not use such information for purposes unrelated to the foregoing, such as direct marketing of third-party products to candidates, without candidate consent. As used herein, the term ""personal information"" is meant to broadly describe information identifying or relating to a specific individual; it is intended to encompass ""personal data,"" ""sensitive personal data,"" and ""personally identifiable information"" and similar terms, as those terms are defined by law in the jurisdictions in which the D. E. Shaw group operates. The D. E. Shaw group may transfer such personal information within and outside the country and jurisdiction of the locations where the D. E. Shaw group maintains offices, to other D. E. Shaw group affiliates, to government and regulatory authorities, and to third parties which provide or may provide support and/or services to the D. E. Shaw group and for the purposes set forth above. The persons who may have access to this personal information are other employees of the D. E. Shaw group, in connection with the performance of their duties of employment, and the other parties listed above, in connection with the business of the D. E. Shaw group. (Of course, candidates will be considered for employment opportunities only in those countries in which they express interest.) The D. E. Shaw group will use reasonable care to maintain the confidentiality of personal information (including appropriate technical measures against unauthorized or unlawful processing and against accidental loss or destruction of, or damage to, such information) and will retain such data as required by applicable law or regulation. Candidates have the right to request access to, and correction of, their personal information in accordance with applicable law; any such request should be submitted to recruiting-inquiries@deshaw.com. Candidates who have submitted a resume to the D. E. Shaw group and do not wish to proceed with their applications should email cvwithdraw@deshaw.com. Personal information of candidates who have been the subject of background checks may have been transferred in accordance with applicable regulations, including without limitation the E.U.-U.S. Privacy Shield; any concerns with such transfers should be submitted to backgroundcheck-inquiries@deshaw.com. The D. E. Shaw group may retain candidates’ information for use in future recruitment exercises; candidates who do not agree to such future use should email recruiting-inquiries@deshaw.com. New York City HQ 1166 Avenue of the Americas New York, NY 10036" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Data Scientist,"Boston, MA",John Hancock,"Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations. Job Description Job Duties: Develop and implement analytics enabled solutions to improve business process, generate insights, support business goals, and develop strategy. Own and deliver complete predictive modeling projects of moderate scope and manage assigned tasks on more complex predictive modeling projects. Analyze large data sets and prepare data for predictive modeling. Apply models and methods such as classification and regressions (Linear, Logit, Multinomial Logit, Poisson, Proportional Odds, Lasso, Ridge), decision Trees, clustering (Traditional, Bagged, Hierarchical), Random Forest, GBM, SVD, SVM, and text Mining etc. to solve business problems ranging from Marketing, Finance, Operations, Risk or Strategy domains across all the organizations geographies and divisions. Demonstrate shared value through the operationalization of algorithms into a business process. Communicate results of cases of moderate complexity to business partners and recommend solutions to more senior data scientists. Minimum Requirements: Master’s degree in any field with relevant coursework in database management, Python, and business intelligence data mining and 1 year of experience with business operations in the life insurance industry. Employer will also accept a Bachelor’s degree in any field with relevant coursework in database management, Python, and business intelligence data mining and 3 years of experience with business operations in the life insurance industry. Experience must include: 1 year of experience with machine learning / predictive modeling including regression, decision trees, clustering, random forests, and generalized linear models. 1 year of experience with analysis (e.g. R, SAS) packages and programming languages (e.g. Python). 1 year of experience with large data sets and big data platform, SQL, SAS, and other methods for manipulating relational databases. 1 year of experience with visualization tools such as Tableau, Power BI, etc. for creating dashboards and delivering insights using visualization tools. Experience may be gained concurrently.If you are ready to unleash your potential it’s time to start your career with Manulife/John Hancock. About Manulife Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and wealth and asset management solutions for individuals, groups and institutions. At the end of 2019, we had more than 35,000 employees, over 98,000 agents, and thousands of distribution partners, serving almost 30 million customers. As of December 31, 2019, we had $1.2 trillion (US$0.9 trillion) in assets under management and administration, and in the previous 12 months we made $29.7 billion in payments to our customers. Our principal operations are in Asia, Canada and the United States where we have served customers for more than 100 years. We trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong. Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially." Physics Data Scientist,"Foothill Ranch, CA",TAE TECHNOLOGIES,"TAE Technologies, Inc, formerly known as Tri Alpha Energy, has a national lab sized research program in high beta magnetically confined fusion plasmas, based around the advanced, beam driven, Field Reversed Configuration. It has built and is operating the new C-2W experiment, aka Norman, which is one of the largest fusion plasma experiments in the United States. The goals of C-2W are to push high beta fusion plasmas into new parameter regimes and to guide the design of future fusion power plants. With its vast diagnostic suite, C-2W is an ideal and fertile testing ground for new plasma theory and simulation.The Data Science organization at TAE is looking for a talented individual to help us tackle some of the world’s biggest challenges. Essential duties and responsibilities include, but are not limited to: Help plan, develop, deploy, and maintain the entire Data Science pipeline at TAE: from acquisition and storage to processing and visualization. Aid in our efforts to distil raw data into knowledge by iterating with scientific staff and domain experts to convert prototype algorithms into robust scientific data processing routines. Responsible for all stages of the software product life cycle – planning, analyzing, coding, debugging, testing, deployment, and maintenance. Can easily, effectively, and successfully work on multiple tasks both independently and collaboratively within a group. Required Education: Required Education: M.S. in plasma physics or related field Preferred Education: Ph.D. in plasma physics or related field Required Experience: 3+ years developing in python Experience using common python data analysis and visualization packages such as NumPy, SciPy, Pandas, and Matplotlib. Able to work in a diverse R&D environment and communicate effectively and professionally with co-workers at all levels Passion for data integrity as this is central to what we do as a group. Preferred Experience: Familiarity with one or more Machine Learning libraries like Scikit-Learn, TensorFlow, and/or Keras Exposure in applying Bayesian statistical inference tools to experimental data Familiarity and comfort using the command line" NLP Research Scientist (Los Angeles),"Los Angeles, CA",DiDi Labs,"NLP Research Scientist – DiDi Labs (Los Angeles) Our team in Los Angeles is currently focused on Natural Language Processing. We are excited about the future of communication, transportation, and artificial intelligence. Smart cars should speak and understand human language, and people should be able to order services and solve their problems by speaking. Furthermore, people who speak different languages should be able to communicate with one another. NLP Research Scientists make key contributions to our overall mission by tackling interesting, challenging, previously-unsolved problems, and by using state-of-the-art methods to solve them. Responsibilities:Define ambitious, relevant AI research problems and criteria for evaluating success. Build state-of-the-art solutions by designing algorithms and carrying out experiments. Work with engineering teams, when appropriate, to get solutions into use. Qualifications:Ph.D. in Computer Science or related field. Publications in top-tier conferences in Natural Language Processing, Machine Learning, Speech Processing, or Statistics. Proficiency in large-scale programming in C++, python, or related systems. Good communication skills. Preferred Qualifications:5+ years experience in professional research on Natural Language Processing or Machine Learning. 5+ years experience with robust, large-scale, parallel computing systems." Associate Data Scientist / Data Analyst,"Wichita, KS 67212",Net Pay Advance,"As an Associate Data Scientist / Data Analyst, you will be required to provide accurate and timely data support, analysis and maintenance using statistical math and algorithms on a variety of reports, charts, models and projects that have a direct impact on all aspects of Net Pay Advance, Inc. FINANCE & ANALYTICS TEAM MEMBER Reports to Director of Analytics ESSENTIAL DUTIES AND RESPONSIBILITIES Contribute using SQL and R or Python languages to the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Find, clean, and integrate data into usable and helpful information. Identifies and utilizes data analysis and measurements effectively to identify performance trends, shortfalls. Identify campaigns, strategies, and processes that drive highest results. Turn data into insight: segment, cluster, model and mine to better understand behaviors and trends. Analyze why things happened and predict what could happen in the future based on data. Identify gaps in current data systems, drive and contribute to development of systems to bridge gap. Plans and executes ongoing strategies including maximization of technologies and processes. Responding with urgency to high priority requests from senior business leaders. Adhere to professional conduct standards as defined by company guidelines. Take initiative to make things better and provide solutions for challenges. Demonstrate commitment to continued personal and professional improvement. Supports management and advocates in day-to-day operations. Anticipate operational needs based on volume/expansion and make recommendations. Drive change – produce clear, understandable visualizations and reports to share with Senior Management. QUALIFICATIONS BS, MS or PhD in Computer Science, Statistics, Applied Mathematics, or a related field (with 3 years of experience preferred). In depth knowledge and understanding of underwriting desired. Background in data mining, machine learning, statistical analysis, and modeling. Strong SQL abilities and experience with massive relational database systems. Programming skills in R or Python and experience with related machine learning packages. Proven track record of assisting business decisions with accurate data and analysis. COMPETENCIES Ability to produce significant output with minimal waste of effort. Plans, organizes and schedules time in an efficient, productive manner. Ability to structure and process qualitative or quantitative data and draw insightful conclusions from it. Exhibits a probing mind and achieves penetrating insights. Doesn’t let crucial details slip through the cracks or derail a project. Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship. Ability to communicate well, including the ability to take complex topics and create relatable narratives for different audiences. A decisive individual with excellent organizational skills and the ability to multi-task effectively The above statements are intended to describe the general nature and level of work performed by advocates assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel in this position." Data Scientist,"Washington, DC 20020 (Anacostia area)","T. White Parker Associates, Inc.","T. White Parker is seeking an experienced Data Scientist that will exercise his/her knowledge of descriptive and multivariate statistical techniques and applications, and database analysis tools and techniques to develop strategic insights to drive business goals. The ideal candidate will also strive to advance the state-of-the-art in how analytical approaches are applied to data assets in order to derive insights that will solve the most critical organizational problems. The ideal candidate would also lead and advise data analysts, software engineers, and end users on how to work effectively with vast quantities of data and achieve an intuitive understanding of complex analytical approaches. Primary job duties and responsibilities include, but are not limited to the following:Work with an integrated client team to define metrics, guidelines, and strategies for effective use of algorithms and data Serve as a lead/advisory Data Scientist to identify, design, and build effective analytical solutions for challenging organizational problems Create analytics and machine learning architectures, coding standards, statistical reporting, and data science methodologies Establish links across existing data sources and find new, interesting mash-ups Coordinate data resource requirements between the analytics and engineering teams Work with product managers, engineers, and analytics team members to translate prototypes into production Support expanding prototypes into broader production applications Assist in the development of data management policies and procedures Develop best practices for analytics instrumentation and experimentation Conduct research and make recommendations on big data infrastructure, database technologies, analytics tools, services, protocols, and standards in support of procurement and development efforts Drive the collection of new data and the refinement of existing data sources Develop algorithms and predictive models to solve critical business problems Develop tools and libraries that will help analytics team members more efficiently interface with large amounts of data Analyze large, noisy datasets and identify meaningful patterns that provide actionable results Develop and automate imputation algorithms Create informative visualizations that intuitively communicate insights derived from complex analyses Provide and apply quality assurance best practices for data science services across the organization Develop, implement, and maintain change control and testing processes for model optimization, validation, and monitoring Collaborate with database and disaster recovery administrators to ensure effective protection and integrity of data assets Manage and/or provide guidance to junior members of the analytics team B.S. in Data Science, Analytics, Mathematics, Statistics, Computer Science or related disciplines Four to six years of relevant professional experience Extensive experience solving analytical problems using quantitative approaches Expertise in manipulating and analyzing complex, high-volume, high-dimensionality data from diverse sources Strong proficiency in R and Python Experience with RDBMS and non-relational/distributed databases Experience with both supervised and unsupervised machine learning techniques Experience in relevant software development Strong ability to quickly deduce organizational goals and objectives Strong ability to envision potential analytical solutions that further the achievement of organizational goals and objectives Knowledge of applicable data privacy practices and laws Uncompromising commitment to maximizing the impact of analytical solutions Strong ability to think holistically and to “begin with the end in mind” Creativity, curiosity, and aptitude for deducing analogical conditions and corresponding solutions across disparate fields Intrepid innovativeness in envisioning potential solutions A healthy dose of skepticism regarding the capabilities of Artificial Intelligence Uncompromising commitment to analytical rigor, transparency of analytical solutions, ethical execution of Data Science and Analytics operations Driven to stay informed about the field and relevant developments A flexible analytical approach that can incorporate varied forms of analysis for diverse collections of problems A strong passion for empirical research and for answering hard questions with data Exceptional written and oral communication skills Strong technical documentation skills Exceptional interpersonal skills Highly self-motivated and directed Keen attention to detail Ability to effectively prioritize and execute tasks in a high-pressure environment Strong customer service orientation Experience working in a team-oriented, collaborative environment" Data Scientist,"Austin, TX",Digital Minds technoliges Inc,"Cortex, Python, Mongo, Java, Spring BootJob Type: Full-timeSalary: $90,000.00 to $100,000.00 /yearExperience:Cortex: 4 years (Required)Mongo: 4 years (Required)Spring Boot: 4 years (Preferred)Java: 4 years (Preferred)data scientist: 6 years (Required)Python: 4 years (Required)Additional Compensation:Other formsWork Location:One locationBenefits:Health insuranceDental insuranceOtherSchedule:Monday to FridayBenefit Conditions:Only full-time employees eligible" Computational Linguist - AI (Natural Language Reasoning),"Irvine, CA",MIND AI,"Would you like to work on a REAL AI? Not just processing but Natural Language Reasoning . We ( http://www.mind.ai ) are a startup, developing new paradigm and we are looking for versatile talent who is interested in changing the world. This is not deep learning but something totally new. We need people with open and creative minds.We need someone who knows what language is, and how it works. And can explain it to human and machine, both. Natural language parsing and generation. Will interface with lexical parsers. Knowledge of ontology and epistemology (as per metaphysics) would help greatly.Specifically, the Computational Linguist will: Provide analysis of natural language sentences to fit into our data model (universal dependencies & penn treebank II tags)Measure and analyze accuracy of lexical parserWork on scaling, contextualization/disambiguation, further development of knowledge representationDevelopment of common sense ontologyIncorporation of existing knowledge bases (SUMO, YAGO, CYC etc)Coordination with software engineers in implementationCollaborate with other Computational Linguists to integrate dataBASIC QUALIFICATIONSBachelor’s or higher degree in a relevant field2+ years experience in computational linguistics (4+ years experience in related fields), language data processing, semantics, or philosophy of languageExperience with language annotation and other forms of data markupExperience working with speech and text language data in multiple languagesFluency in English (second language a plus - Korean, Japanese, Chinese)PREFERRED QUALIFICATIONSExpertise in building ontologies, taxonomies, and semantic relation frameworksExperience programming in Perl, Python, or another scripting languageExperience in using grammars to interpret novel structuresExperience with statistical language modelingExcellent communication, strong organizational skills and very detailed orientedComfortable working in a fast paced, highly collaborative, dynamic work environmentExperience with Universal Dependencies & Penn Treebank II TagsFamiliarity with 3 types of logical reasoning (Deductive, Inductive & Abductive)Job Type: Full-timeSalary: $70,000.00 to $100,000.00 /yearExperience:computational linguist: 2 years (Preferred)Language:English (Preferred)" Data Scientist - Forecasting,"New York, NY",Amazon.com Services LLC,"MS in a quantitative discipline such as Statistics, Mathematics, Data Science, Business Analytics, Economics, Finance, Engineering, or Computer Science.2+ years work experience in an analytical role involving data extraction, analysis, and communication.Proficiency in at least one statistical software package such as R, Stata, Matlab, or Python.Experience with object-oriented programming languages.Expertise using SQL for acquiring and transforming data.Outstanding quantitative modeling and statistical analysis skills.Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences. Where will Amazon's growth come from in the next year? What about over the next five? Which product lines are poised to quintuple in size? Are we investing enough in our infrastructure, or too much? How do our customers react to changes in prices, product selection, or delivery times? These are among the most important questions at Amazon today. The Topline Forecast team in the Supply Chain Optimization Technologies (SCOT) organization is dedicated to answering these questions using statistical methods. We develop cutting edge data pipelines, build accurate predictive models, and deploy automated software solutions to provide forecasting insights to business leaders at the most senior levels throughout the company. We are looking for a talented, driven, and analytical researcher to help us answer these (and many more) questions. This Data Scientist role will design quantitative systems and forecasting models that generate multi-billion dollar predictions of the highest level of visibility and importance for Amazon's financial and operational planning. A successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, and possesses strong communication skills to effectively interface between technical and business teams. As a Data Scientist on the Topline team, you will collaborate directly with economists and statisticians to produce modeling solutions, you will partner with software developers and data engineers to build end-to-end data pipelines and production code, and you will have exposure to senior leadership as we communicate results and provide scientific guidance to the business. Key Responsibilities:Implement statistical methods to solve specific business problems utilizing code (Python, R, Scala, etc.).Develop models and data-driven analyses to support strategic decisionsImprove upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.Directly contribute to the design and development of automated forecasting systems.Build customer-facing reporting tools to provide insights and metrics which track forecast performance and explain variance.Collaborate with researchers, software developers, and business leaders to define product requirements, provide analytical support, and communicate feedback.Presenting critical data in a format that is immediately useful to answer questions about the inputs and outputs of Forecasting systems and improving their performance. Amazon is an Equal Opportunity Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. 4+ years of work experience in an analytical role involving data extraction, analysis, and communication.Experience building complex data visualizations.Experience working in command-line Linux environments.Experience with causal inference, applied time series modeling or machine learning forecasting applications.Strong project management skills." Data Scientist Consultant,"Burbank, CA 91505 (Media area)",Capgemini,"Data Scientist Consultant046496 3+ year of experience as a Data scientist Good understanding and hands on experience with Neo4j How to model data for graphsknows graph analytics Good experience on Python and Pyspark Visualization skills Python Good experience with Databricks is an advantage Willing to travel Candidates should be flexible / willing to work across this delivery landscape which includes and not limited to Agile Applications Development, Support and Deployment. Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. (Includes Data Modeler, Data Miner.) Responsible for importing, cleaning, transforming, validating and modeling data with the purpose of understanding and drawing conclusions from data (may be presented in charts, graphs, and/or tables). Also, design and develop relational databases for collecting and storing data and build and design data input and data collection mechanisms. Required Skills and Experience: You are responsible for data related activities such as data extraction, profiling, cleansing, de-duplication, standardization, conversion, transformation and loading, data mining, warehousing, archiving and reporting. Responsible for all activities required to ensure optimum performance and data integrity of databases in production environments, in line with the requirements. Responsible for providing support of server based databases in development and test environments including database software installation, database creation, performance and capacity design, backup and recovery design, security design, providing Analytical feedback as appropriate.Qualifications: 1-3 years experience, Bachelor’s Degree.Should have progressing skills in Software Engineering Techniques, Software Engineering Architecture, Software Engineering Lifecycle and Data Management.Should have baseline skills in Business Analysis, Business Knowledge, Software Engineering Leadership, Architecture Knowledge and Technical Solution Design. Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Click the following link for more information on your rights as an Applicant : http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law About Capgemini A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50 year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of 200,000 team members in more than 40 countries. The Group reported 2018 global revenues of EUR 13.2 billion. Visit us at www.capgemini.com. People matter, results count. Job Programmer/Analyst Schedule Full-time Primary Location US-CA-Burbank Organization I&D" Data Scientist,"Burlington, VT 05401",Faraday Inc,"About FaradayFaraday helps consumer brands find, convert, engage, and retain more customers using AI. Located in the historic Maltex Building in beautiful Burlington, Vermont, we're a fast-growing venture-backed startup founded in 2012.Our valuesWe believe in privacy and are committed to ending the widespread proliferation of consumer data. We believe in science and the power of statistically significant conclusions. We believe in equality and reject all forms of algorithmic prejudice. We believe in health and fun and encourage a positive work/life balance.Our dedication to diversityWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.About our Data Science teamAt the heart of the Faraday AI platform is a shared machine learning pipeline framework built from the ground up. Our data scientists work with clients and their Faraday account managers to carefully define one or more business goals for deployment on the platform. The pipeline uses these ""outcome"" definitions to perform ETL, training data formation, feature engineering, model building, validation, scoring, and deployment.Your team is also responsible for curating the Faraday Identity Graph from upstream data sources, preparing interpretive analysis for clients, and nurturing Faraday’s quantitative culture.About your roleWe're looking for an expert, curious, relentless, trustworthy data scientist to join us at Faraday. You will pursue a variety of challenges, including:Determining the best predictive approaches to meet clients’ business outcomes.Driving research and development of new algorithms, tools, and methodsCommunicating and providing context to clients.Improving and maintaining Faraday data science productsBeing curious—there’s so much we don’t know in the world of data science, and our only guaranteed driver of innovation is the collaborative work of open minds.You are a methodical, self-motivated individual, capable of keeping your eye on the finish line amidst competing priorities. You have good interpersonal abilities which you will employ regularly, including:Weekly team meetingsTransparent project trackingFollowing security protocols to keep sensitive data safeSupporting account managers with data science expertiseYour credentialsThis position requires one of the following, where a relevant degree is indata science, statistics, natural science, mathematics, computer science, or other related field:Relevant PhD, orRelevant Masters and at least two years experience, orRelevant Bachelors and at least three years experienceYour experienceYou have a foundation in statistical inferenceYou have demonstrated practical applications of data scienceYour technical backgroundYou are comfortable with Python and SQLYou’re familiar with data visualization best practicesYou have experience with classifier algorithms (e.g. decision trees)Location and compensationThis position is based in Burlington, VT, and offers competitive pay and benefits.Job Type: Full-timeWork Location:One locationBenefits:Health insuranceDental insuranceVision insurancePaid time offSchedule:Monday to Friday" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Data Scientist,"Redmond, WA",Microsoft,"The Microsoft Digital Store reaches hundreds of millions of customers worldwide each month through Xbox consoles, microsoft.com, and windows app -three store fronts. The aspiration of MSFT digital store is to delight every customer with fantastic and unified shopping experience. MSFT Digital Store Analytics & Planning Team has an opening for an outstanding data scientist interested in machine learning and AI. The job will involve statistical analysis, cohort study, machine learning and predictive modeling by leveraging complex network of data sources. You are an expert in statistics / data science. At daily basis, you will organize and “wrangle” large datasets, perform analysis on customer behavior data, conversion and campaign data to help business to identify pattern, drivers, and create predictive models. You are the go-to-person for statistical questions and experimentation, and you will infuse statistical rigor into the analysis and reporting at a new scientific level. You will partner with business stakeholder and turn insights into actions. The ideal candidate has working experience in statistics, data mining, machine learning and has a curious mind that is interested in identifying opportunities to solve problems and grow revenue. The successful candidate will be a self-starter who embraces ambiguity and evolving fast-pace environment. If you are passionate about driving business impacts through data and building a culture that leverage data smartly, then this might your new opportunity! Responsibilities Primary Responsibilities: Perform data mining, statistical research, customer segmentation, profiling, and modeling to provide solutions to business needs and to support long-term digital marketing strategies Research and evaluate large volume of data from disparate sources (e.g. online and offline data, survey data, behavior data, commerce data, text data, etc.) to identify statistical patterns and form ideas for modeling. Conduct exploratory data analysis, machine Learning, data mining and statistics to build solutions with actionable insights from high-volume behavior data. Build text analytics solutions by applying advanced ML techniques for entity extraction, scoring, and topic clustering. Create meaningful presentations and analyses that tell a “story” focused on insights, not just data Define and measure success KPIs/metrics through applied data science that help improvements in conversion or customer satisfaction. Provide data-focused analytics leadership and promote data-driven decision making Qualifications Experience & Qualifications: BS/MS in data science, economics, analytics, statistics, computer science or related discipline is required 2+ years of experience working in machine learning with large volumes of data from disparate data sources is required Strong theory/algorithm background and very good understanding on how to apply advanced statistical techniques to solve real problems. Extensive knowledge and experience in at least one of the following areas: data mining, machine learning, statistical analysis, controlled experimentation Experience working on Big Data and ML technologies – Azure ML, Cosmos/Hadoop, Databricks, R, Python, SQL, SAS Excellent communication and presentation skills, ability to explain complex data in easy to understand stories/visualization to management and large groups Self-starter who can work autonomously and across teams Critical thinking, and problem-solving skills Strong organization and prioritization skills Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work." Sponsor Funded Professional - Data Scientist,"Atlanta, GA",Georgia State University,"The Georgia Policy Labs (GPL) is a collaboration between Georgia State University and a variety of government agencies to promote evidence-based policy development and implementation. GPL works to create an environment where policymakers have the information and tools available to improve the effectiveness of existing government policies and programs, try out new ideas for addressing pressing issues and decide what new initiatives are promising enough to scale up. The ultimate goal is to help government entities more effectively use scarce resources and make a positive difference in people’s lives. GPL focuses on improving outcomes in K-12 education in metro Atlanta, high-school based career and technical education in multiple U.S. states, and child and family safety, economic well-being, all levels of education through rigorous, evidence-based research. In addition, GPL serves as a teaching and learning resource for state officials and policy makers, students, and other constituents. The Georgia Policy Labs seeks a curious and conscientious Data Scientist. This position will help our team of researchers and government partners discover and understand the data we hold related to education, safety, and economic well-being. This position will contribute to the data management, processing, and analysis of large data sets. In addition, this position will contribute to the development of our team’s analytical toolkit, especially as it relates to coding, building matching algorithms, cleaning, and data wrangling using languages such as Python or Java.This position is designed for someone who enjoys a fast-paced, team environment and who wants to be an active and contributing member in a developing, mission-led organization. Experience with extraction, transformation, loading, database management and design, and SQL queries will be beneficial. This position will work both independently and as a team member with confidential data sets. Training opportunities will be encouraged and supported for this position; travel commitments are limited. Key Responsibilities: Clean, de-identify, organize, manipulate, and link large, micro-level administrative data sets to ensure accuracy, completeness, uniformity, and availability for research purposes Apply informatics principles, including mining and visualization of large data sets, to inform government partners and researchers about trends, patterns, and relationships Develop databases; perform extraction, transformation, and loading tasks; create extensive SQL queries to execute matching of data sets from disparate organizations; and general data wrangling activities Write clean, accessible code to advance research efforts by applying models and algorithms Other duties as assigned Disclaimer: This job requisition provides a high-level job definition. It is not intended to provide a comprehensive or exclusive list of job duties. As such, job duties and/or responsibilities within the context of this job requisition may change at the discretion the employee’s direct supervisor. Qualifications: Bachelor's degree and five years of related experience; or a combination of education and related experience. College/Business Unit: Andrew Young School of Policy Studies Department: Georgia Policy Labs Location: Atlanta Campus Shift: 8:30 a.m.-5:15 p..m. Salary : $60,000 - $86,000 Pay Grade: 20 FLSA Status: Exempt Job Type: Full Time (Benefits Eligible) Job Posting: 03/03/20, 2:06:34 PM Closing Date: 03/23/20, 10:59:00 PM Preferred Hiring Qualifications: An ideal candidate should have mastery of programming languages, which may include SQL, Python, SAS, or Stata. An ideal candidate must demonstrate an interest in data manipulation using tools such as SQL and Python and be excited by using administrative data to improve the outcomes of children and families. The candidate must be able to clearly communicate, in person and on paper, complex concepts, models, and code to lay audiences. In addition, ability to work in MS SQL Server on MS Windows is helpful, as is experience with data visualization. Master’s degree in data science, computer science, or statistics is preferred. Experience working with governmental administrative data, public policy, or economic issues is preferred. Additional Preferred Qualifications: Special Instructions: To be fully considered for this position all candidates at the time of submission must provide the following documents: A complete and accurate GSU application Resume Cover Letter Three professional references Two samples of work products Please note, Georgia State University’s career board updates daily and requisitions are subject to be removed without prior notice or before the posting expires." People Analytics Data Scientist,"New York, NY 10036 (Midtown area)","D. E. Shaw & Co., L.P.","The D. E. Shaw group is seeking a data scientist to join its Human Capital Analytics and Products (HCAP) team. Members of HCAP are curators of employee data and leverage it to help answer strategic and operational talent questions for leaders across the business. Explore Leadership Founder Our People Hear from the Group Core Principles Diversity and Inclusion Community Impact Sustainability Investment Approach Managing Risk Renewables Industry Leadership How To Join Career Development Choose Your Path Interviewing Internships Upcoming Events Fellowship Program Application FAQ What you’ll do day-to-day The data scientist will be responsible for envisioning, implementing, and maintaining the technical infrastructure that will drive HCAP’s people analytics priorities forward. The output of this effort will be automated reporting products and data visualizations that provide efficient access to talent insights for senior business leaders throughout the firm. This position provides ample opportunities to collaborate with technical professionals across the firm and deliver best-in-class people analytics infrastructure, including the design and implementation of a central data warehouse. Who we're looking for Ideal applicants will have a bachelor’s degree or higher and three to five years of relevant work experience developing automated analytical reporting products in a business setting. Experience building ETLs, manipulating data at scale, and overseeing the technical operations of data infrastructure is essential. Knowledge of scripting languages for data retrieval and transformation (e.g., R, Python, SQL) is critical. The ability to collaborate with a product manager and software development team in the architecture of a central data warehouse that will facilitate efficient reporting automation is also vital. Familiarity with business intelligence programs (e.g., Tableau, Power BI, Pentaho, Shiny) and leading practices in data visualization is desired. Individuals who possess a dedicated customer service mentality, excellent interpersonal communication skills, an ability to see how small details impact the bigger picture, and a knack for rapid problem solving are highly sought after. Willingness to dive into details, collaborate effectively with teammates, and drive projects to completion is imperative. The ability to exercise extreme discretion with confidential information is also essential. People analytics experience is preferred but not required. The members of the D. E. Shaw group do not discriminate in employment matters on the basis of race, color, religion, gender, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law. Note that for us, this is more than just a legal boilerplate. We are genuinely committed to these principles, which form an important part of our corporate culture, and are eager to hear from extraordinarily well qualified individuals having a wide range of backgrounds and personal characteristics. The D. E. Shaw group may collect, use, hold, transfer, and process candidates'' resumes and associated information (including personal information contained therein) for purposes reasonably related to their application, including without limitation: review and management of employment applications and supporting materials; administration and management of offers to and communication with candidates; and administration, management, and improvement of the recruiting operations of the D. E. Shaw group; and/or where reasonably required in connection with a proposed sale, spin-out, reorganization, or outsourcing of all or some of the business of the D. E. Shaw group. The D. E. Shaw group will not use such information for purposes unrelated to the foregoing, such as direct marketing of third-party products to candidates, without candidate consent. As used herein, the term ""personal information"" is meant to broadly describe information identifying or relating to a specific individual; it is intended to encompass ""personal data,"" ""sensitive personal data,"" and ""personally identifiable information"" and similar terms, as those terms are defined by law in the jurisdictions in which the D. E. Shaw group operates. The D. E. Shaw group may transfer such personal information within and outside the country and jurisdiction of the locations where the D. E. Shaw group maintains offices, to other D. E. Shaw group affiliates, to government and regulatory authorities, and to third parties which provide or may provide support and/or services to the D. E. Shaw group and for the purposes set forth above. The persons who may have access to this personal information are other employees of the D. E. Shaw group, in connection with the performance of their duties of employment, and the other parties listed above, in connection with the business of the D. E. Shaw group. (Of course, candidates will be considered for employment opportunities only in those countries in which they express interest.) The D. E. Shaw group will use reasonable care to maintain the confidentiality of personal information (including appropriate technical measures against unauthorized or unlawful processing and against accidental loss or destruction of, or damage to, such information) and will retain such data as required by applicable law or regulation. Candidates have the right to request access to, and correction of, their personal information in accordance with applicable law; any such request should be submitted to recruiting-inquiries@deshaw.com. Candidates who have submitted a resume to the D. E. Shaw group and do not wish to proceed with their applications should email cvwithdraw@deshaw.com. Personal information of candidates who have been the subject of background checks may have been transferred in accordance with applicable regulations, including without limitation the E.U.-U.S. Privacy Shield; any concerns with such transfers should be submitted to backgroundcheck-inquiries@deshaw.com. The D. E. Shaw group may retain candidates’ information for use in future recruitment exercises; candidates who do not agree to such future use should email recruiting-inquiries@deshaw.com. New York City HQ 1166 Avenue of the Americas New York, NY 10036" Data Scientist I,"Phoenix, AZ 85085 (North Gateway area)",USAA,"Purpose of Job We are currently seeking a talented Data Scientist I for one of the following locations: San Antonio Home Office II/III, Phoenix Campus, Plano, Tampa Campus or Remote. Remote available with up to 20% travel. Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions; Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage; Translates complex analytical and technical concepts to non-technical employees Job Requirements Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization. Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions. Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives. Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation. Works with IT to research architecture for new products, services, and features. Develops algorithms and supporting code such that research efforts are based on the highest quality data. Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions. Minimum Requirements Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field. 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree. 4 or more years of related experience and accountability for complex tasks and/or projects required. Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products required. Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends required. Preferred Experience working with IT to implement predictive solutions. Familiarity with model risk management. At least two years experience in building statistical models. Experience with cloud storage /data products and services. Proficient with Python. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. At USAA our employees enjoy one of the best benefits packages in the business, including a flexible business casual or casual dress environment, comprehensive medical, dental and vision plans, along with wellness and wealth building programs. Additionally, our career path planning and continuing education will assist you with your professional goals. Relocation assistance is available for this position." Associate Data Scientist,"Jacksonville, FL 32256",Advantage Solutions,"At our Company, we grow People, Brands, and Businesses! We are seeking a highly dynamic Associate Data Scientist to design, implement and execute the company’s solutions The Associate Data Scientist works with internal teams to deliver superior results for our clients. S/he is responsible for using data from our available resources to drive the company’s ROI. S/he is conducts ongoing optimization and testing, providing regular reporting and analysis, and suggesting and implementing opportunities for improvement. Take this opportunity to join North America’s leading business solutions provider and build your career working with amazing people in a growing industry! Apply today! What we offer: Full-Time Benefits (Medical, Dental, Vision, Life) 401(k) with company match Training and Career Development Generous Paid Time-Off Responsibilities: o Responsible for designing, implementing, executing, and improving the company’s custom analytical solutions. o Possesses a thorough understanding modelling, including the needs of clients, the methodology by which a model is executed, and how it aligns with the company’s overarching business goals o Creates reports and gathers performance summaries and analysis for further optimization o Creates and articulates compelling value propositions o Communicates insights and successful performance impact to clients and account teams o Interfaces with internal teams to drive innovation, ensuring capabilities meet market needs and customer satisfaction goals o Works with a complex set of variables to understand patterns o Uses experience in statistical analysis to form new conclusions based on multiple data sets Qualifications: Master's Degree in Math, Statistics, Data Science, or related field or equivalent experience required; Ph.D. in Math, Statistics, Data science, or related field or equivalent experience preferred 3-5 Years of experience in Analytics with either a retailer or services provider with retail clients Knowledge of leading marketing analytic tools Experience in Search Engine Marketing, specifically with PPC programs; Experience with Google AdWords, Bing Ads, and Microsoft Office Suite A keen eye for detail. The role requires the ability to keep track of copious amounts of data across numerous accounts in a variety of ways. Following procedures exactly and being methodical is critical Experience with A/B and multivariate testing" Data Scientist,United States,Mars,"A BIT ABOUT OUR DATA SCIENCE & ANALYTICS TEAM Kinship’s Data Science & Analytics team is core to our strategy. We’re using digital, data and customer insights to transform our business by finding answers to problems that we’ve often never asked ourselves before. Our vast data assets are being combined to build a 360° view of Pets and Pet Owners to not only power Kinship’s businesses but also influence the next great ideas in the Petcare space. This role will be key in helping us understand the power of our data, and how this translates into value for our company, Pets, and Pet Owners. Frequently the projects will be ambiguous, but that’s part of the fun; you will determine the best way to leverage our data to tell the right story for any given audience. HOW YOU’LL CREATE A BETTER WORLD FOR PETS Apply data science approaches to understand and predict pet and pet owner behaviors Use machine learning techniques, visualizations, & statistical analysis to gain insight into various data sets – some readily available, and some you create and curate yourself Collaborate with internal and external teams to ensure we focus on pet-centric product and service recommendations Support new pet technology businesses and partners by generating actionable insights from our data assets Develop compelling stories that provide insight into the drivers of business performance and Pet/Pet Owner behavior WHO WE NEED TO CHART THE FUTURE OF PET CARE We strive to hire people who are: Optimistic. Those who’s boundlessly energy and enthusiasm for what’s next shines through in everything they do. We seek to work with people who are intrinsically happy, and who will drive our vision and purpose while managing the complexities of our businesses. Purposefully Inquisitive. Those who are courageous and use their deep business insights to cultivate innovation. We want the trailblazers in tech. Those who are entrepreneurs at heart, ask the tough questions, adapt quickly to new situations, and analyze data in new ways to push our big ideas forward. Open to All. Those who are inclusive leaders, committed to learning, and leveraging our differences as strengths. We hire people who are naturally collaborative and thrive in a flat and flexible organization. Those who are thoughtful communicators, and seek to foster meaningful relationships across our community of diverse partners. And for this role, we hope you have the following skills we require to round out our team: Exceptional written & verbal communication, coupled with critical thinking skills. Truly inspired by, and want to live, our purpose of creating a better world for pets. 1+ years’ experience in a data science role handling varied and complex data Proficiency in machine learning modeling and statistical thinking (random forest, decision trees, supervised and unsupervised modeling, etc.) Hands-on experience with Python is required; Familiarity with PySpark is also desirable Comfortable with ambiguity, with a passion for collaboration to achieve objectives A Bachelor’s degree in quantitative field (economics, statistics, business, computer science) or equivalent experience If you also had these experiences, you’d knock it out of the dog park: Passion for growing and strengthening a business using data driven approaches Familiarity with cloud-based computing services e.g. AWS, Databricks, etc. Enjoys explaining how models and systems work to both non-technical and technical stakeholders." Data Scientist (Pipeline),"Washington, DC 20036 (Downtown area)",Fannie Mae,"Description: THE COMPANY Fannie Mae provides reliable, large-scale access to affordable mortgage credit in communities across our nation. We are the leading source of funding for housing in America, which means more people can buy or rent a home. We are focused on sustaining the housing recovery, improving our company, and leading change to make housing better. We are looking to build our network of interested candidates with a Data Science background and invite you to share your information with us. Let us know if you would be interested in working on a high-performing team and making a difference in making homes more accessible. Fannie Mae has multiple Data Science opportunities available across our Enterprise Data, Modeling and Analytics division. For more information about Fannie Mae, visit http\://www.fanniemae.com/progress **Please note that this invitation is NOT an active opening/posting. Submitting an application constitutes an expression of interest in current or future similar openings at Fannie Mae. A recruiter will review your qualifications and if a position opens that aligns to your skillset, you may be contacted. Data Scientist Job Description\: Fannie Mae is expanding its data science talent to further push the frontiers of modeling and advanced analytics. Are you passionate about advanced analytics algorithms and creating new data science tools and technologies? Do you have creative and innovative approaches to developing new analytics techniques? We’re seeking data scientists who have domain knowledge or an interest in Big Data, machine learning, natural language processing, image processing and an interest to apply it to economic and financial applications. You are looking to innovate the next generation of data analytics solutions with diverse data sets and leading-edge analytics use-cases? If you are ready for an exciting opportunity working hands on with the world’s most advanced data science technologies and thrive in a super dynamic environment where you are being counted on to develop advanced analytics products, this might be the role for you. Qualification: Minimum Qualifications\: Work or educational background in one or more of the following areas\: operations research, computer science, Mathematics, data science, business analytics, or knowledge management. Demonstrated experience programming with R/Python, Linux, and Spark in AWS cloud environment, or knowledge and algorithmic design experience in C#/C++ (3+ years) Demonstrated experience with SQL and relational database technologies, such as Oracle, PostgreSQL, MySQL, RDS, Redshift, Hadoop EMR, Hive, etc. Demonstrated experience processing structured and unstructured data sources, data cleansing, data normalization and prep for analysis Demonstrated experience with machine learning techniques including natural language processing. Demonstrated experience with code repositories and build/deployment pipelines, specifically Jenkins and/or Git. Demonstrated experience using Apache Hadoop and/or Apache Spark stack for big data processing, or comparable distributed computing platforms. Demonstrated experience using data streaming technologies such as Kafka, Rabbit MQ, NiFi, Kinesis or comparable tools Demonstrated experience using Tableau, Kibana, Quicksights or other similar data visualizations tools. Ability to handle terabytes of time-series and cross-sectional data and extract well defined alpha from the underlying relationships Thorough understanding of statistical methods for optimizations (Linear / Non-linear / regressions / Neural Networks / ARIMA / VAR / SSPQN) Very comfortable working with ambiguity (e.g. imperfect data, loosely defined concepts, ideas, or goals) Preferred Qualifications\: MS in Computer Science, Statistics, Math, Engineering, or related field, PhD preferred 3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems 1+ year of experience specifically with deep learning (e.g., CNN, RNN, LSTM) Demonstrated skills with Jupyter Notebook, AWS Sagemaker, or Domino Datalab or comparable environments Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment Knowledge in Python or C++ / C#, and SQL, object oriented programming, service oriented architectures Strong scripting skills with Shell script and SQL Strong coding skills and experience with Python (including SciPy, NumPy, and/or PySpark) and/or Scala. Knowledge and implementation experience with statistical and machine learning models (regression, classification, clustering, graph models, etc.) Hands on experience building models with deep learning frameworks like MXNet, Tensorflow, Keras, Caffe, PyTorch, Theano, or similar Experience search architecture (ex - Solr, ElasticSearch)" Data Scientist,"Boston, MA 02114 (West End area)",Massachusetts General Hospital(MGH),"The MGH Computational Pathology team innovates in the field of clinical genomics, digital pathology, and pathology informatics. We leverage software solutions, integrated data and machine learning to improve the delivery of patient care. We are seeking a highly motivated data scientist to work with our interdisciplinary team of clinicians, scientists, software engineers and bioinformaticians to develop statistical models and machine learning solutions for the analysis of next-generation sequencing, whole slide imaging, proteomics, and clinical data. Our Computational Pathology team works at the intersection of medicine, life science, data science and computational science. We are working closely with the Center for Integrated Diagnostics, the Iafrate Lab and other research groups within the department of pathology on the development of computational methods and tools for understanding and utilizing biomedical data to improve patient care. You would be joining an experienced interdisciplinary team in developing data-driven clinical decision support tools. If you are excited about the opportunity of developing innovative analytics solutions that will have a real impact on patients, we would love to hear from you! The Data Scientist will work collaboratively with research and clinical teams to develop computational methods and tools for processing, analysis and visualization of biomedical data. In conjunction with the Computational Pathology team and under the leadership of the Director of Computational Pathology, the Data Scientist will: Design, implement and test novel computational methods and tools for genetic and phenotypic characterization of cancer using a variety of biomedical data, including genetic sequencing and microscopy imaging data Train and evaluate machine learning models to predict patient outcomes and response to therapy based on genomic and electronic health record data Train and evaluate deep convolutional neural network models to solve complex computer vision tasks, including image classification, image segmentation and object detection Visualize complex, high-dimensional data Develop software tools to facilitate the model development and evaluation process, the integration of models into computational workflow and the interpretation of model predictions Transform, cleanse, preprocess and manage data sets for computational analysis Assist in data annotation and truthing In addition, the Data Scientist will: Engage with clinicians and translational researchers to collaboratively solve clinically relevant problems Present research at scientific conferences and seminars Publish research results in peer-reviewed scientific journals This individual must: Demonstrate intellectual curiosity and desire for continuous learning Stay up to date with developments and innovations in the fast-moving field of machine learning Be dedicated to employment of good software development practices and delivery of high-quality software Qualifications MS degree in Computer Science, Engineering, Applied Math, Bioinformatics, Computational Biology or related field One year of practical data science experience in industry or academia required (may include research as part of master or PhD thesis) Experience in healthcare or life sciences preferred EEO Statement Massachusetts General Hospital is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged. Primary Location: MA-Boston-MGH Main Campus Work Locations: MGH Main Campus 55 Fruit Street Boston 02114 Job: IT/Health IT/Informatics - Other Organization: Massachusetts General Hospital(MGH) Schedule: Full-time Standard Hours: 40 Shift: Day Job Employee Status: Regular Recruiting Department: MGH Pathology/Clinical Labs Job Posting: Feb 11, 2020" Data Scientist - Demand Forecasting,"San Francisco, CA",Stitch Fix,"About the Team We're a team of bright, kind, and goal-oriented individuals who care deeply about achieving great things. We know our individual strengths, but believe that we're strongest together. Our company is transforming the retail experience as we know it -- and we need your big ideas! Our Algorithms Team leverages machines together with expert-human judgment to generate innovative recommendations and insights that revolutionize the way the company functions, and helps our clients look and be their best selves. Within Algorithms, the Forecast and Estimation of Demand (FED) Team informs strategic and operational decisions by providing explicable and consumable forecasts of aggregate client behaviors and order volume. About the Role This role focuses on building and improving time-series models to forecast key business metrics related to client acquisitions, engagement, and retention. You will get the opportunity to collaborate with different teams in Algorithms to amplify the impact of this forecast by integrating tools and systems. In this role, you will leverage your experience and expertise in applied math and statistics to improve our models and advise the work of others on the team. You're excited about this opportunity because you will… Develop and use complex Bayesian and time-series models for prediction and inference. Own end-to-end model development. Work with a collaborative team to build a cutting-edge scalable demand forecasting platform. Leverage your mathematics expertise to ideate new projects and lead yourself and team to developing advancements in model implementation and application Develop a bottoms-up forecasting tool to help gain insight about arbitrary client segments. Act as a thought leader for the team – identify, research, advise, and implement approaches to new and old problems We're excited about you because… You harbor borderline reckless curiosity. You have a Bachelor's degree or higher and 7+ years of combined academic and professional experience in Statistics or applied mathematics You subscribe to standards for software engineering practices, and can work within a shared code base. You have strong coding and design skills, and are proficient in Python and R. You have experience developing mathematical models for real world applications. You are someone who likes a good challenge and is comfortable taking responsibility for high impact work. You communicate effectively and work well with cross-functional partners Bonus points if your experience is with time series modeling! Why You'll Love Working at Stitch Fix We are a group of people who are bright, kind and motivated by challenge. You can be your authentic self here, and are empowered to encourage others to do the same! We are a successful, fast-growing company at the forefront of tech and fashion, redefining retail for the next generation We are a technologically and data-driven business We are committed to our clients and connected through our vision of ""Transforming the way people find what they love"" We love solving problems, thinking creatively and trying new things We believe in autonomy & taking initiative We are challenged, developed and have meaningful impact We take what we do seriously. We don't take ourselves seriously We have a smart, experienced leadership team that wants to do it right & is open to new ideas We offer competitive compensation packages and comprehensive health benefits You will be proud to say that you work for Stitch Fix and will know that the work you do brings joy to our clients every day About Stitch Fix At Stitch Fix, we're about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We're the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience. This novel juxtaposition attracts a highly diverse group of talented people who are both thinkers and doers. All of this results in a simple, powerful offering to our customers and a successful, growing business serving millions of men, women, and kids. We believe we are only scratching the surface on our opportunity, and we're looking for incredible people like you to help us carry on that trend. Please review Stitch Fix's Recruiting Privacy Policy here: https://www.stitchfix.com/privacy/usrecruitingprivacy ( https://www.stitchfix.com/privacy/usrecruitingprivacy )" Data Scientist,"San Francisco, CA",Deliverr Inc,"Large online marketplaces like Amazon have trained consumers to expect products to be delivered in two days at no extra cost. As a result, millions of sellers on other marketplaces are falling behind, unable to cost-effectively deliver products to their customers within two days. Deliverr enables any seller, regardless of size, to delight their customers with fast, cost-effective fulfillment. If you get excited about joining a company on a mission to deliver products anywhere in the world within two days, we're looking for you. What you'll do Forecast spatiotemporal demand and shipping times as a pioneering member of the Deliverr Prediction team Inform and influence key Engineering/Growth/Ops decisions with insights from data Design, build, and maintain analytics to enable Engineering/Growth/Ops to track KPIs Design, build, and maintain large data collection engines What we're looking for Academic background in mathematics, statistics, physics, computer science, or engineering Fluency in Python or similar language Proficiency with SQL Ability to visually express complex information to both technical and non-technical audiences Ability to work, prioritize, and adapt in a rapid-growth startup Knowing the difference between sophisticated and effective Bonus points for:Experience building experimentation platforms Experience working on growth initiatives" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Data Scientist,United States,Mars,"A BIT ABOUT OUR DATA SCIENCE & ANALYTICS TEAM Kinship’s Data Science & Analytics team is core to our strategy. We’re using digital, data and customer insights to transform our business by finding answers to problems that we’ve often never asked ourselves before. Our vast data assets are being combined to build a 360° view of Pets and Pet Owners to not only power Kinship’s businesses but also influence the next great ideas in the Petcare space. This role will be key in helping us understand the power of our data, and how this translates into value for our company, Pets, and Pet Owners. Frequently the projects will be ambiguous, but that’s part of the fun; you will determine the best way to leverage our data to tell the right story for any given audience. HOW YOU’LL CREATE A BETTER WORLD FOR PETS Apply data science approaches to understand and predict pet and pet owner behaviors Use machine learning techniques, visualizations, & statistical analysis to gain insight into various data sets – some readily available, and some you create and curate yourself Collaborate with internal and external teams to ensure we focus on pet-centric product and service recommendations Support new pet technology businesses and partners by generating actionable insights from our data assets Develop compelling stories that provide insight into the drivers of business performance and Pet/Pet Owner behavior WHO WE NEED TO CHART THE FUTURE OF PET CARE We strive to hire people who are: Optimistic. Those who’s boundlessly energy and enthusiasm for what’s next shines through in everything they do. We seek to work with people who are intrinsically happy, and who will drive our vision and purpose while managing the complexities of our businesses. Purposefully Inquisitive. Those who are courageous and use their deep business insights to cultivate innovation. We want the trailblazers in tech. Those who are entrepreneurs at heart, ask the tough questions, adapt quickly to new situations, and analyze data in new ways to push our big ideas forward. Open to All. Those who are inclusive leaders, committed to learning, and leveraging our differences as strengths. We hire people who are naturally collaborative and thrive in a flat and flexible organization. Those who are thoughtful communicators, and seek to foster meaningful relationships across our community of diverse partners. And for this role, we hope you have the following skills we require to round out our team: Exceptional written & verbal communication, coupled with critical thinking skills. Truly inspired by, and want to live, our purpose of creating a better world for pets. 1+ years’ experience in a data science role handling varied and complex data Proficiency in machine learning modeling and statistical thinking (random forest, decision trees, supervised and unsupervised modeling, etc.) Hands-on experience with Python is required; Familiarity with PySpark is also desirable Comfortable with ambiguity, with a passion for collaboration to achieve objectives A Bachelor’s degree in quantitative field (economics, statistics, business, computer science) or equivalent experience If you also had these experiences, you’d knock it out of the dog park: Passion for growing and strengthening a business using data driven approaches Familiarity with cloud-based computing services e.g. AWS, Databricks, etc. Enjoys explaining how models and systems work to both non-technical and technical stakeholders." Data Scientist,"San Jose, CA",eBay Inc.,"Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of. The Product Insights team tackles challenging and critical problems facing eBay’s Product & Engineering teams. These problems require deep analysis and thoughtful insights and can directly impact the operations of eBay’s core businesses. Members of the team have the unique opportunity to influence decision making at the highest levels of the organization. We achieve this by partnering closely with the Product & Engineering teams, and identify opportunities that are accretive to their product roadmaps. You will have access to eBay’s vast data resources, which include some of the largest community-based marketplaces in the world. Very few technology organizations can rival the rich set of transactional and behavioral data that eBay has assembled since its inception. Researchers have used eBay data to not only impact business operations, but also to publish in the top peer-reviewed journals in social science. To be successful in this role: Experience and technical skills/knowledge of NLP is very preferred You must have strong technical skills of Python and SQL. You have strong empirical and analytical background, either demonstrated through coursework or original research You have demonstrated the ability to combine quantitative and qualitative findings in order to frame the right questions and deliver actionable insights You are a lateral thinker, who constructively challenges the obvious answer in order to examine the underlying mechanisms or phenomenon You believe collaboration and effective communication are critical to achieving goals Additionally, the following background and experience is preferred: Recent graduate or currently graduating Masters or PhD of a science (e.g. mathematics, physics, engineering, statistics, data science, ML, etc.) Ability to present complex analyses and insights effectively in simple terms Experience with both descriptive and inferential statistics – ability to build basic prototype models Background in ecommerce product experience either through prior research or work experience Experience with site experimentation (A/B testing), econometrics, or casual inference a plus This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies View our privacy policy View our accessibility info eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talent@ebay.com. We will make every effort to respond to your request for disability assistance as soon as possible. For more information see: EEO is the Law Poster EEO is the Law Poster Supplement" Sr. Data Scientist 8589,"Philadelphia, PA",Comcast,"Business Unit: DUTIES: Duties: Provide technical leadership to team responsible for building and maintaining machine learning solutions that predict customer behavior to enable data-driven analysis and decision-making pertaining to marketing, finance, and strategy; use large volumes of historical data, advanced algorithms, and ensemble learning methods (non-linear regression, decision trees, neural networks, generalized linear modeling, and random forest) to build and maintain predictive models; develop machine learning solutions with probabilistic modeling (including decision trees and generalized linear modeling); conduct programming using SAS, Python, R, H2O, Scala, SQL, and Spark; write complicated multi-layer SQL queries with multiple joins to pull and massage large volumes of data from big data environments, such as Hadoop and Teradata data warehouses, using SQL; develop segmentation/clusters using K-Means and DBSCAN; conduct variable reduction using Principal Component Analysis (PCA); construct forecasts, recommendations and strategic plans by applying data science techniques to business data; utilize online and offline data, structured and unstructured data, and media/behavioral/attitudinal data to build customer-centric models and optimization tools in support of large-scale projects; create deliverables and presentations reporting methodology and findings of analysis; and mentor, train, and provide direction to junior-level data scientists. REQUIREMENTS: Responsibilities: Master’s degree (or foreign equivalent) in Statistics, Information Science or a related quantitative field; and three (3) years of post-Master’s experience massaging large volumes of data from big data environments using SQL; developing machine learning solutions with probabilistic modeling, including decision trees and generalized linear modeling; and programming with at least 2 of the following: SAS, Python, R, H2O, and Scala; of which two (2) years includes developing segmentation/clusters using K-Means and DBSCAN; and conducting variable reduction using Principal Component Analysis (PCA). Comcast is an EOE/Veterans/Disabled/LGBT employer" Data Scientist,"Fort Worth, TX",Ntelicor,"Location: Fort Worth – Dallas, TXWork Week: 40Citizen Requirements: NoneOther Requirements: None Top 3 to 5 skillsets | Years of Experience Machine learning Data science Deployment/ 3 years Requirements Advanced degree (MS or PhD) in a quantitative field including but not limited to statistics, computer science/data mining, operations research, or mathematics Demonstrated aptitude for logical analysis, problem identification, and problem solving Excellent interpersonal and communication skills to present analytics effectively to the leadership, team members and customers 3+ years of experience in computational programming such as R/Python/Scala 3+ years of experience using databases and writing complex queries involving various joins, aggregation functions, sub queries, update/alter tables and creating volatile tables 3+ years of experience with data engineering 3+ years of experience deploying statistical and machine learning techniques and experience with real-world problems Desired Qualifications Familiarity with deep learning , H20, and Tensorflow Building ML models in cloud environment Experience with building and implementing recommender systems Experience with visualization software such as Tableau, PowerBI Knowledge of using the big data environment/parallel processing to scale the model Familiarity with the airline/travel industry" Data Scientist,"Denver, CO",Waystar,"Waystar modernizes the healthcare revenue cycle through innovative, cloud-based technology. We provide the highest-rated client experience to more than 450,000 providers, 22,000 healthcare organizations and 750 health systems and hospitals around the country. Together, our technology, data and client support streamline workflows and improve financials for our clients, so that they can focus on their patients. We are deeply committed to living out our organizational values: honesty; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic and fun. What is the purpose of this position? We are looking for an experienced Data Scientist, who has previously supported Healthcare software applications. The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge. This person will interact with teams from Account Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product line. The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for this position can approach problem-solving challenges independently, has a strong attention to detail, and enjoys working in a fast-paced, collaborative, and team-based environment. Looking for some details? Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design information and user behavior Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically-based features in core products Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, producing quantitative, justifiable results to guide feature planning Translates real-world Healthcare problems to mathematical frameworks Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role Understands, organizes, and communicates root causes of problems and successes succinctly Do you fit our team? Complete familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing Understanding of orders of algorithms and how they scale Demonstrated competency in R/Python predictive modeling Demonstrated competency in RDBMS (e.g. SQL Server) Ability to code in 1+ general purpose programming language (C#, Java, etc.) Must be a quick-learner with the ability to multi-task in a fast-paced environment Outstanding presentation abilities and the ability to communicate with all levels of the Business Comfortable working in newly-forming, ambiguous areas where learning and adaptability are key skills Outstanding communication and interpersonal skills Must possess strong analytical, problem-solving, and writing skills Proficient in Microsoft Office applications Detail-oriented Preferred Skills: Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is preferred An aptitude for medical informatics is preferred In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire." Sr. Data Scientist,"Salt Lake City, UT",Piper Companies,"Description Sr. Data Scientist Piper Companies is seeking a Sr. Data Scientist for a startup company in the Salt Lake City, Utah area. The Sr. Data Scientist will be joining a team building an industry changing product that has had a very successful launch into the market. Responsibilities for the Sr. Data Scientist include: Develop, maintain, and execute advanced statistical and machine learning techniques to solve complex data problems and initiatives Ensure the models and statistical tests are reusable and modular Communicate effectively with technical and non technical audiences Teach and mentor other data scientists on the teamRequirements for the Sr. Data Scientist include: 4+ years of experience in data science, software engineering, analytics, and/or data production Demonstratable expertise building and supporting machine learning models deployed to production Strong experience programming in Python and/or R Experience performing big data modeling work utilizing Spark Geospatial experience Experience with SQL Strong verbal and written communication skills and the ability to work with business stakeholders Bachelor’s Degree in Computer Science, Computer Engineering, Analytics, Math, Physics, Finance, EconomicsCompensation of the Sr. Data Scientist: $120,000 – $150,000 annually with a full comprehensive benefits package No relocation assistance, sponsorship, or C2C arrangements available" Machine Learning Scientist - Computational Chemistry,"Thousand Oaks, CA 91362",Amgen,"Career Category Research Job Description Amgen is dedicated to discovering transformative medicines that address the leading causes of death and disability. Within Amgen’s Research and Development organization, the Computational and Data Sciences (CDS) team s trives to revolutionize the design and discovery of breakthrough differentiating therapeutics. Driven by passion and commitment, the CDS team provides actionable insights from physical and data modeling to accelerate therapeutic discovery. Amgen has an opportunity for data scientists with a background in computational chemistry machine learning to join our CDS team where you will utilize your expertise to develop models and algorithms in collaboration with multidisciplinary teams of computational and experimental scientists. Providing technical leadership and partnering across broad discovery areas of research, you will: Develop and implement groundbreaking machine learning and other data science solutions. Collaborate with computational and experimental scientists to develop and optimize predictive models that directly impact the discovery pipeline. Basic Qualifications Doctorate degree OR Master’s degree and 4 years of Data Science experience OR Bachelor’s degree and 6 years of Data Science experience Preferred Qualifications: PhD in in Computational/Theoretical Chemistry, Applied Math, Computer Sciences or related quantitative field. Strong track record of research accomplishments including three or more scientific publications or conference presentations. A depth of experience in and enthusiasm for applying both traditional and deep machine learning to small molecules, computational chemistry challenges and drug discovery. Experience with molecular representation/featurization, property prediction, molecular generation and virtual screening. Expertise in advanced data science techniques and tools, machine learning, supervised/unsupervised learning and statistical analysis. Experience with UNIX, Python, TensorFlow, PyTorch. Strong communication, project management and technical leadership skills with an enthusiasm for working in an interdisciplinary team environment. Join Us If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of biotechnology with the top minds in the field, you'll find it at Amgen. Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, kidney disease, rheumatoid arthritis and other serious illnesses. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other but compete intensely to win. Together, we live the Amgen values as we continue advancing science to serve patients. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. ." Data Scientist,"San Francisco, CA",Mindstrong,"Who is Mindstrong? Mindstrong is a research-driven, consumer-focused mental healthcare company addressing one of the most pressing personal, societal, and economic problems in the US today. 11.4 million people live with a serious mental illness (SMI) in the US—1 of 22 people—with an annual societal cost of $466B. There's been a 24% increase in SMI diagnoses over the last 10 years, meanwhile +60% of US counties don't have a single psychiatrist. We're reimagining mental healthcare through innovations in measurement science, and care delivery. We're introducing patented, continuous digital measurement into mental health with a fully-integrated clinical team powered by our care platform. These innovations allow for our expert clinicians to intervene at the right time with evidence-based interventions, and to provide personalized support and therapy in a more accessible way. Our product is being integrated into the lives of people with an SMI through active partnerships with several nationwide health insurance payers. We have a top-tier blend of science, technology, and healthcare talent to help us unlock this paradigm-shifting approach, including the National Institute for Mental Health, Stanford Center for Neurobiological Imaging, Uber, Facebook, Google, Apple, Oscar Health, CMS, and more. We have offices in Mountain View and San Francisco—making our commutes something that helps with work-life balance. Our vision and determination to reimagine mental healthcare is backed by industry leading investors like General Catalyst, Bezos Expeditions, Foresite Capital, Optum Ventures, and more. What is the Data Scientist role? We're looking for Data Scientists to join our growing team of people passionate about changing mental healthcare. In this role, you will work cross functionally and partner with engineers, product managers, data analysts, and the clinicians who directly deliver care to our Mindstrong members. You will lead projects that derive value from our extensive amount of data and will work on problems related to predicting and measuring mental health outcomes, optimizing our growth funnel, matching clinicians with patients, increasing the efficiency of clinical services, and making recommendations for impactful interventions. Our team works across the company to help influence decision-making, and your work will have a direct impact on our patient population. What you'll be doing:Become an expert in building healthcare critical machine learning applications that remap brain circuits from human-computer interaction patterns Create highly scalable and adaptive online/streaming learning algorithms that impact the lives of millions of people daily Help our business scale by optimizing our growth funnel and increasing the efficiency of clinical operations Work with a high-performance engineering team to deploy these applications in a highly scalable and distributed infrastructure Improve the quality and availability of care for millions of people around the world Who you are:You feel good about your work knowing that what you do will affect the lives of millions of people around the world Eager to thrive in a startup environment Strong communicator (oral and written) A good person, highly ethical, and accepting of others Your background and skills:A strong developer; technical challenges of all types excite you Interested in contributing your opinions and perspective to solve the challenges that our users face Possess extensive end-to-end project experience using machine learning, deep learning, optimization, or causal inference to solve complex real-world problems. Have a proven track record of delivering impactful results and high quality work on tight schedules Have experience using Python/R for data analysis, modeling, and writing production code PhD (preferred) or MS in statistics, computer science, operations research, economics, mathematics, or related disciplines with an emphasis on both theory and application, OR equivalent experience (Senior) Minimum 5 years of experience developing both statistical and machine learning models with at least 3 years in the industry, i.e. shipping product! (Senior) Can independently scope and solve large and ambiguous business problems with data science techniques Competitive Benefits:Medical, Dental, and Vision coverage 401k 10 paid holidays Unlimited PTO Fully stocked kitchen and catered lunches Casual dress code Telecommuting benefits Join us in our journey to transform the future of brain health! Mindstrong is proud to be an Equal Employment Opportunity employer that celebrates diversity. We are committed to providing equal employment opportunities to all employees and applicants. All individuals seeking employment at Mindstrong are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment. Mindstrong also strives for a safe and robust workplace and prohibits harassment of any kind. If you have a disability or special need that requires accommodation for interviewing, please let us know by emailing us at recruiting@mindstronghealth.com ( recruiting@mindstronghealth.com )." Data Scientist,"San Francisco, CA",Deliverr Inc,"Large online marketplaces like Amazon have trained consumers to expect products to be delivered in two days at no extra cost. As a result, millions of sellers on other marketplaces are falling behind, unable to cost-effectively deliver products to their customers within two days. Deliverr enables any seller, regardless of size, to delight their customers with fast, cost-effective fulfillment. If you get excited about joining a company on a mission to deliver products anywhere in the world within two days, we're looking for you. What you'll do Forecast spatiotemporal demand and shipping times as a pioneering member of the Deliverr Prediction team Inform and influence key Engineering/Growth/Ops decisions with insights from data Design, build, and maintain analytics to enable Engineering/Growth/Ops to track KPIs Design, build, and maintain large data collection engines What we're looking for Academic background in mathematics, statistics, physics, computer science, or engineering Fluency in Python or similar language Proficiency with SQL Ability to visually express complex information to both technical and non-technical audiences Ability to work, prioritize, and adapt in a rapid-growth startup Knowing the difference between sophisticated and effective Bonus points for:Experience building experimentation platforms Experience working on growth initiatives" HR Data Scientist,"Edison, NJ 08837",Hackensack Meridian Health,"Description: The HR Data Scientist will be leading advanced HR analytics projects supporting Hackensack Meridian Health. The HR Data Scientist will wrangle large data sets, conduct complex analyses, and present results using informative visualizations. The HR Data Scientist will leverage statistical analyses and a variety of software and tools (R, Python, Tableau, Visier) to uncover people insights for HR. In addition, the HR Data Scientist will conduct presentations and provide training on HR Analytics and Data Science. Responsibilties: 1. Distill complex data into actionable insights that empower others to drive operational strategic initiatives. 2. Design, build, and extract large and complex data sets, including both structured and unstructured data, while thinking strategically about uses of data and how data use interacts with data design. 3. Deliver intelligence and insights to HR stakeholders within a specified timeframe by applying and demonstrating expertise in the areas of advanced analytics, forecasting, data wrangling, and predictive modeling. 4. Evaluate data quality and provide support to data governance activities. 5. Communicate findings (written, visually, and verbally) to diverse stakeholders and present to senior leadership. 6. Utilize knowledge of programming languages (Python, C, C++, etc.) to help optimize manual processes. 7. Other duties and/or projects as assigned. 8. Adheres to HMH Organizational competencies and standards of behavior. Qualifications:Education, Knowledge, Skills and Abilities Required: 1. Advanced degree (M.S. or Ph.D.) in quantitative fields (statistics, engineering, physics, epidemiology, or STEM) and 3 years' experience in data analytics, advanced statistical analysis, or predicative analytics required; or an equivalent combination of education and/or experience. 2. Strong experience with structured data and relational databases, and familiarity with unstructured data. 3. Extensive experience analyzing HR metrics. 4. Experience with statistical programming software, such as R, SAS, or Stata. 5. Experience with programming languages (Python, C, C++, etc.) 6. Experience with visualization and HR analytics tools (Tableau, Power BI, Visier etc.) 7. Ability to structure analysis with efficiency and repeatability in mind. 8. Ability to investigate, organize, and merge data from different sources into a single data structure. 9. Ability to execute logical data queries from HR, operational, billing, and clinical information systems. 10. Hands on experience with data mining and predictive modeling. Education, Knowledge, Skills and Abilities Preferred: 1. Knowledge or experience in healthcare industry. 2. Experience with PeopleSoft." Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Junior Data Scientist,United States,ANALYTOS,"Junior Data Scientist You will collaborate with the brightest technical minds in building futuristic products, researching groundbreaking concepts, and influencing new ideas to transform retail. If you want to make meaningful contributions and reinvent the retail space that will impact millions of guests, Target is for you. About This Opportunity: Responsible for the development of high performance, distributed computing tasks using Big Data technologies such as Hadoop, NoSQL, text mining and other distributed environment technologies based on the needs of the organization. Designs and drives the creation of new standards and best practices in the use of statistical data modeling, big data and optimization tools. » Deploy data-science and technology based algorithmic solutions to address business needs for our customers » Utilize recommender systems, collaborative filtering techniques, propensity modeling to drive our customer's business prioritiesQualifications: Msc - Statistics / Math or PhD in any streamExperience : 0 to 2 years Requirements » Experience / Strong Knowledge of Regression/Linear Analysis » Familiarity with any of Deep Learning, Distributed RF, Generalized Linear Model,K-Mean and naive Bayes » Familiarity with designing algorithms on Hadoop ecosystem » Experience / Strong Knowledge with recommendation systems » A strong passion for empirical research and for answering hard questions with data » Excellent written and verbal communication skills For applying for these positions email your resume on careers@analytos.com" NLP Research Scientist (Los Angeles),"Los Angeles, CA",DiDi Labs,"NLP Research Scientist – DiDi Labs (Los Angeles) Our team in Los Angeles is currently focused on Natural Language Processing. We are excited about the future of communication, transportation, and artificial intelligence. Smart cars should speak and understand human language, and people should be able to order services and solve their problems by speaking. Furthermore, people who speak different languages should be able to communicate with one another. NLP Research Scientists make key contributions to our overall mission by tackling interesting, challenging, previously-unsolved problems, and by using state-of-the-art methods to solve them. Responsibilities:Define ambitious, relevant AI research problems and criteria for evaluating success. Build state-of-the-art solutions by designing algorithms and carrying out experiments. Work with engineering teams, when appropriate, to get solutions into use. Qualifications:Ph.D. in Computer Science or related field. Publications in top-tier conferences in Natural Language Processing, Machine Learning, Speech Processing, or Statistics. Proficiency in large-scale programming in C++, python, or related systems. Good communication skills. Preferred Qualifications:5+ years experience in professional research on Natural Language Processing or Machine Learning. 5+ years experience with robust, large-scale, parallel computing systems." Data Scientist,"San Francisco, CA 94105 (South Beach area)",Samba TV,"Samba TV is uniquely positioned at the forefront of the TV revolution. The way people discover, watch, and engage with television has fundamentally changed, and we're connecting the dots to help better understand audience trends and viewership habits for marketers. We are changing how industry leaders and consumers think about TV, and we're looking for a Data Scientist who is not afraid to challenge the status quo and would like to make a meaningful impact on our innovative products. Responsibilities ---------------- Data Scientists at Samba TV work closely with Product, Engineering, and other teams on a variety of projects, including but certainly not limited to: Improving our core viewership algorithms and defining metrics to estimate the impact those changes Using statistical methodologies to estimate the effectiveness of our clients' advertising campaigns while controlling for confounding factors Building predictive models that extend our data to all TV watchers, both in the US and abroad Qualifications -------------- You likely, but not necessarily, have an educational background in a quantitative discipline such as statistics, computer science, physics, or econometrics. However, data scientists come from a wide range of backgrounds, so consider applying if you have experience doing the following: Turning vague and ambiguous problems into an actionable sequence of steps Using probability, statistics, predictive modeling, machine learning, or other quantitative methodologies to solve real-world problems Writing understandable and replicable code to work with data Explaining complex concepts to both technical and non-technical audiences Recommending next steps based on your findings" Data Scientist Consultant,"Burbank, CA 91505 (Media area)",Capgemini,"Data Scientist Consultant046496 3+ year of experience as a Data scientist Good understanding and hands on experience with Neo4j How to model data for graphsknows graph analytics Good experience on Python and Pyspark Visualization skills Python Good experience with Databricks is an advantage Willing to travel Candidates should be flexible / willing to work across this delivery landscape which includes and not limited to Agile Applications Development, Support and Deployment. Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. (Includes Data Modeler, Data Miner.) Responsible for importing, cleaning, transforming, validating and modeling data with the purpose of understanding and drawing conclusions from data (may be presented in charts, graphs, and/or tables). Also, design and develop relational databases for collecting and storing data and build and design data input and data collection mechanisms. Required Skills and Experience: You are responsible for data related activities such as data extraction, profiling, cleansing, de-duplication, standardization, conversion, transformation and loading, data mining, warehousing, archiving and reporting. Responsible for all activities required to ensure optimum performance and data integrity of databases in production environments, in line with the requirements. Responsible for providing support of server based databases in development and test environments including database software installation, database creation, performance and capacity design, backup and recovery design, security design, providing Analytical feedback as appropriate.Qualifications: 1-3 years experience, Bachelor’s Degree.Should have progressing skills in Software Engineering Techniques, Software Engineering Architecture, Software Engineering Lifecycle and Data Management.Should have baseline skills in Business Analysis, Business Knowledge, Software Engineering Leadership, Architecture Knowledge and Technical Solution Design. Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Click the following link for more information on your rights as an Applicant : http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law About Capgemini A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50 year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of 200,000 team members in more than 40 countries. The Group reported 2018 global revenues of EUR 13.2 billion. Visit us at www.capgemini.com. People matter, results count. Job Programmer/Analyst Schedule Full-time Primary Location US-CA-Burbank Organization I&D" Junior Data Scientist,"New York, NY",Decode_M,"About Us Decode_M is a new kind of insights and strategy firm. We Decode Data into Momentum™ for individuals, organizations and movements. This means, for each client in our diverse portfolio (think Estee Lauder Companies, Airbnb, WeWork, Brooklyn Brewery, the NHL), we use wide-ranging data sources to diagnose what’s most in the way of our clients’ ambition and then advise them on how to move forward. We’re a tight-knit group that’s sharp, a little quirky and extremely collaborative. And we’re big fans of lunch. Seriously. We love a good lunch. The Opportunity We’re actively looking to recruit a Junior Data Scientist with 1-3 years of experience who, among other things, can support the team in developing scalable data solutions for the team and our client challenges. This position, based in New York City, requires a strong interest in digital, analytics, data science, and quantitative and qualitative research, a natural curiosity, an eagerness to dive into the deep end, and a hunger to learn and grow while having a blast. Expect to learn a lot about cool companies, new products, and the latest in digital, analytics, research and strategy. Who You Are You’ve solved a difficult or time-intensive problem by writing a quick program You’ve used an API to get data into or out of your favorite web app You’ve optimized a SQL query in order to make it run faster You’ve conducted statistical analyses outside of an academic setting You know your way around R, pandas, and numpy You’ve built a web dashboard to automate data analysis and visualization (preferably using Flask) You’ve deployed supervised and unsupervised machine learning models (preferably with Scikit-Learn) If this sounds like you… keep reading. What You'll Do Build Data Tools: Extract data from social media, online reviews, mainstream media sites, search, web traffic, etc. to uncover intelligence around growth opportunities and business challenges. Improve our Statistical Knowledgebase. Advance our capabilities for how statistics and machine learning should be used in analyzing digital trends, CRM data and quantitative research. Develop Custom Viz. Transform data and insights into compelling and creative visualizations. Scale our Data Solutions. Creatively identify opportunities in our process for scalable applications, and collaborating with others to construct these tools. Be a part of the Team. Support the creation of of client materials and other deliverables, and help anticipate what's needed next. Look for bumps in the road and know when to raise your hand for help. Help us grow. Be on alert for new business opportunities, with existing clients and potential ones. Tap into your experience and passions to come up with ideas, or ask thoughtful questions that encourage ideas, to drive our continued growth. Skills/Qualifications You are proficient with Python, R, SQL, and Microsoft Excel; you have experience working with APIs You have experience using applied statistics, and you’re comfortable working with imperfect data You are an autodidact, who loves to figure out solutions to problems by diving deep into Stack Overflow (or your preferred resource) You are curious, inquisitive, proactive, organized, and methodical. You like to use substantiated data to both identify and solve problems, rather than trust your gut alone You have an understanding of qualitative and quantitative research and/or digital analytics You have strong communication and writing skills You have the ability to juggle multiple priorities and pay attention to details when things are moving quickly What You Can Expect From Us We go beyond providing a competitive salary and benefits. We want our people to be successful – in work and in life. From on-the-job learning to formal classes, seminars, and online courses, we’ll invest in you and we’ll help you grow. Promise. We’re an equal opportunity employer. We embrace diversity and are committed to creating an inclusive environment for all our employees. How To Apply Send your resume and a cover letter to jobs@decode-m.com." Data Scientist,"Gahanna, OH",Kognetics,"Job Description: Working closely with the technology and learning teams, theData Scientist will be responsible for the following: Creating infrastructure for thedelivery team; Maintain a working knowledge of data mining and visualizationbest practices; Work in coordination with the team for better and quickresults; Being able to develop or program databases; Having theability to query databases and perform statistical analysis; Analyze the dataavailable and provide the relevant output; Collaborate with engineering colleagues to define the datamodeling goals for designated project areas; Having a good understanding of design and architectureprinciples; Understand the importance of the system development and help ingetting it implemented; Have good time management skills and should be able to meetthe expected deliverables; Being able to create examples, prototypes, demonstrations tohelp management better understand the work; Capacity to motivate and train junior scientists and offercounsel to peers. Being able to work autonomously;Basic Qualifications: Passion, commitment, resourcefulness, and a drive to continuelearning are essential prerequisites. For this role, we’re also looking for someonewho meets the following criteria: PhD/ Master's Degree in Statistics,Mathematics, Computer Science, or equivalent; 5+ years of data science/miningexperience; Excellent knowledge of at least twocoding languages, e.g. Python, Java, Scala, R Language, SQL, ETL Tools, Perland Pig; Should have worked on different toolslike Java, SQL, Python, etc.; Good experience with SQL, Linux shell scripts,Perl, and AWK; Domain knowledge in at least twoindustries; Minimum five years of experience in customer-facing activities; Overall knowledge of BusinessIntelligence; in particular, data modeling, ETL, and reporting tools; Extensive hands-on experience workingwith very large data sets, including statistical analyses, data visualization,data mining, and data cleansing/transformation;" Data Scientist,"Midland, MI",DuPont,"Share On DuPont Nutrition & Health is seeking a Data Scientist to join our team. If you are a curious high-achiever that is interested in leveraging game-changing technologies to solve big challenges in the food industry, turn the world on its head, contribute in creating high-margin, high-impact, health promoting products, then DuPont may be the place for you. You will be responsible for the data exploration, data discovery, data mining, data analytics and solution implementation for big data projects serving the organization. You must have the ability to take data from multiple sources and find answers using the data to solve critical business problems. You must also possess clear communicative skills to work in a highly collaborative and fast-paced global team environment. You must have business acumen, and your responsibilities will include project requirements gathering, using analysis to find trends and predictive characteristics, developing reports and automating reports, data visualization and exploring new analytical tools. Requirements/Profile: Perhaps you have just sold your start-up and are ready for new challenges, or you’re finishing your master or PhD, and have a passion for analyzing manufacturing sites data? You need to have a background in Statistics, Science, Mathematics, Engineering or similar. An independent thinker but still an excellent team player, curious and versatile, and eager to tackle todays and tomorrows challenges using disruptive thinking and cutting-edge technologies. The position offers a diverse range of projects and the opportunity to have a direct impact upon the organization. You must be comfortable working in an agile development environment with high expectations for rapid delivery of prototypes, changing requirements, and direct feedback from our global business customers. Job Qualifications Solid background/BS Degree in Statistics, Science, Mathematics,or Engineering, with an emphasis in statistical modelling (statistical hypothesis testing, regression, classification, optimization) Experience with python frameworks for statistics and deep learning (scikit-learn, statsmodels, pytorch, tensorflow or similar) Preferred Qualifications: Scientific Publications Experimental design Process optimization Advanced statistics and machine learning (Time Series Analysis, clustering, dimension reduction, anomaly detection) Deep learning (Image recognition, NLP, neural networks) Knowledge about deploying Big Data solution (Windows/Linux server, Azure, Google Cloud, AMS, web application, micro service) Knowledge about data engineering (Database, Hadoop, Streaming data and related) Data Visualization (tableau, Dash, D3.js and related) Location: - Manufacturing site in US (Madison, Midland, Cedar Rapids or Newark About DuPont For additional information on our unbridled commitment to deliver essential innovations that enrich people's lives, enable sustainable development and foster human potential for generations to come. Please access the following link to better understand & appreciate DuPont's Journey. Coupled with core values and excellent compensation & benefits... Together, we're turning possibilities into real world answers that help humanity prosper! Apply Now DuPont is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information." Data Scientist,"San Jose, CA",ELT Solutions,"Location: San Jose, CA, Irving, TX Salary: DOE What You’ll Do As a member of this dynamic and fast-paced team, you will perform cross-functional data engineering and analysis in a big data environment. Specific responsibilities include: Collect and organize data requirements and processes Work with data engineers to ensure the availability of accurate and timely data Perform impact assessment and deep-dive analysis in collaboration with stakeholders to ensure data integrity, consistency, usability, and completeness Write SQL for data support for business processes and ETL in Hadoop Identify patterns and trends and communicate them to stakeholders Assess usability of new data sources Apply statistical analysis to quantify impact of business processes. Extract patterns and actionable insights from data. Top Skills Required Demonstrate ability and job history of Predictive Analytics Modeling of Predictive Analytics Statistics Background SQL, HADOOP and SPARK Experience Qualification Bachelor’s degree or equivalent Strong statistical foundation including descriptive analysis and hypothesis testing Creative problem solver – ability to identify and analyze complex patterns Effective communicator with both technical and non-technical audiences. Proficient in SQL and at least one programming (or scripting) language SPARK, HADOOP" Computational Linguist - AI (Natural Language Reasoning),"Irvine, CA",MIND AI,"Would you like to work on a REAL AI? Not just processing but Natural Language Reasoning . We ( http://www.mind.ai ) are a startup, developing new paradigm and we are looking for versatile talent who is interested in changing the world. This is not deep learning but something totally new. We need people with open and creative minds.We need someone who knows what language is, and how it works. And can explain it to human and machine, both. Natural language parsing and generation. Will interface with lexical parsers. Knowledge of ontology and epistemology (as per metaphysics) would help greatly.Specifically, the Computational Linguist will: Provide analysis of natural language sentences to fit into our data model (universal dependencies & penn treebank II tags)Measure and analyze accuracy of lexical parserWork on scaling, contextualization/disambiguation, further development of knowledge representationDevelopment of common sense ontologyIncorporation of existing knowledge bases (SUMO, YAGO, CYC etc)Coordination with software engineers in implementationCollaborate with other Computational Linguists to integrate dataBASIC QUALIFICATIONSBachelor’s or higher degree in a relevant field2+ years experience in computational linguistics (4+ years experience in related fields), language data processing, semantics, or philosophy of languageExperience with language annotation and other forms of data markupExperience working with speech and text language data in multiple languagesFluency in English (second language a plus - Korean, Japanese, Chinese)PREFERRED QUALIFICATIONSExpertise in building ontologies, taxonomies, and semantic relation frameworksExperience programming in Perl, Python, or another scripting languageExperience in using grammars to interpret novel structuresExperience with statistical language modelingExcellent communication, strong organizational skills and very detailed orientedComfortable working in a fast paced, highly collaborative, dynamic work environmentExperience with Universal Dependencies & Penn Treebank II TagsFamiliarity with 3 types of logical reasoning (Deductive, Inductive & Abductive)Job Type: Full-timeSalary: $70,000.00 to $100,000.00 /yearExperience:computational linguist: 2 years (Preferred)Language:English (Preferred)" Data Scientist,"Norfolk, VA 23510 (Downtown area)",The Port of Virginia,"To Apply: Apply via www.portofvirginia.comThe Port of Virginia – Virginia Port Authority is seeking a Data Scientist to join the Strategic Planning and Analytics team under the Innovation Division. The Strategic Planning and Analytics team works to support decision-making at all levels of organization, ensuring that those decisions are timely and fact-based by developing dashboards, reports, and visualizations to inform, drive efficiencies, grow market share, and help shape strategic goals and objectives. The team works with operational managers to help solve business problems and understand the impact of their decisions.The Data Scientist will prepare, organize, and interpret data in a variety of project domains to conduct statistical analysis, or build predictive models to ultimately deliver insight and solve a business need. In addition, identify valuable data sources, automate collection processes, and analyze large amounts of information to discover trends and patterns and present information using data visualization techniques.· Conduct research to answer industry and business questions, leveraging large volumes of data from internal and external sources.· Recommend and implement ways to improve data reliability, efficiency, and quality by working closely with our data warehouse development team.· Provide and apply quality assurance best practices for data mining/analysis services across the organization, focusing on all aspects of the business: operational, financial, commercial, etc.· Collaborate with business partners to continuously look for innovative ways to solve problems, deliver insight, and automate delivery of information related but not limited to service quality, cost efficiencies, revenue growth, and competitiveness. This includes grant submissions and related cost benefit analysis.Find, gather, structure, and analyze data related to the following:Port terminal activity including vessel, rail, barge and truck transactions.Organizational and departmental objectives.Human Resources measurements and metrics.Industry standards and benchmarking.Construction and development projects.Work within Operations Research and Data Systems Domains to:Create models, specifications, diagrams, and charts.Conduct analysis of trends and operational activities.Develop reports and help formulate reporting techniques.Recommend changes to current techniques, procedures, and promotional efforts based on research and new trends.Help research and conduct data discovery across the enterprise.You will be given the ability to:Stay abreast of evolving technology, as well as contemporary business practices and trends.Research new data sources and analytical tools to help visualize key performance indicators.Collaborate in planning, design, development, and deployment of new strategies and applications.Recommend supplemental enhancements to existing applications.Ensure public records and information are managed, maintained and disposed in accordance to the Library of Virginia retention and disposition schedules, and the Virginia Port Authority records management policies and procedures.Ensure compliance with all security, safety and environmental regulations and policies within work area at all times.All other duties as assigned.Minimum QualificationsBS or BA degree in Computer Science, Operations Research, Mathematics, Engineering, or other disciplines with emphasis on Analytics.Experience applying qualitative and statistical methods, conducting independent research projects, and preparing research reports.Experience directly accessing the data.Problem solving and critical thinking ability.Ability to demonstrate innovative solutions to complex problems.Highly developed research, analytical, interpretation, and reporting skills.Strong analytic curiosity, attention to detail, and desire to learn and apply new skills.Ability to communicate effectively both orally and in writing.Experienced with commercial software in the analysis of data, such as Tableau, Birst, PowerBI and advanced SQL proficiency.Ability to program in data processing languages, such as Java, C++, C#, R, Python, Excel with VBA, etc.Experienced in designing and implementing machine learning, data mining, statistics, and algorithms in a professional work environment.Ability to work effectively in a team environment.Excellent verbal and written communication skills.Proficiency in Microsoft Office suite.Preferred QualificationsMS or MA degree in Science, Mathematics, Finance, Economics or other analytical field.Experience in the maritime industry, warehousing, logistics, intermodal, or trucking.Selected applicant must be able to pass a pre-employment background check which may include any of the following: Academic record and verification of education and/or certifications; Employment history (including references); Criminal history; Driving record; Fingerprinting; drug and alcohol testing, Other records or information related to the candidate's suitability for the position. Selected applicant must be able to obtain a TWIC (Transportation Workers Identification Card). Job Type: Full-time" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Scottsdale, AZ 85258 (North Scottsdale area)",Clear Demand,"Clear Demand Company OverviewClear Demand delivers more value faster to retailers by helping them optimize their pricing and merchandising initiatives. This is accomplished through the most accurate science, the easiest to adopt products, leading innovations in machine intelligence, and a partnership model that delivers industry best practices and processes. Customers benefit from a large return on investment (ROI) and greater shopper loyalty. Architected on big data and delivered as a software-as-a-service (SaaS), Clear Demand’s Intelligent Price Management and Optimization (IPMO) solution utilizes machine learning and can be administered from a public or private cloud. See how Clear Demand can support your retail pricing, promotions, and markdown strategies by visiting www.cleardemand.com.Clear Demand offers a competitive salary with stock options and a benefits package, including medical, dental, life insurance, and 401k PlanJob Description – Senior Data ScientistClear Demand has an immediate opening for a Senior Data Scientist located in Scottsdale, Arizona. This is a permanent position with tremendous potential for growth. We are looking to hire a hands-on scientific mind to implement optimization solutions, high performant models, and custom solution building. The candidate must be comfortable with Python, data visualization, algorithms, and testing methodology. We’re looking for a candidate who can implement and iterate solutions on varied problems quickly and effectively. As Senior Data Scientist, you will be a member of Clear Demand’s Science Team. Your work will interface with our Services team as we scale out solutions to more clients. You will develop industry leading measurement, elasticity, and problem-solving solutions in the retail space. This position involves running self-contained projects, collaborating with and supporting other scientists, and quickly and efficiently solving problems in a fast-paced environment. The position may include engagement and development of retail science solutions on an enterprise scale.ActivitiesRetail OptimizationImplement state of the art retail solutionsIdentify and elaborate on improvements to existing algorithms and modelsCreate custom science solutions for unique problemsModeling and RefinementDevelop and implement tools and procedures to improve modeling accuracyBuild visualization and tables exploring opportunity and value providedValidate and improve forecasts, confidence intervals, and learning modelsScience Team GrowthSupport other scientists on varied projectsContribute to the growth and development of the science teamRequired SkillsExcellent problem solving and critical thinking abilitiesKnowledge, experience, or proficiency with:PythonData WranglingModelingForecastingData visualizationConfidence evaluationStrong analytical skills in math and scienceTeam player, self-starter, ability to multi-task and work in a fast-paced environmentQuality written and oral communication skills5+ years experience in data scienceAttention to detailDesired SkillsKnowledge, experience, or proficiency with:Retail pricing, merchandising, and category managementLinux operating systemsGCP KubernetesC / C++Cross-functional software team experience including professional services, science, and developmentTakes initiative to identify and address issues and opportunities, and proactively contributes to the businessDisplays superior business acumen and communications skills to work effectively with corporate leadership teams. Adds value to the organization and ability to liaise effectively between technical and non-technical stakeholdersMasters degree in quantitative field (math, engineering, science, or economics)EducationCollege degree in Engineering, Mathematics, or Science is requiredTo learn more about ClearDemand, visit http://ClearDemand.com.Job Type: Full-timeSalary: $100,000.00 to $130,000.00 /yearExperience:Data Science: 5 years (Required)Python: 3 years (Preferred)Education:Bachelor's (Required)Location:Scottsdale, AZ (Required)Work authorization:United States (Required)Additional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offSchedule:Monday to Friday" ESG Data Scientist,"New York, NY 10007 (Tribeca area)",MSCI Inc.,"Position Overview: MSCI ESG Research is seeking an ESG Data Scientist to join our Models and R&D team. The selected candidate will spearhead R&D and methodology projects that help investors integrate environmental, social, and governance (ESG) risks in their fundamental research, portfolio construction, and risk management capabilities. The role of an ESG Data Scientist touches a diverse range of models that help investors evaluate company ESG risks and sustainable impact. These models may help investors solve some of the following questions: How exposed is my portfolio to severe flooding and other physical climate risks?Which companies are most impacted by talent scarcity and employee engagement?What do patent filings tell us about the effectiveness of company R&D investments?Can text parsed from news articles provide information on a company’s positive sustainable impact? The selected candidate may not have the answer to all these questions, but we are looking for someone who is motivated by the pursuit and can work alongside subject-matter experts to develop solutions. MSCI is committed to developing a culture and employee workforce that reflects the clients and communities in which we operate. We especially encourage members of historically underrepresented groups in our industry to apply, including women, ethnic minorities and those in the LGBTQ community.Responsibilities: Identify and evaluate new data sources (structured and unstructured) that provide unique and proprietary ESG insights on investments and portfolios Develop new ESG models that distill data into actionable insight across asset classes (equity, municipal bonds, private assets, real estate, infrastructure) Apply machine learning, deep learning, natural language processing, parsing tools and other data science techniques to improve the effectiveness of ESG models Conduct back-testing and scenario analysis of proposed methodology enhancements to understand implications on ESG Ratings Use statistical methods and programing to analyze, interpret, and visualize data Develop intelligent automation initiatives that enables analytical predictions, drives innovation and improves productivity Work with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and model and frame innovative solutions Collaborate with other teams such as Data, Analytical Quality Assurance and Application Development to test and advance methodologies Specific Knowledge/Skills: Advanced skills in data science and programing language (e.g. Python) is a must-have; experience in Microsoft Excel or geospatial analysis (e.g. ArcGIS, QGIS) is preferred Strong analytical and quantitative skills with prior experience in the data manipulation and development of quantitative models Ability to overcome data quality challenges with creative solutions, including familiarity of various types of source data (unstructured, semi-structured) with multiple level of granularities (e.g. product, customers, geo-spatial, demographic) Excellent verbal communication skills to facilitate strong relations with a global team of industry research analysts High motivation for joining a dedicated, technically savvy, and enthusiastic team Desired Experience: 2+ years of full-time professional experience in quantitative research or data science role, prior exposure to capital markets is preferred Bachelors' degree required; Advanced degree in related field (Quantitative finance, computer science or engineering, econometrics, mathematics) is preferred Experience with ESG analysis is not a pre-requisite, but candidate should have a demonstrated interest in how ESG issues are integrated into investment decisions We know there are great candidates who won’t fit everything we’ve described above. If that’s you, don’t hesitate to apply to deepika.kumar@msci.com and tell us about yourself. Due to the great number of applications we receive for each of our open vacancies, we are unable to respond on an individual basis. To all recruitment agencies: MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.MSCI Inc. is an equal opportunity employer committed to diversifying its workforce. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected pregnancy/maternity leave), veteran status, or any other characteristic protected by law." Sr Data Analyst,"Los Angeles, CA",OpenX,"Within the Partner Services team of OpenX, we are looking for an enthusiastic individual to perform data analysis, publisher optimization and performance management of our publishers. You have analytical skills, enjoy analyzing data, love disrupting the inefficient, and not be afraid to ""get your hands dirty"". Moreover, you are results-oriented, flexible and eager to acquire new skills and knowledge. This role requires a highly motivated and result-focused individual with solid business understanding. A successful candidate for this role will have a wide range of technical skills and be proficient in turning data discoveries into profitable solutions and measurable improvements. Key Responsibilities Working with account teams on building and enhancing dashboards Pulling and using data to provide insights to Partner Services' teams Writing and editing SQL queries Required Qualifications Basic knowledge of R, SQL, Python (Optional), and MS Excel proficiency Solid statistical analysis skills Excellent communication skills; the ability to convey complex analysis results clearly Passionate about working with data. Organized with an ability to prioritize Result-oriented mindset Ability to work independently and as part of a team A vendetta against calling Excel files 'Dashboards' Desired Characteristics and Skills Experience with Google Analytics or other web analytics solutions Experience in advertising or with a tech company Experience using SQL Basic Understanding of statistics Minimum of 2 years of operational/financial analysis experience Company at a Glance OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens. At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising. OpenX Values Our five company values form a solid bedrock serving to define us as a group and guide the company. Our values remind us that how we do things often matters as much as what we do. We are one One team. No exceptions. We are a group of strong and diverse individuals unified by a clear common purpose. Our customers define us We know our business flourishes or dies because of our customers. OpenX is mine We are all owners of OpenX. We stake our personal and professional reputations on the excellence of our work. We are an open book We are eager to teach and share what we know with others. We evolve fast We take risks and confront failure openly. We recognize and repeat success aggressively. We actively seek out and provide constructive criticism. Defensiveness is for weaklings!" Associate Data Scientist,"Albany, NY 12206 (Campus Area (University District) area)",CDPHP,"For more than 30 years, CDPHP has been providing outstanding health care coverage in the Capital Region of New York and beyond. Based in Albany, NY, the physician-guided not-for-profit offers plans in 24 counties. CDPHP cares deeply about the health and well-being of its members as well as its employees. The company values integrity, diversity, and innovation, and its corporate culture supports those values wholeheartedly. At CDPHP, the employees have a voice and are encouraged to make an impact at both the company and community levels through engagement and volunteer opportunities. CDPHP invests in employees who share these values and invites you to be a part of that experience. CDPHP’s mission includes operating as a model for the delivery, financing, and administration of health care services; and CDPHP has received national recognition for its innovative strategies for implementing payment reform and quality improvement. The Corporate Analytics department is charged with transforming CDPHP’s ability to monitor and measure the impact and value of its initiatives (including the incremental value of each); detect and manage important patterns and trends in near real-time (including identifying the root cause and key drivers of those trends); model and forecast key performance indicators; and efficiently conduct what-if analyses to identify viable opportunities to enhance its mission. The candidate will assist senior team members in designing and implementing data analysis strategies for large claims and clinical data sets using predictive modeling, data mining, econometric, and statistical methods. The candidate will excel, over time, at using data and visualizations to tell insightful stories that will guide decision making around clinical, marketing, contracting, operational, and/or health IT opportunities and partnerships. The Associate Data Scientist will do data transformations and features engineering to extract insights from the data. Successful candidates will have the opportunity to collaborate with talented and dedicated colleagues to make a difference in patient healthcare. QUALIFICATIONS: Associates degree required. 3 years relevant experience may be substituted for degree. 1 year of experience in data modeling, or machine learning is preferred Demonstrated experience synthesizing and analyzing large data and making program recommendations based on that data is preferred Experience and knowledge of health care claims data is preferred Experience working within an healthcare organization is preferred Experience working with pharmacy claims data is preferred Experience with Python and/or R is required. Experience working with Tableau or similar reporting/data visualization tool is desirable Experience with big data technologies like Hadoop, HDFS, Spark, Pig, HBase is preferred Experience working with Amazon’s AWS big data services like EMR, Redshift, EC2 is desirable Knowledge of machine learning and predictive modeling techniques is required Demonstrated ability to manage multiple projects and strong analytical skills Must possess excellent written and verbal communication skills Must be computer literate with strong skills in MS Access, Word, Excel, and PowerPoint Ability to understand and analyze complex business problems and apply cost effective solutions Ability to assume responsibility and maintain confidentiality As an Equal Opportunity / Affirmative Action Employer, CDPHP will not discriminate in its employment practices due to an applicant’s race, color, creed, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, transgender status, age, national origin, marital status, citizenship, physical and mental disability, criminal record, genetic information, predisposition or carrier status, status with respect to receiving public assistance, domestic violence victim status, a disabled, special, recently separated, active duty wartime, campaign badge, Armed Forces service medal veteran, or any other characteristics protected under applicable law." Data Scientist,United States,tiag,"TIAG is seeking a Data Scientist to support a project with California Welfare Digital Services. This opportunity is a remote role with a preference for an employee to be based in the Greater Sacramento area or the Western United States with the ability to travel easily. Responsibilities for the Data Scientist include: Leading and delivering business intelligence initiatives for IT projects Supporting data management functions that include data architecture, data governance and strategy definition and implementation of tools Communicating data warehousing concepts, architectures, and processes to IT project stakeholders is essential Must be technically proficient and possess the ability to execute the following duty functions: Defining domain models to support data requirements, including data extracts, metrics, and reports, that are identified through service redesign activities. Delivering data-intensive applications using modern data architectures and technologies, such as event sourcing, stream processing, big data management, and predictive analytics. Designing and implementing metrics and reports that accurately track and present patterns in longitudinal data spanning more than one (1) year. Cohort-based metrics entry and survival (time-to-event) analysis. Providing data support services for Continuous Quality Improvement (CQI) teams and policy/program evaluators. Building a data science team (or data center of excellence) and integrating data science expertise into product strategy and delivery. Designing and implementing continuous data quality monitoring, including duplicate entity detection and resolution. Working with IT service designers and experience designers to interpret and present predictive risk model (PRM) results in an operational context. Requirements: 5-7 years experience supporting programs in a Data Scientist capacity Demonstrated experience with all of the above stated responsibilities Excellent communication and presentation skills Bachelor's degree required" Data Scientist - Demand Forecasting,"San Francisco, CA",Stitch Fix,"About the Team We're a team of bright, kind, and goal-oriented individuals who care deeply about achieving great things. We know our individual strengths, but believe that we're strongest together. Our company is transforming the retail experience as we know it -- and we need your big ideas! Our Algorithms Team leverages machines together with expert-human judgment to generate innovative recommendations and insights that revolutionize the way the company functions, and helps our clients look and be their best selves. Within Algorithms, the Forecast and Estimation of Demand (FED) Team informs strategic and operational decisions by providing explicable and consumable forecasts of aggregate client behaviors and order volume. About the Role This role focuses on building and improving time-series models to forecast key business metrics related to client acquisitions, engagement, and retention. You will get the opportunity to collaborate with different teams in Algorithms to amplify the impact of this forecast by integrating tools and systems. In this role, you will leverage your experience and expertise in applied math and statistics to improve our models and advise the work of others on the team. You're excited about this opportunity because you will… Develop and use complex Bayesian and time-series models for prediction and inference. Own end-to-end model development. Work with a collaborative team to build a cutting-edge scalable demand forecasting platform. Leverage your mathematics expertise to ideate new projects and lead yourself and team to developing advancements in model implementation and application Develop a bottoms-up forecasting tool to help gain insight about arbitrary client segments. Act as a thought leader for the team – identify, research, advise, and implement approaches to new and old problems We're excited about you because… You harbor borderline reckless curiosity. You have a Bachelor's degree or higher and 7+ years of combined academic and professional experience in Statistics or applied mathematics You subscribe to standards for software engineering practices, and can work within a shared code base. You have strong coding and design skills, and are proficient in Python and R. You have experience developing mathematical models for real world applications. You are someone who likes a good challenge and is comfortable taking responsibility for high impact work. You communicate effectively and work well with cross-functional partners Bonus points if your experience is with time series modeling! Why You'll Love Working at Stitch Fix We are a group of people who are bright, kind and motivated by challenge. You can be your authentic self here, and are empowered to encourage others to do the same! We are a successful, fast-growing company at the forefront of tech and fashion, redefining retail for the next generation We are a technologically and data-driven business We are committed to our clients and connected through our vision of ""Transforming the way people find what they love"" We love solving problems, thinking creatively and trying new things We believe in autonomy & taking initiative We are challenged, developed and have meaningful impact We take what we do seriously. We don't take ourselves seriously We have a smart, experienced leadership team that wants to do it right & is open to new ideas We offer competitive compensation packages and comprehensive health benefits You will be proud to say that you work for Stitch Fix and will know that the work you do brings joy to our clients every day About Stitch Fix At Stitch Fix, we're about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We're the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience. This novel juxtaposition attracts a highly diverse group of talented people who are both thinkers and doers. All of this results in a simple, powerful offering to our customers and a successful, growing business serving millions of men, women, and kids. We believe we are only scratching the surface on our opportunity, and we're looking for incredible people like you to help us carry on that trend. Please review Stitch Fix's Recruiting Privacy Policy here: https://www.stitchfix.com/privacy/usrecruitingprivacy ( https://www.stitchfix.com/privacy/usrecruitingprivacy )" Data Scientist,"Short Hills, NJ 07078",Dun & Bradstreet,"Why We Work at Dun & Bradstreet We are at a transformational moment in our company journey - and we’re so excited about it. Each day, we are finding new ways to strengthen our award-winning culture, and to accelerate creativity, innovation and growth. Our purpose is to help customers improve business performance with Dun & Bradstreet’s Data Cloud and Live Business Identity, and we’re wildly passionate and committed to this purpose. So, if you’re looking to make an immediate impact at a company that welcomes bold and diverse thinking, come join us!The Data Scientist will support Leader of Global Identity Resolution and other leaders on the Chief Data Scientist’s team. Support the Global Identity Resolution leader Lead customer match analyses using best demonstrated practice, present findings to Sales and customer-facing support team Perform ad hoc customer analyses to understand match trends and improve best demonstrated practice Respond to SFDC cases in Steward Our Data portal and identify root cause analysis Identify requirements and collaborate with cross-functional team members to gather more customer meta data in Match Audit logs for reporting Develop BI dashboards and reports for the Identity Resolution team to measure and communicate progress Create/maintain documentation available on Sales Spot Apply regression testing and other statistical methods to uncover new opportunities for process enhancement Support the Chief Data Scientist’s team across multiple innovation initiatives to new develop foundational capabilities Strategy: Working with Senior Data Scientists and independently, drive problem/opportunity formulation around the methods and scientific approach for significant internal and external applications. Discovery: Collaborate with key internal stakeholders to identify unique opportunities to discover and exploit data assets using traditional and non-traditional methods of data synthesis, particularly focusing on new methods and intellectual property. Curation: Work with Data Science team leaders, to derive and apply best practice to analyze the quality and character of data to address key unmet needs, including the design and implementation of empirical research and the creation and refinement of new algorithms and methods. Work with the broader team to drive structure and discipline around the evaluation and positioning of global data assets that serve unmet needs with complex challenges including diverse ontology, data governance requirements, missingness of data, and emerging disruptive competition. Synthesis: Working with Data Science team leaders, design processes to innovate around large, complex and dynamic data sets, including modeling and experiment design. Collaborate globally with key stakeholders and implementation partners on value assessment and use-case evolution. Drive results that matter. Delivery: Contribute to the development of customer-facing material that communicates complex messages around data science in a consumable and compelling way, including data visualization, modeling, and opportunity cost articulation. Contribute to the ongoing creation of intellectual property that advances the enabling capabilities of the organization, especially related to unstructured data, identity, behavior, and sentiment. Requirements: BS required in Data Science, Math, Physics, Computer Science, or related quantitative disciplines. Advanced degree preferred 3-5 years of experience operating successfully in data science roles, especially roles requiring cross-company collaboration and disciplined delivery of initiatives Some background in unstructured data and machine learning strongly preferred Technical Skills Experience with some evolving data science concepts and best practices such as machine learning, neural networks, graph analysis, non-regressive methods, and unstructured data synthesis. Ability to quickly develop an understanding of concepts in emerging data science Experience with data science tools, such as Python, R, SAS, Hadoop, Power BI, Mathematica Skill-based competencies Strong skills in problem formulation and empirical process Adept at using scientific methods to make observations, formulating researchable questions and executing efficiently Selects and defends the best appropriate research methodology, manipulates large datasets, synthesizes and communicates the results effectively Demonstrated understanding of statistical/sampling methods, especially sampling and understanding sources and treatment of bias Ability to overcome ambiguity and get things done Able to be a self-starter and articulate complex analyses in a business context Must thrive in fast-paced environment with ability to multi-task and prioritize multiple projects Excellent oral and written communication/presentation skills, with a track record of successfully presenting to customers or internal stakeholders Strong ability and desire to learn new concepts, framework, techniques and/or tools Dun & Bradstreet is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. We are committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Dun & Bradstreet and need special assistance or an accommodation to use our website or to apply for a position, please send an e-mail with your request to TalentAcquisitionTeam@dnb.com. Determination on requests for reasonable accommodation are made on a case-by-case basis. Please note that all Dun & Bradstreet job postings can be found at https://dnb.wd1.myworkdayjobs.com/Careers and all communication from Dun & Bradstreet will come from an email address ending in @dnb.com." Data Scientist,"San Francisco, CA 94110 (Mission area)",Notion,"Intro Why this job? 1. Work on a product people love that solves real problems: Your friends and family can use Notion to take notes, display photos, collect recipes — while Fortune 500 companies use it to run huge teams (and some non-profits use it to conserve wildlife). 2. Help define what data means at Notion: As the first hire working full-time on data at Notion, you'll have outsized influence on what data infrastructure, data analysis, and data team structure look like as we grow the business. 3. Join us at a magical time: We've hit profitability and product-market fit, which gives us a huge green field to work with. You'd join at the perfect time to shape what we build and how we grow. So, what will you do as a Data Scientist at Notion? You'll build models to predict things like conversion and likelihood of churn. You'll build and maintain KPI dashboards that teams rely on for making key decisions. You'll collaborate with team leads across the business to understand and support their data needs. You'll build and improve our underlying data infrastructure and tooling. (We currently use DBT, Snowflake, Mode Analytics, Fivetran, Census, Amplitude, Segment, and more). You might be a fit for this role if... You've spent meaningful time as a senior data scientist — or even better, you've previously managed a team (there's opportunity to do that here). You have experience building predictive statistical and machine learning models, and you can build reproducible backtests for proposed models to demonstrate their effectiveness. You have experience building out data infrastructure which facilitates speed, reliability, and scalability. You are a SQL expert. You have no problem regularly leveraging window functions, UDFs, self-joins, and other complex SQL functions to accomplish your data analysis goals. You have a bias for using the right tools to get a job done with maximum efficiency. You are an expert at making tradeoffs between speed and accuracy. You have strong product sense and user intuition which inform the questions you ask of the data you are analyzing." Data Scientist/Data Analyst,"Wichita, KS 67212",Net Pay Advance Inc,"DEPARTMENT: Finance & Analytics JOB TITLE: Data Scientist/Data Analyst REPORTS TO: Director of Analytics JOB PURPOSE: The Associate Data Scientist/Data Analyst will provide accurate and timely data support, analysis and maintenance using statistical math and algorithms on a variety of reports, charts, models and projects that have a direct impact on all aspects of Net Pay Advance, Inc. The Associate Data Scientist/Data Analyst works closely with the other Data Scientist regarding efficiency, analysis, quality goals, and market and product trends while supporting cross-functional teams on the day-to-day delivery of projects and initiatives. ESSENTIAL EXPERIENCE, DUTIES & RESPONSIBILITIES Associate Data Scientist/Data Analyst RESPONSIBILITIES Contribute using SQL and R or Python languages to the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Find, clean, and integrate data into usable and helpful information. Identifies and utilizes data analysis and measurements effectively to identify performance trends, shortfalls. Identify campaigns, strategies, and processes that drive highest results. Turn data into insight: segment, cluster, model and mine to better understand behaviors and trends. Analyze why things happened and predict what could happen in the future based on data. Identify gaps in current data systems, drive and contribute to development of systems to bridge gap. Plans and executes ongoing strategies including maximization of technologies and processes. Responding with urgency to high priority requests from senior business leaders. Adhere to professional conduct standards as defined by company guidelines. Take initiative to make things better and provide solutions for challenges. Demonstrate commitment to continued personal and professional improvement. Supports management and advocates in day-to-day operations. Anticipate operational needs based on volume/expansion and make recommendations. Drive change – produce clear, understandable visualizations and reports to share with Senior Management. QUALIFICATIONS BS, MS or PhD in Computer Science, Statistics, Applied Mathematics, or a related field (with 3+ years of experience preferred). In depth knowledge and understanding of underwriting desired. Background in data mining, machine learning, statistical analysis, and modeling. Strong SQL abilities and experience with massive relational database systems. Programming skills in R or Python and experience with related machine learning packages. Proven track record of assisting business decisions with accurate data and analysis. COMPETENCIES Ability to produce significant output with minimal waste of effort. Plans, organizes and schedules time in an efficient, productive manner. Ability to structure and process qualitative or quantitative data and draw insightful conclusions from it. Exhibits a probing mind and achieves penetrating insights. Doesn’t let crucial details slip through the cracks or derail a project. Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship. Ability to communicate well, including the ability to take complex topics and create relatable narratives for different audiences. A decisive individual with excellent organizational skills and the ability to multi-task effectively" Data Scientist Jr.,"College Park, MD 20740",Optimal Solutions Group,"General Description: Assist researchers and software developers on projects bridging the gap between research and analytics by providing data-driven solutions across several policy areas. Work with research and analytics staff in development of streamlined protocols through gathering requirements. Assist team with schema, business rules and configuration testing processes. Support development efforts with standardized protocols to manipulate information captured in a fixed format to usable data, using non-traditional data sources like scraping data from social media, mining data from natural language texts, as well as vectorizing images to create analytical dataset to inform policy decisions. Assist development teams drafting and compiling requirements for complex statistical models, machine learning algorithms and deep learning networks. Assist Data Scientists in developing data products that contain dynamic data visualizations to present findings, data explorers that allow users to explore and analyze the data themselves, as well as publish data. Perform functional testing of data products Maintain data product documentation.Work experience and job skills requirements: Knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, and Decision Forests Familiarity with data management and machine learning toolkits, such as tidyverse and dyplr in R and pandas and scikit learn in Python Experience using data visualization tools PlotLy and Tableau Experience working with query languages such as SQL. Knowledge of statistics and research methods and regression models. Experience developing technical documentation for datasets, code, and data products. Excellent verbal and written communication skills.Education Requirements: BA/BS in Applied Mathematics, Applied Statistics, Operations Research, Economics, Business Analytics or a related field" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Data Scientist Jr.,"College Park, MD 20740",Optimal Solutions Group,"General Description: Assist researchers and software developers on projects bridging the gap between research and analytics by providing data-driven solutions across several policy areas. Work with research and analytics staff in development of streamlined protocols through gathering requirements. Assist team with schema, business rules and configuration testing processes. Support development efforts with standardized protocols to manipulate information captured in a fixed format to usable data, using non-traditional data sources like scraping data from social media, mining data from natural language texts, as well as vectorizing images to create analytical dataset to inform policy decisions. Assist development teams drafting and compiling requirements for complex statistical models, machine learning algorithms and deep learning networks. Assist Data Scientists in developing data products that contain dynamic data visualizations to present findings, data explorers that allow users to explore and analyze the data themselves, as well as publish data. Perform functional testing of data products Maintain data product documentation.Work experience and job skills requirements: Knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, and Decision Forests Familiarity with data management and machine learning toolkits, such as tidyverse and dyplr in R and pandas and scikit learn in Python Experience using data visualization tools PlotLy and Tableau Experience working with query languages such as SQL. Knowledge of statistics and research methods and regression models. Experience developing technical documentation for datasets, code, and data products. Excellent verbal and written communication skills.Education Requirements: BA/BS in Applied Mathematics, Applied Statistics, Operations Research, Economics, Business Analytics or a related field" "Data Scientist, Mid","Oxnard, CA",Booz Allen Hamilton,"The Challenge: Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by machine learning, artificial intelligence advances, and IoT? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection to cancer research, to national intelligence — you know the answers are in the data. We have an opportunity for you to use your analytical skills to improve the DoD and federal agencies. You’ll work closely with your customer to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, use automation, and apply machine learning to turn disparate data points into objective answers to help our nation’s services and leaders make data-driven decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in the DoD and federal agencies. Empower change with us. You Have:2+ years of experience with data science and analyticsExperience with analyzing large data setsExperience with programming and scripting languages, including PythonAbility to effectively communicate results to technical and non-technical audiencesAbility to carry out complex projects in data science and analytics with minimal supervisionAbility to be highly motivated for learningAbility to obtain a security clearanceBA or BS degree Nice If You Have:Experience with designing and implementing custom machine learning algorithmsExperience with graph algorithms and semantic WebExperience with designing and setting up relational databasesExperience with Big Data computing environments, including HadoopExperience with Navy mission systemsMA or MS degree in Mathematics, CS, or a related quantitative field Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Build Your Career: At Booz Allen, we know the power of data science and machine intelligence, and we’re dedicated to helping you grow as a data scientist. When you join Booz Allen, you can expect: access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, Splunk, and other open-source and emerging tools a chance to change the world with the Data Science Bowl—the world’s premier data science for social good competition participation in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government. You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, onsite bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success. We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change." Associate Data Scientist,"Jacksonville, FL 32256",Advantage Solutions,"At our Company, we grow People, Brands, and Businesses! We are seeking a highly dynamic Associate Data Scientist to design, implement and execute the company’s solutions The Associate Data Scientist works with internal teams to deliver superior results for our clients. S/he is responsible for using data from our available resources to drive the company’s ROI. S/he is conducts ongoing optimization and testing, providing regular reporting and analysis, and suggesting and implementing opportunities for improvement. Take this opportunity to join North America’s leading business solutions provider and build your career working with amazing people in a growing industry! Apply today! What we offer: Full-Time Benefits (Medical, Dental, Vision, Life) 401(k) with company match Training and Career Development Generous Paid Time-Off Responsibilities: o Responsible for designing, implementing, executing, and improving the company’s custom analytical solutions. o Possesses a thorough understanding modelling, including the needs of clients, the methodology by which a model is executed, and how it aligns with the company’s overarching business goals o Creates reports and gathers performance summaries and analysis for further optimization o Creates and articulates compelling value propositions o Communicates insights and successful performance impact to clients and account teams o Interfaces with internal teams to drive innovation, ensuring capabilities meet market needs and customer satisfaction goals o Works with a complex set of variables to understand patterns o Uses experience in statistical analysis to form new conclusions based on multiple data sets Qualifications: Master's Degree in Math, Statistics, Data Science, or related field or equivalent experience required; Ph.D. in Math, Statistics, Data science, or related field or equivalent experience preferred 3-5 Years of experience in Analytics with either a retailer or services provider with retail clients Knowledge of leading marketing analytic tools Experience in Search Engine Marketing, specifically with PPC programs; Experience with Google AdWords, Bing Ads, and Microsoft Office Suite A keen eye for detail. The role requires the ability to keep track of copious amounts of data across numerous accounts in a variety of ways. Following procedures exactly and being methodical is critical Experience with A/B and multivariate testing" Data Scientist,"Cambridge, MA 02142 (East Cambridge area)",Panjiva,"------ ------ ---------------------------------------- Solve important and challenging problems ---------------------------------------- We're looking for someone that can help us to solve the data challenges that we know we have, as well as help to identify new opportunities to leverage our data. You'll be working with a variety of teams across the company: engineering, business development, sales, and design to explore exciting and meaningful problems. Strong candidates can leverage a wide array of machine learning and statistical techniques at scale, to address challenges with semi-structured and multilingual international trade data. Responsibilities will include helping us develop the next generation of our product, as well as analysis of our internal metrics to assist the company in making a wide variety of data-driven decisions. Our team uses a range of tools including python, R, Ruby, and SQL to communicate and visualize results. At Panjiva, you'll work on:Fuzzy matching and clustering of data, at scale Natural language processing, robust to messy text and multiple languages Imputation of missing data Network analysis Inference of company structures Anomaly detection Shipment trend prediction and modeling Optimization of search weightings Predictive modeling of customer acquisition and retention ------------ Requirements ------------ B.S, M.S, or Ph.D. in a quantitative field, or equivalent experience Deep statistical knowledge and a broad understanding of analytical and machine-learning techniques Track record of providing valuable insights into large, highly multidimensional datasets Experience with a scripting language, such as Python with NumPy / SciPy or R, and the ability to use it to perform complex analyses of large data sets Basic understanding of relational databases Strong ability to communicate and visualize findings ------------- Nice-to-Haves ------------- Solid understanding of relational databases, including advanced query techniques Background in text analysis / information retrieval algorithms Experience building production software Familiarity with Ruby, Postgres Familiarity with libsvm Experience with C++ or a similar highly performant language Familiarity with large-scale, distributed data processing techniques (Hadoop, Pig, Hive, etc.) Startup experience ------------------ Perks and Benefits ------------------ Competitive salary Build or buy your dream computer Harvard Square office 1 minute walk from the Red Line T stop 15 days vacation (rising to 25 days with longer tenure), 3 floating holidays / personal days, and 10-12 paid holidays annually, with unlimited sick leave Weekly tech talks Health, dental, and vision insurance as well as many other benefits 401(k) plan, with company matching Hacker Continuing Education Wednesdays i.e., craft beer tasting, ping pong lessons Work with a talented, focused, driven team in a growing company with opportunity for advancement and career development ------------ How to apply ------------ To apply, email jobs+datascience at panjiva.com with:Your resume (and, if you have it, your blog, GitHub, etc. handles) A description of an exciting project you've tackled in the past, with, if possible, an example of code from that project A paper you think is exciting, with an explanation of what makes you excited about it About Panjiva ------------- Panjiva's technology creates insight from messy global trade data to provide powerful search, analysis, and visualizations of more than a billion shipping records from nearly every country in the world. More than 3,000 customers in over 100 countries, ranging from Fortune 500 companies and startups to government agencies and hedge funds, rely on our platform for supply chain intelligence. In global trade, better insight means better decision making and stronger connections between companies and governments across the globe. Recognizing Panjiva's cutting-edge technology, S&P Global's Market Intelligence division acquired Panjiva in 2018. This acquisition has grown our resources, dramatically expanded our access to data, and accelerated our growth plans. Join our team as we revolutionize a key and fascinating part of the world economy! NOTE: Panjiva is an EOAA. Panjiva takes affirmative action to employ and advance in employment qualified individuals with disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity or physical or mental disabilities." Data Scientist,"Austin, TX 78731",Indeed,NA Data Scientist (Entry level),"Redmond, WA 98052 (Overlake area)",HCL Americas,"Job SummaryRole Description: HCL America is looking for talented Data Scientist (Entry Level) to join our team in Redmond, Washington. For this particular role, we are looking for BS/MS who have 0-3 years of experience working with R, Python, SQL, etc.Data Scientist must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data based insights. They must be comfortable working with a wide range of stakeholders and functional teams.Qualifications for Data ScientistExperience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.Excellent written and verbal communication skills for coordinating across teams.We’re looking for someone with 1-2 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.Experience querying databases and using statistical computer languages: R, Python, SQL, etc.Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.B.S/ M.S.-Business Analytics,Skills : Data scientistAnalytics Tools: Tableau, Power BI, Azure Machine Learning Studio, RapidMinerLanguages: R, SQLData Mining & Machine learning: Regression, Classification, Clustering, Dimensionality ReductionBusiness Analytics: Stakeholder Analysis & Mapping, Requirement Analysis, Scope ManagementRelevant Coursework: Business Analytics, Analytical Decision Making, Applied Regression Models, Data Mining & Predictive Analytics, Business Process & Workflow Management, Text Mining, Social Media AnalyticsAbout HCL: HCL opened its first US office in 1989 in Sunnyvale, California, with a vision of being part of the growth and advancement of the country’s technology industry. Since that time, HCL has expanded across 21 states to form and a workforce involved in high-end engineering and technology development projects that will shape the future of business.As an IT services provider, HCL provides custom software development, product engineering and consulting services to Fortune 1000 companies in a variety of industries. HCL is a $6.7 billion IT services company with over 111,092 professionals operating across 31 countries and is growing at 14% YOY in revenues. There are around 10,000 employees in the U.S under the HCL America Inc. branch of HCL.· Please follow the link to know more https://www.hcltech.com/geo-presence/united-statesJob Type: Full-timehcl_ersJob Type: Full-timeSalary: $28.00 to $34.00 /hourSchedule::Monday to Friday" Data Scientist - Demand Forecasting,"New York, NY",Amazon.com Services LLC,"Bachelor’s or Master’s degree in a quantitative field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics2+ years of relevant working experience in an analytical role involving data extraction, analysis, statistical modeling, and communication2+ years of experience with data querying languages (e.g. SQL, Hadoop/Hive, Scala) and statistical/mathematical software (e.g. R, Matlab, Stata) Business/Team Introduction The Amazon Demand Forecasting team seeks a Data Scientist with strong analytical and communication skills to join our team. We develop sophisticated algorithms that involve learning from large amounts of data, such as prices, promotions, similar products, and a product’s attributes, in order to forecast the demand of over 190 million products world-wide. These forecasts are used to automatically order more than $200 million worth of inventory weekly, establish labor plans for tens of thousands of employees, and predict the company’s financial performance. The work is complex and important to Amazon. With better forecasts we drive down supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers. Data Scientist Responsibilities In a typical day, you will work closely with talented machine learning scientists, statisticians, software engineers, and business groups. Your work will include cutting edge technologies that enable implementation of sophisticated models on big data. As a successful data scientist in our Demand Forecasting team, you are an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems in Demand Forecasting, through collaboration with engineering, research, and business teams. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future. Major responsibilities include:Translating Demand Forecasting business questions and concerns into specific analytical questions that can be answered with available data using statistical and machine learning methods; working with engineers to produce the required data when it is not availableProviding feedback to our science and engineering teams on the applicability of technical solutions from the business perspectivePresenting critical data in a format that is immediately useful to answer questions about the inputs and outputs of Demand Forecasting systems and improving their performanceCommunicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendationsImproving upon existing Demand Forecasting statistical or machine learning methodologies by developing new data sources, testing model enhancements, running computational experiments, and fine-tuning model parameters for new forecasting modelsSupporting decision making by providing requirements to develop analytic capabilities, platforms, pipelines and metrics then using them to analyze trends and find root causes of forecast inaccuracyFormalizing assumptions about how demand forecasts are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for themUtilizing code (Python, R, Scala, SQL etc.) for analyzing data and building statistical and machine learning models and algorithms Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of dataSuperior verbal and written communication skills with the ability to effectively advocate technical solutions to scientists, engineering teams and business audiencesProven ability to convey rigorous technical concepts and considerations to non-expertsNatural curiosity and desire to learnFluency in a scripting or computing language (e.g. Python, Scala, C++, Java, etc.)Depth and breadth in quantitative knowledge. Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools.Combination of deep technical skills and business savvy to interface with all levels and disciplines within our and our customer’s organizationsDemonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environmentExperience in forecasting and time series is a plus" Data Scientist,"Austin, TX 78759 (North Shoal Creek area)","Signature Science, LLC","Position Purpose: The successful candidate will support projects related to public safety, defense and national security The data scientist will work collaboratively with teams of software, application, and database developers, statisticians, chemists, biologists, engineers, and other domain experts to design and deliver data-informed solutions for our customers, with a focus on enhancing the credibility and defensibility of national and homeland security programs. Essential Duties and Responsibilities: Collaborate with science, engineering, and business development teams to design and build data interpretation solutions, to include machine learning models, novel data visualizations, and analysis tools and algorithms Code and debug programs or applications Develop, document and/or implement application/program testing and validation Design and implement software modules and interfaces among applications or databases Analyze data sets, ranging from sparse datasets to large data and/or unstructured datasets, in order to extract insights, and drive further research opportunities Document, summarize, and present findings to customers, subject matter experts, and other data scientists Required Knowledge, Skills & Abilities: Experience designing and implementing data interpretation approaches to address complex questions, with a preference for experience with scientific questions Experience developing data visualizations to facilitate interpretation and data insights Experience in the use of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and optimization algorithms Experience with supervised and unsupervised machine learning algorithms, and ensemble methods, such as: K-Means, PCA, Regression, Neural Networks, Decision Trees, Gradient Boosting Experience communicating data insights and presenting concepts to technical and non-technical audiences Scientific background (with a focus on chemistry or biology) and/or experience with CBRNE applications preferred Motivated to contribute in a team environment and collaborate across scientific and technical disciplines Able to balance multiple on-going tasks while operating efficiently and with minimal supervision Education/Experience:Bachelor Degree (or higher) in computer science, software engineering, statistics, data science, bioinformatics or related technical field Proficient in at least one programming language, with preference for R, Python, Javascript, C, C#, C++ At least two years, and preferably five+ years, of direct experience with machine learning, data evaluation, computer science, statistical science and/or software engineering. Certificates and Licenses: None required Clearance:Candidate must be able to obtain a Secret level security clearance. Supervisory Responsibilities: N/A Working Conditions/ Equipment: Ability to work in varying conditions to include: traditional office environments with sedentary extended periods required for voluminous data analysis via office automation; The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor." Data Scientist,"New York, NY",DataDog,"About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.The opportunity: You will have a fantastic team of data engineers to support you, a collaborative environment to encourage your work, and the best technologies for performing data science at high scale in your toolkit. You will: Present the latest academic research papers to your team. Research and benchmark the latest algorithms that can be used for our particular use-cases. Apply machine learning algorithms and statistical techniques to build new product features. Deploy a new feature to production, instantly affecting customers with your work. Mentor other data scientists on your team. Explore and find meaning in extremely high volumes of data. Investigate and fix a production issue from a service your team owns. Requirements: You have 2 + years professional experience You are fluent with SQL / relational algebra. You have mastered working with data in a language such as Python, R, or Julia. You’ve done data science at high scale with tools like Hadoop and Spark. You have backend programming experience in one or more languages. You have significant experience applying machine learning to real business problems. You want to work in a fast, high-growth startup environment and thrive on autonomy. You care about code simplicity and performance. You have a BS/MS/PhD in a scientific field or equivalent experience. You can explain complex ideas and algorithms in understandable ways. Bonus points: You’ve written production data pipelines. You’re familiar with time series analysis." Data Scientist,"San Diego, CA",Trimble,"Title: Data Scientist Location: San Diego, CA Department: Trade Service (TBG-MEP) Trimble is hiring a Data Scientist in San Diego, CA with strong interests and capabilities in the implementation and design of analytical data models and reports. Our team is focused on driving a culture of experimentation and bold thinking through rapid build/measure/learn cycles. You will be working and coordinating with colleagues who bring engineering, industry domain, business development, design and analytical thinking skill sets to the table, and are dedicated to taking a customer-centric approach to developing innovation, Our team is focused on supporting the stakeholders of construction projects (architects, interior designers, structural designers and mechanical, electrical & plumbing contractors) who visit our web sites (3D Warehouse, Tekla Warehouse, MEPContent.com, Trade Service and Building Data) to gather information about the products that buildings are made of. Trimble attracts tens of millions of users from around the world who are in need of 2D & 3D CAD files, product pricing information, detailed specifications and a host of other materials that fuel their professional workflows. This content is often published and maintained by building product manufacturers, for whom the distribution of up-to-date product information serves a critical sales and marketing function. Key Responsibilities Present intelligible data and analysis reports to cross-functional stakeholders within the organization. Gather insights about workflows and behavior patterns from qualitative research that will better inform usability data models. Determine user needs by conducting quantitative, task-focused analyses Design and develop relational databases for collecting data Collaborate with UI|UX|UER designers to gather and analyze usability test results to create actionable reports. Skills/Experience Required:Bachelor's Degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering or related field and 6+ years of experience Experience modeling, validating, importing, cleaning or transforming data with the purpose of extracting insights for decision making purposes Thorough understanding of contemporary data gathering, analysis and reporting technologies. Experience designing and maintaining GAnalytics implementations for web & mobile products. Able to apply strong analytical problem solving skills and creativity. Able to prioritize and execute effectively despite uncertainty. Possess a strong work ethic, driven by intrinsic motivators and a strong sense of personal accountability; Is a self-driven professional committed to producing high quality work. Has an avid curiosity and desire to discover the what, how and why. Desired Skills/Experience Experience with: Spark, Mapreduce, Scala, Python, Hive, HBase, Sqoop, Kafka, Oozie, Teradata, MicroStrategy Experience with Graph Database technologies like Neo4J, MongoDB, etc. is a plus Trimble is proud to be an Equal Opportunity and Affirmative Action Employer and considers qualified applicants for employment without regard to race, gender, age, color, religion, national origin, marital status, disability, sexual orientation, status as a covered veteran in accordance with applicable federal, state and local laws, or any other protected factor. EOE/M/F/V/D #engineering" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Scientist,"Washington, DC 20020 (Anacostia area)","T. White Parker Associates, Inc.","T. White Parker is seeking an experienced Data Scientist that will exercise his/her knowledge of descriptive and multivariate statistical techniques and applications, and database analysis tools and techniques to develop strategic insights to drive business goals. The ideal candidate will also strive to advance the state-of-the-art in how analytical approaches are applied to data assets in order to derive insights that will solve the most critical organizational problems. The ideal candidate would also lead and advise data analysts, software engineers, and end users on how to work effectively with vast quantities of data and achieve an intuitive understanding of complex analytical approaches. Primary job duties and responsibilities include, but are not limited to the following:Work with an integrated client team to define metrics, guidelines, and strategies for effective use of algorithms and data Serve as a lead/advisory Data Scientist to identify, design, and build effective analytical solutions for challenging organizational problems Create analytics and machine learning architectures, coding standards, statistical reporting, and data science methodologies Establish links across existing data sources and find new, interesting mash-ups Coordinate data resource requirements between the analytics and engineering teams Work with product managers, engineers, and analytics team members to translate prototypes into production Support expanding prototypes into broader production applications Assist in the development of data management policies and procedures Develop best practices for analytics instrumentation and experimentation Conduct research and make recommendations on big data infrastructure, database technologies, analytics tools, services, protocols, and standards in support of procurement and development efforts Drive the collection of new data and the refinement of existing data sources Develop algorithms and predictive models to solve critical business problems Develop tools and libraries that will help analytics team members more efficiently interface with large amounts of data Analyze large, noisy datasets and identify meaningful patterns that provide actionable results Develop and automate imputation algorithms Create informative visualizations that intuitively communicate insights derived from complex analyses Provide and apply quality assurance best practices for data science services across the organization Develop, implement, and maintain change control and testing processes for model optimization, validation, and monitoring Collaborate with database and disaster recovery administrators to ensure effective protection and integrity of data assets Manage and/or provide guidance to junior members of the analytics team B.S. in Data Science, Analytics, Mathematics, Statistics, Computer Science or related disciplines Four to six years of relevant professional experience Extensive experience solving analytical problems using quantitative approaches Expertise in manipulating and analyzing complex, high-volume, high-dimensionality data from diverse sources Strong proficiency in R and Python Experience with RDBMS and non-relational/distributed databases Experience with both supervised and unsupervised machine learning techniques Experience in relevant software development Strong ability to quickly deduce organizational goals and objectives Strong ability to envision potential analytical solutions that further the achievement of organizational goals and objectives Knowledge of applicable data privacy practices and laws Uncompromising commitment to maximizing the impact of analytical solutions Strong ability to think holistically and to “begin with the end in mind” Creativity, curiosity, and aptitude for deducing analogical conditions and corresponding solutions across disparate fields Intrepid innovativeness in envisioning potential solutions A healthy dose of skepticism regarding the capabilities of Artificial Intelligence Uncompromising commitment to analytical rigor, transparency of analytical solutions, ethical execution of Data Science and Analytics operations Driven to stay informed about the field and relevant developments A flexible analytical approach that can incorporate varied forms of analysis for diverse collections of problems A strong passion for empirical research and for answering hard questions with data Exceptional written and oral communication skills Strong technical documentation skills Exceptional interpersonal skills Highly self-motivated and directed Keen attention to detail Ability to effectively prioritize and execute tasks in a high-pressure environment Strong customer service orientation Experience working in a team-oriented, collaborative environment" Data Scientist,"Chicago, IL",HNI Corporation,"Position at HNI Corporation HNI Corporation, an industry leader in office furniture design and manufacturing is in search of a Data Scientist to join our team in Chicago, IL! As a member of the Decision Science team, the Data Scientist will play a crucial role in building HNI’s data science practice in Chicago. In this new role, you'll tackle cross-functional and high-profile business problems that add value and establish competitive advantages for HNI. As a key hire in a new department you and the team will develop and define the end-to-end data science process that will enable the business to make data-driven decisions using different machine learning techniques, form proof of concept to deploying models in production. If you like the sound of solving business problems, helping to build a new functional area from scratch, implementing new approaches to data and making a major impact at a leading global company HNI might be the place for you. What will you do: Use SQL, R & Python, and other data tools to analyze internal and external data in order to build predictive models and provide insights to business partners. Present highly technical information to business units not versed in such technicalities. Interpret data and analyze results using statistical techniques and provide on-going reports in a timely and professional manner. Develop and implement databases, data collection systems, data analytics, and other strategies that will provide efficient data and reporting solutions. Identify business trends from big data sources to enable faster and better decision making. Who you are: 1+ years of advanced analytic/data science/machine learning experience MS/PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field Proven track record of end-to-end experience in model development, testing, implementation and performance tracking Hands-on knowledge of SQL, R, Python and Spark Familiarity with Linux and AWS/Azure Excellent communication, teamwork and consulting skills. Strong analytical and problem-solving skill set. We look forward to hearing from you! Why HNI Corporation? HNI Corporation (NYSE: HNI), is a $2.3 billion-dollar, global office furniture and hearth product enterprise. Our furniture brands are among the strongest, most widely known in the industry, including HON, Allsteel, Gunlocke, HBF, Maxon, and OFM. The depth and breadth of our brands, the scale and capability of our manufacturing, and the strength of our distribution enables us to provide the best office furniture solutions to meet the needs of every customer. The fourth largest employer in Iowa, HNI Corporation has been ranked by Industry Week magazine as one of the “Top 100 Best Managed Companies in the World”, by Fortune magazine as “The Most Admired Company” in the furniture industry; and named by Chief Executive Magazine as one of the world’s best companies for leadership development. EEO/Male/Female/Veteran/Disabled Our company endeavors to make www.hnicareers.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at 563-272-7400 or via email at hnicareers@hnicorp.com . The Company is an equal opportunity employer and does not discriminate on the basis of and all qualified applicants will receive consideration for employment without regard to race, creed, color, sex, affectional or sexual orientation, gender identity or expression, gender, ethnicity, religion, national origin, ancestry, nationality, age, disability, marital status, veteran status, genetic information, or on any other basis prohibited by law (except where an attribute is a bona fide occupational qualification). The Company does not discriminate on the basis of and all qualified applicants will receive consideration for employment without regard to race, creed, color, sex, affectional or sexual orientation, gender identity or expression, gender, ethnicity, religion, national origin, ancestry, nationality, age, disability, marital status, veteran status, genetic information, or on any other basis prohibited by law (except where an attribute is a bona fide occupational qualification)." Data Scientist,"Las Vegas, NV 89113 (Spring Valley area)",Slickdeals,"THE PURPOSE: Slickdeals is looking for an experienced data scientist with strong business acumen to join our rapidly growing Business Intelligence team. This role will have high visibility within the company, partnering with product, marketing, business development, and engineering teams. You will work with large volumes of social engagement and transaction data from with intent of discovering trends, analyzing patterns, as well as providing ad-hoc exploration to make ambiguous data actionable. Your work will impact new product ideation, marketing and engineering improvements, better our customer experience and impact strategic decisions. THE ROLE:Process, cleanse and verify integrity of collected data Create anomaly detection systems for inbound data Evaluate, create and refine algorithms to optimize site performance metrics Partner with various stake holders to understand and translate business needs into actionable models Use machine learning, natural language processing, and other techniques to help identify new and optimize existing business opportunities Create, help execute, analyze and iterate on multi-variate tests across different mediums Mentor other team members looking to improve their understanding of data science and modeling concepts Champion data collection and accuracy standards across the organization Performs other duties as assigned. THE CANDIDATE:Is a highly motivated, data driven self-starter Is proficient in data extraction using SQL, flat files, document stores, NoSQL, and other repositories Has strong understanding of machine learning techniques and algorithms (decision forests, collaborative filtering, boosting, feature scaling, dimensionality reduction, etc) Able to quickly investigate, learn and master new data sets Is passionate about data and its importance to the success of an organization Can communicate with various levels of stakeholders Thrives in team-based environment elevating all team members with their knowledge and improving own skills by learning from others REQUIRED EXPERIENCE:2+ years of applied data science experience 5+ years of experience in a data related or engineering field Experience with specialized modeling software (R, Python, Stata, SAS, etc) PREFERRED EXPERIENCE:Understanding of Agile development process Experience with web/mobile properties, types and volumes of data they generate Experience with data visualization tools Experience with large data processing systems (Hadoop/Spark, etc) Experience with traditional web analytics platforms (Google Analytics, Adobe Analytics, Heap Analytics, etc) Experience with Cloud vendor solutions, such as AWS Personalize, GCP, Azure or Databricks Work Authorization Candidates must be eligible to work in the United States. Slickdeals is an Equal Opportunity Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender (including pregnancy, childbirth, or related medical conditions), national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other protected status. Slickdeals will consider qualified applicants with criminal histories consistent with the ""Ban the Box"" legislation. We may access publicly available information as part of your application. Slickdeals does not accept unsolicited resumes from agencies and is not responsible for related fees." Data Scientist,"Cambridge, MA",DeepHealth,"DeepHealth is a digital health start-up company based in Cambridge, MA engaged in applying state-of-the-art deep learning techniques to improve medical imaging interpretation. We believe the most exciting problems in machine learning are in healthcare, where the development and translation of novel methods has the potential to save patient lives. As a Data Scientist, you will help us collect and curate various sources of data to be used for research and product development and validation. Qualifications Advanced degree in a field related to data science Strong programming skills in python and libraries such as pandas Experience working with DICOM data or healthcare-related data Knowledge and experience in cloud infrastructure (e.g., Google Cloud, AWS, etc) ‍ Contact Us for More Information We're always looking for talented, motivated individuals to join our team - get in touch! careers@deep.health Contact Us About This Position We're always looking for talented, motivated individuals to join our team - get in touch! careers@deep.health" Data Scientist,"Seattle, WA",Falkon AI,"At Falkon, we are building a new system of intelligence that empowers professionals to define, understand and improve metrics that really matter. We are product, engineering and research veterans from Microsoft, Amazon, Dropbox, Amperity and Zulily. Having lived through years of bad metrics meetings and fire-drills, we've discovered a revolutionary way to combine machine learning and human intuition to empower professionals to define, understand and improve metrics that really matter. We are looking for a results-oriented data scientist who can design, develop and scale Falkon's core data science and statistical foundation and work closely with our machine learning team to build, deploy and maintain models working against massive customer datasets. As an early and critical member of our growing team you will help shape our technology, business, processes and culture. What you will do Combine unsupervised and supervised learning with human expertise to go far beyond today's ""best of breed"" solutions. Experiment and deploy new models and algorithms to identify trends and optimize for signal/noise ratio in metrics data Build high-performance algorithms that can process data streams with billions of points of data every second. Design and implement novel techniques to extract meaning from the relationships inherent in metrics data. Help shape Falkon's culture, and build the workplace of your dreamsWhat you will need to succeed Alignment on Falkon principles - Think big, Deliver results with urgency, Be radically transparent, Follow the golden rule, Get better every day Ability to operate with autonomy in highly ambiguous situations Deep experience in building statistical and machine learning models to detect anomalies and extract trends from metrics data - preferably at high volumes in production. Ability to unblock yourself in terms of data import, data prep, feature engineering and model evaluation Ability to deploy the right tools for the task - i.e. not trying to build an ML model when a well-understood statistical technique would be a better fit. Ability to understand the business problems we're trying to solve with our technology Strong math and statistical skills - PhD in Statistics or Mathematics with solid computer science fundamentals preferred. 75% data science skills and 25% software engineering skillsNice-to-have: Full-lifecycle software engineering experience: from algorithm to model to product Experience working with machine learning engineers deploying models in production at scaleIf you're interested in rapid career growth, there is no better place to be than Falkon. Growth comes from Impact x Learning At Falkon you'll do your best work, develop new skills, learn from the best, discover what technical areas you're truly passionate about and help our customers grow their businesses. You'll also get the opportunity to see how a venture-funded business is built from the ground up." "Sr. Data Scientist, Predictive Analysis - HBO Max","Burbank, CA",HBO Max,"Opportunity Overview HBO Max is the future of entertainment and storytelling. WarnerMedia’s new streaming entertainment offering, HBO Max is the culmination of some of the most innovative new technology and greatest creative talent in the industry. Anchored by the entire HBO service, arguably the greatest brand in television, HBO Max also features fan favorites from the WarnerMedia library including Warner Bros., New Line, DC, CNN, TNT, TBS, truTV, Turner Classic Movies, Cartoon Network, Adult Swim, Crunchyroll, Rooster Teeth, Looney Tunes, and more. HBO Max will also be home to key third-party library acquisitions, such as Friends, South Park and Doctor Who, and more than 50 exclusive Originals in its first year, from the likes of groundbreaking creative talent such as J.J. Abrams, Ridley Scott, Jordan Peele, Steven Soderbergh, Michael Mann, Mindy Kaling, Reese Witherspoon, Anna Kendrick, Greg Berlanti, Melissa McCarthy, Robert Zemeckis, Ellen DeGeneres, and other visionaries. HBO Max launches in May 2020. The Job The Senior Data Scientist will be responsible for leveraging data analytics, visualization and data science to help driving growth and improving retention for our new streaming service HBO Max. You will build data science models, perform advanced analytics and data mining to help business understating HBO Max consumers behaviors, drive improvements to acquisition and retention marketing. The Data Scientist will conceive analytic plans encompassing descriptive and predictive analytics, and unearth the story of the data, to help the company make informed choices that influence content, products, and our relationship with audiences. To achieve these objectives, this individual will mine data and apply machine learning techniques, using languages such as SQL, Python, and R. This role will work cross-functionally with data team, product team and closely with Marketing team.The Daily Apply supervised and unsupervised machine learning techniques, such as linear and logistic regression, decision trees, and k-means clustering. Develop analyses segmentation, propensity models, KPI deep dives, marketing efficiency, behavioral clustering, customer lifetime value and customer journey analytics. Curate audiences and inform engagement tactics to enable differentiated, relevant marketing touches across CRM channels (email, in app, push). Synthesize analytics and statistical approaches into easy-to-consume storylines, both visually and verbally, and provide indicated actions for executive audiences. Capture business requirements for data and analytic solutions and collaborate with the Marketing team to ensure business requirements align with business needs. Analyze content promotions and surface insights that will help drive viewership and a more loyal customer base. Support day-to-day collaboration with Marketing to communicate insights and recommend data informed strategies. The Essentials BA/BS in statistics, mathematics, economics, industrial engineering or other quantitative discipline. 3+ years of experience building data science models (Regression, Decision Trees, K-Means, etc.). Experience with large data sets and analytical tools. Proficiency in scripting languages (SQL, Python, R, etc.). Knowledge of a dashboarding language (Tableau, looker, etc.) or equivalent report building experience not required but a plus Other desired qualifications: - Strong curiosity, leadership and business acumen. Passionate about using data to drive strategy and product recommendations. Experience in subscription-based businesses or eCommerce preferred. Background with CRM preferred. Strong interpersonal skills with the ability to motivate, collaborate and influence. Ability to deliver on multiple projects and meet tight deadlines. A developed creative taste and strong instinct for stories and experiences that will capture consumers. Actively engage in strategic conversations with social insights and community perspectives. Ability to adapt rapidly in a fast-moving environment with shifting priorities and the ability to react quickly, dynamically, and intelligently. Ability to effectively influence and communicate cross-functionally with all levels; exceptional verbal and written communication skills. Strong presentation skills are a must. The Perks Exclusive WarnerMedia events and advance screenings Paid time off every year to volunteer Access to well-being tools, resources, and freebies Access to in-house learning and development resources Part of the WarnerMedia family of powerhouse brands WarnerMedia is a leading media and entertainment company that creates and distributes premium and popular content from a diverse array of talented storytellers and journalists to global audiences through its consumer brands including: HBO, HBO Now, HBO Max, Warner Bros., TNT, TBS, truTV, CNN, DC Entertainment, New Line, Cartoon Network, Adult Swim, Turner Classic Movies and others. Warner Media, LLC and its subsidiaries are equal opportunity employers. Qualified candidates will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law." Data Scientist,"Burlington, VT 05401",Faraday Inc,"About FaradayFaraday helps consumer brands find, convert, engage, and retain more customers using AI. Located in the historic Maltex Building in beautiful Burlington, Vermont, we're a fast-growing venture-backed startup founded in 2012.Our valuesWe believe in privacy and are committed to ending the widespread proliferation of consumer data. We believe in science and the power of statistically significant conclusions. We believe in equality and reject all forms of algorithmic prejudice. We believe in health and fun and encourage a positive work/life balance.Our dedication to diversityWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.About our Data Science teamAt the heart of the Faraday AI platform is a shared machine learning pipeline framework built from the ground up. Our data scientists work with clients and their Faraday account managers to carefully define one or more business goals for deployment on the platform. The pipeline uses these ""outcome"" definitions to perform ETL, training data formation, feature engineering, model building, validation, scoring, and deployment.Your team is also responsible for curating the Faraday Identity Graph from upstream data sources, preparing interpretive analysis for clients, and nurturing Faraday’s quantitative culture.About your roleWe're looking for an expert, curious, relentless, trustworthy data scientist to join us at Faraday. You will pursue a variety of challenges, including:Determining the best predictive approaches to meet clients’ business outcomes.Driving research and development of new algorithms, tools, and methodsCommunicating and providing context to clients.Improving and maintaining Faraday data science productsBeing curious—there’s so much we don’t know in the world of data science, and our only guaranteed driver of innovation is the collaborative work of open minds.You are a methodical, self-motivated individual, capable of keeping your eye on the finish line amidst competing priorities. You have good interpersonal abilities which you will employ regularly, including:Weekly team meetingsTransparent project trackingFollowing security protocols to keep sensitive data safeSupporting account managers with data science expertiseYour credentialsThis position requires one of the following, where a relevant degree is indata science, statistics, natural science, mathematics, computer science, or other related field:Relevant PhD, orRelevant Masters and at least two years experience, orRelevant Bachelors and at least three years experienceYour experienceYou have a foundation in statistical inferenceYou have demonstrated practical applications of data scienceYour technical backgroundYou are comfortable with Python and SQLYou’re familiar with data visualization best practicesYou have experience with classifier algorithms (e.g. decision trees)Location and compensationThis position is based in Burlington, VT, and offers competitive pay and benefits.Job Type: Full-timeWork Location:One locationBenefits:Health insuranceDental insuranceVision insurancePaid time offSchedule:Monday to Friday" Data Scientist,"Austin, TX",Digital Minds technoliges Inc,"Cortex, Python, Mongo, Java, Spring BootJob Type: Full-timeSalary: $90,000.00 to $100,000.00 /yearExperience:Cortex: 4 years (Required)Mongo: 4 years (Required)Spring Boot: 4 years (Preferred)Java: 4 years (Preferred)data scientist: 6 years (Required)Python: 4 years (Required)Additional Compensation:Other formsWork Location:One locationBenefits:Health insuranceDental insuranceOtherSchedule:Monday to FridayBenefit Conditions:Only full-time employees eligible" Data Scientist,"Manhattan, NY",New York City CONSUMER AFFAIRS,"The NYC Department of Consumer Affairs (DCA) protects and enhances the daily economic lives of New Yorkers to create thriving communities. DCA licenses more than 81,000 businesses in more than 50 industries and enforces key consumer protection, licensing, and workplace laws that apply to countless more. By supporting businesses through equitable enforcement and access to resources and, by helping to resolve complaints, DCA protects the marketplace from predatory practices and strives to create a culture of compliance. Through its community outreach and the work of its offices of Financial Empowerment and Labor Policy & Standards, DCA empowers consumers and working families by providing the tools and resources they need to be educated consumers and to achieve financial health and work-life balance. DCA also conducts research and advocates for public policy that furthers its work to support New York City’s communities. For more information about DCA and its work, call 311 or visit DCA at nyc.gov/dca or on its social media sites, Twitter, Facebook, Instagram and YouTube. The Office of Labor Policy and Standards (“OLPS”) is responsible for enforcing the city’s municipal labor laws such as the Earned Safe and Sick Time Act, Fair Workweek Laws, Commuter Benefits Law, and the Freelance Isn’t Free Act. OLPS also works closely with stakeholders on outreach and public education efforts to reach vulnerable workers and conducts research and data analysis to support enforcement and make policy recommendations. The Office’s Division of Paid Care assists workers submit complaints regarding federal, state, and local labor and employment law violations and helps the Office coordinate with other government agencies, worker advocacy groups, as well as community, labor, and employment organizations. OLPS is seeking a Data Scientist to play a key role in the enforcement of groundbreaking new legal protections for workers, especially the Fair Workweek Laws, which prohibit abusive scheduling practices, and the Earned Safe and Sick Time Act, which guarantees the right to paid sick leave. Reporting to the OLPS Research Director, the Data Scientist will work closely with the Office’s investigation and litigation teams to develop and implement strategies for the discovery, collection, and analysis of employer data relating to compliance with city workplace laws. Working on the Office’s most complex cases, the Data Scientist will help collect and use this data to identify violations of NYC workplace laws, assess the validity of claims by employers and workers, calculate employee relief and civil penalties, and guide investigators in the collection of testimonial evidence and other documentation. The Data Scientist will also create systems to automate and standardize data collection and analysis, which may include communicating with employers and workforce management software providers about data structures, developing tools for OLPS staff to use in analyzing employer data, and recommending changes to laws, rules, and agency guidance. The Data Scientist will work closely with the Directors of Investigation and Litigation to refine and implement investigative methods and play a critical role in ensuring working New Yorkers can enjoy the protections they are entitled to under the law. Responsibilities include:Working with investigators and attorneys on enforcement actions requesting data relevant to employers’ compliance with NYC workplace laws;Communicating with employers’ counsel and technical staff to ensure delivery of responsive data, along with all information necessary for its interpretation;Using appropriate data analysis tools to describe employer practices, identify key witnesses, and calculate damages;Developing data analysis tools for use by investigators and attorneys, training investigators and attorneys in their use, and supervising their application;Assessing all aspects of how OLPS uses data in its investigations and litigation and recommending and implementing improvements;Developing close familiarity with the design and use of common business process applications used by employers to track employee schedules, time worked, and payroll; and Recommending changes to laws, rules, and agency guidance to the extent they may relate to any of the functions described above. Assisting with other aspects of the OLPS research team’s work, including analyses of labor market data or the Office’s internal administrative data. Minimum Qual Requirements 1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health. To be appointed to Assignment Level II and above, candidates must have: 1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or 2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or 3. Education and/or experience which is equivalent to ""1"" or ""2"" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in ""2"" above. Two years as a City Research Scientist Level I can be substituted for the experience required in ""1"" and ""2"" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. Preferred Skills Background in data analysis, including experience with statistical packages (e.g., Python, R, Stata) and relational databases (e.g., advanced SQL queries);Familiarity with common business process applications and their associated data structures;Ability to communicate technical concepts and results to non-technical audiences;High level of organization, including ability to ensure findings are reproducible and analytical choices are transparent and well-supported;Experience in handling multiple assignments with competing deadlines with a high degree of detail and accuracy;Strong verbal and written communication skills;Ability to occasionally work flexible hours, including nights and weekends; and Multilingual a plus. To Apply For Non-City/External Candidates: Visit the External Applicant NYC Careers site and type “Consumer Affairs” on the search line. Then locate the Job ID number. For Current City Employees: Visit Employee Self Service (ESS) to view and click on Recruiting Activities, Careers, and search by Job ID number. A RESUME AND COVER LETTER ARE REQUIRED. PLEASE INDICATE IN YOUR COVER LETTER HOW YOU HEARD ABOUT THIS POSITION. INCOMPLETE APPLICATIONS WILL NOT BE CONSIDERED. NO PHONE CALLS, FAXES, E-MAILS OR PERSONAL INQUIRIES PERMITTED. NOTE: ONLY THOSE CANDIDATES UNDER CONSIDERATION WILL BE CONTACTED.Appointments are subject to Office of Management and Budget (OMB) approval.55-a Candidates: NYC Department of Consumer Affairs is committed to recruiting and retaining a diverse and culturally responsive workforce. We strongly encourage 55-A candidates to apply to our positions in order to be given the opportunity. **LOAN FORGIVENESS: The federal government provides student loan forgiveness through its Public Service Loan Forgiveness Program (PSLF) to all qualifying public service employees. Working with DCA qualifies you as a public service employee and you may be able to take advantage of this program while working full-time and meeting the program’s other requirements. Please visit the Public Service Loan Forgiveness Program site to view the eligibility requirements: https://studentaid.ed.gov/sa/repay-loans/forgiveness-cancellation/public-service Residency Requirement New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview." Data Scientist,"Redwood City, CA 94065",Seer,"Seer is building a world-class team of data experts passionate about developing cutting-edge technologies. We are rapidly growing a diverse team that is committed to pushing the limits of data engineering, data science, and software engineering to discover new insights into biology and improve the lives of patients. Do you have the drive and talent to solve challenging questions as a member of a high-performance team? Do you thrive in a fast-paced environment and value a team-oriented company culture? The Role & The Team Reporting to the Sr. Director of Data Science, we are seeking an exceptional Data Scientist to join our Data Science team based in our Redwood City office. This group implements and develops the newest methods for proteomics molecular profiling leveraging Seer’s proprietary technology platform and the latest generation of mass spectrometers. The driving focus of this team, working closely with the mass spectrometry group, is to extract value and insights from large scale datasets produced by Seer-technology. Seer’s new Data Scientist will be empowered to perform exploratory data analysis, data wrangling, statistical analysis, and design machine learning models. The ideal candidate will have a track record of accomplishments in academia or in the life sciences/pharmaceutical/biotechnology industry. The successful candidate is likely to have a background in computer science, bioinformatics, molecular biology, or biochemistry with 3 years experience in life science data engineering. This role requires superior skills in programs including Python or R, as well as a highly collaborative work ethic. Responsibilities & Goals The Data Science group is focused on using AWS and supportive tooling for processing and analyzing our proteomics molecular profiling data. Areas of specific responsibility and attention will include: Perform exploratory data analysis, data wrangling, statistical analysis and design/train/test machine learning models. Use appropriate and succinct visualizations to convey insights to the wider team The analysis, selection & iteration of Seer’s computational proteomic data processing pipeline – maximizing the identification and quantification of the features present in the raw mass spectrometry data Partner with data engineers to ensure all optimizations can scale Carefully curate generated data sets, optimizing for traceability and ease of access Stay current with developments in data science and internally promote new techniques/ideas Interact with company leadership to develop Seer’s data science strategy Work closely with the Mass Spectrometry group as well as interact, collaborate, and support other functional teams within the broader Seer Research, Development, and Clinical framework Background & Qualifications The successful candidate for the position of Data Scientist must have a demonstrated record of accomplishments in academia or the life sciences industry. The ideal candidate will have had significant experience in analyzing proteomic or genomic data. Candidates must bring a strong entrepreneurial orientation along with teamwork skills and an absolute commitment to competing with the highest level of integrity. Key requirements include: Bachelor of Science (or equivalent) in relevant discipline such as computer science, bioinformatics, molecular biology or biochemistry. Further graduate degree preferred. Minimum 3 years’ experience (4+ preferred) in an academic or life-sciences industry laboratory setting (biotech start-up experience preferred) Superior Python or R skills in data analysis, statistics and machine learning. Comfortable in Jupyter/R-studio environments (experience in Domino Data Lab an advantage) Familiarity of relational and non-relational databases. Good working SQL Knowledge of Skyline, OpenMS, MaxQuant and other proteomic computational tools would be a distinct advantage Strong written and oral communication skills, with demonstrated experience in cross-functional and timely communication Strong and collaborative work ethic; must be a self-starter and persistent in achieving objectives to support Seer’s scientific and business goals Must work well in a small team setting, with the ability to work independently and collaboratively, while meeting scheduled deadlines in a fast-paced environment Apply We encourage you to submit your resume below or send to Careers@seer.bio. We look forward to hearing from you! Seer is an equal opportunity employer that values diversity and inclusion. All applicants will be considered for employment without attention to race, color, national origin, religion, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Data Scientist (Marketing Analytics),"Austin, TX 78703 (Downtown area)",Whole Foods Market,"We are looking for an experienced marketing analytics professional responsible for delivering data driven, actionable insights to help optimize maximize marketing performance. This role is responsible for helping internal marketing teams measure and optimize marketing programs and investments across paid, owned and earned media channels to drive customer engagement, brand equity and store profitability. In this capacity, this person will leverage marketing measurement techniques, including media mix models, a/b testing, multi-touch attribution, and synthetic control groups, to quantify the impact of marketing tactics on business and financial outcomes in the short and long term. They will partner with media planners and marketing program managers to deliver analytically derived insights to optimize media efficiency and maximize campaign profitability. Above and beyond strong data and technical skills, the right candidate for this position will have a strong understanding of business and marketing performance. Position is located in Austin, TX. The following duties are essential in successful execution of the position: Track and monitor the performance of Whole Foods marketing campaigns and channels. Build, maintain and evolve marketing attribution models to quantify the effect of marketing communications on customer behavior, sales and profitability across paid, owned and earned channels (e. g., tv, radio, out of home, paid search, display, online video, direct mail, social media, etc.). Prepare quarterly media marketing effectiveness reviews to inform media plans, financial forecasting, and identify areas for efficiency improvements. Work closely with the Media Planning team to solve key marketing measurement challenges and ensure that analyses are relevant and useful to inform marketing strategy. Design data visualizations and presentations to track marketing channel performance and communicate business impact to marketing leadership teams. Explain complex modeling approaches in simple terms; Develop compelling narratives that connect modeling results with marketing problems. Build & maintains strong working relationships across departments or teams based on trust and mutual respect. Communicate with senior stakeholder to balance stakeholder and analytics perspectives. Partner with marketing program and channel managers to ensure that tracking, reporting and analytics are tied to marketing campaign objectives. Work with media agencies and marketing operations teams to ensure that media tracking is in place with high levels of data quality. Nurture strong working relationships across departments and cross-functional stakeholders based on trust and mutual respect. Communicate with senior stakeholders to balance stakeholder vis-à-vis analytics perspectives Desired Skills & Experience Bachelor’s degree in Statistics, Business, Economics, or related quantitative discipline. Advanced degree strongly preferred. 3-5 years professional experience in Analytics, Marketing, Business Analysis. Experience utilizing marketing measurement methods preferred, including a/b testing, multi-touch attribution, and media mix modeling. Strong knowledge of SQL, R, Python, strongly preferred. Scala and Java are a plus. Experience working with large enterprise databases and distributed processing systems (e.g., Hadoop, EMR), with demonstrated ability to independently query and prepare data for analysis. Strong communication skills with the ability to explain complex analytical work to audiences with varying technical knowledge. Working knowledge of marketing operations, ad tech, media planning, and media performance metrics. Experience with advanced analytical techniques, including time series forecasting, clustering, and machine learning (classification and regression). Experience with brick and mortar retail is a plus. Exceptional analytic skills coupled with solid business thinking. Self-directed, innovative thinker. In addition to a strong attention to detail, strong candidates will also be able to see the strategic implications for the business in the big picture. You are fluent in telling the story to both technical and non-technical audiences. Strong candidates will have a curious mind, a passion for synthesizing information from multiple sources, the ability to interpret data through the lens of shopper behavior, and a habit of translating data into insights that drive action. At Whole Foods Market, we provide a fair and equal employment opportunity for all Team Members and candidates regardless of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity/expression, age, marital status, disability, or any other legally protected characteristic. Whole Foods Market hires and promotes individuals solely based on qualifications for the position to be filled and business needs." Data Scientist,"San Diego, CA 92130 (Carmel Valley area)",Realty Income Corporation,"Realty Income, The Monthly Dividend Company®, one of four San Diego based S&P 500 companies dedicated to providing shareholders with dependable monthly income. Our company is structured as a REIT, and its monthly dividends are supported by the cash flow, over 6,000 real estate properties owned under long-term lease agreements with regional and national commercial tenants. To date, our company has declared over 600 consecutive common stock monthly dividends throughout its 50-year operating history and has continually increased the dividend since Realty Income's public listing in 1994 (NYSE: O). Our company attracts individuals who value integrity, perseverance, and teamwork. If you appreciate working on a truly collaborative team in a professional environment in a company that encourages a work-life balance, make sure to apply today! As Realty Income’s Data Scientist, you will ground-breaking leader who works as part of a team that builds and owns analytics-based assets, bringing the value of real estate predictive analytics to our business leaders. You will shape the future of a data-savvy organization, in part by driving processes for data extraction and analysis, and by creating new lines of thinking within our core real estate and investing business. In this role, you will design, develop and execute predictive analytics work streams that serve as the catalyst to increase ROI for the business. Your Contribution to the Team Includes Predictive Analytics Build predictive analytics for use cases such as: Portfolio Management; Development; Acquisitions Work with business teams to identify, develop and deliver new use cases over time Prioritize predictive analytics initiatives based on multiple factors, e.g., ROI/productivity, business continuity, ease of delivery Deliver insights with user friendly end-products such as web-based tools, reports (e.g., Power BI) or visualizations that are accessible and understandable for business users Ensure we remain state of the art by keeping up on the latest technologies and approaches, attending conferences or other events as needed Infrastructure for Predictive Analytics Create the vision for static and dynamic data architecture for predictive analytics encompassing internal data in our ERP system or other data sources as well as externally sourced data (e.g., census information news feeds) Oversee the process for data management leveraging IT and business teams using clearly articulated responsibility matrices and timelines, including meeting internal audit requirements for data/process integrity Coordinate with the IT team to buy or license required tools, data and feeds Work with the IT team as they set up the necessary infrastructure and processes to support predictive analytics, e.g., ETL from the ERP system to data warehouse/lake Determine how and when to take and store “snapshots” of data so that we can go back in time to test new models and approaches Organizational Relationships Work closely with business teams, IT, internal audit and enterprise risk to define end products and processes Create cross-functional working groups or teams as needed to initiate, approve or complete work Update the Investment Committee monthly or quarterly on key matters such as portfolio risk Support business teams in the achievement of their objectives using predictive analytics tools Performs other duties as assigned. What You’ll Need to be Successful Bachelor’s or advanced Degree in a relevant discipline, e.g., machine learning, statistics, applied mathematics, econometrics, or operations research1-3 years of experience providing advanced analytics within a business setting Prior work experience within real estate or financial services is preferred, but not requiredProgramming experience in Python, Spark and SQL. Java/Scala is a plusExperience with RDBMS systems like PostgreSQL and NoSQL systems like MongoDBHands-on experience in Microsoft Azure and Amazon EC2 cloud platformDemonstrated ability to design and implement ETL workflows across both Windows and Linux environmentsAbility to clearly communicate ideas, orally or via written communications To all recruitment agencies: Realty Income does not accept unsolicited agency resumes. Please do not forward resumes to our job’s alias, Realty Income employees, or any company location. Realty Income is not responsible for any fees related to unsolicited resumes." Data Scientist,"Nashville, TN 37203",HCA Healthcare,"Description SHIFT: No Weekends SCHEDULE: Full-time HCA Healthcare is a comprehensive healthcare network where 265,000 people across more than 1,800 care facilities are all committed to creating a positive impact every day. It’s an organization that exists to give people healthier tomorrows. Our scale enables caregivers to deliver great outcomes for patients and gives colleagues unparalleled opportunities to learn and grow. Most importantly, as a part of HCA Healthcare we’re connected to something bigger, which means more resources, more solutions and more possibilities for everyone who walks through our doors. What matters most to our diverse and talented colleagues is giving people the absolute best healthcare possible. Every day, we seek to raise the bar higher, not just for ourselves, but for healthcare everywhere. At HCA, you have options. You can choose from a variety of benefits to create a customizable plan. You have the ability to enroll in several medical coverage plans including vision and dental. You can even select additional al la carte benefits to meet all your needs. Enroll in our Employee Stock Purchase Plan (ESPP), 401k, flex spending accounts for medial and childcare needs, and participate in our tuition reimbursement and student loan repayment programs. Do you have a passion for healthcare and helping others? Do you enjoy working in a fast-paced, patient-centered environment? Jump-start your career in our Human Resources, Analytics department. Submit your application today! We are seeking a Data Scientist II for our Human Resources Group (HRG) to ensure that we continue to provide all patients with high quality, efficient care. We are an amazing team that works hard to support each other and are seeking a phenomenal addition like you who feels patient care is as meaningful as we do. Job Summary: The Data Scientist II develops statistical analyses, machine learning (ML), and natural language processing solutions to support our human resources professionals in order to save lives and support the care of HCA patients. This technically focused position is responsible for understanding challenges/problems within healthcare workforce markets and leveraging data science to deliver real-time predictions and signals which enable our workforce to provide to better care for our patients. Major Responsibilities: The Data Scientist II will work as part of a team to deliver data science products from beginning to end, including understanding the business need, aggregating & exploring data, building & validating predictive and causal models, and deploying completed models to deliver impactful results to the organization. They will also design and implement monitoring of product function and performance. A Data Scientist II conforms to department processes and standards. The Data Scientist II is a highly motivated self-starter, is a continual learner, and is committed to delivering high quality solutions within agreed upon timelines. This table illustrates the relative experience/expertise of the Data Scientists. Machine Learning Development Perform descriptive, exploratory and inferential statistical analysis as well as supervised and unsupervised machine learning. Use front-end tools and interfaces (e.g. notification and alert systems, dashboard reports) for internal clients to view and interact with processed data. Stay on the cutting edge of technology, Data Science, and Machine Learning Engineering. Develop deep expertise in working with people, operational, and financial data. Perform data gathering (SQL, etc.) and data cleaning/wrangling. Develop Machine Learning applications with industry-standard programming languages such as Python and R. Perform feature engineering & modeling with people, operational, and financial data. Produce high quality, modular, reusable code that incorporates coding best practices and serves as an example for less experienced Data Scientists. Design and implement highly scalable applications that take advantage of distributed infrastructure on physical and cloud servers with technologies such as Docker, Kubernetes, OpenShift, and Apache Kafka. Work collaboratively with engineering team to evolve Data Science Integration configuration/customization for different environments. Create and execute test cases (both automated and manual). Possess knowledge and experience with different phases of testing (unit testing, integration testing, performance testing). Participate in various code review activities. Be incorporated in development teams from design to deployment of enterprise services. Mentoring/Consulting Activities Define and help implement processes and standards for Machine Learning tools, code, testing, and product deployment for the HRG Advanced Analytics Team. Train and mentor other Data Scientists with respect to Data Science techniques and tools, mathematical and statistical understanding of Machine Learning, and industry best practices for Data Science development and solutions. Provide feedback on the work of data scientists across different groups at HCA. Data Science Project Delivery and Leadership Engage with stakeholders to define problem and impact of possible Data Science solutions. Influences, persuades, or convinces others to achieve meaningful discussion/results. Possess excellent communication skills to interface with various stakeholders from business consumer to technical staff. Write strategic documents for business leaders. Lead discussion and presentation to senior groups. Maintain authoritative relationships. Work as part of a team and work independently. Form internal/external relationships necessary to be successful. Generate collaboration between teams. Complete assignments on time. Anticipate likely adverse events and problems. Facilitate conversation and solution amongst peers and partners across enterprise. Accurately report issues and status to project management. Lead troubleshooting activities. Performs other duties as assigned. Practices and adheres to the “Code of Conduct” philosophy and “Mission and Value Statement.” Typical work week hours can vary depending on workload and project deliverables. Qualifications Education: Bachelors degree is required. Master's degree/PHD is preferred. 3+ year of experience in most of the following: Technical expertise in the realms of math, statistics, machine learning/deep learning, model fitting and optimization. Extensive experience in statistical modeling and machine learning. Extensive expertise/experience in data analysis, exploration, modeling and visualization required. Business acumen (i.e., ability to set up & frame predictive analytic problems/projects). Unix/command line proficiency. Presentation skills (communicates well with stakeholders). Story telling (explains technical info/project well). Collaboration & teamwork ability. Project management. Healthcare domain knowledge. Has deployed models into production that are being used. Able to evaluate performance of models in production. SQL experience / database interrogation techniques. Expertise with data visualization tools such Tableau, Qlik, and MicroStrategy. Big Data experience (HDFS, Impala, Spark/PySpark, Flume, Kafka). Experience with container-based platforms such as Docker, Kubernetes, OpenShift, Mesosphere, Rancher, and CoreOS. Experience with container monitoring applications such as monitoring solutions such as SysDig, Data Dog, AppDynamics, New Relic, Nagios, and Zabbix. Experience with one or more formal development languages (e.g., Python, R, JavaScript, Ruby, Scala, or Clojure) required. Experience with Hadoop, Spark, Kafka, Cassandra (i.e. distributed compute and storage). Experience in data acquisition, data cleansing and parsing required. Scrum, Agile, Lean Product Development, Domain Driven Design. Excellent communication skills, both written and verbal. Healthcare experience, preferable. We are looking for experts in these areas. If you don’t have experience in some of these, you must be able to work collaboratively on a cross-functional team that builds Data Science signal delivery, data pipeline, and DevOps infrastructure.Adaptability Treats change and new situations as opportunities for learning or growth. Focuses on the beneficial aspects of change and speaks positively about the change to others. Seeks to understand changes in work tasks, situations, and environment as well as the logic or basis for change. Demonstrates the ability to help others adapt to change and to personally adapt to various work environments. Strategic Working Relationships Builds relationships within the department and across multi-disciplinary teams to assist in facilitating discussions regarding data outputs and feedback on usage activities to improve Data Science impact. Adaptability - Expected Level of Competency Ability to network with corporate and field contacts. Frequent inter-departmental contact and presentations. Independently works with customers on a 1:1 basis, as well as in teams. Able to manage multiple assignments simultaneously. Ability & desire to learn and grow. Technical aptitude to learn and adapt to new industry applications and tools. Working Standards Continues to refine development and analytical skills. Applies a consistent development approach to provide creative solutions to problems. Contribute to the design, construction and implementation of software and analytics solutions in the data science engineering environment. Works to build technical knowledge by taking advantage of internal team mentoring and attending professional development opportunities. Freedom to Act / Independent Judgment Works independently with minimal guidance. Work is evaluated to ensure objectives are met. Exercises judgement in selecting and adapting methods and techniques for obtaining solutions. Follows standard practices and procedures. Working Environment In office working environment. Some travel, up to 25% may be required. If you are looking for an opportunity that provides satisfaction and personal growth, we encourage you to apply. We promptly review all applications. If you are highly qualified you will hear from one of our managers. Come unlock the possibilities and apply today! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Notice Our Company’s recruiters are here to help unlock the next possibility within your career and we take your candidate experience very seriously. During the recruitment process, no recruiter or employee will request financial or personal information (Social Security Number, credit card or bank information, etc.) from you via email. The recruiters will not email you from a public webmail client like Gmail or Yahoo Mail. If you feel suspicious of a job posting or job-related email, let us know by clicking here. For questions about your job application or this site please contact HCAhrAnswers at 1-844-422-5627 option 1." Developer III - Data Science,"Rancho Cucamonga, CA 91730",Inland Empire Health Plans,"POSITION PURPOSE : Under the direction of the Data Science Systems Manager, the Data Science Developer is responsible for creating, maintaining and updating IEHP enterprise reports and dashboard. The position also serves as the technical support for all reporting projects within the Data Science Systems department. The duty will include designing and implementing effective reporting solutions by utilizing a variety of data gathering methods, including interviews, surveys, brainstorming sessions, storyboarding, prototyping, and use cases. A level III developer is expected to mentor other members of the team on data quality, data completeness, data accuracy, and deliverable timeliness are built into every reporting solution. MAJOR RESPONSIBILITIES : Drive the model and support of enterprise data warehouse, data marts and cubes in the creation of a modern, highly effective enterprise reporting platform at IEHP following industry best practices and patterns. Responsible for technical development and implementation of reporting and analytical solutions for IEHP business stakeholders that provide critical insight into business performance. Collaborate with other IEHP departments and data stewards to assess and prioritize needs, and assist with developing strategies, plans, policies and procedures related to providing effective reporting solutions. Design and implement effective reporting solutions by utilizing a variety of data gathering methods, including interviews, surveys, brainstorming sessions, storyboarding, prototyping, and use cases. Mentor other members of the team on data quality, data completeness, data accuracy, and deliverable timeliness are built into every reporting solution. Lead and drive reporting prototype reviews. Manage and prioritize user reporting requirements to help manage overall project scope. Discover, explore, analyze and document data from all source and target systems to better understand the total scope of data availability at IEHP. Model the essential IEHP business functions and the data needed to support those functions, utilizing use cases, flow charts, activity diagrams, etc. Identify, analyze and interpret trends or patterns in complex data sets, draw meaningful business insight and translate them to a self-service report. Identify and communicate issues and risks to management in a timely manner. Contribute towards reporting security requirements, architecture, design and implementation, including the definition of comprehensive security controls to enforce the IEHP security strategy. Contribute to development and enforcement of IEHP reporting standards. Gathers, selects, compiles and analyzes health plan data, with emphasis on data maintained with data warehouse. Establish and maintain effective working relationships with others throughout the IEHP organization. Provide ongoing proactive technical support for data science and reporting systems to ensure business continuity, analytic accessibility and reporting accuracy. Demonstrate a commitment to support IEHP’s strategic priorities to become a 5-Star Health Plan and incorporate LEAN principles into daily work. Any other duties as required to ensure Health Plan operations are successful. Ensure the privacy and security of PHI (Protected Health Information) as outlined in IEHP's policies and procedures relating to HIPAA compliance. MINIMUM QUALIFICATIONS: Bachelor's degree required, Master's degree preferred. Six (6) or more years in analytics, data science and business intelligence. Experience in developing reporting using Business Intelligence tools (such as Tableau, Microsoft Power BI, MicroStrategy). Experience in report writing and analysis, including experience working with large data sets that have complex relational designs and with unstructured data sets. Experience in database design, query development, table joins and report development and creation. Data analysis experience in the areas of medical or health services is preferred. KNOWLEDGE/SKILLS REQUIRED: Strong data analysis, data presentation, spreadsheet, and database capabilities. Strong expertise in the Microsoft platform for business intelligence and reporting: Microsoft SQL Server, SSAS, Power BI, SSRS, Access and Excel. Knowledge of data visualization and Business Intelligence tools is required (such as Tableau, Microsoft Power BI, MicroStrategy). Strong analysis and critical thinking skills with the ability to multi-task while maintaining careful attention-to-detail. Ability to handle multiple projects, data input, strong problem solving capability, excellent interpersonal/ communication skills. Independent self-starter who is driven to success, takes great pride in accomplishments and works with a sense of urgency to meet deadlines and address competing priorities. Working knowledge of diagnosis and procedure coding, medical terminology, knowledge of managed care, claims payment processes, and insurance terminology required. Pay Range : $98,612.80 - $125,777.60 Inland Empire Health Plan (IEHP) is the largest not-for-profit Medi-Cal and Medicare health plan in the Inland Empire. We are also one of the largest employers in the region. With a provider network of more than 6,000 and a team of more than 1,700 employees, IEHP provides quality, accessible healthcare services to more than 1.2 million members. And our mission and core values help guide us in the development of innovative programs and the creation of an award winning workplace. As the healthcare landscape is transformed, we’re ready to make a difference today and in the years to come. Join our Team and Make a Difference with us!" Data Scientist Consultant,"Chicago, IL 60601 (The Loop area)",Kemper,"Location(s) Chicago IL Details Data Scientist Consultant Responsibilities Work as part of a team to build predictive models designed to support the Kemper organization in areas such as risk selection, customer segmentation and lifetime value, insurance pricing, operational efficiency and fraud detection. Develop and automate predictive modeling processes that can be deployed through the organization to solve reoccurring analytics needs (ex: state specific implementations). Contribute to the improvement of internal modeling capabilities and data infrastructure by suggesting and applying tweaks to existing processes. Serve as project coordinator for work streams that employ 1 other analyst to solve specific business problems. Provide guidance and feedback to managers on analyst performance as needed. Skills Modeling software: Python and R - strong skills with one and some familiarity with the other. Knowledge of the Spark ecosystem preferred. Solid coding skills and proficient with at least one programming language (C++, Java, Python, Scala etc.) Ability to work with various data formats – from delimited text files to ODBC connections, data frames and relational databases. Proficiency and experience with several modeling techniques such as generalized linear models, decision trees, ensemble learning, regularized models (ridge/lasso/nets), clustering or neural networks. Excellent overall communication skills, particularly possessing the ability to translate technical results for wide audiences. Experience Graduate degree in a quantitative field required: Mathematics, Statistics, CS, Physics, MIS, Economics, etc. 5+ years’ experience in a data science/ predictive analytics environment preferred. -ZR -GD -IN -PT" Data Scientist Forecasting,"Atlanta, GA",OMP,"Your Challenge In supply chain planning, it is important to be able to forecast product demand. Accurate forecasts ensure optimized plans, which reduce the time and cost to get your products to your customers and deliver insights on sales opportunities. At OMP we are looking for Data Scientists to help our customers reach their strategic goals by delivering data analytics and insights via advisory services. Our new Data Scientists will also help us to improve the OMP planning solution through research and development. Are you ready to join the exciting world of forecasting and supply chain planning? Are you passionate about finding patterns in data? Then apply for the position of Data Scientist and join our product development team. As a Data Scientist - Forecasting, you have only one aim: to provide innovative solutions for our customers’ challenging analytics and forecasting needs. This includes: Performing data cleansing, data wrangling and statistical analysis of time series data provided by OMP’s customers. Creating and finetuning statistical models, generating forecasts and providing insight into the statistical forecastability of the data set. Visualizing your findings and presenting them to our customers in a way that a non-technical audience can understand. Staying abreast of academic research on time series forecasting and machine learning, by reading journals, attending conferences, etc., and sharing your knowledge with your coworkers. Conducting your own research and prototyping of forecasting algorithms in-line with OMP’s product vision and road map and in cooperation with other data scientists and product analysts. Contributing to the continuous improvement of the statistical forecasting functionality by understanding its current capabilities and translating the findings obtained from your research and prototypes into functional requirements that can be passed to the software development team. Validating newly developed functionalities with different stakeholders. As well as your advisory and R&D activities, you’ll act as an expert for the OMP consultant teams by providing input on how to set up, configure and maintain their customers’ statistical forecasting functionality. Your Profile It is essential that you have: A master’s degree in statistics or another quantitative discipline with a strong focus on statistics. A PhD is an advantage. Practical experience with predictive modeling and time series analysis and forecasting. Techniques like multivariate linear regression, exponential smoothing, ARIMA, etc. hold no secrets for you. Good knowledge of scripting languages like R and Python. A positive attitude even when data sets are small and/or have data quality problems. In fact, you see it as a challenge to get insights from such data sets. The ability to work autonomously, as well as collaboratively in a team of Data Scientists, in an atmosphere where giving constructive feedback is a must. Fluency in English. It’d be great if you also had: Basic knowledge of relational databases and SQL. The ability to apply advanced data science techniques as well as a deep understanding of the underlying mathematics and statistics. An affinity with data visualization tools and techniques. Our Offer Like a lot of companies, we offer a permanent position working on state-of-the-art software and delivering insightful advice in a growing international company with an attractive salary and other benefits. What sets us apart from other companies are our personal coaching and training packages. Personal coaching Your coach and team coach are available during your entire career at OMP to ensure your wellbeing and personal development within the company and your future career. Training Collaborations with academia to ensure your skills remain at the highest possible level. Your Company? We are OMP, a software and consulting company delivering advanced supply chain planning solutions specifically tailored to individual industries worldwide. Our aim is to make every customer’s day by optimizing their supply chain. How do we do that? With our very own innovative planning software that meets and then exceeds expectations. With a workforce numbering more than 600 in offices around the world, we have become a prominent player in the supply chain planning space. Our customers include many leading global companies, such as ArcelorMittal, BASF, Dow, L’Oréal, Michelin, Procter & Gamble, Shaw, Shell, Smurfit Kappa, and Yoplait. We serve our customers from our head office in Belgium and regional offices in Brazil, China, France, Germany, India, the Netherlands, Spain, Ukraine, and the US." Data Science & Advanced Analytics Summer Associate,"Los Angeles, CA 90071 (Downtown area)",Capital Group,"Our Marketing Data Science and Advanced Analytics teams are passionate about using data to drive business value and insights. Our growing team of scientists is constantly researching and experimenting with innovative ideas in a start-up like environment, with the backing of one of the largest investment management firms. Our leadership team allows us to focus on fundamental research by collaborating with leading universities while working on real-world problems including data mining, natural language processing, artificial intelligence and much more. This opportunity offers the chance to bring innovation to Capital Group and build some analytic chops! We will look to you to sift through terabytes of online data to analyze patterns from thousands of financial advisors and investors to predict their next action and to optimize algorithms that determine where and when to target clients. What you may do:Research and develop cutting edge machine learning and artificial intelligence applications.Recommend systems to deliver personalized investment content and products to clients.Analyze patterns from thousands of behavioral characteristics of financial advisors and investors, market news and economic data to predict client’s next actionOptimize algorithms that determine where and when to target clients.What we look for:Current student pursuing a Masters or Ph.Dd in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Engineering, Physics, or related technical fieldsCumulative GPA of 3.0 or aboveExpertise in at least one or more major programming language (C++, Java, or similar) or one scripting language (SQL, R, Python, or similar)Research experience in Deep Learning, Natural Language Processing, Data Mining, Artificial Intelligence, Computer Vision, Optimization algorithmsKnowledge of machine learning concepts: Linear Regression, Random Forest, SVM, etc.Knowledge of Deep Learning (Neural Network) is an asset.Experience contributing to research communities- publishing papers/blog articles related to machine learningInterest in the Financial Services industry.What a summer at Capital offers:12 weeks of robust summer programming, including challenging and meaningful assignmentsCompetitive compensationAccess to senior business leadersA network of influential colleagues, experts, and thought leadersCollaborative and genuinely supportive work environmentOpportunities to participate in community service events Company Overview: Founded in 1931, Capital Group is one of the world’s largest and most trusted investment management companies and home to the American Funds. We manage more than US$1.7 trillion in assets, and our 7,500 associates make our clients their first priority every day. When we do our job right, millions of investors around the world fulfill their dreams and financial goals, from home ownership and higher education, to a comfortable retirement. Our long-term investment results and outstanding service set us apart from our competitors, while our workplace sets us apart from other employers. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law." Junior Customer Data Analyst,"Santa Barbara, CA",Briq,"The Startup Located in breathtaking downtown Santa Barbara, centered in the vibrant, up-and-coming Haley Corridor, Briq is altering the landscape for construction decision making. We are harnessing the power of data to build the industry's first construction data cloud. Leaders in automation, machine learning, and artificial intelligence, Briq is delivering deep insights empowering construction professionals to drive better outcomes. The Skinny Briq is creating amazing products and even better teams. We are growing fast and are looking for great people to join us. We are seeking an energetic and self-starting Customer Data Analyst to play a critical role in our accelerated growth. Our team of strategists, leaders, data scientists, and change-makers are revolutionizing the world by providing optimized tools that improve decision-making in one of the most changing industries today. Our clients are among the largest builders in the world; responsible for creating the infrastructure you thrive on and building the places where you live, work and play. They are hungry for better, smarter data and we are hungry for your talents to help make it happen. The Skill The Briq Customer Data Science team is looking for a Customer Data Analyst to accelerate growth. In this role, you are responsible for delivering dependable and valuable insights to Briq clients. You will indulge your passion for developing business metrics and insights from complex datasets. You will work closely with construction company executives, project managers, ETL engineers, software development engineers, and product managers to produce reports and analyses that provide our clients with deep insights. You are able to turn ambiguous business questions into clearly defined problem sets, research and develop quantifiable metrics, implement Extract-Transform-Load (ETL) processes, and deliver high quality results on time. You enjoy designing insightful reports and compelling data visualizations with high attention to quality, and want to automate everything you have built. To be successful, you: Deliver project charters with timelines, milestones, and regular updates to clients through project management principles & techniques. Maintain above-industry levels of client retention Deliver high quality, trusted, results with zero data-defectsOn a normal day at Briq HQ, a Customer Data Analyst can be found: Analyzing new data from multiple public and private sources, and instruct the necessary teams with how to ingest, transform, analyze and present the results to answer complex questions about our clients' business Developing records management processes and policies Conceptualizing dashboard wire-frames with the goal of enabling data-driven decision making Presenting complex topics to key client stakeholders and senior executives Delivering recommendations to our clients on how to improve construction KPIs Ensuring models and results are implemented correctly in the Briq platform Work with ETL engineers and clients to improve client's data hygiene Share the reports for internal and external audiences using the Briq platform Write SQL queries to extract data from the data warehouse Define and work with ETL, automation, and product teams to establish and maintain automated data processes Exercise extreme level of due diligence in regards to client data quality The Standard To succeed in this role and at Briq, you are driven, dedicated, and committed to advancing your career. You hustle, collaborate, innovate, have an unmatched attention to detail, and are constantly challenging yourself to learn and grow. You LOVE to learn new things and adapt easily when trajectories pivot. You have an insatiable curiosity we will struggle to please and mad communications skills. You're empathetic, enthusiastic, and eager to work harder than you ever have before. You have a great attention to detail and pride yourself in delivering projects with the highest levels of quality.. Furthermore, you're the type of person who is energized by and embraces the challenge of managing multiple complex projects simultaneously. And you enjoy tackling challenges head on and innovative problem solving. You have 1-2 years experience in a related field. You hold at least a Bachelor's Degree in mathematics, statistics, or business with an analytics focus. You are experienced in statistical methodologies, complex modeling, data cleansing, and data enriching techniques. You succeed because you have strong project management skills and a combination of analytical skills, intellectual curiosity, creative problem solving, reporting acumen and strong technical skills. You have some knowledge of SQL, R, or Python. You love to tell compelling stories built on a foundation of data and supported by exceptional visualizations. And you are comfortable presenting these stories and engaging in business and data discussions with company executives. Briq is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you think you have what it takes to thrive here, we want you!" Data Scientist,"San Diego, CA",Solar Turbines,"Job Description We are looking for a high performing Data Scientist to join our dynamic digital team at Solar Turbines. The Data Scientist will apply analytical methods to extract insights from data in support of product development, sales, marketing, and most importantly our customers. The Data Scientist will contribute to our mission by leveraging their quantitative analysis, data management, modeling and/or data visualization skills as an individual contributor to project teams tasked with solving business and engineering problems. The ideal candidate is adept at using large and diverse data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Responsibilities: Solar collects and stores a myriad of data relating to the manufacturing, sales, operation, and maintenance of machinery. The role of the Data Scientist is to use data analysis and problem-solving to extract insights from this data to solve business and technical problems. Typical problems include the development of analytics to detect faults or failures from data acquired from machinery in operation, supporting sales requests through historical data analysis, to creating visualizations to enable intelligent, data-driven business decisions. The principal responsibility of the Data Scientist is to be an independent contributor to multi-person Agile development teams. This position has a depth of knowledge in quantitative analytic methods, data management, and or associated digital technologies. The work is typically directed by the Agile development team in coordination with a product owner and business stakeholders. The Data Scientist will: Demonstrate a breadth of knowledge in the application statistical and first principle analysis methods to solve business problems Conduct exploratory data analysis, data munging / cleaning, and create informative visualizations Create software-based solutions such as algorithms in code, applications, APIs, Business Intelligence Dashboards Collaboratively work with engineers, software developers, subject matter experts, and business representatives Be capable of presenting work through clear and effective communication to explain their problem-solving processes and conclusions to audiences with varied knowledge and experience with quantitative analytical methods Collaborate on shared software code by adhering to good software development practices, version control, and rapid iteration Have a strong focus on continual learning technology developments, and analysis techniques Minimum Qualifications B.S degree or commensurate experience in STEM (Science, Technology, Engineering, and Math) Minimum of 3 years related work experience Minimum of 1 year of experience working with industrial machine data Experience in data-science, statistical analysis, and machine-learning methods or experience in physics based analysis and modeling Proficient in one of the following programming languages (Python, Matlab, R, C++, or related) Experience with Agile development cycles Experience working on teams that develop new software products Preferred Qualifications M.S. degree or higher (or commensurate experience) in STEM (Science, Technology, Engineering, and Math) Experience in the modeling of machinery, specifically rotating equipment Demonstrated knowledge of rotating equipment and industrial IOT Experience working with time-series data Experience with integrating with relational data stores (SQL, Postgres) Working knowledge of functional and object-oriented programming Experience and demonstrated skill organizing and articulating complex technology concepts Motivated self-starter who can work with team members to rapidly iterate to solve problems Ability to immerse oneself in an industrial software market, and quickly add value to a team Excellent written and oral communications skills Capable of self-managing and multi-tasking in a fast-paced environment Ability to collaborate on international and cross-organization teams Ability to apply critical thinking and analytical skills to recommend creative solutions to business and technical challenges A curious thinker who is passionate about solving problems, executing on ideas, and delivering tangible solutions Desire to change the world! Auto req ID 9155BR Location Skypark 5 Country United States State/Region/Province California Company Solar Turbines Incorporated Job Category Field Services Minimum Education Level Bachelors Degree Minimum Years Experience 3 to 5 Shift 1st Shift Travel Requirements None to minimal Relocation Eligibility This position does not qualify for relocation. Benefits Eligibility Solar Turbines offers a competitive compensation and benefits package including medical, dental, life insurance, vacation, 401k, incentive bonus, tuition reimbursement and professional development/advancement opportunities. Company Info Headquartered in San Diego, California, USA, Solar Turbines Incorporated, a subsidiary of Caterpillar Inc., is one of the world’s leading manufacturers of industrial gas turbines, with more than 15,000 units and over 2 billion operating hours in over 100 countries. Products from Solar Turbines play an important role in the development of oil, natural gas and power generation projects around the world. Solar Turbines’ products include gas turbine engines (rated from 1590 to 30,000 horsepower), gas compressors, and gas turbine-powered compressor sets, mechanical-drive packages and generator sets (ranging from 1 to 22 megawatts). Solar’s customers put the company’s products to work in many areas including production, processing and pipeline transmission of natural gas and crude oil and generation of electricity and thermal energy for processing applications, such as manufacturing chemicals, pharmaceuticals, and food products. Solar’s foundation is people and Solar’s culture is one where individual contributions are valued, diversity in the workplace is encouraged, and safety is emphasized in all aspects of the business. Solar Turbines is comprised of a dedicated and multi-talented workforce of more than 7,000 employees with decades of experience working as a global team. Solar Turbines is an EEO/AA Employer. All qualified applicants – including minorities, females, veterans and individuals with disabilities – are encouraged to apply. Solar Turbines conducts Drug Screens and Background Checks EOE Plus Solar Turbines is an Equal Opportunity Employer. Solar Turbines conducts Drug Screens and Background Checks." Data Scientist,"San Francisco, CA 94133 (North Waterfront area)","Kevala, Inc","_Title: Data Scientist __ Job Summary __ _ Kevala is looking for a data scientist to help us accelerate a clean energy future by making energy-related data meaningful, transparent and broadly accessible. This role is focused on building the Grid Assessor data platform and will be based out of our San Francisco, CA headquarters. This position reports to the Director of Engineering.Responsibilities and DutiesThe successful candidate will be part of a team that regularly releases updates to Grid Assessor and other Kevala products. This position will build on existing Kevala projects for the automotive and electric utility industries that are accelerating the decarbonization of the global economy and be primarily focused on modeling aspects of the power grid, from energy consumption, distribution, and production to electric vehicle charge optimization.Qualifications and Skills A Bachelor’s of Science degree in data science or a minimum of four years equivalent job experience in a data science-related field.Preferred working knowledge of Geospatial and Time Series databasesExperience using or willingness to learn Python Data Stack (Pandas, Numpy, SciPy), PyTorch, Scikit-learn, and Tensorflow.*_ About Kevala __ _ Kevala’s team is solving the challenges facing energy market participants interacting with the evolving electricity grid. America’s aging electric system is facing rapid transformation from changing technology and the proliferation of distributed energy resources. Kevala is providing data and analysis to accelerate smart investment in a world served by a more robust, environmentally sustainable, effective, and safe grid. The principle of creating a better future by mapping our mutual energy sources and systems is the foundation for everything we do. For more information, visit us at https://kevalaanalytics.com/Job Type: Full-timeSalary: $110,000.00 to $150,000.00 /hourExperience:workinGeospatial and Time Series databases: 2 years (Preferred)data scientist: 4 years (Preferred)Education:Bachelor's (Required)Work Location:One locationBenefits:Health insuranceDental insuranceVision insurancePaid time offFlexible scheduleParental leaveProfessional development assistanceThis Company Describes Its Culture as:Innovative -- innovative and risk-takingOutcome-oriented -- results-focused with strong performance cultureTeam-oriented -- cooperative and collaborativeSchedule:Monday to Friday" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Data Scientist,"Bellevue, WA",Discovery Communications,"Position Summary: About Discovery Discovery, Inc. is the global leader in real life entertainment. We serve passionate fans with content that inspires, informs, and entertains, providing leadership across deeply loved and trusted brands, such as Discovery Channel, TLC, Animal Planet, HGTV, Food Network, and Travel Channel. Available in 220 countries and territories and 50 languages, Discovery reaches viewers on all screens and services, from free-to-air and pay-TV channels, to digital products and streaming services, to social and mobile-first content and formats. Discovery delivers over 8,000 hours of original programming each year.About Us Discovery's Digital group is a well-funded start-up within Discovery, Inc. We are fast, nimble, and have fun developing new, innovative, and immersive digital products and content for iconic brands. We are working at the crossroads of technology, entertainment, and every day utility. As content creators across the digital ecosystem, we continuously leverage our technology to create immersive viewing and interactive experiences. We tell engaging stories to millions of viewers across the Internet every day, and bring new interactive experiences to life to not only entertain, but improve the lives of our customers. Position Summary We are hiring a Data Scientist in Bellevue, Washington to help build, scale, and improve data models to drive key features and deliver critical insights across our food, home, and lifestyle products. The Data Scientist will bring their experience and skill to the Data Science and Analytics team and contribute wholly or partly in creating scalable data models using various modeling or machine learning techniques to support our direct-to-consumer products and apps. This role will own whole or components of data models that drive specific product features and drive insights in support of our consumer products across mobile, tablets, web, connected TV, voice, and emerging technologies. They will use big data platforms and statistical, econometric, and/or machine learning techniques to enable product capabilities and features beyond what is feasible using heuristics or curation. The data scientist will ensure the ongoing performance of reliable and ever-improving data models using modern modeling technologies. An ideal candidate will be a driven, passionate advocate for using data science to produce great experiences for our customers. This person will make data-driven decisions, have an insatiable curiosity, love to invent and innovate to solve difficult problems, and obsess about their customers. They will have a strong point of view but remain open-minded should evidence lead elsewhere. They are a team player whom others enjoy working with because they are reliable, innovative, and care for their team members. They build trust with people from all areas of the business and have a proven track record. The data scientist takes end-to-end ownership of their work and consistently delivers results in a fast-paced environment. When their models fail to perform at first, they persist, learn, and iterate to deliver ever improving data models and solutions. Responsibilities: 1. Partner with product, marketing, engineering, and analytics stakeholders to understand and prioritize where we can leverage data science and modeling to support key business goals and processes. 2. Determine the best modeling approach to solve and automate various problems - finding solutions that effectively balance performance, simplicity, and scalability. 3. Work with engineering and analytics teams to identify scalable, accessible data sources for modeling. 4. Design, build, maintain, and improve data models to deliver customer, product, and marketing features and insights. 5. Ensure data models are production ready and perform to sufficiently support real-time product usage. 6. Prepare redundant and scalable data models that efficiently use resources and elegantly handle disruptions. 7. Ensure data integrity and accuracy across all model inputs. 8. Partner with other data science teams to share best practices and insights to support ongoing learning. 9. Make data science techniques approachable and understandable to non-data scientists. 10. Support the hiring and development of other data scientists, analysts, and other technical professionals, helping them enhance their skills, while supporting a fun and engaging culture. Requirements:Minimum of 3+ years of proven technical experience in data science and modeling.Experience with statistical programming languages, such as Python or R is required.Experience in structuring, cleansing, and preparing large, complex datasets for modeling. Experience with SQL and other data querying techniques. Experience with Apache Spark and Hadoop is preferred. Experience with Amazon Web Services (Redshift, S3, EC2, EMR, etc.) is preferred. Demonstrated ability to work across product, engineering, and analytics teams to evaluate new ideas, discuss technical concepts, create scalable designs, implement new models, and make tradeoffs to remove roadblocks.Strong understanding of digital products, e-commerce economics and strong business acumen.Demonstrated ability to iterate and improve models both prior to and after they are implemented in production.Strong written and verbal communication skills. Can communicate the results of your work clearly to your audience. Master’s degree in quantitative or technical field (engineering, statistics, computer sciences, etc.) is a required.Must have the legal right to work in the United States Belleve, Washington, WA, Seattle" Señior Data Scientist,"Boston, MA",PIÑATA SCIENCES,"Pinata Scienes is looking for an experienced Data Scientist. This data driven individual will work with clients across a wide range of industries to deliver scalable solutions that provide real-word business value. In addition to building solutions, you must possess the ability to lead in person workshops with clients and technical discussions. This energetic data scientist will be responsible for taking in person findings and developing practical business solutions for our clients. In order to succeed in this role, you must be passionate about solving business problems using data science and engaging with customers at a high level. Come bust open some data with us! Main Requirements: Hands-on experience building and implementing predictive models Excellent customer engagement skills Strong organizational, communication, writing and interpersonal skills Expereience with a variety of technical tools for the manipulation of datasets 4-5+ years of real-world business experience Up to 50% travel Desired Skills: Experience with machine learning techniques Fluency with scripting (Python / R) Experience with Hadoop and related Big Data technologies" CORE - Data Scientist,"Seattle, WA 98115 (Ravenna area)",Logic20/20,"Data Scientist Seattle, WAAbout the Role. . . This role requires an in-depth understanding of statistics, as well as basic programming and data management skills. Success will require strong statistical problem-solving skills and the ability to leverage cutting-edge big data technologies. You like to . . . Create frameworks to predict a variety of outcomes in different scenarios Create models of customer satisfaction that provide detailed insight into what causes a customer to take different actions Collaborate with other data scientists and stakeholders on projects You’re Good At Researching and designing statistical models to answer target questions, optimizing processes and outcomes, and informed decision-making Developing solutions in R or Python Developing production grade solution is a huge plus Working in Hadoop, Redshift, or Spark Translating business and product questions into analytics projects Communicating clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights Qualifications. . . Good Knowledge of SQL (3+ years) creating advanced queries in a high impact role. Must have experience with Web Analytics. Knowledge of Statistics and Machine Learning techniques. 3+ years building statistical models/evaluating/Feature selection in a high impact role. Knowledge of the latest NLP techniques Masters in Stats, computer science or related field Knowledge of R or Python (3+ years) Knowledge of C# (at least 1 year) Experience building data pipelines A portfolio of NLP projects to showcase and discuss Experience in marketing analytics, attribution modeling, or click-stream data analysis MS / PhD in Machine Learning, Statistics, Computer Science, Data Mining, Math or any quantitative discipline About Logic20/20. . . Logic20/20 is one of Seattle’s fastest growing full-service consulting firms. Our core competency is creating simplicity and efficiency in complex solutions. Although we make it look like magic, we succeed by combining methodical and structured approaches with our substantial experience to design elegant solutions for even the most intricate challenges. Our rapid growth is in response to our ability to deliver consistently for our clients, which is directly related to the quality of the people we hire. The past four years, we’ve been in the top 10 “Best Companies to Work For” ….. why? Our team members are highly self-motivated, comfortable conceiving strategies on the fly, and enjoy working both individually and as part of a team. Our environment is very high-energy and demanding, and individuals with remarkable enthusiasm and a can-do attitude are joining our team. We have lots of fun, focus on our employees and our clients, and work to bring our best to every opportunity." Data Scientist,"Chicago, IL","Blue Cross Blue Shield of IL, MT, NM, OK & TX","We’re looking for a Data Scientist in our growing Enterprise Data Science Team to develop new data science products using machine learning, natural language processing, data visualization techniques, and other forms of advanced analytics. The Enterprise Data Science team is also a Center of Excellence for data science at Blue Cross and Blue Shield of Illinois, New Mexico, Montana, Oklahoma & Texas. This person will spend approximately a quarter of their time promoting best practices in data science across the enterprise and leading and organizing technical training for the broader community. At the largest customer-owned and not-for-profit health insurer and fourth largest health insurer overall in the United States, you will have the opportunity to work with massive datasets to drive revenue growth, improve our operational and member-facing processes, and affect how healthcare is delivered to our members. An ideal candidate would be someone who loves working with data, demonstrates a continuous learning and growth mindset, possesses an interest in the intersection of healthcare and technology, and has an ability to communicate complex technical concepts to non-technical audiences. Job Purpose: This position is responsible for employing advanced analytical techniques to create and drive adoption of data-based products and processes to add business value for internal and external customers. They will use data analysis, machine learning, predictive modeling, statistics, visualization, and other data science techniques to derive actionable insights. They will leverage domain expertise and communication skills to identify data-based solutions to customer needs, and present and explain technical findings to non-technical audiences to promote data-driven decision making. They will create analytical processes for automated machine driven decision making where human decision making is not scalable or feasible.Job Responsibilities: Apply data analysis, machine learning, predictive modeling, statistics, visualization, and other data science techniques to derive actionable insights.Leverage domain expertise and communication skills to identify data-based solutions to customer needs.Develop, create, and implement data-based products and processes to add business value for internal and external customers.Develop, create, and implement analytical processes for automated machine driven decision making where human decision making is not scalable or feasible.Present and explain technical findings to non-technical audiences to promote data-driven decision making.Identify new data sources, drive collection of data, and identify use cases for existing data sources.Document steps and data sources and ensure that models and processes are easily understandable and maintainable.Document steps and data sources and ensure that models and processes are easily understandable and maintainable.Communicate and interact effectively and professionally with co-workers, management, customers, etc.Comply with HIPAA, Diversity Principles, Corporate Integrity, Compliance Program policies and other applicable corporate and departmental policies.Maintain communication with management regarding development within areas of assigned responsibilities and perform special projects as required or requested. Required Job Qualifications: Bachelor's degree and 3 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Actuarial credential or Master's degree and 2 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 6 years experience in an advanced mathematical, statistical, computer science, engineering, physics, economics or related quantitative field.Strong learning and growth mindsetCustomer-focusedStrong interpersonal, verbal and written communication skills.Must demonstrate proficiency in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare.Proficiency with Microsoft applications including Access, Excel, Word and Power Point. Preferred Job Qualifications: Masters or Ph.D. in a quantitative field, or bachelors degree with significant healthcare experience.Strong conceptual understanding of statistical learning theoryExperience with SQL and related data access toolsPractical experience with open-source tools for machine learning and statistical modelingKnowledge of general-purpose programming languages such as python, Java or C++Experience with emerging analytical tools and frameworks such as Spark, Dask, Keras, pyTorch, Flair and BERTExperience in creating rich custom data visualizations This position is located in Chicago, IL. Relocation will not be provided for this position.CA HCSC is committed to diversity in the workplace and to providing equal opportunity and affirmative action to employees and applicants. We are an Equal Opportunity Employment / Affirmative Action employer dedicated to workforce diversity and a drug-free and smoke-free workplace. Drug screening and background investigation are required, as allowed by law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Requirements: Expertise Data Science Job Type Full-Time Regular Location IL - Chicago HCSC is committed to diversity in the workplace and to providing equal opportunity and affirmative action to employees and applicants. If you are an individual with a disability or a disabled veteran and need an accommodation or assistance in either using the Careers website or completing the application process, you can call us at 1-866-977-7378 to request reasonable accommodations. Please note that only requests for accommodations in the application process will be returned. All applications, including resumes, must be submitted through HCSC's Career website on-line application process. If you have general questions regarding the status of an existing application, navigate to ""my account"" and click on ""View your job submissions""." Data Scientist,"Armonk, NY 10504",Swiss Re,"About Swiss Re The Swiss Re Group is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. It anticipates and manages risk – from natural catastrophes to climate change, from ageing populations to cybercrime. The aim of the Swiss Re Group is to enable society to thrive and progress, creating new opportunities and solutions for its clients. Headquartered in Zurich, Switzerland, where it was founded in 1863, the Swiss Re Group operates through a network of around 80 offices globally. It is organised into three Business Units, each with a distinct strategy and set of objectives contributing to the Group’s overall mission. About Swiss Re The Swiss Re Group is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. It anticipates and manages risk – from natural catastrophes to climate change, from ageing populations to cybercrime. The aim of the Swiss Re Group is to enable society to thrive and progress, creating new opportunities and solutions for its clients. Headquartered in Zurich, Switzerland, where it was founded in 1863, the Swiss Re Group operates through a network of around 80 offices globally. It is organized into three Business Units, each with a distinct strategy and set of objectives contributing to the Group’s overall mission. About the role We are seeking a highly motivated, experienced data scientist to join a global team of analytics professionals who support the digital transformation of Swiss Re and the insurance industry. You will be primarily based in Armonk with the possibility to occasionally work from other Swiss Re offices (e.g. New York City) and collaborate with stakeholders around the globe. Your main responsibilities are: Work closely with internal stakeholders and clients to ideate, develop and deploy innovative analytics solutions Develop a deep understanding of the business problem to derive suitable analytics approaches and requirements Build prototypes to validate desirability, viability and feasibility of the proposed approach Validate, interpret and present findings and solutions to both expert and non-expert audiences Support full deployment of analytics solutions into operational environments Continuously monitor relevant industry and technology trends to ensure further development of Swiss Re's analytics capabilities Promote and share digital & smart analytics knowledge, skills and services internally and externally to drive the digital transformation of Swiss Re and the insurance industry About the team The Digital & Smart Analytics (DSA) team supports Swiss Re's business functions and clients in developing state of the art technology solutions leveraging our advanced analytics and data engineering capabilities. DSA works with all business units to implement Swiss Re's tech strategy by generating unique insights, improving operational efficiency and developing new technology driven value propositions . Our integrated global team of analytics consultants, analytics specialists and data engineers enables us to facilitate end-to-end solutions delivery from ideation and prototyping to deployment and run. As Swiss Re's center of competence for smart analytics, DSA further enables the proliferation of advanced data handling capabilities throughout the company.About You Technical Requirements: Advanced degree (master's degree or PhD) with quantitative background (data science, applied mathematics or statistics, computer science, engineering, econometrics or another related field) 2-4 years of experience in analytics ( machine learning, statistics, natural language processing, computer vision, information retrieval ) in research and/or corporate environment. Experience in at least one scripting or programming language (e.g. Python, R, Matlab, Perl, Java), proficiency in relational databases and SQL ( e xperience with large data sets and distributed computing is a plus). High level of analytical problem-solving skills and ability to assimilate complex information as well as experience in building and deploying innovative solutions Excellent English language skills, other languages (e.g. German, Spanish, Chinese) are a plus Flexibility to travel Soft Skills: Team player with strong interpersonal skills and experience of working in cross-functional teams Ability to communicate complex problems with clarity and effectiveness to expert and non-expert audience Ability to initiate and drive projects to completion with minimal guidance Track-record of creative problem solving as well as openness and curiosity to learnKeywords: Reference Code: 89070" Postdoctoral Appointee – Computational and Data Scientist,"Lemont, IL 60439",Argonne National Laboratory,"Postdoctoral Appointee – Computational and Data Scientist Requisition Number: 4999 Location: Lemont, IL Functional Area: Division: LCF-Leadership Computing Facility Employment Category: Temporary 6 Months or Greater Education Required: Doctorate Degree Level (Grade): 700 Shift: Share: Facebook LinkedIn TwitterPosition DescriptionThe Leadership Computing Facility at Argonne National Laboratory (ALCF) seeks well-prepared candidates in chemistry, physics, biology, engineering, computer science, applied mathematics, especially with an interest in the convergence of simulation, data science, and artificial intelligence for exascale computational science, for multiple positions as postdoctoral fellows. The positions will provide an extraordinary opportunity to advance breakthrough scientific discoveries on Aurora, one of the world’s first exascale systems for science research. The ESP is preparing a suite of multidisciplinary applications to launch some of the world’s first exascale computational science research on Aurora, the exascale supercomputer we will stand up in 2021. This is a job posting is for multiple future opportunities in the following skillsets: Computational chemistry and materials science—electronic structure, catalysis, and/or experience with graph analytics and machine learning/deep learning Computational physics—high-energy physics, cosmology, and incorporation of data science methodologies in experimental/observational and simulation workflows Computational biology—deep learning in cancer drug response, in-situ data analytics in circulatory-system flows Computational fluid dynamics—incorporation of data-driven reduced-order models in aerodynamic flows Machine learning, data analysis, and applied statistics as methodologies in computational science This is an Evergreen job posting which allows candidates to apply once to be considered for multiple job requisitions; you may be asked to apply to a specific job posting in the future. Position RequirementsApplicants should have a doctorate degree in chemistry, physics, engineering, computer science, mathematics, statistics, or a related discipline. Applicants should have documented and comprehensive expertise and/or experience in computational science and/or data-driven computational science. Programming expertise in C++, Python, Fortran, or another programming language is essential; experience with parallel computing, including MPI, OpenMP, CUDA, SYCL, OpenCL, or Kokkos is valuable. Experience with machine learning and deep learning frameworks and tools is useful Openings are available immediately, but there is flexibility in start dates. More information on the Early Science Program at Argonne may be found at https://esp.alcf.anl.gov. Feel free to contact earlyscience@alcf.anl.gov by email with specific questions. About Argonne: Argonne is a multidisciplinary science and engineering research center, where world-class researchers work alongside experts from industry, academia, and other government laboratories to address vital national challenges in clean energy, environment, technology, and national security. We pursue big, ambitious ideas that redefine what is possible. Our pursuit of groundbreaking discoveries pushes the boundaries of fundamental science, applied science, and engineering to solve complex challenges and develop useful technologies that can transform the marketplace and change the world. As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law. Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1. You will be asked to disclose any such participation in the application phase for review by Argonne’s Legal Department. Back to top" Data Scientist,"San Juan, PR 00902",UnitedHealth Group,"Positions in this function conduct and manage outcomes of various studies that include analyzing, reviewing, forecasting, trending, and presenting information for operational and business planning. They support short and long term operational/strategic business activities - by developing, enhancing and maintaining operational information and models. They also develop and implement effective/strategic business solutions through research and analysis of data and business processes. We'll put you in the driver's seat on vital projects that have strategic importance to our mission of helping people lead healthier lives. Yes, we share a mission that inspires. We need your organizational talents and business discipline to help fuel ours. It's the opportunity to do your life's best work.(sm) Use your Sharp Analytical Skills to help us support, compile and report key information! Drive processes and technology improvement initiatives for the products, using standard project methodology (requirements, design, test, etc.). Use data to identify trends, patterns and opportunities for the business and clients. Engage users in analysis and evaluation of functional models and prototypes; identify dependencies and priorities. Evaluate technology applications for use by the user community. Produce, publish and distribute scheduled and ad-hoc client and operational reports relating to the development and performance of products. Position Overview: As an individual contributor; this individual would be responsible for providing analytical solution to client based on statistical modeling Developing analytical solutions for business problems & timely, error-free, high quality deliverables for a specific client request. Also, the individual will be responsible for his/ her analytics projects to be kept fully documented (objective, requirements, analysis plan, technical design, result, support, training etc.) Over & above the delivery responsibility, the person would be providing consultations across different analytics teams on statistics, big data support, defining business problems, provide industry knowledge to enable/ engage client in project discussions & delivery and growth of existing analytics engagements within the above mentioned functional segment Primary Responsibilities: Hands-on experience in Big Data technologies like HADOOP (Hortonworks preferred but open to Cloudera, MapR or even Apache Hadoop),PIG, HIVE, Mapreduce, Flume, Kafka, Sparks etc. Knowledge of big data/ advanced analytics concepts and algorithms text mining, social listening, recommender systems, predictive modeling, etc. Managing stakeholder’s expectations, and working with business users to gather requirements, resolve business rule requirements, and perform joint conceptual data model reviews Utilizing a range of existing Big data technologies and data modeling techniques such as star-schema, snowflake, hybrid, and new design techniques optimized for data acquisition, storage and visualization, and evangelizing the data models and techniques Managing the balance of current and future needs or user requirements in both design and content Resolving semantic discrepancies in data definitions that arise among multiple sources and projects Knowledge of programming Statistics/Java/Python/R is Exposure to tools/platforms Hadoop eco system and DB systems Domain knowledge / expertise (Healthcare) Experience to Business Intelligence or data analysis reporting Experience to Statistical Modeling, SQL Database and Data Models Experience in BI platform You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. *** ENGLISH PROFICIENT ASSESSMENT WILL BE REQUIRED AFTER APPLICATION *** Required Qualifications: Bachelor’s degree in Engineering, Business, Finance, Quantitative or related field 2 + years of business analytics work experience 2+ years of experience with Microsoft Excel 1+ year in process improvement, workflow, benchmarking and / or evaluation of business processes 1+ years of experience with project methodology (requirements, design, development, test and implementation) 1+ year of statistics, relational databases, database structures Able to work in Puerto Rico or willing to relocate English Proficiency Preferred Qualifications: Experience with statistical modeling, reporting and analyzing large amounts of data Microsoft Access experience Experience with Big Data technologies like HADOOP (Hortonworks preferred but open to Cloudera, MapR or even Apache Hadoop),PIG, HIVE, Mapreduce, Flume, Kafka, Sparks etc. Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work.(sm) Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment." Data Scientist,"College Park, MD 20740",University of Maryland,"The CATT Lab is searching for a talented junior data scientist that can provide analytics support to help solve transportation, safety and security problems. The junior data scientist will familiarize himself/herself with the CATT Lab’s transportation datasets and tools to help support CATT Lab’s reporting and visualization needs. This person should be experienced with extracting and transforming data to deliver analytical solutions, methodologies, models and dashboards using Tableau, SQL and R. The junior data scientist should be proficient with SQL and passionate about working with big data and comfortable joining multiple datasets from relational database and/or big data environments for analysis. The junior data scientist should possess technical expertise and be able to perform independent research and analysis and provide concise updates to the Lead Data Scientist. Good communication skills, organization, time management, and a “will to learn” are essential. Minimum Qualifications: Degree: Bachelor’s Degree in business analytics, data science, statistics, engineering or related field.Data Science: 2+ years of experience with R and SQL. oDevelop analytical and statistical techniques such as hypothesis testing, confidence intervals, descriptive statistics, correlation, regression etc. oImplement ML models to enhance CATT Lab’s current suite of toolsData Management: 2+ years of experience with R, SQL or MS Excel. oPerform data extraction, cleansing and transformation of large datasets for statistical analysis (querying, handling of missing values, creating new variables etc.) oIdentify new datasets for integration with existing toolsBusiness Intelligence: 2+ years of experience with ggplot2, D3, Tableau, JMP or PowerBI. oDevelop data visualizations including ad-hoc reports, graphs, charts and/or dashboards and leverage business intelligence techniques such as trend and drill-down capabilitiesBusiness Acumen: Strong MS Office (Word/PowerPoint) skills and ability to concisely communicate approach and results to technical and non-technical audiences (oral/written). oEffectively estimate effort for each work task oCoordinate and collaborate with programmers, IT project managers and other technical staff oUse strong analytical problem-solving skills Preferences: Degree: Master’s Degree in business analytics, data science, operations research, statistics, engineering or related field.4+ years of experience with R, SQL and Tableau.Transportation knowledge is a plus. Additional Certifications: Additional Information: Posting Date: 03/02/2020 Closing Date: Open Until Filled Yes Best Consideration Date 03/30/2020 Physical Demands Diversity Statement: The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions. ^Student Posting Contact Information: Applicant Documents Required Documents Resume Cover Letter List of References (no emails sent from system) Optional Documents" Data Scientist,"Nashville, TN 37201","iHeartMedia, Inc.","Current employees and contingent workers click here to apply and search by the Job Posting Title. iHeartRadio Job Summary: We are looking for an experienced Data Scientist to join the team at iHeartRadio to help us with our mission to reshape the world of music and podcasts. Data Science is at the heart of creating a data-driven culture at iHeartRadio. We help to define and deliver an unrivaled personalized music experience to our users by working closely with cross-functional with teams of Data Engineers, Product Managers, Marketing Managers, and BI/Analytics. As a full stack team, we engage with this mission at every level; we understand our user’s intents and preferences through data, and design and engineer products that directly connect our users to the music they’ll love.In your first six months, your work will result in releasing new audio data products directly to our 120+ million users. You will also build models to predict and understand the user journey through typical listening lifecycles. You will have end to end ownership of your code, though ideally you also relish reviewing a good pull request. If you enjoy building machine learning models, working with large data sets, and having a direct impact on a dynamic business, then this is a good role for you. We are looking for an experienced Data Scientist to join the team at iHeartRadio to help us with our mission to reshape the world of music and podcasts. Data Science is at the heart of creating a data-driven culture at iHeartRadio. We help to define and deliver an unrivaled personalized music experience to our users by working closely with cross-functional with teams of Data Engineers, Product Managers, Marketing Managers, and BI/Analytics. As a full stack team, we engage with this mission at every level; we understand our user’s intents and preferences through data, and design and engineer products that directly connect our users to the music they’ll love. In your first six months, your work will result in releasing new audio data products directly to our 120+ million users. You will also build models to predict and understand the user journey through typical listening lifecycles. You will have end to end ownership of your code, though ideally you also relish reviewing a good pull request. If you enjoy building machine learning models, working with large data sets, and having a direct impact on a dynamic business, then this is a good role for you. We strongly believe in being an active part of our community. We teach, write, give tech talks, release open source projects, and would love it if you also shared these passions. Take a look at a few of our recent blog posts to get an idea: https://tech.iheart.com/mapping-the-world-of-music-using-machine-learning-part-2-aa50b6a0304c https://tech.iheart.com/a-generative-model-for-track-playlists-4dba8b8515c https://tech.iheart.com/ihrpi-a-simple-solution-to-python-package-management-874e373f5838 https://tech.iheart.com/real-time-music-recommendations-for-new-users-with-amazon-sagemaker-364b346d07db You like: Solving complex real world problems Collaborating with business stakeholders to understand requirements and socialize solutions Designing and implementing novel machine learning methods Evaluating new paradigms for deploying machine learning models Staying atop the most recent developments and best practices in a quickly changing field You have: A deep understanding of machine learning algorithms and statistics Scientific or quantitative computing experience (Python, R, Spark) Experience working with distributed datasets (Hadoop, Hive, Spark, SQL) The ability to tell a story with data (large scale analysis, data visualization) Experience writing production code (such as Python, Java, or Scala) An understanding of best practices in software engineering (git, CI/CD, etc) (Preferred) a Masters or PhD degree in computer science or a quantitative discipline (statistics, mathematics, economics, etc) OR 2+ years of previous work experience as a data scientist Who are we at iHeartRadio? iHeartRadio, iHeartMedia’s digital radio platform, is the fastest growing digital audio service in the U.S. iHeartRadio offers users thousands of live radio stations, personalized custom artist stations created by just one song or seed artist, and the top podcasts and personalities. With over a billion downloads, iHeartRadio reached 120 million registered users faster than any other radio or digital music service. iHeartMedia’s platforms include radio broadcasting (850+ stations), online, mobile, digital and social media, podcasts, personalities and influencers, live concerts and events, syndication, music research services and independent media representation. Location Nashville, TN; 1200 Broadway, 6th Floor, 37203 Position Type Regular The Company is an equal opportunity employer and will not tolerate discrimination in employment on the basis of race, color, age, sex, sexual orientation, gender identity or expression, religion, disability, ethnicity, national origin, marital status, protected veteran status, genetic information, or any other legally protected classification or status.Our organization participates in E-Verify. Click here to learn about E-Verify.Current employees and contingent workers click here to apply and search by the Job Posting Title." Data Scientist,"New York, NY",ExecOnline,"ExecOnline is a fast-growing, venture-backed ed-tech firm reinventing how the world's greatest companies develop their next generation of leaders. We are looking for an exceptional addition to the team who will be responsible for ensuring that a data-driven approach is at the heart of every piece of our organization and platform. We are looking for an individual to lead data science efforts which will support our strategic initiatives at scale. This is a hands-on position that will work directly with our Data, Product, Technology and business teams to bring ExecOnline's data capabilities to the next level. Ideally, this role would be based in our New York City or Washington, DC office, but we will consider remote work for the right candidate. In this role you will:Be a key contributor to our suite of data-driven products for customers and solutions for internal stakeholders Be hands-on with Data Analysis and Visualization Development Utilize statistical models to derive deeper insights from our extensive customer and participant data Apply Natural Language Processing capabilities on unstructured data for Topic Modeling, utilized in textual data exploration, feedback insights, voice-of-customer insights, sales enablement, etc. Leverage other Machine Learning techniques for projects including Predictive Modeling, Retention Analysis, etc. Spearhead opportunities for Experimentation and A/B testing in the company, such as outbound email, web optimization, etc. Work with both structured and unstructured data Support the development of reports in Tableau We think it's appealing because you will be able to:Join a company focused on achieving scale with data Work directly with Product and business teams to deliver direct impact to customers and client-facing teams Learn on the job and be(come) an expert on executive education - then apply that expertise to make the entire system better Green-field opportunity be a thought leader in the company on data science best practices and opportunities for applications Are we a match? 3+ years of experience in a similar role will position you for success and have a Bachelor's degree in Analytics or related quantitative fields (statistics, Operations research, mathematics, econometrics etc.). An advanced degree is preferred. Experience applying modelling and advanced techniques such as: significance testing, GLM/Regression, Random Forest, Boosting, Trees, text mining Hands-on knowledge of Python/R, SQL is a must You are excited by the challenge of developing complex data-driven solutions while delivering simplicity for the end user. You value hard work, collaboration and the ability to strike the right balance between speed, quality and execution. You know how to get things done and prefer pragmatic solutions to theoretical ones. You are a ""full stack"" data person - you know how to work with large, messy data sets, no matter where or how they are stored OR you are up to figuring it out. You know your math but understand that the flashiest solutions usually aren't always the best. You have experience with some of the tools and languages we use and are excited to learn the others: Python, R, SQL Tableau Jupyter Notebooks dBeaver or equivalent Github Highly Desired Additions:AWS Redshift, Snowflake Data Warehouse Hadoop Javascript What you'll get:The opportunity to join a startup on a team with high career-growth potential across the organization A stimulating work environment working with leading-edge, highly-motivated team members Competitive base salary 20 days paid vacation Stock options Highly subsidized health insurance Opportunity to take our courses with elite business schools 2 months paid parental leave 401K with Vanguard Commuter benefits and other perks About ExecOnline ExecOnline partners with top business schools, including Berkeley-Haas, Columbia, IMD, MIT-Sloan, Wharton, Chicago Booth, Stanford, and Yale to rapidly deliver online leadership development programs that generate lasting organizational impact. ExecOnline's university-certified programs in strategy, innovation, operations, and more feature dynamic content tailored to the unique corporate objectives of their clients. ExecOnline has delivered transformational leadership development experiences to more than 200 organizations and 10,000 business leaders." Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Baltimore, MD 21230 (West Baltimore area)",Amobee,"About Amobee: The world’s leading independent advertising platform, Amobee unifies all advertising channels—including TV, programmatic and social—across all formats and devices. We provide marketers with streamlined, advanced media planning capabilities powered by in-depth analytics and proprietary audience data. Our platform and technology, provides the most advanced advertising solutions for the convergence of digital and advanced TV— including linear TV, over the top, connected TV, and premium digital video. Enabling advertisers to plan and activate across more than 150 integrated partners, including Facebook, Instagram, Pinterest, Snapchat and Twitter. Amobee has been named to Fortune’s Top 10 Best Workplaces in Advertising and Marketing. Amobee’s platforms have been widely recognized amongst our industry winning numerous awards in technology innovation, see all Amobee Awards. We are a wholly owned subsidiary of Singtel, one of the largest telco companies in the world, reaching over 700 million mobile subscribers in 21 countries. Amobee operates across North America, Europe, Middle East, Asia and Australia. For more information, visit amobee.com or follow @amobee About You: You are a talented and passionate engineer. You love solving problems and making ideas come to life. You are a lifelong learner who thrives in dynamic environments and enjoys the challenge of learning new technologies and techniques. You like owning things and it is important to you that you can have a personal impact. You are a team player and enjoy collaboration, but you are also self-directed and enjoy the autonomy to be able to manage your own schedule and workload. You appreciate the importance of good communication and know that teamwork takes practice, effort and a good attitude. The Role: The Data Scientist is responsible for collaborating with the team to design and implement systems that focus on forecasting, allocating, delivering, and reporting of advertising on the internet, TV, and connected devices. The successful candidate will utilize advanced mathematical, optimization, machine-learning, software engineering, and programming skills to solve challenging problems. Job Responsibilities Develop innovative forecasts, models, algorithms, and solutions and build prototypes and production implementations Dig deep into high volumes of data, engineer features for improved forecast performance Work cross-functionally to gather feedback and requirements from end users Be a key contributor to product innovation and company strategy Communicate technical information clearly to both technical and non-technical people Minimum Qualifications Degree in Operations Research, Mathematics, Statistics, Industrial Engineering, Mechanical Engineering, Physics, or related field; MS/PhD preferred 0-5+ years of relevant experience (appropriate MS/PhD project work acceptable) Strong analytical, statistical, and math abilities; Exceptional problem-solving skills Excellent communication skills Extreme attention to detail Ability to work as part of a team in a fast-paced environment Location: Baltimore, MD In addition to our great environment, we offer a competitive base salary, employee development programs and other comprehensive benefits. Please send a cover letter along with your resume when applying to the position of interest located at Amobee.com. We are an Equal Opportunity Employer. No phone calls and no recruiting agencies, please." Enterprise Data Science Analyst,"Los Angeles, CA",City National Bank,"ENTERPRISE DATA SCIENCE ANALYSTWHAT IS THE OPPORTUNITY? The Enterprise Data Science Analyst is a key role responsible for developing and supporting the Data Science and advanced Analytics function for City National Bank by providing business analysis and Data Analysis for various use cases. Driven by intellectual curiosity and a passion for data, the Data Science Analyst develops and executes innovative analytic plans that are intended to provide CNB with the necessary information to transform.Business and Technology Services Division As a member of City National's Business & Technology group, you will drive, develop, and maintain solutions for clients and colleagues. This is an exciting time of technology advancement and innovation across the bank, particularly within our technology teams. WHAT WILL YOU DO? Understand primary types of financial, operational and CRM data and methods for approaching data assessments. Evaluate a wide array of data types. Conduct and interpret analyses, develop appropriate statistical models, manipulate complex databases, and track and evaluate patterns of care and outcomes. Perform data validation, conduct analysis plans, and cross-reference data. Present and communicate project results to non-analytic staff members and business users. Understand the CNB business and translates CNB's vision into high level scope and data and data science design Frame requirements with proper context with stakeholders and manage scope expectations. Provide structured approach to eliciting data science and business requirements for data sourcing , analytics and reporting deliverables and ensure analysis documentation is transparent and auditable Manage detailed data science requirements: identifying, tracking and resolving data science related issues Assess, research, analyze and document sponsor/stakeholder needs Incorporate quantitative and qualitative factors to evaluate analysis and lead appropriate conclusions Leverage technical skills to develop, customize or implement data analysis investigation tools and solutions Create test case scenarios; ensuring that test cases are tightly integrated with data requirements Recommend business solutions that satisfy sponsor/stakeholder needs while continually exploring and assessing options for value-add. Develop and execute testing including coordinating system and acceptance testing WHAT DO YOU NEED TO SUCCEED Must-Have* 1-2 years of data science and data analysis preferably in a data-intensive financial company. 1-2 years of experience in data science tools and technologies like R , SAS , Python 1-2 years of Information technology or Financial reporting experience Skills and Knowledge Ability to understand and communicate business value Experience in stakeholder engagement and working with end users and clients to understand their needs Excellent critical thinking, time management, leadership, and project management skills Training in statistical modeling, predictive modeling, data management and analysis Ability to develop solid understanding of financial business insights Knowledge of statistical programming preferred. Experience with relational databases, SQL, and other reporting tools 1-2 years hands-on experience with Analytic tools like R, Python, and Tableau. Bachelor is Degree preferably in Data Science, Information Systems, Finance or Business Administration. Master's Degree in a related field is strongly desired.To be considered for this position you must meet at least these basic qualifications The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.INCLUSION AND EQUAL OPPORTUNITY EMPLOYMENT City National Bank is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other basis protected by law.ABOUT CITY NATIONAL We start with a basic premise: Business is personal. Since day one we've always gone further than the competition to help our clients, colleagues and community flourish. City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of integrity, community and unparalleled client relationships continues to drive phenomenal growth today. City National is a subsidiary of Royal Bank of Canada, one of North America's leading diversified financial services companies. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled" Junior Data Scientist,"Boca Raton, FL 33487",Orangetheory Fitness,"Job Posting Details: The Junior Data Scientist assesses applicability of different AI/ML methods for different use cases. The Junior Data Scientist builds advanced analytics solutions in a production environment, draws insights from large or complex data sets to solve business problems addressed by use cases, and helps drive advanced analytics thinking and methodologies by investigating various topics and sharing insights with broader Data & Analytics team as well as business stakeholders. EXPERIENCE/QUALIFICATIONS Gather business requirements and translate them into information solutions Identify required data structures and apply strong expertise in advanced analytics techniques (e.g. AI and machine-learning) to design, prototype, and build solutions to business problems Collaborate with Data Engineer(s) to support data modelling and testing during projects, and incorporating advanced analytics into ongoing business processes Ensure analytics tools and methods used in projects are robust and of the highest quality Help manage use case development and ensure frequent communication with other stakeholders to drive use case development and manage expectations on model limitations and lead times Collaborate with business units to provide technical guidance related to AI/ML-based models Develop internal analytics capabilities and best practices (models, standards, tools), and share learnings with peers Contribute to building advanced analytics capabilities, attending conferences, and allocating time to investigate new topics, etc. Provide key input during use case definition phase to ensure feasibility and value potential Perform advanced analytics work during all phases of use case development JOB REQUIREMENTS At least 1 year of experience in a statistical and/or data science role (3+ years preferred) Bachelor’s in Data Science, Statistics, CS, or related field; Master’s preferred Expertise in advanced analytical techniques (e.g. descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, segmentation analysis, etc.) Experience using analytical tools and languages, (e.g., Python, R, etc.) Experience working with large data sets and distributed computing tools (e.g. Hadoop, Hive, Spark, AWS Lambda, etc.) Experience with data visualization tools (e.g., Tableau, PowerBI) ESSENTIAL SKILLS Knowledge of the industry and ability to translate business needs into advanced analytics solutions Experience implementing data science products in a business setting EEO STATEMENT Orangetheory Fitness provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Discrimination of any type will not be tolerated." Data Scientist,"Chicago, IL 60611 (Streeterville area)","SMS Assist, LLC","Responsibilities Use machine learning to improve and automate processes in SMS proprietary tools Apply data mining techniques to make recommendations based on data and communicates results through insightful visualizations, reports and presentations Improve the dataset (or data repository) quality by cleaning the company’s data and collecting information from new sources Translate business analytics problems into technical approaches in diverse domains such as vendor recommendation, work scheduling and technician dispatch, etc. Collaborate with different teams to develop, refine, and scale procedures and workflows. Foster a positive team environment Ensure confidentiality of internal and external data Perform ad-hoc projects and other duties as assigned Professional Skills These are the professional skills we would expect from an individual fully established in this role. Verbal Communication - Proficient Written Communication - Proficient Teamwork - Proficient Relationships - Proficient Negotiation - Proficient Organizational Awareness - Proficient Learning Agility - Proficient Analysis - Proficient Problem Solving - Proficient Process Orientation - Proficient Prioritization - Advanced Role Specific Skills Strong mathematical and statistical skills. Programming Languages: SQL, Python Understanding of ETL tools and database architecture Qualifications Minimum Qualifications Bachelor's degree in Math, Physics, Statistics, Computer Science, or with equivalent professional experience. Experience using a machine learning framework e.g. scikit-learn, torch or similar Experience with a statistical software (e.g. R, SAS) 0-2 years of experience as a data scientist, working closely within a business Other Relevant Qualifications PhD or M.S. in related fields. Experience with natural language processing. Advanced knowledge of Data Warehousing and BI best practices Experience with big data tools such as Spark, Hadoop, etc. Experience with Tableau or Superset. Please note, this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities, and schedule may change at any time with or without notice. SMS Assist is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law." Junior Data Scientist,"Mooresville, NC",Lowe's Inc.,"Purpose of Role: The primary purpose of this role is to support the data needs of the Reporting and Analytics team. This includes responsibility for extracting, importing, and linking data from various database sources as well as different areas of the company to create, automate and produce daily, weekly, monthly reports and datasets, utilizing professional formatting to support all levels of management. Responsibility Statements:Supports the Reporting & Analytics group on Excel, Access, and various ETL tools to create reports, manage dashboards, and automate data feeds from various database sources (SQL Server, Teradata, Peoplesoft, Kenexa, and Kronos).Documents data analytics models and processes.Supports the development and implementation of data collection systems and other strategies to optimize statistical efficiency and data quality.Supports the acquisition of data from primary or secondary data sources to maintain databases/data systems, and to identify, analyze, and interpret trends or patterns in complex data sets.Cleans up data sets and reviews computer reports, printouts, and performance indicators to locate and correct code problems.Provides training support for end users on the use of tools developed by the Reporting & Analytics team.Acts as security administrator for tools developed by the Reporting & Analytics team.Develops and curates data dictionaries, reporting inventory and user/distribution lists. REQUIRED EDUCATION/EXPERIENCE:Bachelor’s Degree in Mathematics, Economics, Computer Science, Information Management or Statistics.3 years IT experience including 3 years business intelligence / data warehouse applications, reporting solutions, and/or dashboard experience.Experience writing SQL for querying a database.Technical expertise regarding data models, database design development, data mining and segmentation techniques.Experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, JavaScript, or ETL frameworks.Knowledge of statistics and experience using statistical packages for analyzing large datasets (Excel, SPSS, SAS etc.).Knowledge of automation of MS Office products through the use of VBA.Knowledge of Business Intelligence standards and best practices. PREFERRED EDUCATION/EXPERIENCE:Master’s Degree in Mathematics, Economics, Computer Science, Information Management or Statistics.Experience working in Big Data, SAS and/or Alteryx.Experience with Web Services Standards (SOAP, XML, WSDL, UDDI).Experience with standard internet protocols such as HTTP, HTTPS, POP, FTP, SMTP and/or applied knowledge of user interface technologies (HTML, JavaScript, JSP. About Lowe’s: Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 18 million customers a week in the United States and Canada. With fiscal year 2019 sales of $72.1 billion, Lowe’s and its related businesses operate or service more than 2,200 home improvement and hardware stores and employ approximately 300,000 associates. Founded in 1946 and based in Mooresville, N.C., Lowe’s supports its hometown Charlotte region and all communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts. For more information, visit Lowes.com." Data Scientist,"Newport Beach, CA 92660",Evolus,"Evolus is a performance beauty company with a customer-centric approach focused on delivering breakthrough products. We are seeking an experienced, collaborative Data Scientist. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops analysis tools which will influence both our physicians and consumers. This is a great opportunity for someone who enjoys a fast-paced, ever-changing environment, new challenges, evolving their skills and improving processes. If you are looking for an opportunity to showcase your abilities while growing your knowledge, then look no further! In this role, you will be challenged to drive the success of Evolus in an effort to build a brand like no other. Let’s talk about some of the key responsibilities of the role: Collaborate with product management and engineering departments to understand company needs and devise possible solutions Design Data Acquisition Strategy Research and develop statistical learning models for data analysis Keep up-to-date with latest technology trends Communicate results and ideas to key decision makers Implement new statistical or other mathematical methodologies as needed for specific models or analysis Optimize joint development efforts through appropriate database use and project design Skills and Qualifications Required for this Dynamic Team Member: Master’s Degree in Computer Science, Statistics, Applied Math or related field 7+ years’ practical experience with SAS, ETL, data processing, database programming and data analytics Extensive background in data mining and statistical analysis Able to understand various data structures and common methods in data transformation Excellent pattern recognition and predictive modeling skills Experience with programming languages such as Java/Python an asset Experience with SFDC is a plus A Few Other Items Worth Mentioning: Office location – Newport Beach, CA This position reports directly to the Vice President, Loyalty Travel may be required Evolus takes pride in being a company on the forefront of innovation, while being committed to conducting its business with the highest degrees of integrity, professionalism, and social responsibility. We are also committed to complying with all laws and regulations that apply to our business. Employee welfare is no different. Here at Evolus, we don’t just work together, we’ve built a culture of inclusion! Because of this, you’ll find yourself immersed in an environment that not only promotes respect, collaboration and team building, but a community too (hello, Taco Tuesdays). And that’s just the tip of the iceberg. Don’t believe us? Join our team and see for yourself! EOE M/F/D/V. For more information, please visit our website at www.evolus.com." "Data Analyst, Data Science","Los Angeles, CA 90048 (Mid City West area)",Essence,"About Essence Essence, part of GroupM, is a global data and measurement-driven media agency whose mission is to make advertising more valuable to the world. Clients include Google, Flipkart, NBCUniversal, L'Oreal and the Financial Times. The agency is more than 1,800 people strong, manages $4B in annualized media spend and deploys campaigns in 106 markets via 20 offices in APAC, EMEA and North America. Visit essenceglobal.com ( essenceglobal.com ) for more information and follow us on Twitter at @essenceglobal About the role Essence is known for its use of data and rigorous experiment-based best practices to measure and quantify the success of digital media. Over the years, we have run hundreds of studies and led several research and analytics projects to understand what makes digital advertising successful. This role, based in Los Angeles, is a member of a highly technical and innovative Advanced Analytics team dedicated to a movie studio client. You will be instrumental in the development of new applications of data of varying sources with the overall objective to drive marketing efficiencies. This role offers a good blend of data engineering and data science for an aspiring data scientist with an entrepreneurial spirit. You will be responsible for: Exploratory data mining including data prep, statistical testing (significance testing, correlation analysis, confidence intervals, descriptive statistics) and data visualization Determining and executing the appropriate analytical (modeling) solution, such as classification modeling (decision tree, clustering, bagging, boosting, logit regression) and prediction modeling (linear/nonlinear), forecasting, time series, and nonparametric modeling. A bit about yourself:Degree/equivalent experiences in the applied quantitative field (Statistics, Mathematics, Econometrics, Engineering or CS) Knowledge of the data science lifecycle - acquiring data from different sources, exploratory data analysis, creating and optimizing models including validation and interpretation Hands-on experience with statistical software packages (R, Python SciPy), programming languages (SQL, Python or JAVA) and data visualization/BI tools like Tableau/Looker/Data Studio Understanding of relational and non-relational database technology, cloud-based data lake, ETL, data pipeline Experience with statistical models for multivariate testing, time series analysis, logistic regression and linear/non-linear regression, Bayesian methods, machine learning algorithms (random forest, SVM, etc…) Understanding of code version management system(Github) a plus Ability to communicate your findings effectively What you can expect from Essence Essence's mission is to make advertising more valuable to the world. We do this by employing the world's very best talent to solve some of the toughest challenges of today's digital marketing landscape. It's important that we hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. As an Essence employee, we promise you a workplace that invests in your career, cares for you and is fun and engaging. We believe these factors create a workplace where you can be yourself and do amazing work." Sr. Data Scientist,"Denver, CO 80202 (Lodo area)",Evolve Vacation Rental,"The position We're seeking an entrepreneurial and innovative Sr. Data Scientist to join our Analytics team! Evolve has been diligently working on creating a pricing algorithm built to adjust nightly rates based on live market behavior. This tool will scale with our business as we grow to be one of the largest in the industry while ensuring maximum profitability for each of our individual owners. Our dream applicant has built high performing pricing models, has experience utilizing machine learning to solve complex data problems, and is hungry to make a difference. This is your opportunity to create an industry-leading pricing strategy and be a part of the spotlight as you pioneer automated intellectual pricing in the Vacation Rental Management industry. We're a tight-knit team of Data Scientists and BI professionals that learn together and are constantly thinking about how machine learning, analytics, and visualization can make an impact on our business. What you'll get to do In collaboration with revenue management and engineering teams, own the development, deployment and optimization of a vacation rental pricing model Utilize machine learning, statistical methods, and experimental design techniques to create a highly performant algorithm Maintain model explainability and present new models in a way that builds trust and understanding across stakeholders Monitor model performance and identify opportunities for improvement Incorporate a test and learn mentality into model development Implement creative solutions to price properties in smaller markets A little about you Bachelor's degree in Computer Science, Statistics, or related quantitative field, Masters or PhD preferred 2+ years experience price forecasting for heterogeneous inventory dealing with seasonal and market shifts Proven track record of your deployed models making a business impact and getting better over time. Programming experience with Python and SQL, ideally in a full-stack machine learning setting Experience with pricing in the travel industry a plus Ability to work in a collaborative environment with a variety of stakeholders A little about us Evolve makes vacation rental easy for everyone. Our fresh approach to vacation rental management offers homeowners a better way to generate rental income and provides travelers with the industry's best booking experience. Thanks to a strong work ethic and an unapologetic passion for hospitality, we now support over 10,000 properties in over 500 markets across North America. We enjoy earning each guest and owner's business - all while having some fun along the way. Values mean more to Evolve than just bullets on a page. They drive our daily decisions and impact how we work as a hospitality company. Which value sounds the most like you? Earn It Build Loyalty One Interaction at a Time Communicate Often, Honestly & Directly Embrace Change Stay Hungry & Humble Care Be Efficient Take Risks Learn Every Day Have Some Fun Along the Way Evolve is an equal opportunity employer. We believe that a diverse work environment is a successful work environment so all qualified candidates will be considered for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. PG5f7QFjea" Data Scientist/Data Architect,"Saint Cloud, MN",Lifescale Analytics,"Job Description: At Lifescale Analytics, we help achieve data driven decision by leveraging strategic technologies to create innovated solutions, that ultimately help our clients to navigate their ever-changing data landscape. We have a contract opportunity in St. Cloud, MN for a Data Scientist/Data Architect. Responsibilities: · Build data visualizations and dashboards, drawing data from existing legacy reporting mart· Define requirements and high-level design for a dedicated analysis and visualization mart (in Snowflake), drawing data from existing reporting mart· Develop and mentor client on developing Data visualizations for SFDC data· Define requirements and design for pulling data from SFDC ad adding to analysis mart· Assist customer to retire tabular reports and replace with DVs and dashboards.Qualifications· 5+ years data science experience required· 4+ years BI data architecture & design experience required· 2+ years Banking or fin services preferred· 2+ years’ experience with Tableau or similar Visualization tool (eg, Qlik, R-Shiny) required· 2+ yearsSnowflake or similar experience (eg, Redshift, Teradata, Databricks) highly desired· Exposure to Mulesoft or similar ETL/ELT tool highly desired· Ability to coach and mentor customer staff requiredWho we are: Lifescale Analytics provides specialized expertise in data and analytics. Formed in 2012, the Lifescale Analytics team has years of experience providing a spectrum of customized data management services and solutions including Data Management/Analytics, Big Data Solutions, Cloud Services, Business Intelligence and Data Science that focus on building strong portfolios and programs. Through experience and innovation, we allow businesses, pharmaceutical companies, financial institutions and government agencies to manage and proactively make decisions based on their biggest asset, their data. Our specialists are skilled at managing, refining, analyzing or visualizing information for the specific purpose of increasing the value of IT to benefit from the data science industry.For more information, please visit our website at www.lifescaleanalytics.comJob Type: ContractExperience:data scientist: 3 years (Required)Tableau: 1 year (Required)Education:Bachelor's (Required)Location:Saint Cloud, MN (Required)Work authorization:United States (Required)Contract Length:More than 1 yearContract Renewal:LikelyWork Location:One locationSchedule:Monday to FridayDay shift" Associate Data Scientist,"Stamford, CT",Spectrum,"JOB SUMMARY The associate data scientist is responsible for executing the full-scope of advanced analytic techniques with the objectives of creating causal inferences, predictions, and recommendations for improvements to risk management processes, and the metrics to monitor those improvements. Build predictive models as necessary to support the decisions. This position requires a strong command of techniques and algorithms as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present these findings to an audience with varying levels of background in analytics. This position is responsible for formulating and managing projects, and working with key customers in order to establish roadmaps, present results, and resolve issues. MAJOR DUTIES AND RESPONSIBILITIES Actively and consistently supports all efforts to simplify and enhance the customer experience. Model data management for validation (e.g. holdout, cross-validation) Selection of appropriate algorithms and execution Responsible for interpretation of results – for both causal inferences and predictive effectiveness Synthesize appropriate recommendations for action and changes Present findings, suggested actions and changes to a broad audience, and manage follow-ups and execution Help teach and explain techniques and tools used to a broad set of business-intelligence, data, and analytics professionals with varied backgrounds Provide coaching and mentoring to achieve a high-performing team Manage internal client relationships, including issue resolution, and overall accountability for results and client satisfaction Exercise thought leadership and discretion in tailoring the tools, approaches, and data used to meet the needs of the particular problem Perform other duties as required REQUIRED QUALIFICATIONS Skills /Abilities and Knowledge Ability to read, write, speak and understand English Experience with SAS and/or R and/or Python (including relevant packages) in support of advanced analytics Skilled with relational databases, including SQL and utilizing data stored in complex schemas Expert-level logical and analytic skills Broad experience and solid theoretical foundation on the modeling process using a variety of algorithms Data pre-processing, exploratory data analysis using a variety of techniques Regression and classification using linear and logistical models, and tree-based methods Interpretation of model results, consideration of causality, treatment of multicollinearity Strong synthesis and presentation skills Ability to communicate results and recommendations to a wide variety of audiences Basic understanding of data architecture, data warehouse and data marts Demonstrated ability and desire to continually expand skill set, and learn from and teach others Education Bachelor’s Degree in Computer Science, Physics, Analytics, Math, Statistics or Quantitative Analysis Preferred: Master’s degree in computer science, mathematics, statistics, operations research or other quantitatively-focused field Related Work Experience 3+ years of Predictive modeling development and validation 2+ years with packages such as SQL/R/SAS" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Scientist,"New York, NY",Qapital,"About Qapital Qapital is a new kind of banking experience that empowers people to maximize their happiness by saving, spending, budgeting, and investing with their goals in mind. With over 1.5 million members, Qapital blends behavioral economics with technology, providing people with the tools they need to make managing money easy and fun. Recognized as a pioneer in fintech, Qapital was awarded “Most Innovative App of the Year, 2017” by Google, featured by Fast Company as one of “The 25 Best New Apps of 2018,” and included by CNET Download on its list of “The best money-saving apps to help stay within a budget in 2019.” We also have over 40,000 5-star reviews and were listed as one of 2018’s best apps for saving on the Apple App Store. We are a team of designers, behavioral scientists and financial technologists on a mission to build a new banking experience from scratch. Join us, and be part of a team that is changing the way people think about everyday banking. About the Role As a Data Scientist at Qapital, you will enable us to utilize data to drive key strategic decisions. You will develop and maintain dashboards for key product and user analytics using Looker, and build models that help development teams, finance and our leadership understand and guide Qapital’s growth. You will create and deploy tools to measure and monitor our progress against business-critical goals and perform ad hoc analyses diving into the impact of individual investments, and initiatives. You will collaborate and align with product, finance, marketing, and executive stakeholders to translate end-customer requirements into analytics deliverables. Furthermore, you will: Develop a deep understanding of available data and how it can be used for different analyses to answer questions and solve problems. Use advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Drive interpretation, understanding, and adoption of analytics insights. Work cross-functionally with developers and data scientists to identify and address analytics tracking, tooling, attribution modeling, and infrastructure challenges. Work diligently to deliver key insights and data results to key stakeholders, be they management, board, or investors. Skills and Requirements Degree in Computer Science/Engineering, Mathematics, Statistics, Economics, or another quantitative field.. 4+ years experience in data science; experience in marketing, finance, or growth analytics is a plus. Expertise in SQL, and Statistics- both writing and optimizing queries and working with large data sets. Experience with Version Control Systems such as Git/Github. Data visualization and dashboarding experience using Looker or similar tools. Experience with either Python or R for more advanced statistical analysis and visualization. Excellent communication and presentation skills. Results-driven mindset and ability to handle multiple projects. Strong interpersonal and time-management skills. Experience with digital subscription-based models is a plus. We are unable to offer sponsorship for this role. Diversity Commitment Qapital is an equal opportunity employer committed to creating a diverse workforce. A diverse team is best positioned to truly serve our market by offering a broad range of ideas, abilities and perspectives. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, disability, veteran status, or any other classification." Data Scientist,"Santa Clara, CA",Colsh Consultants,"Responsibilities • Make recommendations regarding the collection, extraction, and transformation of large data sets • Interpret data and analyze results • Translate analytical insights into clear recommendations; identify trends and patterns to inform business decisions and product design • Leverage Python to analyze complex data • Design and develop customized interactive reports and dashboards in Tableau; schedule in Tableau Server • Define and develop a data migration strategy between different products and platforms • Develop creative ways to identify and use data that significantly impact key business metrics • Assess the potential usefulness and validity of new data sources • Utilize statistical approaches to build predictive models • Mentor other team members/ analysts to grow their skills and careers" Data Scientist,"Parkville, MO 64152",Evolytics,"EVOLYTICS OVERVIEW Evolytics is evolving analytics by inspiring people to use data in ways that make a difference in the world. With a focus on optimizing consumer experiences and strengthening business growth, Evolytics works with world-class brands to support data initiatives that span the data lifecycle. Capabilities include: Measurement Strategy & Planning, Data Audits, Analytics Implementation Services, Data Engineering, Reporting & Analysis, Data Visualization, Testing & Optimization, Data Science, and Customized Training. Job responsibilities include: As a Data Scientist at Evolytics, you will collaborate with client teams to help enterprise organizations improve their marketing, products, and processes. You’ll have the opportunity to be a thought leader in the analytics industry and to work on cutting edge projects where you’re building innovative, end-to-end solutions alongside a team. Your day-to-day tasks may include: Listening to client business problems and recommending an analysis method Cleanse and prepare large datasets for analysis Conduct statistical analysis, including regression, decision tree, cluster analysis, t-test, correlation, etc. Develop and refine machine learning models Interpret analysis findings, focusing on business implications and recommended optimizations and next steps Organize and present analysis approach and findings to clients, including both statistically minded analytics audiences as well as non-statistical audiences Collaborate with data engineers to automate data pipelines Document results and process for internal and client knowledgebases What experience would we like to see? BS/MS degree in marketing, statistics, computer science, behavioral science or a related field 2+ years' experience with conducting data analysis on large data sets, via Python, R, SQL, SAS, Alteryx, or other statistical analysis tools 2+ years' experience communicating statistical results in a business setting Strong analytical skills and data-driven thinking Legally authorized to work in the United States without company sponsorship now or in the future OTHER EXPERIENCE THAT IS HELPFUL, BUT NOT REQUIRED Creating and preparing databases and tables for predictive modeling and data science applications Experience in big data environments such as AWS and Hive CULTURE What’s it like to work at Evolytics? It’s being challenged by your analytics-passionate co-workers to push the envelope. It’s constantly learning and sharpening your skill set. It’s working toward that next “aha” moment with a client when you deliver a fantastic data-derived golden nugget. It’s having a blast with the team while you perfect your craft and get to do work you love. Perks: Relaxed work environment: casual dress code, pool/ping pong table, treadmill desks Collaboration-oriented office space with plenty of room for working sessions or potlucks Awesome team building events like a day at the Royals game or mini-golf with margaritas Food…weekly lunches, daily snacks, fruits, beverages, unlimited coffee Learning opportunities: company-provided training, conferences and super-smart co-workers BENEFITS Competitive Benefits Package including Health, Dental, Vision, and Life Insurance Great Compensation Package with Paid Time Off, Performance Bonuses and IRA Matching Contributions Opportunity to work alongside amazingly fun people who are passionate about delivering awesome in everything they do. Consideration will be given to qualified candidates with varying levels of experience, with compensation commensurate with experience. Awesome people make powerful teams. Let’s do great things together!" Data Scientist,"Markham, IL",Aviva,"Join an exciting team of actuaries, data scientists and engineers at the forefront of using data to drive decisions at every level of our organization. The insurance industry is undergoing a transformation and you get to be in the driver’s seat of this data-driven, technology revolution. You will work on impactful projects that range from predicting customer life-time values and optimizing customer journeys to incorporating novel data sources for building cutting-edge pricing algorithms. You will leverage machine-learning algorithms to automate and predict claim outcomes and find new and innovative ways to impact our customers. This team is exploring the frontiers of the insurance business such as how to harness the data from connected homes and cars to deliver new types of products to customers. As a senior data-scientist, you will be part of a dynamic small team with exposure to different business partners and direct influence on future products and innovative solutions. You will propose machine-learning and statistical models for practical applications that impacts millions of customers. You will also mentor and guide your peers in novel approaches and provide peer review for their work. The team has already developed algorithms used in production systems and you will be part of the team that expands the scope of these algorithms. This is your chance to join the InsureTech revolution! What you need to succeed As a data-scientist, you will need the following skills and experience to succeed in the role: An educational background in computer-science or engineering, math, statistics, physics or related field. A minimum of MSc is required and Phd preferred. 5+ years of experience with model development and working with large datasets. This can include experience from any industry or academia (post-doc experience). 5+ programming experience in Python or R with good grasp of software engineering standard methodologies such as code-reusability, modularity, use of repos, etc. What sets you apart A growth mindset with versatile skills and able to work through problems from first-principles. A portfolio of projects that demonstrate your ability to draw inferences from data. This includes participation within the broader data science community including Kaggle competitions or any personal projects with open data. A can-do teammate who is willing to roll-up the sleeves and do whatever is needed to move projects forward. That means at times you will wear different hats and be a project manager, developer, modeler and chief communicator of solutions. Amazing people skills and able to translate and communicate complex algorithms to non-technical individuals. Someone who understands that it is not enough to just have a phenomenal algorithm but meaningful to build an agreement for the solution from different partners. The best problems in the industry are yet to be articulated. We need someone who is creative, self-motivated and can lead projects independently. Aviva Canada is committed to providing accommodations for people with disabilities during all phases of the hiring process including the application process. If you require an accommodation because of a disability, we will work with you to meet your needs. Applicants need to make their needs known in advance. If you are selected for an interview and require an accommodation, you are encouraged to advise the Talent Acquisition Partner who will consult with you to determine an appropriate accommodation." Associate Data Scientist,"Orlando, FL",Darden,"JOB OVERVIEW: The Associate Data Scientist works with team to wrangle, model, interpret, and visualize large volumes of data. Serves as an internal consultant to business leaders by conducting regular and ad-hoc analyses to convert data into strategic assets. Performs data analysis through the use of various data-mining and statistical techniques in order to gain insights from data to support business priorities. Supports projects including customer segmentation, marketing and promotional campaigns, operations enablers, and various market-growth initiatives. ROLES AND RESPONSIBILITIES: Wrangles large amounts of data from multiple sources Cleanses and prepares data for modeling and analysis Uses the correct data mining approach to solve business problems including customer segmentation, marketing and promotional campaigns, operations enablers, and various market-growth initiatives Appropriately evaluates model results and iterates as necessaryConsults on internal database(s) in collaboration with business partners (e.g., IT, Marketing) to ensure data quality Efficiently and accurately produces data reports, visualizations, and insights to meet the needs of business partners REQUIRED TECHNICAL SKILLS: Minimum of 2+ years' experience using data mining tools and advanced analytical methods in a business environment or advanced technical degree Proficiency with relational database systems Proficiency and proven experience with techniques in accurately joining large data sets from multiple sources and manipulating data to desired format Experience with data visualization Strong analytical and problem solving skills with a solid understanding of businessExperience in one or more statistical programming languages (R, Python, SAS, SPSS) REQUIRED EDUCATION: Bachelor's degree in Economics, Statistics, Applied Mathematics, Computer Science, Management Information Systems or a related field OTHER KEY QUALIFICATIONS: Demonstrated ability and proven results exemplifying initiative, project management skills, and accuracy/detail-orientation Ability to work independently and with teamExtremely curious about data Strong organizational and prioritization skills Strong written and verbal communication skills Strong desire to learn new data mining languages and techniques PREFERRED SKILLS AND EXPERIENCE: Knowledge and proficiency in RMaster's degreeBrings unique knowledge or expertise to team in some aspect of advanced analytics (e.g.; statistics, uplift modeling, marketing mix models, econometric modeling, predictive modeling, machine learning, etc.) Demonstrated ability to summarize and present complex analytics to senior leadership" Senior Data Scientist - AI Accelerator,"Los Angeles, CA 90064 (Sawtelle area)",Riot Games,"AI Accelerator is Riot's artificial intelligence and machine learning research team. Our mission is to accelerate the pace of building AI and ML as a core capability at Riot, and tackle AI challenges that push the boundaries for gaming of tomorrow. As a Senior Data Scientist on AI Accelerator, you will report to the head of AI research. You will combine your wide technical expertise across AI, ML, data processing, and mathematical modeling to push forward the AI research in gaming. You will partner with Data Science and Engineering teams across Riot to dive into projects that focus on differentiating product impact. You will create reusable frameworks and platform and establish technical standards to empower teams across Riot to solve high-impact and complex technical challenges with the power of AI and ML. The applied and fundamental AI research will range from reinforcement learning in various environments, game theory in competitive and collaborative games, optimization frameworks for distributed deep learning, procedural content generation, and new possibilities for games of tomorrow. You will work across products to influence product vision, technical designs, and other scientists' development across an organization. You will provide other data scientists with a north star of ""what extraordinary AI research should look like"". ----------------- Responsibilities: ----------------- Research and prototype AI across a wide spectrum of problem spaces for games in various genres. Inform and contribute to the development of the distributed AI frameworks and standards at Riot. Guide and empower teams across Riot to solve high-impact and complex technical challenges with AI and ML. Identify new product opportunities and collaboratively develop them with partners. Improve team's technical craft with peer reviews, paper reading, and tech prototyping. ------------------------ Required Qualifications: ------------------------ 2+ years experience in reinforcement learning in several forms 3+ years experience in deep learning frameworks (PyTorch, Keras, or TensorFlow) 6+ years research or industry experience in AI, ML, or related fields 1+ years experience setting up and using cloud infrastructure (e.g., GCP or AWS) Experience in partner management Advanced degree in AI, ML, Computer Science, Statistics, Mathematics, or related field ----------------------- Desired Qualifications: ----------------------- 2+ years experience working on games or with a game development team Familiarity with traditional game AI Ph.D. in AI, ML, Computer Science, Statistics, Mathematics, or related field Our Perks: We offer medical, dental, and vision plans that cover you, your spouse/domestic partner, and children. Life insurance, parental leave, plus short-term and long-term disability coverage are also available. Riot will support your retirement benefits with a company match, and double down on your donations of time and money to non-profit charitable organizations. Balance between work and personal life is encouraged with open paid time off, and a play fund so you can broaden and deepen your personal relationship with games. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about the experiences of players, this could be the role for you! === It's our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history (LAMC 189.00)." Data Scientist,"Hunt Valley, MD 21030",ZeniMax Media Inc.,"Job Description: Global video game publisher/developer headquartered in Rockville MD, seeks an entry Level Data Scientist to join the Enterprise Business Intelligence team in Hunt Valley, MD. This position works within the Enterprise BI Team and is responsible for the reporting and analytics for game, customer, and business data. The Data Scientist will be focusing on supporting analytic needs from all facets of the business, including e-commerce, finance, and game event data. The incumbent will have at least 1-2 years of relevant experience partnering with both technical and business teams to facilitate analytics and reporting. The Data Scientist will be responsible for validating incoming data, facilitating creation of reports, aiding advanced Data Scientists in analytics, making sure reports align with business requirements, and confirming that internal and external developed systems properly meet the need of populating said data models." Data Scientist - Bomoda,"New York, NY 10022 (Midtown area)",Powell Tate,"Bomoda is looking for a Data Scientist to join our team in New York! We Are Seeking: As a data scientist at Bomoda, you would be directly involved with the product team including computer scientists and data analysts, eliciting information from multiple data platforms and using that data to identify relevant and actionable trends and/or concepts. The product goal is to understand consumer behavior to better detect market conditions as well as the general perception of brands What You Will Be Doing... Help define and scope work required to build and maintain ML systems and models Ensure the quality and robustness of such models Oversee any and all data science platform changes and feature development Work with other technology and business stakeholders to identify areas where data science features are required Work with other technology stakeholders to identify and implement best practices for data management Work with integration teams to scope out new data sets for training as well as oversight of integration development within the data science team. Research approaches in data science that address problems outlined by the data science lead Work with other technology stakeholders to implement best practices for data management What We Are Looking For... 2-5 years data science experience in Python, Apache Spark, Tensorflow, Scikit-learn, pandas. Natural language processing techniques Machine-learning techniques Knowledge of Big Data Architectures and AWS environment (Hadoop/Hive, Bigquery, S3, EC2, EMR, etc.) Strong programming experience Experience with SQL and/or NoSQL Masters or PHD is a plus. Multilingual fluency / literacy is a plus Bomoda is proud to be an Equal Opportunity/Affirmative Action employer. Weber Shandwick recruits qualified applicants without regard to race, color, religion, gender, age, ethnic or national origin, protected veteran status, physical or mental disability, sexual orientation, gender identity, marital status or citizenship status." People Data Scientist,"Santa Clara, CA",Palo Alto Networks,"Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. We have the vision of a world where each day is safer and more secure than the one before. These aren’t easy goals to accomplish – but we’re not here for easy. We’re here for better. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Your Career The People Analytics team partners with the business and people leadership to guide decisions on our most important asset, our people. In this journey we strive to deliver insights, connecting people, performance to business outcomes focusing on recruiting, employee engagement, organization health, and workforce planning. As a People Data Scientist, you'll be a highly valued thought partner for stakeholders within the People organization and the business; an expert problem solver utilizing quantitative and qualitative methods to get things done. You will be detail-oriented, diligent, analytical and curious. You’ll be someone who wonders ""What if?"", then seeks out the solution. You’ll commit to helping implement and measure the effectiveness of the solutions in real time, iterating as needed. You will play a pivotal role in guiding the organization to think through how to better attract, retain, develop and motivate talent as the organization continues to grow. Your knowledge of People data, along with deep business context, will enable you to shape and deliver deep insights guiding the People organization and Business Leaders to make thoughtful people decisions. Your Impact Partner with cross-functional teams to support ongoing people initiatives Apply your expertise in hypothesis testing, statistical modeling, model deployment, and data visualization to guide evidence based decisions Leverage data mining and machine learning techniques to build and tune models, unify data sources and datasets from across the employee lifecycle to test hypothesis, enhance our understanding of employee behaviors Present to a wide range of audiences (technical and non-technical) predictive and prescriptive analyses, explaining the insights and the key business drivers and making recommendations with trade-offs & implications Work with IT to build/deliver scalable solutions (model deployment and dashboard) to measure the impact of models and solutions Mentor team members on the application of statistical methods and solution design Your Experience Master’s degree in Economics, Statistics, Social Science, I/O Psychology, Finance, Computer Science, or another field that uses quantitative analysis or equivalent practical experience. 3+ years of experience managing and analyzing structured and unstructured data 2+ years of experience using Tableau, Alteryx, SQL, R, Python, STATA, SAS, etc Experience applying statistical methods (e.g., correlations, regressions, A/B testing, GLM, decision tree, random forest, etc) Experience with databases, such as Hive, SAP, Redshift, Google Cloud Platform Experience with Workday, CultureAmp, a plus Comfortable dealing with ambiguity and thriving in a fast pace environment Excellent communications skills and solutions. Client service-oriented with an emphasis on creativity and diligence Ability to work collaboratively in a team environment You enjoy shaping ideas and driving execution The Team Our People team at Palo Alto Networks works throughout the organization to enable...you guessed it, people. We’re one team – driven to one mission statement. Each piece matters, and within the people team, you are focused on enabling our teams to resolve the world’s most challenging cybersecurity threats. You will be part of a growing, passionate, and dynamic team with an opportunity to work on challenging and exciting projects – centered on what we believe is one of the most significant mission statements in the world. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com." Data Scientist,"Dallas, TX 75215",Walmart,"Position Description Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans Develops analytical models to drive analytics insights Leads small and participates in large data analytics project teams Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity Participates in the continuous improvement of data science and analytics Presents data insights and recommendations to key stakeholders Provides and supports the implementation of business solutions Minimum Qualifications Bachelor of Science and 2 years' data science experience OR Master of Science and 1 year's data science experience. Additional Preferred Qualifications 4 years' experience with SQL and relational databases (for example, DB2, Oracle, SQL Server). 4 years' experience with statistical programming languages (for example, SAS, R). Bachelor's degree in Statistics, Economics, Analytics, Mathematics and 7 years' experience in an analytics related field. Certificate in business analytics, data mining, or statistical analysis. Doctoral degree in Statistics, Economics, Analytics, or Mathematics and 1 year's experience in an analytics related field. Master's degree in Statistics, Economics, Analytics, or Mathematics and 3 years' experience in an analytics related field. Company Summary What started small, with a single discount store and the simple idea of selling more for less, has grown over the last 50 years into the largest retailer in the world. Each week, over 260 million customers and members visit our 11,695 stores under 59 banners in 28 countries and e-commerce websites in 11 countries. With fiscal year 2017 revenue of $485.9 billion, Walmart employs approximately 2.3 million associates worldwide. Walmart continues to be a leader in sustainability, corporate philanthropy and employment opportunity. It's all part of our unwavering commitment to creating opportunities and bringing value to customers and communities around the world." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Scientist,"Irvine, CA","CorVel Enterprise Comp, Inc.","The data scientist is a role within the Analytics Team and reports to the Director of Analytics. This role will play a pivotal role in planning, executing and delivering machine learning-based projects. The bulk of the work will be in machine learning (ML) modeling, management, and problem analysis, data exploration and preparation, data collection and integration, operationalization. Candidates need to be very much self-driven, curious, and creative. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES: Scope data science projects and the corresponding key performance indicators (KPIs) for success. Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science. Understand new data sources and process pipelines, and catalog/document them. Assist in creating data pipelines for more efficient and repeatable data science projects. Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA). Network with domain experts to better understand the business mechanics that generated the data. Apply various ML and advanced analytics techniques to perform classification or prediction tasks. Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing. Testing of ML models, such as cross-validation, A/B testing, bias, and fairness. Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options. Continuously monitor the execution and health of production ML models. Guidance around best practices around ML production infrastructure. Upskill yourself (through conferences, publications, courses, local academia, and meetups). Encourages and builds mutual trust, respect, and cooperation among team members. Additional projects and duties as assigned KNOWLEDGE & SKILLS: Mathematics, statistics and data analysis. Excellent written and verbal communication skills. Ability to find resources and data both within the organization and external to it. Ability to understand business objectives and interpret them independently and transition into work product, gleaning information and insights from data to help the team achieve business objectives. Substantial coding knowledge and experience in several languages: for example, R, Python/Jupyter, SQL, Scala, C#, etc. Experience of working across multiple deployment environments including cloud, on-premises, and hybrid. Ideally, experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Jupyter, Spark / Databricks, Microsoft AzureML. EDUCATION/EXPERIENCE: A bachelor’s or master’s degree (preferred) in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field. Alternate experience and education in equivalent areas such as economics or engineering is acceptable. Experience in more than one area is strongly preferred. Candidates must have a specialization in ML, AI, cognitive science or data science. Candidates to have three to six years of relevant project experience in successfully planning & executing professional data science projects. Ideally, the candidates are adept in agile methodologies and well-versed in applying DevOps/MLOps methods to the construction of ML and data science pipelines. Ideally, candidates should exhibit significant project experience in applying ML and data science to business functions such as financial risk analytics, insurance, marketing analytics, quality assessment, e-commerce platforms, process control, target marketing, etc. All candidates must be eligible to work in the United States without VISA sponsorship We are an Equal Opportunity Employer. All persons shall have the opportunity to be considered for employment without regard to their race, color, age, sex, gender, religion, national origin, ancestry, citizenship status, physical or mental disability, military service, veteran status or any other characteristic protected by applicable federal, state or local law. We will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this application or to participate in an interview, please let us know. Note to Employment Agencies: Please do not forward agency resumes. CorVel Corporation is not responsible for any fees related to unsolicited resumes. Please be aware that CorVel generally does not review all applications/resumes submitted in response to job openings posted on the Internet because of the large volume of responses" Machine learning engineer,"Los Angeles, CA",BusinesStaff,"JOB ID: MLLA2-27 A unique and innovative company located in Los Angeles is seeking a Machine Learning Engineer to join the AI group. Machine understanding of sports forms the foundation of all the products they deliver, which are used by coaches, broadcasters, and fans. Machine Learning engineers are involved in data extraction, developing state-of-the-art models/algorithms, training and evaluation. The company is building the next way of seeing sports through unparalleled capabilities in machine understanding of sports. They produce the most accurate tracking data with the fastest high-quality output by leveraging the most automated and extensible solution in the market. They are the official tracking and analytics partner of the EPL and NBA. They also work with other top basketball and soccer (football) leagues and clubs around the world. REQUIREMENTS:Work experience (7+ years of direct, relevant experience) or graduate degree in machine learning.A solid CS foundation (data structures, object oriented design, modern software engineering practices).Understanding of the mathematical underpinnings of machine learning/statistical algorithms.Experience in python and machine learning libraries (cikit-learn, tensorflow, keras).Data build technologies - AWS, postgres.Data extraction, cleansing, and normalization. Highly competitive salary and exceptional benefits package offered." "Data Scientist, SBG","Menlo Park, CA",Facebook,"The Small Business Group (SBG) contributes directly to Facebook’s mission by connecting small businesses with their customers and helping them grow through solutions like pages, advertising, and offers. We succeed when we help our customers grow their business. The SBG team is searching for a Data Scientist. The Data Scientist will use data analysis to understand customer profiles, produce reports to track our business, build models to provide insight into the Small Business customer base, identify opportunities, and impact the strategy of our Product, Marketing, and Sales teams. Ideal candidates love breaking down problems, building solutions, delivering actionable and data-driven insights, and working in a fast-paced, dynamic environment. DATA SCIENTIST, SBG RESPONSIBILITIES Take advantage of massive amounts of structured data to understand how our customers interact with our product and service offerings Proactively identify opportunities to improve the experience of businesses on the Facebook family of apps using data science Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques Design and execute experiments (e.g., A/B testing, multi-armed bandit) Effectively communicate insights and recommendations to business leads and influence strategic decision-making Frequently switch between on-the-ground tactical execution and 30k foot strategy MINIMUM QUALIFICATIONS BA/BS in a quantitative discipline like Math, Statistics, Economics, Computer Science, Physics, Engineering, Operations Research, or equivalent training 2+ years of experience in a data science capacity in a business strategy, marketing, finance, engineering, or analytics organization Experience with data querying and manipulation using SQL, Python, or R Experience with experimental design Experience with data analysis and statistical modeling using the R or Python ecosystems, with packages such as pandas, statsmodels, scikit-learn, tidyverse (dplyr, ggplot2, etc.) Communication and presentation skills PREFERRED QUALIFICATIONS An MBA or Master’s or Doctorate degree in a quantitative discipline like Math, Statistics, Economics, Computer Science, Physics, Engineering, Operations Research Self-starter, comfortable with ambiguity, ability to initiate and drive projects with minimal oversight and guidance Proven track record of leveraging data to deliver business value and present data-driven insights to business audiences Experience building cross functional relationships across a variety of functions to launch projects to drive business value Experience communicating with and influencing technical and non-technical audiences (engineers, data scientists, program managers, marketers) Experience developing data pipelines via SQL and Python-based ETL framework Experience shipping code into production Experience writing testable code Comfortable using version control tools such as git or mercurial Experience with Small Business landscape and/or online marketing and advertising Experience working with or in support of diverse communities Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com." Data Scientist,"Newport Beach, CA 92660",Evolus,"Evolus is a performance beauty company with a customer-centric approach focused on delivering breakthrough products. We are seeking an experienced, collaborative Data Scientist. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops analysis tools which will influence both our physicians and consumers. This is a great opportunity for someone who enjoys a fast-paced, ever-changing environment, new challenges, evolving their skills and improving processes. If you are looking for an opportunity to showcase your abilities while growing your knowledge, then look no further! In this role, you will be challenged to drive the success of Evolus in an effort to build a brand like no other. Let’s talk about some of the key responsibilities of the role: Collaborate with product management and engineering departments to understand company needs and devise possible solutions Design Data Acquisition Strategy Research and develop statistical learning models for data analysis Keep up-to-date with latest technology trends Communicate results and ideas to key decision makers Implement new statistical or other mathematical methodologies as needed for specific models or analysis Optimize joint development efforts through appropriate database use and project design Skills and Qualifications Required for this Dynamic Team Member: Master’s Degree in Computer Science, Statistics, Applied Math or related field 7+ years’ practical experience with SAS, ETL, data processing, database programming and data analytics Extensive background in data mining and statistical analysis Able to understand various data structures and common methods in data transformation Excellent pattern recognition and predictive modeling skills Experience with programming languages such as Java/Python an asset Experience with SFDC is a plus A Few Other Items Worth Mentioning: Office location – Newport Beach, CA This position reports directly to the Vice President, Loyalty Travel may be required Evolus takes pride in being a company on the forefront of innovation, while being committed to conducting its business with the highest degrees of integrity, professionalism, and social responsibility. We are also committed to complying with all laws and regulations that apply to our business. Employee welfare is no different. Here at Evolus, we don’t just work together, we’ve built a culture of inclusion! Because of this, you’ll find yourself immersed in an environment that not only promotes respect, collaboration and team building, but a community too (hello, Taco Tuesdays). And that’s just the tip of the iceberg. Don’t believe us? Join our team and see for yourself! EOE M/F/D/V. For more information, please visit our website at www.evolus.com." CRM Data Scientist- Apple Retail,"Santa Clara Valley, CA 95014",Apple,"Summary Posted: Feb 25, 2020 Weekly Hours: 40 Role Number:200152451 The people here at Apple don’t just build products — we craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Do you love problem solving and thinking beyond an obvious solution? Do you thrive in ambiguity and teams where little direction should fuel your creativity? The Apple Retail Data Sciences team provides insights through Data analytics and Predictive modeling. We are looking for an experienced CRM Data Scientist to partner closely with the business to provide strategic insights and support informed decisions. You will be excellent at performing customer cohort analyses, segmentation, building propensity models, and develop dashboards towards sharing insights with business partners. Key Qualifications Expert experience in panel data, statistical models (survival analysis, trial-repeat models, propensity scoring), customer segmentation, and multivariate testing. Solid technical database knowledge (e.g., Teradata, McQueen, Hadoop) and experience optimizing SQL queries on large data. Proficiency in R or Python. Abilities to build and maintain packages a plus. Familiarity with data visualization tools (e.g., Tableau). Excellent problem solving and critical thinking. Ability to communicate complex analyses to a non-technical audience. Familiarity with CRM a plus. Description To be successful in this position, you should be a self-starter, driven, accountable and a highly upbeat teammate. You will work cross-functionally on multiple projects end-to-end and advance them on a tight schedule. Education & Experience Minimum Bachelor’s degree in Statistics, Mathematics, Economics, or other quantitative disciplines. Masters or PhD preferred." Data Scientist,"Redwood City, CA 94065 (Dolphin area)",Perfect World Entertainment,"The Data Scientist provides data-driven insights related to several of Perfect World’s services and products, including our popular games and the global game publishing platform. He/she identifies the opportunities that would help improve the user acquisition, retention and monetization of our games. Ideal candidates will have a deep understanding of statistics and machine learning algorithms, experience working with large datasets, and an ability to communicate actionable insights directly to non-technical audiences. Key Qualifications 2 years of industry experience in a Data Science or Analytics role. Experience with visualization software. Working knowledge of SQL and Python/R. Working experience of Machine Learning and predictive analytics. Familiarity with the Hadoop framework, including the ability to interact with data through Hive, Pig, or MapReduce preferred. Strong communication skills, both written and oral, and an ability to convey complex results in a clear manner. Data Science or Analytics experience in gaming or marketing strongly preferred. Education Major in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience." Data Scientist,"Sioux Falls, SD 57104",CAPITAL Services,"CAPITAL Services provides end to end servicing for financial institutions nationwide. We are growing and looking for a Data Scientist who will be responsible for developing predictive models for acquisition strategies, performing risk monitoring and validation reporting. Under direction of our Portfolio Analytics and Risk Director, the Data Scientist will have the opportunity to grow their analytic skill set while providing real value for the company. The ideal candidate should be naturally inquisitive with a passion for using data and analytics to make smarter decisions. At CAPITAL Services Data Scientists:Develop predictive models to optimally match our products to prospect customers Design and analyze tests to maximize value for our clients and customersDevelop reporting to monitor key risk indicators and key performance indicators including ongoing tracking and trend reportingAssist with maintenance and updates of policy and strategy documentation Skills/ Qualifications: An advanced degree in a quantitative field is desired (Statistics, Mathematics, Economics, Computer Science etc.). Demonstrated ability in developing and evaluating predictive modelsExperience with statistical modeling software: SQL, SAS, R, etc.Ability to work in a team but also motivated to work independently Effective communication, both written and oralKnowledge of credit industry is a plus but not required At CAPITAL Services, you can expect:Objective, data-driven team environment Complex problem solving opportunitiesFlexible work environmentContinuous professional developmentPerformance incentive pay and comprehensive benefit packageCommunity Involvement To apply, please click on the apply button above and use the navigational buttons to complete the application process." Data Scientist,"Parkville, MO 64152",Evolytics,"EVOLYTICS OVERVIEW Evolytics is evolving analytics by inspiring people to use data in ways that make a difference in the world. With a focus on optimizing consumer experiences and strengthening business growth, Evolytics works with world-class brands to support data initiatives that span the data lifecycle. Capabilities include: Measurement Strategy & Planning, Data Audits, Analytics Implementation Services, Data Engineering, Reporting & Analysis, Data Visualization, Testing & Optimization, Data Science, and Customized Training. Job responsibilities include: As a Data Scientist at Evolytics, you will collaborate with client teams to help enterprise organizations improve their marketing, products, and processes. You’ll have the opportunity to be a thought leader in the analytics industry and to work on cutting edge projects where you’re building innovative, end-to-end solutions alongside a team. Your day-to-day tasks may include: Listening to client business problems and recommending an analysis method Cleanse and prepare large datasets for analysis Conduct statistical analysis, including regression, decision tree, cluster analysis, t-test, correlation, etc. Develop and refine machine learning models Interpret analysis findings, focusing on business implications and recommended optimizations and next steps Organize and present analysis approach and findings to clients, including both statistically minded analytics audiences as well as non-statistical audiences Collaborate with data engineers to automate data pipelines Document results and process for internal and client knowledgebases What experience would we like to see? BS/MS degree in marketing, statistics, computer science, behavioral science or a related field 2+ years' experience with conducting data analysis on large data sets, via Python, R, SQL, SAS, Alteryx, or other statistical analysis tools 2+ years' experience communicating statistical results in a business setting Strong analytical skills and data-driven thinking Legally authorized to work in the United States without company sponsorship now or in the future OTHER EXPERIENCE THAT IS HELPFUL, BUT NOT REQUIRED Creating and preparing databases and tables for predictive modeling and data science applications Experience in big data environments such as AWS and Hive CULTURE What’s it like to work at Evolytics? It’s being challenged by your analytics-passionate co-workers to push the envelope. It’s constantly learning and sharpening your skill set. It’s working toward that next “aha” moment with a client when you deliver a fantastic data-derived golden nugget. It’s having a blast with the team while you perfect your craft and get to do work you love. Perks: Relaxed work environment: casual dress code, pool/ping pong table, treadmill desks Collaboration-oriented office space with plenty of room for working sessions or potlucks Awesome team building events like a day at the Royals game or mini-golf with margaritas Food…weekly lunches, daily snacks, fruits, beverages, unlimited coffee Learning opportunities: company-provided training, conferences and super-smart co-workers BENEFITS Competitive Benefits Package including Health, Dental, Vision, and Life Insurance Great Compensation Package with Paid Time Off, Performance Bonuses and IRA Matching Contributions Opportunity to work alongside amazingly fun people who are passionate about delivering awesome in everything they do. Consideration will be given to qualified candidates with varying levels of experience, with compensation commensurate with experience. Awesome people make powerful teams. Let’s do great things together!" CORE - Data Scientist,"Seattle, WA 98115 (Ravenna area)",Logic20/20,"Data Scientist Seattle, WAAbout the Role. . . This role requires an in-depth understanding of statistics, as well as basic programming and data management skills. Success will require strong statistical problem-solving skills and the ability to leverage cutting-edge big data technologies. You like to . . . Create frameworks to predict a variety of outcomes in different scenarios Create models of customer satisfaction that provide detailed insight into what causes a customer to take different actions Collaborate with other data scientists and stakeholders on projects You’re Good At Researching and designing statistical models to answer target questions, optimizing processes and outcomes, and informed decision-making Developing solutions in R or Python Developing production grade solution is a huge plus Working in Hadoop, Redshift, or Spark Translating business and product questions into analytics projects Communicating clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights Qualifications. . . Good Knowledge of SQL (3+ years) creating advanced queries in a high impact role. Must have experience with Web Analytics. Knowledge of Statistics and Machine Learning techniques. 3+ years building statistical models/evaluating/Feature selection in a high impact role. Knowledge of the latest NLP techniques Masters in Stats, computer science or related field Knowledge of R or Python (3+ years) Knowledge of C# (at least 1 year) Experience building data pipelines A portfolio of NLP projects to showcase and discuss Experience in marketing analytics, attribution modeling, or click-stream data analysis MS / PhD in Machine Learning, Statistics, Computer Science, Data Mining, Math or any quantitative discipline About Logic20/20. . . Logic20/20 is one of Seattle’s fastest growing full-service consulting firms. Our core competency is creating simplicity and efficiency in complex solutions. Although we make it look like magic, we succeed by combining methodical and structured approaches with our substantial experience to design elegant solutions for even the most intricate challenges. Our rapid growth is in response to our ability to deliver consistently for our clients, which is directly related to the quality of the people we hire. The past four years, we’ve been in the top 10 “Best Companies to Work For” ….. why? Our team members are highly self-motivated, comfortable conceiving strategies on the fly, and enjoy working both individually and as part of a team. Our environment is very high-energy and demanding, and individuals with remarkable enthusiasm and a can-do attitude are joining our team. We have lots of fun, focus on our employees and our clients, and work to bring our best to every opportunity." Data Scientist (Data Science),"Annapolis Junction, MD 20701",BOEING,"At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, you’ll learn and grow, contributing to work that shapes the world. Help create the ground station of the future for unmanned vehicles. Find your future with us! The Boeing Company is seeking a highly-skilled, innovative Data Scientist to join its industry-leading Enterprise Insider Threat Program group located in Annapolis Junctions, MD. The candidate will work closely with a skilled team of analysts, software engineers, and investigators. The data scientist will design, develop, test, deploy, and maintain new and existing, innovative analytical capabilities and products to support the mission of The Boeing Company’s Insider Threat Program: to identify, detect, assess, investigate, manage, and mitigate potential insider threats. This position may offer remote work from the Annapolis Junction site, upon meeting qualifications. Responsibilities may include but are not limited to the following: Employs extensive and specialized knowledge in data analysis algorithms including: data mining, inferential statistics, mathematical optimization, machine learning, natural language processing, text mining, and visual analytics Works independently to learn the mathematical and statistical approaches and models already employed by The Boeing Company’s Insider Threat Program, and create and adapt new models to support their insider threat mission Maintains extensive and specialized ability to design and create new algorithms for the analysis of data to identify potential insider threats Demonstrates proficiency in evaluating the performance of existing algorithms, and makes improvements to enhance the fidelity and accuracy of them Thoroughly assesses business requirements to select appropriate algorithms and create descriptive statistical and mathematical models to solve analytical problems using insider threat data in support of the program’s mission Evaluates and validates correctness of complex models and analysis; assesses and confirms performance of models and analytical products; and evaluates and validates that models meet business objectives Performs preparation of complex data for analysis (e.g. cleansing, conditioning, transforming, filling in missing fields, identifying new feature variables and handling multi-variate data); organizes data for analysis appropriate for the volume of structured and unstructured data; identifies potential trouble areas and suitability of data and provides mitigation recommendations Interprets the outputs of complex data analysis to translate into actionable results and visualize meaningful trends and patterns Understands the insider threat mission in order to set goals that align with the Program’s mission (an understanding of cognitive learning and human behavior is a plus) Engages with other data scientists in the field and stays current on published works in the field of data analytics including predictive Security Clearance and Export Control Requirements: This position requires an active Secret U.S. Security Clearance. (A U.S. Security Clearance that has been active in the past 24 months is considered active.) Required Qualifications: Strong communicators capable of communicating, advising, and collaborating clearly, concisely, and consistently with team members, partners, customers, and business stakeholders Strong background in analytical languages, techniques, and tools (preferably R Programming, RStudio, R Shiny) Preferred Qualifications: Independent self-starters Detail-orientated Experience working in geographically-dispersed teams. Maintain a thorough understanding of corporate security and the insider threat problem domain and associated technologies and analytical methodologies Typical Education/Experience: Education/experience typically acquired through advanced technical education (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+4 years' related work experience, Master+7 years' related work experience, 13 years' related work experience, etc.) Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Associate Data Scientist,"New York, NY",Edelman,"Associate Data Scientist - (200299) Edelman Intelligence is seeking a Senior Data Scientist. The person in this role is expected to help drive Advanced Analytics client work, bringing together expertise in statistics, programming, and the communication of analytical insights. This person will contribute significantly towards client deliverables, help develop new analytical approaches and offerings, and mentor more junior team members. Responsibilities: Assist in the leadership of day to day project execution, including client deliverables, status updates, and project management Efficiently manage data from disparate sources, distilling into datasets prepared for modeling Execute statistical models to support client projects, including marketing mix modeling, attribution, and purchase funnel analytics Prepare client facing material (example: PowerPoint slides and charts), distilling analytical insights effectively into stories for EI clients Develop standardized code and processes that can be easily used by the larger team Support senior staff in the development of client proposals Mentor junior analytics team members and provide training on analytical offerings throughout the organization Qualifications: Academic background in econometrics or applied statistics and related technologies, including statistical concepts, (example: Time-Series Regression, Logistic Regression, Factor Analysis) Comfortable with prepping and visualizing data Experience in statistical programming in R, SAS, or Python–experience in more than one language is a preferred Excellent organizational and communication skills, coupled with the ability to adapt to new conditions, assignments and deadlines Knowledge of marketing, market research About Us Edelman is a global communications firm that partners with businesses and organizations to evolve, promote and protect their brands and reputations. Our 6,000 people in more than 60 offices deliver communications strategies that give our clients the confidence to lead and act with certainty, earning the trust of their stakeholders. Our honors include the Cannes Lions Grand Prix for PR; Advertising Age’s 2019 A-List; the Holmes Report’s 2018 Global Digital Agency of the Year; and, five times, Glassdoor’s Best Places to Work. Since our founding in 1952, we have remained an independent, family-run business. Edelman owns specialty companies Edelman Intelligence (research) and United Entertainment Group (entertainment, sports, lifestyle). Click here to view a short video about life at Edelman. Edelman is an equal opportunity employer of all protected classes, including veterans and individuals with disabilities. Job Research and Analytics Primary Location United States-New York Job Type Experienced Schedule Full-time Job Posting Feb 21, 2020, 11:23:45 AM" Data Scientist,"Honolulu, HI 96813",Central Pacific Bank,"Position Function: As an experienced member of our Management Reporting and Analysis team, we look first and foremost for people who are passionate about solving business problems through innovation & analytics. Responsibilities include performing statistical analysis, data mining and retrieval processes on internal and external data to identify trends and other relevant information to solve or address a variety of business problems, optimize business performance and gather business intelligence. Performs all duties and interacts with internal and external customers in a manner aligned with the Company's Core Values of Teamwork, Integrity and Exceptional Services (TIES); Customer Experience Competencies of Customer Interaction, Empowerment and Ownership; and Basic Skills of Listening, Oral Communication, Written Communication, Action Orientated, Thoroughness, Problem Solving.Minimum Qualifications: Education:Bachelor's Degree in advanced financial engineering or statistics focused subject from an accredited 4-year university requiredMaster’s Degree or PhD in quantitative discipline preferred Experience:5+ years of financial engineering or statistics focused Competencies:Achieving Results - Drive for ResultsCommunication & Influencing - Influencing OthersOperating Skills - Diagnostic Information GatheringOperating Skills - OrganizingOperating Skills - Priority SettingStrategic Skills - Dealing with AmbiguityStrategic Skills - Intellectual HorsepowerStrategic Skills - Strategic AgilityOperating Skills - Analytical ThinkingSelf-Management - Adaptability Knowledge, Skills & Abilities:Strong analytical skills including analysis, data collection, process mapping and troubleshooting for root causeAdvanced experience with R, Python, SAS or other statistical programming languagesStrong general technical ability, including proficiency in SQL or equivalent query language.Advanced experience with BI tools such as Tableau, Cognos, Excel Physical Demands:Must be able to perform light physical work and to move or lift items including but not limited to boxes, files and papers up to 20 pounds unless otherwise as indicated.Must be able to operate and proficiently use standard office equipment, including phone, copier, personal computer and/or other work related mechanical or electronic devices and applications.Must be able to clearly communicate verbally and in writing with all internal and external customers. Must also be able to hear sufficiently to engage in daily discussions and interactions.Must be able to read and understand bank-related documents. Must be able to work in a conventional office setting, involving sitting at a desk or workstation for long periods of time. Must also be able to adapt to different work environments as needed to perform the job." Data Scientist (Python),Remote,Applied Memetics LLC,"Overview: Applied Memetics LLC is seeking (1) experienced, motivated Data Scientist Manager and (4) Data Scientists (Python) to remotely support our VA customer. US citizenship or Green Card holder required. Responsibilities: Data Scientist Manager: The Data Scientist is responsible for undertaking data collection, preprocessing and analysis; building models to address business problems; presenting information using data visualization techniques. A Developer Level II must have experience in analyzing customer needs and developing overall concept and design objectives. The developer must be able to create software in a variety of programming and for a variety of IT software applications. Must have experience in debugging and correcting errors in computer programs. Data Scientist (Python): The Data Scientist is responsible for undertaking data collection, preprocessing and analysis; building models to address business problems; presenting information using data visualization techniques. A Developer Level I must have experience in the creation of error free software code under the direction and supervision of senior software development managers. Must have experience in both windows and web development environments. Must be able to write software documentation. Qualifications: Data Scientist Manager: Bachelor's degree in computer science, electronics engineering or other engineering or technical discipline is required. 8 years of additional relevant experience may be substituted for education Minimum of 5 years of experience in data science is required Python Sci-kits, NLP, Vision, Graph Databases, Machine Learning, Statistical modeling, OCR Data Scientist (Python): Bachelor's degree in computer science, electronics engineering or other engineering or technical discipline is required. 8 years of additional relevant experience may be substituted for education Minimum of 1-2 years of experience in data science is required Python Sci-kits, NLP, Vision, Graph Databases, Machine Learning, Statistical modeling, OCR" Data Scientist - Assistant Professor - VPA 2020/21 - 54,"San Diego, CA (College West area)",San Diego State University,"The Department of Mathematics and Statistics at San Diego State University invites applications for a tenure-track Assistant Professor position in Data Science, beginning in Fall 2020. Focused research areas include but are not limited to data analytics, computational statistics, statistical visualization, large-scale statistical analysis, and analysis of massive (big) data. Candidates must have a Ph.D. in Statistics, Biostatistics, or a closely related field, and demonstrate excellent teaching skills and outstanding research potential. Preference may be given to candidates in the focused research areas described above and to those who would be able to augment or interact with existing groups within the Division of Statistics. Candidates should demonstrate the potential and commitment to seek extramural funding. The successful candidate will have the opportunity to participate in our PhD program in Computational Science, as well as in our BS and MS programs in Statistics, Biostatistics, and Data Science. SDSU is a large, diverse, urban university and Hispanic-Serving Institution with a commitment to diversity, equity, and inclusive excellence. Our campus community is diverse in many ways, including race, religion, color, sex, age, disability, marital status, sexual orientation, gender identity and expression, national origin, pregnancy, medical condition, and covered veteran status. We strive to build and sustain a welcoming environment for all. SDSU is seeking applicants with demonstrated experience in and/or commitment to teaching and working effectively with individuals from diverse backgrounds and members of underrepresented groups. The College of Sciences is host to a large number of federally-funded minority training programs (described at https://casa.sdsu.edu/ ). Applications should include: a cover letter, curriculum vita, a statement of research program, and three letters of recommendation. Application materials should be submit via Interfolio. Review of applications will begin on November 15, 2019 and continue until the position is filled. This position may also be eligible for the SDSU Building on Inclusive Excellence (BIE) hiring program that creates additional faculty lines for candidates who meet two or more of the criteria listed in https://diversity.sdsu.edu/inclusion/BIECriteria . To be considered for one of these additional BIE hires, candidates should identify in their letter of application how they meet two or more of the criteria. A background check (including a criminal records check) must be completed satisfactorily before any candidate can be offered a position with the CSU. Failure to satisfactorily complete the background check may affect the application status of applicants or continued employment of current CSU employees who apply for the position. The person holding this position is considered a ""mandated report"" under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment. SDSU is a Title IX, equal opportunity employer and does not discriminate against persons on the basis of race, religion, national origin, sexual orientation, gender, gender identity and expression, marital status, age, disability, pregnancy, medical condition, or covered veteran status." Data Scientist,"Oakland, CA",Trace Data,"Trace Data is developing a ground breaking product to help companies monitor and secure their data. We're integrating the world of security, observability and connectivity. We're looking for people with a strong background or interest in building successful products and systems; you're comfortable in dealing with lots of moving pieces; you have exquisite attention to detail; and love learning new technologies and systems. As our Data Scientist, you will: Develop large scale machine learning algorithms that support monitoring, privacy and security capabilities. Own the machine learning algorithms that power core features in the product such as the identification of sensitive data, automated data classification and anomaly detection using unsupervised and deep learning techniques ranging from computer vision algorithms for pattern recognition to variational auto-encoders to NLP. Design, build, and launch efficient & reliable new data models, schemas and pipelines to enable analysis, modeling and machine learning. Partner with product managers, designers, and engineers to prototype and productize data mining features. Advise on best practices and statistical methods for measuring and evaluating experiments.You may be fit for this role if you: Have experience of building products from the ground up. Have a Bachelor's/Master's degree or higher in a technical field such as Computer Science, Statistics, Economics, Operations Research, Math, Physics or Engineering. Have a deep theoretical understanding of modern machine learning algorithms, statistical models or optimization. Have experience with data tools such as Python, R, SAS, SQL, etc and strong skills in data analysis, data visualization and engineering. Have the ability to own your modeling work from model development all the way to launching into production with minimal help from engineers. Have experience with MapReduce, Spark, Hive, HBase, Google BigQuery, BigTable is a plus. Experience ML frameworks like Tensorflow, PyTorch, Spark MLlib, XGBoost, and Scikit-Learn is a plus. You're a strong communicators; explaining complex technical concepts to product managers, data analysts, and other engineers shouldn't be a problem for you.About Trace Data Trace Data is an early stage startup founded in 2019 and headquartered in Oakland, California. We're backed by top tier investors including Accel and Kleiner Perkins. We're a highly cross-functional organization and encourage as much collaboration as possible. We have a culture of transparency that we carry through to internal communication, ensuring everyone has the information they need to make great decisions. We value humility, respect and diversity. We look for people who are curious, want to grow and have impact every day. Trace Data provides equal employment opportunities (EEO). All applicants are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation." Data Scientist,"Irvine, CA","CorVel Enterprise Comp, Inc.","The data scientist is a role within the Analytics Team and reports to the Director of Analytics. This role will play a pivotal role in planning, executing and delivering machine learning-based projects. The bulk of the work will be in machine learning (ML) modeling, management, and problem analysis, data exploration and preparation, data collection and integration, operationalization. Candidates need to be very much self-driven, curious, and creative. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES: Scope data science projects and the corresponding key performance indicators (KPIs) for success. Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science. Understand new data sources and process pipelines, and catalog/document them. Assist in creating data pipelines for more efficient and repeatable data science projects. Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA). Network with domain experts to better understand the business mechanics that generated the data. Apply various ML and advanced analytics techniques to perform classification or prediction tasks. Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing. Testing of ML models, such as cross-validation, A/B testing, bias, and fairness. Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options. Continuously monitor the execution and health of production ML models. Guidance around best practices around ML production infrastructure. Upskill yourself (through conferences, publications, courses, local academia, and meetups). Encourages and builds mutual trust, respect, and cooperation among team members. Additional projects and duties as assigned KNOWLEDGE & SKILLS: Mathematics, statistics and data analysis. Excellent written and verbal communication skills. Ability to find resources and data both within the organization and external to it. Ability to understand business objectives and interpret them independently and transition into work product, gleaning information and insights from data to help the team achieve business objectives. Substantial coding knowledge and experience in several languages: for example, R, Python/Jupyter, SQL, Scala, C#, etc. Experience of working across multiple deployment environments including cloud, on-premises, and hybrid. Ideally, experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Jupyter, Spark / Databricks, Microsoft AzureML. EDUCATION/EXPERIENCE: A bachelor’s or master’s degree (preferred) in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field. Alternate experience and education in equivalent areas such as economics or engineering is acceptable. Experience in more than one area is strongly preferred. Candidates must have a specialization in ML, AI, cognitive science or data science. Candidates to have three to six years of relevant project experience in successfully planning & executing professional data science projects. Ideally, the candidates are adept in agile methodologies and well-versed in applying DevOps/MLOps methods to the construction of ML and data science pipelines. Ideally, candidates should exhibit significant project experience in applying ML and data science to business functions such as financial risk analytics, insurance, marketing analytics, quality assessment, e-commerce platforms, process control, target marketing, etc. All candidates must be eligible to work in the United States without VISA sponsorship We are an Equal Opportunity Employer. All persons shall have the opportunity to be considered for employment without regard to their race, color, age, sex, gender, religion, national origin, ancestry, citizenship status, physical or mental disability, military service, veteran status or any other characteristic protected by applicable federal, state or local law. We will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this application or to participate in an interview, please let us know. Note to Employment Agencies: Please do not forward agency resumes. CorVel Corporation is not responsible for any fees related to unsolicited resumes. Please be aware that CorVel generally does not review all applications/resumes submitted in response to job openings posted on the Internet because of the large volume of responses" "Data Scientist, SBG","Menlo Park, CA",Facebook,"The Small Business Group (SBG) contributes directly to Facebook’s mission by connecting small businesses with their customers and helping them grow through solutions like pages, advertising, and offers. We succeed when we help our customers grow their business. The SBG team is searching for a Data Scientist. The Data Scientist will use data analysis to understand customer profiles, produce reports to track our business, build models to provide insight into the Small Business customer base, identify opportunities, and impact the strategy of our Product, Marketing, and Sales teams. Ideal candidates love breaking down problems, building solutions, delivering actionable and data-driven insights, and working in a fast-paced, dynamic environment. DATA SCIENTIST, SBG RESPONSIBILITIES Take advantage of massive amounts of structured data to understand how our customers interact with our product and service offerings Proactively identify opportunities to improve the experience of businesses on the Facebook family of apps using data science Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques Design and execute experiments (e.g., A/B testing, multi-armed bandit) Effectively communicate insights and recommendations to business leads and influence strategic decision-making Frequently switch between on-the-ground tactical execution and 30k foot strategy MINIMUM QUALIFICATIONS BA/BS in a quantitative discipline like Math, Statistics, Economics, Computer Science, Physics, Engineering, Operations Research, or equivalent training 2+ years of experience in a data science capacity in a business strategy, marketing, finance, engineering, or analytics organization Experience with data querying and manipulation using SQL, Python, or R Experience with experimental design Experience with data analysis and statistical modeling using the R or Python ecosystems, with packages such as pandas, statsmodels, scikit-learn, tidyverse (dplyr, ggplot2, etc.) Communication and presentation skills PREFERRED QUALIFICATIONS An MBA or Master’s or Doctorate degree in a quantitative discipline like Math, Statistics, Economics, Computer Science, Physics, Engineering, Operations Research Self-starter, comfortable with ambiguity, ability to initiate and drive projects with minimal oversight and guidance Proven track record of leveraging data to deliver business value and present data-driven insights to business audiences Experience building cross functional relationships across a variety of functions to launch projects to drive business value Experience communicating with and influencing technical and non-technical audiences (engineers, data scientists, program managers, marketers) Experience developing data pipelines via SQL and Python-based ETL framework Experience shipping code into production Experience writing testable code Comfortable using version control tools such as git or mercurial Experience with Small Business landscape and/or online marketing and advertising Experience working with or in support of diverse communities Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com." Data Scientist,"Irvine, CA",Acorns,"Data Scientist | Acorns At Acorns, we're building a financial wellness system that enables everyday Americans to save and invest every day. We are transforming the category and recruiting a team that is relentless at fulfilling our mission. The Acorns team comes together every day to deliver a revolutionary product to its customers, the up-and-coming. If you thrive in an environment where you can push yourself beyond all previous thresholds of possibility, come join us at Acorns. Acorns is actively seeking a highly self-motivated, detail-oriented, and solution-focused Data Scientist. This position will reside in the Data Science group, which serves as the central data science team for the company. The team is responsible for developing and using state-of-the-art mathematical modeling, data mining, and machine learning techniques to be agents for good by helping look after the financial best interests of the up-and-coming. The Acorns Data Science group is obsessed with solving hard problems that directly affect customers, including recommendation engines, fraud prevention, and customer intention inference. But these aren't Kaggle-type problems; we operate fast and often with imperfect data. We focus on impact - we innovate and put the models into production quickly. We know that solving problems with data is an art and a science. Data Scientists at Acorns are as good at communicating and collaborating as they are at building models and writing code. At Acorns, Data Scientists have broad latitude around data and you will work across functional teams including Analytics, Engineering, Product Management, Marketing, Operations, and Business Development, and will play a key role in shaping the technology and product directions of the company. Within 1 month, you will:Understand the Acorns products, data warehouse, and how data fits into the products. Discover new opportunities to apply data science concepts to the portfolio of products. Present findings to the Data Science team members. Interact with multiple teams. Within 3 months, you will:Have established architecture and implementation for an intelligence-driven product feature in a data-rich environment. Have complete ownership of a data science product and made production quality code commits into the team's repository. Contribute to the broader team's success by offering ideas and constructive feedback to other team member's projects. Propose novel ML research directions that will eventually power new products. Within 6 months, you will:Work independently and closely with the Product Management team to plan projects and recommend areas for the next generation of Acorns products. Work independently and closely with Engineering teams to deliver data science solutions into the product with proper API design. Build an identity within the company and can independently represent the Data Science team with other departments. What you will bring to Acorns:A team player that is enthusiastic, self-motivated, detail-oriented, and solution-focused. Empathy with our customers' financial situations and the desire to help our customers in need of personalized products and services. Uphold the values of transparency, honesty, and unconditional support for the team. Define problems, collect data, establish facts, draw valid conclusions, and make recommendations for continuous improvement. An ability to explain complex problems in a simple way. Capability to build algorithms that touch the cutting edge of statistics and machine learning. Apply state of the art machine learning, statistics or data mining in a variety of areas, including user analysis and data product design. Develop scalable and efficient methods for large scale data analysis and model development. Derive pride from technical excellence, and pursue excellence in all areas of work. Requirements:Hunger for impact, drive to learn fast, be creative, and win as a team. BS in Computer Science, Statistics, Mathematics, Physics, Engineering or a related field, or equivalent experience. 2-3+ years experience in working with noisy real world structured and semi-structured data. Expert in Python or Scala, with related statistical and machine learning packages. Background in NLP, data mining, machine learning, statistical analysis, and modeling, with experience deploying models in a production environment. Experience with A/B testing methodologies and experiments. Strong SQL abilities and experience with massive relational database systems. Able to take a complex, ambiguous topic and turn it into a rigorously defined and well-formulated problem that answers the business question we are trying to solve. Excellent communication skills to explain your results and solution to the stakeholders in a clear and compelling way. Bonus MS or PhD in Statistics, Mathematics, Computer Science, Physics, Engineering or a related field. Patent, publication, or conference presentation in an AI or ML related field. Has written production quality, version controlled code. Experience considering user psychology and user experience. Experience with Databricks, Spark, AWS, Airflow, Kafka or Kinesis. Knowledge of basic macroeconomic concepts. Thirst for delivering game-changing products. Exceptional drive and precision in delivery. A belief that your work is tied to your life's mission. Optimistic about the potential of societal change. What we offer:Competitive salary and stock options. A comprehensive benefits package to meet the needs of you and your family. Flexible paid time off. Corporate gym access. Daily breakfast, weekly team lunches, and an endless supply of snacks. Numerous career possibilities that allow you to grow with Acorns. Talented and motivated team members who care deeply about one another, our mission and our customers. The rare opportunity to create a new world. We inspire one another every day to do meaningful work that solves big societal challenges. About Acorns: Acorns is the leading micro-investing app in the U.S. It allows users to round up their daily purchases and automatically Invest the Change® into a low-cost, diversified portfolio of exchange-traded funds offered by some of the world's top asset managers (including Vanguard and BlackRock). Founded in Newport Beach, Calif., by father and son team Walter and Jeff Cruttenden, Acorns provides a simple entry-point using the Acorns app on iPhone or Android. Customers accumulate fractional shares in one of five portfolios constructed by world-renowned Nobel Laureate economist Dr. Harry Markowitz. Acorns' smart portfolio algorithms automatically work in the background of life, helping users build wealth naturally, pennies at a time. From Acorns mighty oaks do grow. Mission: With benevolence and courage, we look after the financial best interests of the up-and-coming; beginning with the empowering step of micro-investing. Values:Lead with heart Make bold decisions Always build trust Never stop growing Find a way" Data Scientist,Florida,ALSTOM,"Req ID:71799 We create smart innovations to meet the mobility challenges of today and tomorrow. We design and manufacture a complete range of transportation systems, from high-speed trains to electric buses and driverless trains, as well as infrastructure, signalling and digital mobility solutions. Joining us means joining a truly global community of more than 36 300 people dedicated to solving real-world mobility challenges and achieving international projects with sustainable local impact. Role Summary / Purpose Alstom an opening for experienced Data Scientists at our Melbourne, FL site. This position support Product Design Engineer(s) by researching and developing machine learning (ML) enabled data analytics algorithms. Essential Responsibilities Develop strategies to extract, resolve, and unify information of various types from numerous disparate data sources Build scalable, stable, and efficient applications to collect, organize, manipulate, analyze and present information from large structured and unstructured datasets Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Design, code, validate, automate, and scale software in a collaborative environment Doing ad-hoc analysis and presenting results in a clear manner Attends meetings, submits work progress reports, and performs related duties as required Qualifications / Requirements B.S. degree in computer science, math, statistics, physics, or related discipline. M.S. degree strongly preferred. Three or more (3+) years of experience in two (2) or more of the following: system/software architecture and development, virtual machine technology, distributed processing, data analytics, machine learning, and/or natural language processing. Strong math and statistics background. Ability to contribute to machine learning research and design and develop advanced algorithms Passion for developing efficient, testable, scalable, and well-documented code Excellent analytical, problem solving and organizational skills. Ability to work successfully in small team environments, and communicate effectively Ability to pay close attention to detail, meet deadlines, balance multiple tasks, work under pressure, and work with frequent interruptions. Desired Characteristics Experience in time series and/or text-based data analyis. Experience in architecting highly-distributed systems, computer applications, software engineering and networking. Experience developing data analytics applications, and applications for intermittently connected, low bandwidth, and low power environments; sensor integration and fusion. An agile, inclusive and responsible culture is the foundation of our company where diverse people are offered excellent opportunities to grow, learn and advance in their careers. We are committed to encouraging our employees to reach their full potential, while valuing and respecting them as individuals. Alstom offers competitive salaries, an excellent benefits package, and flexible work options, as well as a uniquely diverse and unified team of professionals. Our culture supports an environment where employees can continuously learn and gain professional growth through education, exciting projects and career mobility. Alstom recognizes your achievements and excellent performance through various performance incentive, recognition and reward programs. Our commitment is to you, the employee. Come work in an environment that is driven by integrity, innovation and visionary thinking. Make switch to a new track and join Alstom today! Alstom abides by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Accommodations for Applicants with Disabilities Alstom provides reasonable accommodations and/or assistance to applicants with disabilities and disabled veterans (including but not limited to other protected veterans and individuals with known physical and mental limitations). If you need a reasonable accommodation/assistance for any part of the application and/or hiring process, please note this in our online application. Successful applicants will be required to undergo pre-employment drug testing for unauthorized substances. Marijuana and medical marijuana are considered unauthorized substances. Additionally, upon date of hire, applicants will be required to complete the U.S. Department Homeland Security's I-9 form confirming identity and authorization to work in the United States. Job Segment: Database, Computer Science, Testing, Technology, Research" Data Scientist,"Carle Place, NY 11514",1-800-Flowers,"The Data Scientist will be part of the Enterprise BI team at 1-800-Flowers.com, Inc. This individual will manage one or more analysts and focus on customer-level advanced analytics for the direct-to-consumer and business-to-business channels. Responsibilities include, but are not limited to: As a hands-on analytics leader, deliver actionable insights while prioritizing and managing the workload of junior analysts Collaborate with business owners and propose appropriate analytics solutions to address critical business questions Create Tableau dashboards to empower business owners Develop advanced analytics solutions to address some open business questions, e.g., Multi-Brand Customer Segmentation Next Best Offer/ Next Best Brand Channel Attribution Customer Retention" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Data Scientist,"Buffalo, NY 14216 (North Park area)",Utilant LLC,"Think West Coast tech company meets small business in the City of Good Neighbors. We develop cutting edge software while maintaining a work environment that compares to the personal interaction you’d get working for a small business. We encourage our team to use the latest technology, collaborate, and run with their ideas. We also encourage them to have fun, which makes coming to work enjoyable! At Utilant, we believe that investing into our employees promotes innovation and excellence in our field.Teamwork: Work together to accelerate the success of both Utilant and its customers.Development: Continuously seek to improve our process by empowering individual growth and creativity.Innovation: Build powerful, intuitive software that people want to use. We are currently looking to hire a Data Scientist and a Junior Data Scientist to work out of our Buffalo, NY headquarters or to work remotely. As a Data Scientist you’ll have the opportunity to work alongside Data Engineers and Software Engineers to solve business challenges by employing vast amounts of insurance underwriting data from 10’s of millions of inspections and other data sources. A Data Scientist on our team will explore and understand structured and unstructured data sets, with an aim to design, train, and deploy machine learning models into a production software environment with a cloud-based infrastructure. The ideal candidate will have experience with and interest in collaborating with Software Engineers to deploy a reliable, customer-facing product. As our team is growing quickly, we’re keenly interested in candidates who understand how to design systems that scale and still know how to deliver results on a deadline when necessary.Accountabilities: Participate in the complete development lifecycle of cloud-based Data Science products, from exploratory data analysis to deploymentIdentify new opportunities to improve customer experience using a largely untapped data warehouse of text, image, and columnar dataStay up to date on advancements in Natural Language Understanding and/or Computer Vision technologies, with a focus on tools that can have a real-world impact for our usersDemonstrate model performance using visualizations and dashboards to define ongoing progress, compare model versions against key metrics, and provide a focus on our team objectives.Collaboratively give and receive feedback, including technical mentorship, by working with other Data Scientists via code reviewWork with other Data Scientists to develop reproducible models that predict and explain trends within a vast and heterogeneous data setCommunicate with stakeholders outside of the Data Science team to answer specific business questions, understand customer pain-points, and identify opportunities for improvementIndependently diagnose and remedy data hygiene issues to ensure reliable analysis and model developmentQualifications:4+ years of professional experienceAdvanced degree (MS or PhD) in a technical field, e.g. Computer Science, Engineering, or Mathematics Proficiency in SQL and relational databases like Microsoft SQL Server or equivalentExperience training, deploying, monitoring, and maintaining reproducible machine learning modelsAdvanced knowledge of unstructured data and machine learning technologiesProven experience with planning, execution, vision and success of complex technical projectsStrong communication and technical skillsCompetencies:Expertise in Python 3Thoroughly versed in statistics, linear algebra, and experimental designStrong knowledge of machine learning methods, including approaches that are neural, tree-based, etc.Experience with distributed version control systems (Git or equivalent) Experience with cloud-based platforms and services such as AWS, Azure, etc.Expertise in working with relational database management systems, including local or remote SQL DBsWorking with larger than laptop-memory datasets with distributed computing technologies, e.g. Spark, Dask, Hadoop, Hive, etc.Aptitude for visualizing complex relationships though plots, diagrams, and dashboardsAbility to prioritize use cases and remove/discern ambiguityProfessional, accountable, and reliable with excellent organizational & time management skillsExpectations:Act in accordance with the Vision, Mission and Values set forth by Utilant, LLC.In this position you may be required to perform duties as assigned outside of normal working hours.Develop a thorough understanding of the company culture.Flexibility in assuming duties not outlined in the responsibilities as needed.Display ability to work self-directed and to take initiative to work quickly, and independently.Work Environment and Physical Requirements: While performing the duties of this job, the employee is regularly required to talk or hear. The employee is frequently required to walk, stand, sit, use hands for fine manipulation, handle or feel and reach with hands and arms using a keyboard and video display terminal. The employee is occasionally required to stoop, kneel or crouch. The employee must regularly lift and/or move up to 30 pounds. Specific vision abilities required by this job include close vision, distance vision, ability to adjust focus and peripheral vision. The intent of this job specification is to provide a representative summary of the types of duties and responsibilities that will be required of positions given this title and shall not be construed as a declaration of the specific duties and responsibilities of any particular position. Employees may be requested to perform job-related tasks other than those specifically presented in this specification.EEO: Utilant LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Utilant LLC complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.Acknowledgement and Receipt of Job Description: This description does not imply that these are the only duties to be performed by this employee. He or she will be required to follow any instructions and to perform other duties requested by a supervisor. Your signature below indicates that you have read and understand this job description and its contents. The above information has been communicated and/or completed on the date below." Data Science - New College Graduate,"Palo Alto, CA 94301 (University South area)",Wealthfront,"The data science team creates data products to deliver optimized and personalized financial advice, develops best in class investment algorithms, and analyzes our rich financial and behavioral data to make key business decisions. The team draws from a variety of backgrounds in Computer Science & Engineering, Statistics, Economics, Math, Operations Research, and Financial Engineering. We derive strength from this diversity and are constantly learning and teaching each other in a down-to-earth, fun-loving environment. We are neither too big where you would be just another cog in the system, nor are we too small that none of our efforts can be realized. You will be challenged with meaningful and substantial technical problems which will help you learn and grow. Wealthfront is the leader in the vision to deliver financial optimization and automation to everyone. Join our passionate and innovative team with your fresh ideas and initiative to deliver on this great vision. What you'll do Work closely with cross-functional teams of product managers and engineers, translating open-ended business issues into data questions, identifying practical approaches including A/B testing to answer them, and carrying out timely and well-documented analyses that influence our product and company strategy. Design and develop data products to assist consumers with decisions around investments, financial planning, and advice. Understand and communicate a data-driven picture of our clients, product and business (and their interaction) to the company Continuously look for, and execute upon, opportunities to improve the quality of our data, infrastructure and products Understand and communicate a holistic picture of the business to the company Promote the automation of repetitive tasks and the creation of tools over ad hoc analyses, making your insights available to anyone that can benefit from them What we're looking for You subscribe to Wealthfront’s values and mission and can articulate the reasons why, and have an understanding of our product, business model and key metrics. Ability to access, transform, visualize, and model datasets with minimal engineering support, and communicate your results clearly, both verbally and in writing Strong foundation in probability and statistics. Familiarity with basic machine learning models and techniques. You enjoy mentoring others on subjects such as causal inference, experimental design, data visualization or behavioral psychology Programming competency in R or Python BS, MS, or PhD in computer science, mathematics, statistics, economics or related field Everyone across the financial spectrum deserves to live secure and rewarding lives. In order to successfully serve clients across the United States, the Wealthfront team is focused on hiring team members with a diverse range of backgrounds, experiences and perspectives. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.About Wealthfront Wealthfront is a nextgen banking service. We help you manage your money for both your short-term and long-term goals by providing a cash account with a top-of-market APY, best-in-class automated investment management, and free financial advice, anytime you want it. We entered into the banking space in a big way this past year with the launch of our cash account that offers an interest rate 18x greater than the national average. We’ve been overwhelmed by the response and grew over 100% last year to manage over $23 billion in total client assets. Our ultimate vision is to optimize and automate all of our clients’ finances and build what we call Self-Driving Money™️. We want clients to be able to automatically deposit their paycheck into their Wealthfront account, and let us take care of the rest — paying their bills, topping off their emergency fund or 401(k), and investing the rest based on their specific goals and lifestyle. To get there, we’ll be focusing the bulk of our 2020 efforts on creating a better alternative to what the banking industry provides. Join us so you can help us turn this industry on its head and build a service that our clients don't just like, they love." Data Scientist,"Oakland, CA",Trace Data,"Trace Data is developing a ground breaking product to help companies monitor and secure their data. We're integrating the world of security, observability and connectivity. We're looking for people with a strong background or interest in building successful products and systems; you're comfortable in dealing with lots of moving pieces; you have exquisite attention to detail; and love learning new technologies and systems. As our Data Scientist, you will: Develop large scale machine learning algorithms that support monitoring, privacy and security capabilities. Own the machine learning algorithms that power core features in the product such as the identification of sensitive data, automated data classification and anomaly detection using unsupervised and deep learning techniques ranging from computer vision algorithms for pattern recognition to variational auto-encoders to NLP. Design, build, and launch efficient & reliable new data models, schemas and pipelines to enable analysis, modeling and machine learning. Partner with product managers, designers, and engineers to prototype and productize data mining features. Advise on best practices and statistical methods for measuring and evaluating experiments.You may be fit for this role if you: Have experience of building products from the ground up. Have a Bachelor's/Master's degree or higher in a technical field such as Computer Science, Statistics, Economics, Operations Research, Math, Physics or Engineering. Have a deep theoretical understanding of modern machine learning algorithms, statistical models or optimization. Have experience with data tools such as Python, R, SAS, SQL, etc and strong skills in data analysis, data visualization and engineering. Have the ability to own your modeling work from model development all the way to launching into production with minimal help from engineers. Have experience with MapReduce, Spark, Hive, HBase, Google BigQuery, BigTable is a plus. Experience ML frameworks like Tensorflow, PyTorch, Spark MLlib, XGBoost, and Scikit-Learn is a plus. You're a strong communicators; explaining complex technical concepts to product managers, data analysts, and other engineers shouldn't be a problem for you.About Trace Data Trace Data is an early stage startup founded in 2019 and headquartered in Oakland, California. We're backed by top tier investors including Accel and Kleiner Perkins. We're a highly cross-functional organization and encourage as much collaboration as possible. We have a culture of transparency that we carry through to internal communication, ensuring everyone has the information they need to make great decisions. We value humility, respect and diversity. We look for people who are curious, want to grow and have impact every day. Trace Data provides equal employment opportunities (EEO). All applicants are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation." Data Scientist/Data Architect,"Saint Cloud, MN",Lifescale Analytics,"Job Description: At Lifescale Analytics, we help achieve data driven decision by leveraging strategic technologies to create innovated solutions, that ultimately help our clients to navigate their ever-changing data landscape. We have a contract opportunity in St. Cloud, MN for a Data Scientist/Data Architect. Responsibilities: · Build data visualizations and dashboards, drawing data from existing legacy reporting mart· Define requirements and high-level design for a dedicated analysis and visualization mart (in Snowflake), drawing data from existing reporting mart· Develop and mentor client on developing Data visualizations for SFDC data· Define requirements and design for pulling data from SFDC ad adding to analysis mart· Assist customer to retire tabular reports and replace with DVs and dashboards.Qualifications· 5+ years data science experience required· 4+ years BI data architecture & design experience required· 2+ years Banking or fin services preferred· 2+ years’ experience with Tableau or similar Visualization tool (eg, Qlik, R-Shiny) required· 2+ yearsSnowflake or similar experience (eg, Redshift, Teradata, Databricks) highly desired· Exposure to Mulesoft or similar ETL/ELT tool highly desired· Ability to coach and mentor customer staff requiredWho we are: Lifescale Analytics provides specialized expertise in data and analytics. Formed in 2012, the Lifescale Analytics team has years of experience providing a spectrum of customized data management services and solutions including Data Management/Analytics, Big Data Solutions, Cloud Services, Business Intelligence and Data Science that focus on building strong portfolios and programs. Through experience and innovation, we allow businesses, pharmaceutical companies, financial institutions and government agencies to manage and proactively make decisions based on their biggest asset, their data. Our specialists are skilled at managing, refining, analyzing or visualizing information for the specific purpose of increasing the value of IT to benefit from the data science industry.For more information, please visit our website at www.lifescaleanalytics.comJob Type: ContractExperience:data scientist: 3 years (Required)Tableau: 1 year (Required)Education:Bachelor's (Required)Location:Saint Cloud, MN (Required)Work authorization:United States (Required)Contract Length:More than 1 yearContract Renewal:LikelyWork Location:One locationSchedule:Monday to FridayDay shift" Junior Data Scientist,"New York, NY",Decode_M,"About Us Decode_M is a new kind of insights and strategy firm. We Decode Data into Momentum™ for individuals, organizations and movements. This means, for each client in our diverse portfolio (think Estee Lauder Companies, Airbnb, WeWork, Brooklyn Brewery, the NHL), we use wide-ranging data sources to diagnose what’s most in the way of our clients’ ambition and then advise them on how to move forward. We’re a tight-knit group that’s sharp, a little quirky and extremely collaborative. And we’re big fans of lunch. Seriously. We love a good lunch. The Opportunity We’re actively looking to recruit a Junior Data Scientist with 1-3 years of experience who, among other things, can support the team in developing scalable data solutions for the team and our client challenges. This position, based in New York City, requires a strong interest in digital, analytics, data science, and quantitative and qualitative research, a natural curiosity, an eagerness to dive into the deep end, and a hunger to learn and grow while having a blast. Expect to learn a lot about cool companies, new products, and the latest in digital, analytics, research and strategy. Who You Are You’ve solved a difficult or time-intensive problem by writing a quick program You’ve used an API to get data into or out of your favorite web app You’ve optimized a SQL query in order to make it run faster You’ve conducted statistical analyses outside of an academic setting You know your way around R, pandas, and numpy You’ve built a web dashboard to automate data analysis and visualization (preferably using Flask) You’ve deployed supervised and unsupervised machine learning models (preferably with Scikit-Learn) If this sounds like you… keep reading. What You'll Do Build Data Tools: Extract data from social media, online reviews, mainstream media sites, search, web traffic, etc. to uncover intelligence around growth opportunities and business challenges. Improve our Statistical Knowledgebase. Advance our capabilities for how statistics and machine learning should be used in analyzing digital trends, CRM data and quantitative research. Develop Custom Viz. Transform data and insights into compelling and creative visualizations. Scale our Data Solutions. Creatively identify opportunities in our process for scalable applications, and collaborating with others to construct these tools. Be a part of the Team. Support the creation of of client materials and other deliverables, and help anticipate what's needed next. Look for bumps in the road and know when to raise your hand for help. Help us grow. Be on alert for new business opportunities, with existing clients and potential ones. Tap into your experience and passions to come up with ideas, or ask thoughtful questions that encourage ideas, to drive our continued growth. Skills/Qualifications You are proficient with Python, R, SQL, and Microsoft Excel; you have experience working with APIs You have experience using applied statistics, and you’re comfortable working with imperfect data You are an autodidact, who loves to figure out solutions to problems by diving deep into Stack Overflow (or your preferred resource) You are curious, inquisitive, proactive, organized, and methodical. You like to use substantiated data to both identify and solve problems, rather than trust your gut alone You have an understanding of qualitative and quantitative research and/or digital analytics You have strong communication and writing skills You have the ability to juggle multiple priorities and pay attention to details when things are moving quickly What You Can Expect From Us We go beyond providing a competitive salary and benefits. We want our people to be successful – in work and in life. From on-the-job learning to formal classes, seminars, and online courses, we’ll invest in you and we’ll help you grow. Promise. We’re an equal opportunity employer. We embrace diversity and are committed to creating an inclusive environment for all our employees. How To Apply Send your resume and a cover letter to jobs@decode-m.com." Data Scientist | Darden | Orlando,"Orlando, FL",Photon,"Data Scientist | Darden | Orlando - (007313) Description Work with Structured and unstructured data primarily on Azure platform Ability to work with AI / MI / DS tools like Alteryx ™ to create business Insights Work with Data sources & varied set of tools residing on Azure Assist with visualization using tools like Tableau / MS Dossier / Power BI / Business Objects ( SAP ) etc. Predictive Analytics using raw or processed data Use R & Python to Analyze dataQualifications 8 + years in Statistical sciences Based out of Greater Orlando Area Primary Location: US-FL-Orlando Work Locations: Florida Orlando Job: Development Organization: US_Interactive Contractual Shift: Standard Employee Status: Individual Contributor Job Level: Day Job Job Posting: Feb 11, 2020, 9:48:43 AM" Data Scientist,"Chicago, IL","Blue Cross Blue Shield of IL, MT, NM, OK & TX","We’re looking for a Data Scientist in our growing Enterprise Data Science Team to develop new data science products using machine learning, natural language processing, data visualization techniques, and other forms of advanced analytics. The Enterprise Data Science team is also a Center of Excellence for data science at Blue Cross and Blue Shield of Illinois, New Mexico, Montana, Oklahoma & Texas. This person will spend approximately a quarter of their time promoting best practices in data science across the enterprise and leading and organizing technical training for the broader community. At the largest customer-owned and not-for-profit health insurer and fourth largest health insurer overall in the United States, you will have the opportunity to work with massive datasets to drive revenue growth, improve our operational and member-facing processes, and affect how healthcare is delivered to our members. An ideal candidate would be someone who loves working with data, demonstrates a continuous learning and growth mindset, possesses an interest in the intersection of healthcare and technology, and has an ability to communicate complex technical concepts to non-technical audiences. Job Purpose: This position is responsible for employing advanced analytical techniques to create and drive adoption of data-based products and processes to add business value for internal and external customers. They will use data analysis, machine learning, predictive modeling, statistics, visualization, and other data science techniques to derive actionable insights. They will leverage domain expertise and communication skills to identify data-based solutions to customer needs, and present and explain technical findings to non-technical audiences to promote data-driven decision making. They will create analytical processes for automated machine driven decision making where human decision making is not scalable or feasible.Job Responsibilities: Apply data analysis, machine learning, predictive modeling, statistics, visualization, and other data science techniques to derive actionable insights.Leverage domain expertise and communication skills to identify data-based solutions to customer needs.Develop, create, and implement data-based products and processes to add business value for internal and external customers.Develop, create, and implement analytical processes for automated machine driven decision making where human decision making is not scalable or feasible.Present and explain technical findings to non-technical audiences to promote data-driven decision making.Identify new data sources, drive collection of data, and identify use cases for existing data sources.Document steps and data sources and ensure that models and processes are easily understandable and maintainable.Document steps and data sources and ensure that models and processes are easily understandable and maintainable.Communicate and interact effectively and professionally with co-workers, management, customers, etc.Comply with HIPAA, Diversity Principles, Corporate Integrity, Compliance Program policies and other applicable corporate and departmental policies.Maintain communication with management regarding development within areas of assigned responsibilities and perform special projects as required or requested. Required Job Qualifications: Bachelor's degree and 3 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Actuarial credential or Master's degree and 2 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 6 years experience in an advanced mathematical, statistical, computer science, engineering, physics, economics or related quantitative field.Strong learning and growth mindsetCustomer-focusedStrong interpersonal, verbal and written communication skills.Must demonstrate proficiency in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare.Proficiency with Microsoft applications including Access, Excel, Word and Power Point. Preferred Job Qualifications: Masters or Ph.D. in a quantitative field, or bachelors degree with significant healthcare experience.Strong conceptual understanding of statistical learning theoryExperience with SQL and related data access toolsPractical experience with open-source tools for machine learning and statistical modelingKnowledge of general-purpose programming languages such as python, Java or C++Experience with emerging analytical tools and frameworks such as Spark, Dask, Keras, pyTorch, Flair and BERTExperience in creating rich custom data visualizations This position is located in Chicago, IL. Relocation will not be provided for this position.CA HCSC is committed to diversity in the workplace and to providing equal opportunity and affirmative action to employees and applicants. We are an Equal Opportunity Employment / Affirmative Action employer dedicated to workforce diversity and a drug-free and smoke-free workplace. Drug screening and background investigation are required, as allowed by law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Requirements: Expertise Data Science Job Type Full-Time Regular Location IL - Chicago HCSC is committed to diversity in the workplace and to providing equal opportunity and affirmative action to employees and applicants. If you are an individual with a disability or a disabled veteran and need an accommodation or assistance in either using the Careers website or completing the application process, you can call us at 1-866-977-7378 to request reasonable accommodations. Please note that only requests for accommodations in the application process will be returned. All applications, including resumes, must be submitted through HCSC's Career website on-line application process. If you have general questions regarding the status of an existing application, navigate to ""my account"" and click on ""View your job submissions""." Data Scientist,"Chicago, IL",CreditNinja,"Data Scientist Chicago, Illinois, United States DESCRIPTION CreditNinja is a FinTech company founded in 2017 by veteran serial entrepreneurs who were part of the core team behind Enova (NYSE:ENVA), a leading publicly traded consumer financial services company. CreditNinja's mission is to provide hardworking Americans with financial solutions when unexpected expenses arise. Unlike traditional banks, CreditNinja works hard to ensure that people with less-than-perfect credit can have quick access to the money they need. Headquartered in downtown Chicago, we are a lean and innovative team seeking like-minded talent to help us disrupt the consumer finance industry. CreditNinja is seeking a Data Scientist who will focus on the latest cutting-edge data mining and statistical modeling techniques to make a direct impact in a data-driven company. This is an exciting and rare opportunity to join a well-capitalized startup on the ground floor and help drive our success. Key Responsibilities: Conduct ad hoc analysis using advanced data mining tools to support risk management, operations and marketing strategies Work with cross-functional teams to explore new ways of finding insights from data and provide recommendations Develop dashboards to monitor key performance indicators Support development of company’s models to optimize lending decisions by using advanced statistical modeling and simulation techniques Support implementation of the models working closely with software engineering team Assist with development of technical tools and platforms to standardize and streamline model development and monitoring processes REQUIREMENTS A Bachelor's, Master's or PhD in math, statistics, computer science, engineering or related field 2+ years of experience with data analytics and statistical modeling Advanced experience with relational databases, such as SQL Experience with Python or R Experience working within an open source environment Strong quantitative and problem-solving skills with key attention to detail Ability to manage multiple projects with tight deadlines, follow through to completion, and present conclusions of analysis to senior management in an organized and thoughtful manner Experience working with specialty finance or FinTech is a plus Start-up experience is a plus BENEFITS Competitive salary and benefits package, including material equity grant Casual dress policy Fun, fast-paced work environment Dynamic start-up culture Ability to make an immediate impact in a growth stage company Convenient downtown Chicago office located in the heart of the city Equal opportunity employer" Data Scientist,"San Diego, CA",Solar Turbines,"Job Description We are looking for a high performing Data Scientist to join our dynamic digital team at Solar Turbines. The Data Scientist will apply analytical methods to extract insights from data in support of product development, sales, marketing, and most importantly our customers. The Data Scientist will contribute to our mission by leveraging their quantitative analysis, data management, modeling and/or data visualization skills as an individual contributor to project teams tasked with solving business and engineering problems. The ideal candidate is adept at using large and diverse data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Responsibilities: Solar collects and stores a myriad of data relating to the manufacturing, sales, operation, and maintenance of machinery. The role of the Data Scientist is to use data analysis and problem-solving to extract insights from this data to solve business and technical problems. Typical problems include the development of analytics to detect faults or failures from data acquired from machinery in operation, supporting sales requests through historical data analysis, to creating visualizations to enable intelligent, data-driven business decisions. The principal responsibility of the Data Scientist is to be an independent contributor to multi-person Agile development teams. This position has a depth of knowledge in quantitative analytic methods, data management, and or associated digital technologies. The work is typically directed by the Agile development team in coordination with a product owner and business stakeholders. The Data Scientist will: Demonstrate a breadth of knowledge in the application statistical and first principle analysis methods to solve business problems Conduct exploratory data analysis, data munging / cleaning, and create informative visualizations Create software-based solutions such as algorithms in code, applications, APIs, Business Intelligence Dashboards Collaboratively work with engineers, software developers, subject matter experts, and business representatives Be capable of presenting work through clear and effective communication to explain their problem-solving processes and conclusions to audiences with varied knowledge and experience with quantitative analytical methods Collaborate on shared software code by adhering to good software development practices, version control, and rapid iteration Have a strong focus on continual learning technology developments, and analysis techniques Minimum Qualifications B.S degree or commensurate experience in STEM (Science, Technology, Engineering, and Math) Minimum of 3 years related work experience Minimum of 1 year of experience working with industrial machine data Experience in data-science, statistical analysis, and machine-learning methods or experience in physics based analysis and modeling Proficient in one of the following programming languages (Python, Matlab, R, C++, or related) Experience with Agile development cycles Experience working on teams that develop new software products Preferred Qualifications M.S. degree or higher (or commensurate experience) in STEM (Science, Technology, Engineering, and Math) Experience in the modeling of machinery, specifically rotating equipment Demonstrated knowledge of rotating equipment and industrial IOT Experience working with time-series data Experience with integrating with relational data stores (SQL, Postgres) Working knowledge of functional and object-oriented programming Experience and demonstrated skill organizing and articulating complex technology concepts Motivated self-starter who can work with team members to rapidly iterate to solve problems Ability to immerse oneself in an industrial software market, and quickly add value to a team Excellent written and oral communications skills Capable of self-managing and multi-tasking in a fast-paced environment Ability to collaborate on international and cross-organization teams Ability to apply critical thinking and analytical skills to recommend creative solutions to business and technical challenges A curious thinker who is passionate about solving problems, executing on ideas, and delivering tangible solutions Desire to change the world! Auto req ID 9155BR Location Skypark 5 Country United States State/Region/Province California Company Solar Turbines Incorporated Job Category Field Services Minimum Education Level Bachelors Degree Minimum Years Experience 3 to 5 Shift 1st Shift Travel Requirements None to minimal Relocation Eligibility This position does not qualify for relocation. Benefits Eligibility Solar Turbines offers a competitive compensation and benefits package including medical, dental, life insurance, vacation, 401k, incentive bonus, tuition reimbursement and professional development/advancement opportunities. Company Info Headquartered in San Diego, California, USA, Solar Turbines Incorporated, a subsidiary of Caterpillar Inc., is one of the world’s leading manufacturers of industrial gas turbines, with more than 15,000 units and over 2 billion operating hours in over 100 countries. Products from Solar Turbines play an important role in the development of oil, natural gas and power generation projects around the world. Solar Turbines’ products include gas turbine engines (rated from 1590 to 30,000 horsepower), gas compressors, and gas turbine-powered compressor sets, mechanical-drive packages and generator sets (ranging from 1 to 22 megawatts). Solar’s customers put the company’s products to work in many areas including production, processing and pipeline transmission of natural gas and crude oil and generation of electricity and thermal energy for processing applications, such as manufacturing chemicals, pharmaceuticals, and food products. Solar’s foundation is people and Solar’s culture is one where individual contributions are valued, diversity in the workplace is encouraged, and safety is emphasized in all aspects of the business. Solar Turbines is comprised of a dedicated and multi-talented workforce of more than 7,000 employees with decades of experience working as a global team. Solar Turbines is an EEO/AA Employer. All qualified applicants – including minorities, females, veterans and individuals with disabilities – are encouraged to apply. Solar Turbines conducts Drug Screens and Background Checks EOE Plus Solar Turbines is an Equal Opportunity Employer. Solar Turbines conducts Drug Screens and Background Checks." Data Scientist,"Santa Clara, CA 95050",Savari,"“Join us to make the world's roadways smarter and Safer” “Join us if you have true passion to improve traffic safety” “Join us to implement technologies shaping the automotive future” Savari, a leader in V2X technology is seeking talented and highly motivated Data Scientist for its Santa Clara Engineering team. Savari seeks to make the world's roadways smarter and safer by deploying advanced wireless sensor technologies and software’s for V2X environment. With more than 150 man-years of V2X learning and development and 15 million-plus miles per year of public testing, Savari is headquartered in Santa Clara, CA and has offices in Detroit, Germany, India and China. The company is comprised of a core team of industry veterans from the automotive, semiconductor, software and telecom industries. www.savari.netRoles & Responsibilities What you will do Help product team to set up tests and perform statistical analysis on results to provide actionable Insights. Analyze various data sets and provide directive insight based on trending Build statistical models to predict interactions and segment users based on behavior. Work closely with the team to put together seemingly disparate pieces of data, build out the data pipeline and create interactive dashboards Analyze time series data Proactively communicate data methodology and results to a diverse set of stakeholders Write queries, contribute to larger scale products/projects and perform ad hoc analyses as needed Comfortable with working in fast-paced environments to find answers to critical questions with data and be decisive in an ambiguous situation Develop predictive modelers. You should have following skills Ph.D. or master's degree, or equivalent, in Computer Science, Math, Engineering, or related field Expertise in OpenCV, Computer Vision field with 2+ years of hands-on experience involving real- world data. Solid understanding of computer science algorithms, data structures, and numerical optimization methods Strong technical communicator. Plots and graphs should be your tool of choice, and you're happiest explaining complicated concepts to non-technical audience Experience with Tensorflow, Statistical Time-Series, Predictive Modeling and machine learning Algorithms. Demonstrated ability to think strategically about business, product, and technical challenges Location: Santa Clara, CA To apply for this job please send your resume at jobs@savari.net" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Data Scientist,"Long Island City, NY 11101",JetBlue Airways Corporation,"Data Scientist Position Summary The Data Scientist applies machine learning and statistical techniques to help solve JetBlue’s most complex commercial and operational challenges. The Data Scientist will be responsible for exploring and creating compelling visualizations of new datasets, identify key features and engineer new ones to be used in modeling, and discover the modeling approaches that deliver the best results based on appropriate evaluation metrics. The Data Scientist reports to the Manager, Data Science. Essential Responsibilities Collaborate with teams across the business to translate their needs or challenges into machine learning or statistical problems Support the development of data products through exploratory data analysis, feature engineering and model building Effectively communicate experiments, models and analytics outputs with partners Other duties as assigned Minimum Experience and Qualifications Bachelor’s Degree in computer science or a quantitative discipline One (1) year of relevant industry experience Proficiency in Python, SQL, git and common data science and machine learning libraries Experience building machine learning models Able to write production quality code and be familiar with software engineering best practices, including testing and version control Ability to communicate their findings to both technical and non-technical audience Must pass a ten (10) year background check and pre-employment drug test Must be legally eligible to work in the country in which the position is located Preferred Experience and Qualifications Advanced degree in computer science or a quantitative discipline Three (3) years of relevant industry experience Experience applying various data science techniques such as: Forecasting, Recommendation Systems, A/B Testing, Logistics Optimization, Churn Analysis, Segmentation Analysis, and Deep Learning Experience using Databricks, PySpark / Spark, Snowflake, dbt, Azure Cloud Crewmember Expectations: Regular attendance and punctuality Potential need to work flexible hours and be available to respond on short-notice Well-groomed and able to maintain a professional appearance When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft Must be an appropriate organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion and Fun Promote JetBlue’s #1 value of safety as a Safety Ambassador, supporting JetBlue’s Safety Management System (SMS) components, Safety Policy and behavioral standards Identify safety and/or security concerns, issues, incidents or hazards that should be reported and report them whenever possible and by any means necessary including JetBlue’s confidential reporting systems (Aviation Safety Action Program (ASAP) or Safety Action Report (SAR))Equipment: Computer and other office equipment Work Environment: Normal Office Environment Physical Effort: Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)" Data Scientist,"Charlotte, NC",PartnerRe,"Data Scientist The role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via: Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers) Development & deployment of predictive models Effective data driven storytelling Research and product development on application of analytic techniques to existing and new product areas Development of self and others on analytic techniques Internal and external presentations and publications. About you You will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement. The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs. The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales. Experience/Skills: Statistical skills normally acquired though graduate level education Practical experience in data analysis and predictive modeling using the R programming language (especially tidyverse) Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras) Familiarity with Linux, SQL and/or Shiny is desirable Life and/or Health insurance industry strongly desirable (re)Insurance experience is a plus but not required Corporate language is English; additional languages are beneficial The position is based in PartnerRe’s Charlotte office, but occasional travel is expected. Why PartnerRe PartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed. We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results. Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams. PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions." Intern- Data Scientist,"Westerville, OH",Vertiv Co.,"Intern- Data Scientist Requisition ID: (1900002452) Primary Location: United States-Ohio-Westerville Job Function: Information Technology Job Posting: Sep 24, 2019, 10:39:04 AM Vertiv, a global leader in network power solutions, seeks a Data Scientist Intern at its Columbus, OH headquarters location. The successful candidate will perform duties such as: Learn data types and values Learn Vertiv rules of operation to safely add data to big data system Create program, scripts, and code that extends initial ingestion efforts Automate and extend ETL streams from remote device data and streams Create ETL normalization models for re-use Create User Interfaces for Operations dashboards and device performance Extract Data from SQL systems Create and Extract Revenue opportunities from natural language data Document and Present results of 4-5 mini projects through summer Refine machine data from our internal databases PowerBI dashboards for operational status" Data Scientist I / Data Scientist II / Data Scientist III,"Medford, MA",TUFTS University,"This listing is for 4 open positions. The positions will be Data Scientist I / Data Scientist II / Data Scientist III depending on the experience of the candidate. The Data Intensive Studies Center (DISC) is a new university-wide, interdisciplinary center dedicated to data-intensive research and pedagogy, studying the science of data and its use in application domains that span the breadth of the university. The center will build on existing strengths at Tufts and provide a structure to help realize the promise of the Tufts T10 Strategic Plan. DISC will also create a collaborative, application-driven environment that simultaneously fosters the development of new methods for extracting meaning from data and the application of those methods to a host of domain areas relevant to Tufts. Lastly, the center will provide a university-wide forum for identifying strategic opportunities best addressed by combining expertise in the science of data and application domains. Designs, organizes, and carries out scientific research studies. Serves as the technical scientific consultant on a specific phase of a more complex scientific study. Makes independent decisions as it relates to a specific scientific field and solves problems using standard principles, procedures, and techniques for their scientific area of expertise. Develops projects and plans to implement new scientific methods. Contributes original research published in peer-reviewed journals. Participates in securing grant funding from the government or other peer-reviewed sources independently. Participates in teaching, research, and mentoring including providing research guidance to graduate students, and less experienced scholars. Participates in developing new educational materials. Qualifications Basic Requirements: A PhD with 5 years of experience in broad areas of Applied Mathematics, Computer Science and Statistics or MS with 10 years experience. Demonstrated expertise in managing and analyzing large data sets, programming competencies as related to these tasks. Made significant contributions to related scientific research and scholarship though contributions published in peer-reviewed journals. Demonstrated potential as a research scientist and has familiarity of external funding from government and/or other peer-reviewed sources. Experience in mentoring and training undergraduate and graduate students. Special Work Schedule Requirements: May need to work as needed and travel to and from Tufts three campuses (Boston, Grafton, and Medford).An employee in this position must complete all appropriate background checks at the time of hire, promotion, or transfer.Equal Opportunity Employer – minority/females/veterans/disability/sexual orientation/gender identity. Primary Location: United States-Massachusetts-Medford/Somerville Job: Administration Organization: Data Intensive Study Center Employee Status: Regular Schedule: Full-time Job Posting: Jan 17, 2020, 3:18:54 PM" Data Scientist - Customer Success Team,"San Diego, CA 92127 (Rancho Bernardo area)",Teradata,"Location: San Diego, CA As a Data Scientist Senior Associate, you will be responsible for supporting Teradata’s Customer Success team by helping us leverage the power of data to unlock new insights about Teradata’s business operations. Your primary role will be to apply your expertise in data mining, statistical analyses, and predictive analytics to better align our operations to our corporate strategy. This is a new role within the organization so we are seeking an individual who can help us better define the role and best practices around the use of predictive analytics. You must be able to work cross-functionally to conduct analyses that satisfy business requirements and meet the needs of several stakeholders across Field Sales, Sales Ops, Marketing, Product, Finance, and others. This role reports directly to the head of GTM Strategy & Process team. Responsibilities: Support the development of strategies that align to the long-term goals and visions of Teradata Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Mine large amounts of information to discover and interpret trends and patterns Build custom predictive models and machine-learning algorithms to optimize business outcomes Combine models through ensemble modeling Present information using data visualization techniques Work cross-functionally across the organization to implement models & provide ongoing monitoring Examples of work include conducting Natural Language Processing or Sentiment Analyses on unstructured data sets Requirements: Bachelor’s degree plus at least 5-7 years of relevant work experience required Strong experience with:Statistics: exploratory analysis, regression, model creation Data mining: Anomaly detection, signals & patterns analysis Data modeling: Machine learning, decision trees/forests, clustering analysis Text analysis: Natural language processing, sentiment analysis Experience using statistical computer languages and analytic tools ( ex. Hadoop, Map Reduce, Spark, Aster, Python, java, SQL, R, Data Profiling/BI tools. etc.) to manipulate data and draw insights from large data sets 3-5+ years experience in the Analytics ecosystem Time management & prioritization – ability to prioritize and manage multiple initiatives simultaneously Strong attention to detail, with strong written & verbal communications Preferred: Master’s or PhD in Statistics, Mathematics, or other quantitative fields Previous experience with Teradata technology is ideal What we offer you! The newly renovated Teradata HQ in San Diego boasts one of the best office spaces the city has to offer, including, a state-of-the-art gym with classes daily, a juice bar, coffee shop, on-site cafeteria, panoramic city and mountain views, basketball courts, ample outdoor sitting space, and so much more! We offer comprehensive benefit programs, unlimited time-off, 401k matching, and an employee stock purchase program. The opportunity to work with brilliant people in an environment of significant transformation where everyone has the freedom to drive change and make an impact. Be a part of the world's leading company in a space that will define our future!" Data Scientist,"Boston, MA 02210 (South Boston area)",Fidelity Investments,"Job Description: We are looking for a Data Scientist to join our team in launching a new data product for crypto asset investors. You will apply your machine learning and cognitive computing skills to vast and varied data sets. In this role, you will work with product / project managers, designers, and engineers to build and scale our business. Our application is being built completely in the cloud. We use modern technologies and are always open to improving our tools and our process. The Team The Fidelity Center for Applied Technology (FCAT) supports the entire Fidelity business with a mission to catalyze innovation for Fidelity and its clients. We are a group within FCAT that is leading efforts on exploring blockchain technologies to disrupt business models and provide new opportunities with new products and services—this team was the launching pad for the recently announced Fidelity Digital Asset Services (FDAS). We have a multi-disciplinary team of software engineers, researchers, designers, product managers, and security and compliance experts. We’re growing our team to accelerate development of a new business opportunity that we’ve identified. This role is in Boston, MA. The Expertise You Have Master’s degree in a numerate field (statistics, computer science, engineering, physics, economics etc.) At least 4 years of post-degree experience in an applied data science role, or PhD with at least 2 years of work experience (includes Post-Doc) Proven experience producing deliverables in a fast-paced environment Have a working knowledge of databases and SQL (Structured Query Language). Experience with common data science toolkits, such as Python, R etc., with expert proficiency in at least one Experience with at least two of Social Network Analysis, Knowledge Graphs, Predictive Modeling, Language Processing (including NLP) is strongly desired Experience sourcing and experimenting with data from web sources (REST APIs, web scraping) 2 or more years working in an Agile/Scrum/Lean environment.The Skills You Bring Thrive in a fast-paced, results driven startup-type environment Proven ability to coordinate work with a globally distributed team Enjoy collaborating with other developers and white-boarding problems Excellent troubleshooting skills for when the playbook just doesn't cover it, and strong desire to learn new skills Ability to work with Design and Product to truly understand the user/business need in order to develop disruptive products, and with Engineering to implement models in a live product Keen understanding of machine learning techniques and algorithms Experience with Deep Learning toolkits and Bayesian Statistics Proficiency in using SQL, Hadoop/Spark for data extraction and analysis Good applied statistics skills, such as distributions, statistical testing, DOE etc.The Value You Deliver We are developing a Data Science competency within Fidelity Center for Applied Technologies to help understand, develop and test the data enabled products and services of Fidelity’s future. As such we are seeking Data Scientists that are excited by the opportunity and comfortable with the productive ambiguity that new product/service development entails. You will apply your machine learning and cognitive computing skills to vast and varied data sets on one of the industry’s leading developmental networks. The role will be a core member of an AI/ML focused incubator team consisting of Product, Design Thinking, Engineering and System Architecture professionals, all focused on developing products and services to improve investment outcomes and enrich the customer experience in the Crypto Asset Analytic space. Company Overview At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer. Certifications: Category: Business Analytics and Insights" Data Scientist,"Redwood City, CA 94065 (Dolphin area)",Perfect World Entertainment,"The Data Scientist provides data-driven insights related to several of Perfect World’s services and products, including our popular games and the global game publishing platform. He/she identifies the opportunities that would help improve the user acquisition, retention and monetization of our games. Ideal candidates will have a deep understanding of statistics and machine learning algorithms, experience working with large datasets, and an ability to communicate actionable insights directly to non-technical audiences. Key Qualifications 2 years of industry experience in a Data Science or Analytics role. Experience with visualization software. Working knowledge of SQL and Python/R. Working experience of Machine Learning and predictive analytics. Familiarity with the Hadoop framework, including the ability to interact with data through Hive, Pig, or MapReduce preferred. Strong communication skills, both written and oral, and an ability to convey complex results in a clear manner. Data Science or Analytics experience in gaming or marketing strongly preferred. Education Major in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience." Data Scientist,"Philadelphia, PA 19104 (University City area)",University of Pennsylvania Health System,"Penn Medicine's Data Science team is looking for a Data ScientistJob Summary: The Data Scientist will apply machine learning and statistical techniques to clinical, administrative, biological, and wearable device data to create immense value for patients and health systems. These methods will be used to study clinical practices and implement policies and interventions related to disease screening, population health, and decision science. Individuals in this role are expected to be comfortable working as a software engineer, a quantitative researcher, and a collaborative member of a clinically oriented research team. Penn Medicine is seeking a Data Scientist to join our Data Science team embedded in the Department of Pathology and Laboratory Medicine. At its core, this position is about revolutionizing healthcare with data-driven practices to predict and ultimately prevent serious illness.Accountabilities:Work closely with members of a large research team to identify and answer important healthcare questions with appropriate statistical techniquesLead large data acquisition, data mining, Natural Language Processing (NLP), and analysis projects; data types and sources will vary, but will certainly include clinical dataCreate and manage protocols for the analysis of data collected through the course of usual clinical care, mobile technologies, and by other passive meansDesign and execute research projects utilizing advanced computational techniques to generate novel medical insights and to build clinical decision support systemsCommunicate findings to researchers, clinicians, and administratorsDrive the collection of new data and the refinement of existing data sourcesWork closely with a team of developers and researchers to conduct scholarly work at the intersection of serious illness and clinical informatics Performs duties in accordance with Penn Medicine and entity values, policies, and proceduresOther duties as assigned to support the unit, department, entity, and health system organization Minimum Requirements:Minimum Education & Experience Required:Bachelor’s degree in a relevant technical field, e.g. statistics, mathematics, physics, computer science and 3+ years of experience in a relevant role required, ORMaster’s degree in a relevant technical field, e.g. statistics, mathematics, physics, computer science and 2+ years of experience in a relevant role required Skill Requirements:Fluency with statistical and machine learning techniques such as decision trees, feed-forward and recurrent neural networks, graphical models, clustering, and dimension reduction requiredExperience manipulating and analyzing complex, large volume, high-dimensionality data from varying sources Fluency in coding in R and/or Python (Python) requiredFamiliarity with reproducible scientific workflows (e.g. Jupyter notebooks or Rmarkdown) and version control (e.g. git) requiredA strong passion for empirical research and for answering hard questions with data requiredA flexible analytic approach that allows for results at varying levels of precisionAbility to communicate complex quantitative analysis in a clear, precise, and actionable mannerFamiliarity with relational databases and SQL requiredFluency in NoSql design, deployment and analyzing on many TB’s of data preferred Additional Information:We believe that the best care for our patients starts with the best care for our employees. Our employee benefits programs help our employees get healthy and stay healthy. We offer a comprehensive compensation and benefits program that includes one of the finest prepaid tuition assistance programs in the region. Penn Medicine employees are actively engaged and committed to our mission. Together we will continue to make medical advances that help people live longer, healthier lives. Live Your Life's Work EOE/AA, Minority/Female/Disabled/Veteran We are an Equal Opportunity and Affirmative Action employer. Candidates are considered for employment without regard to race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, familial status, genetic information, domestic or sexual violence victim status, citizenship status, military status, status as a protected veteran or any other status protected by applicable law." Data Scientist,"New York, NY",Alldus,"Data Scientist We are a rapidly growing financial technology company focused in making credit trading more efficient. This role is based in our global headquarters in New York About The Role: We need an entrepreneurial data scientist to join our ever growing Labs team. Our goal is to enable participants in credit markets to make the best data-driven decisions possible. What You’ll Do: Build and develop analytics and models which increase the platforms transactional volume Make contributions to bond pricing algorithms and market data analysis Power the quantitative engines that are the core of the firm and help drive our brands mission Skills & Qualifications: Degree in STEM major from a top level university Relevant experience of 3-5 years with Bachelor’s degree, or 1-3 years with PhD/Masters Strong experience with Python and R Experience modelling financial time series, ideally in bond or equity space Self-organization and entrepreneurial spirit Clear communication Benefits: Industry leading compensation Fully covered benefits including health, vision and dental Exciting office environment and help your self to the fully stocked pantry Team-oriented and collaborative company culture" "Data Scientist, Analytics - Ads Ranking","Menlo Park, CA",Facebook,"The Ads Ranking team leverages state-of-the-art Machine Learning in our quest to make every ad impression meaningful for the 1.5 billion people on Facebook each day. The team uses cutting-edge ML algorithms that allows us to use our deep understanding of the users to improve the relevance and quality of advertising at a global scale and is at the heart of the Facebook ads system. We are looking for a Data Scientist who can work closely with Engineering and Product leads, drive the modeling and product strategy to make the company level impact. DATA SCIENTIST, ANALYTICS - ADS RANKING RESPONSIBILITIES Build long term vision and scope out the area for the team Understand the complex E2E recommendation system and identify the bottlenecks and opportunities Identify the gaps and develop the solutions in ML stack Build and validate the hypothesis of modeling/product ideas Leverage data to inform the right business decision, such as designing how to evaluate model updates and whether they should be launched Understand model stability and sources of volatility Design and implement data-driven systems to increase the value of modeling, labeling, ranking and efficiency for all Ads Ranking teams MINIMUM QUALIFICATIONS BS, MS or PhD Degree in Statistics, Computer Science, Econometrics, or similar domain 5+ years of experience working in an analytics organization Genuine interest in going deep in the data and build theory and tell story from it Good ML sense and statistical knowledge Experience working independently and as a member of a cross-functional team Experience in querying and manipulating large datasets for analysis Python and SQL experience Strategic thinking and can drive the direction of the team PREFERRED QUALIFICATIONS Ads/Advertiser experience Experience in Tech leading large project Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com." Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Science Engineer (Data Scientist),"Palo Alto, CA",Plume,"Job summary Join a small, highly skilled data science team using state of the art machine learning and data analysis to improve Wi-Fi networking. This position offers the unique opportunity to apply data science to a new area (wireless networking) which itself is deep and scientific. We are engaged in solving difficult problems in prediction, optimization, clustering, and anomaly detection. The data itself is huge in scale, encompassing measurements from millions of users worldwide at time granularity of seconds. And, your work will improve the performance of cool consumer products that your friends are buying! Responsibilities Utilize machine learning techniques to develop: Predictive models of network parameters such as load and interference Networking anomaly detection Client behavior classification Predicting customer satisfaction and behaviors Deriving estimates of load, capacity, link rates, etc. from noisy raw measurements Develop data analysis and dashboards to represent the network statistics we are gathering Specifying tools and data pipelines to enable real time processing and offline processing Qualifications Strong ability in Python or Scala, good coding skills Experience working with large databases, high volumes of data Familiarity with concepts from statistics Experience and fundamental understanding of machine learning techniques Bachelor's degree or higher in Electrical Engineering, Computer Science, or Statistics Experience Desired Some experience or background with networking is desired. It is preferred if the candidate has experience applying big data/machine learning to networking Real time algorithm development and implementation (responding to changing inputs in seconds) Experience estimating processing and communications requirements for various data pipelines/learning systems Experience with a range of data analysis techniques: linear regression, random forest, clustering, factor analysis, supervised and unsupervised learning, STL analysis, graph algorithms, etc." Data Scientist - Outcomes Research,"Houston, TX",Houston Methodist,"Houston Methodist (HM) is looking for a passionate data scientist to join the Center for Outcomes Research (COR) to lead and develop informatics and population health initiatives that transform healthcare via data science and big data analytics. The Data Science Analyst will have a proven track record of being able to interpret strategic initiatives and challenges, create and implement big data management strategies, and perform complex analysis on evolving data sets. The individual will be responsible for the implementation and maintenance of ETL solutions for real-time healthcare data, which may include advanced data management approaches such as stream processing, feature engineering, and anomaly detection. The data scientist should leverage the information in HM enterprise data warehouses and the Epic® electronic medical record, aggregate national representative datasets under the guidance of the Co-director of COR as well as Division Chief of Healthcare Informatics. Responsibilities may include application development, implementing advanced data processing applications to identify potentially anomalous data, implementing algorithms for feature engineering related to medical imaging, patient monitoring, and laboratory testing. May also build new tools to automate workflows and work with researchers and IT personnel to implement advanced analytic algorithms within production healthcare IT systems. The position promotes and supports system and department specific ICARE values. PATIENT AGE GROUP SERVED Not applicable DUTIES AND RESPONSIBILITIES PEOPLE (15%) Manages client relationships as assigned, by leading the delivery of innovative strategies and solutions for our clients (EF). Presents project progresses and results to the stakeholders. Reports to Co-Director for the Center for Outcomes Research. FINANCE (10%) Applies good fiscal management practices Manages the continuous improvement of clinical and operational data and analytics. QUALITY/SAFETY (20%) Be knowledgeable on clinical data quality issues and assurance as well as patient privacy and data security and compliance. Documents the project requirements and results on a timely basis. SERVICE (35%) Drives the data analytics insights across the hospital system. Drives the execution of multiple analytical plans and projects. Identify data elements within the clinical/health databases for analytics and decision supports. GROWTH/INNOVATION (20%) Consults with clinicians and hospital staff regarding process improvement, delivery of best outcomes, decision supports, data insights and recommendations. Translates the findings into viable informatics solutions that can be implemented with the clinicians, hospital administration, and other stakeholders. Obtain and maintain Epic® certification on one or both tracks (clinical and/or financial) for the Epic data model implemented in Clarity® and Caboodle®. (at COR expense) Obtain and maintain HM Power User certification/credentials and demonstrate compliance and a strong working knowledge of the information policies and procedures governing the use of health care data within the HM organization. Maintain a strong working knowledge base of statistics and statistical methodology. This job description is not intended to be all inclusive; the employee will also perform other reasonably related business/job duties as assigned. Houston Methodist reserves the right to revise job duties and responsibilities as the need arises. EDUCATION REQUIREMENTS Master’s Degree in Computer Science, Clinical Informatics, Public Health Administration, Business Administration, or Engineering, or an MD with experience in Computing, Informatics, and Statistics. EXPERIENCE REQUIREMENTS At least 4 years of experience in data analytics and/or database management in a healthcare organization. CERTIFICATES, LICENSES AND REGISTRATIONS REQUIRED None KNOWLEDGE, SKILLS AND ABILITIES REQUIRED Experience with clinical settings and healthcare administration. Experience with statistical, database and algorithm modeling preferred. Experience in process mapping and analytics. Experience on decision support methodology and advanced analytics. Experience of clinical/health data integration in a health care IT environment. Great communications skills, both verbal and written English is a must - especially as it pertains to communicating complicated technical concepts to non-technical stakeholders. (Please provide a technical writing sample demonstrating mastery of technical communication skills). Proven interaction skills with clinicians and hospital administrators. Proven interaction skills with clinicians and hospital administrators. Ability to effectively communicate with, physicians and co-workers in a manner consistent with a customer service focus and application of positive language principles. Proven proficiency with common analytical tools and software packages (examples include: Microsoft Office® suite (Excel, Access, Word and Power Point, BI Power Builder), statistical packages (e.g. STATA, SPSS, R, SAS, etc.)) WORKING ENVIRONMENT Normal office environment" Data Analyst/Data Scientist,"Portland, OR 97202 (Hosford-Abernethy area)",Cascade Data Labs,"Cascade Data Labs is a boutique consulting agency with end-to-end experience helping Fortune 500 companies form and execute their analytics strategy and infrastructure. We believe strongly that the difference between analytics success and failure comes down to practitioner-level understanding of the “details” presented across a variety of disciplines; data collection, organization, and processing in a rapidly evolving technological landscape, analytical inference on multi-dimensional data sets, and the communication of findings to business stakeholders in visually compelling ways.Ideal candidates will have strong quantitative backgrounds and analytical discipline. While they will have some demonstrated ability to write code, they will not have learned programming languages for the sake of building their resume, but rather as a means to express their intellectual curiosity and analytical voice. Cascade Data Labs will provide a platform and training to help them reach their full potential.We are seeking candidates with all levels of experience; intern to senior-levelResponsibilities:Analyze a collection of raw data sets to create meaningful impact to large enterprise clients while maintaining a high degree of scientific rigor and disciplineBuild data pipelines to aid analysis and/or reportingCommunicate findings in an intuitive and visually compelling wayQualifications:Required:Bachelors or Masters in Business Analytics (or related), Mathematics or Statistics - if you are currently enrolled in a degree program please include your GPA in your resume or cover letter)Proficiency (can execute data ingestion to insight) in programmatic language such as SQL, R, Python (Pandas/Scipy/Numpy) OR at the very least, mastery level of Microsoft ExcelPreferred (candidates are not expected to possess all of the below skills but should possess a demonstrated aptitude and excitement to learn more of them):Proficiency in visualization/reporting tool such as Tableau, Spotfire, Qlikview OR proficiency in programmatic visualization library such as R ggplot2, Python matplotlib/seaborn/bokeh, Javascript D3Proficiency in Microsoft Powerpoint or KeynoteProficiency scripting in UNIX environmentExposure to big data environment and tools such as Hive, Impala, Pig, Spark, etc. Familiarity with AWS services a huge plusFamiliarity with machine learning techniques and libraries along with the ability to appropriately apply them to various business questionsJob Type: Full-timeExperience:Spark: 1 year (Preferred)R: 1 year (Preferred)SQL: 1 year (Preferred)Python: 1 year (Preferred)" "Data Scientist, Product Analytics","Austin, TX",Facebook,"We’re looking for Data Scientists to work on our business products to help shape the future of what we build at Facebook. You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into real products on a regular basis. The perfect candidate will have a background in a quantitative or technical field, will have experience working with large data sets, and will have some experience in data-driven decision making. You are focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a product. DATA SCIENTIST, PRODUCT ANALYTICS RESPONSIBILITIES Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products Partner with Product and Engineering teams to solve problems and identify trends and opportunities Inform, influence, support, and execute our product decisions and product launches The Data Scientist Analytics role has work across the following four areas: Product Operation: forecasting and setting product team goals, designing and evaluating experiments, monitoring key product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, evaluating and defining metrics Exploratory Analysis: proposing what to build in the next roadmap, understanding ecosystems, user behaviors, and long-term trends, identifying new levers to help move key metrics, building models of user behaviors for analysis or to power production systems Product Leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results, etc. to product teams, spreading best practices to analytics and product teams Data Infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, automating analyses and authoring pipelines via SQL and Python based ETL framework MINIMUM QUALIFICATIONS 4+ years’ experience doing quantitative analysis within a large-scale company or fast-paced environment BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field Experience in SQL or other programming languages Development experience in any scripting language (PHP, Python, Perl, etc.) Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product Knowledge of statistics (e.g. hypothesis testing, regressions) Experience manipulating data sets through statistical software (e.g. R, SAS) or other methods PREFERRED QUALIFICATIONS Advanced degrees Experience with distributed computing (Hive/Hadoop) Experience working within the tech sector preferred Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com." Data Scientist,"Chicago, IL 60601 (The Loop area)",Starcom,"Company Description null Job Description The Data Scientist will contribute to the ideation, design, development, and deployment of end-to-end analytics applications and solutions. The primary responsibilities are analytics product development and statistical modeling related to media effectiveness and efficiency measurement. The applications we create are critical for helping internal teams optimize media planning and buying. This role is with the Architecture & Technology, Product Team within Advanced Analytics & Insights (AAI). Key Responsibilities Work collaboratively within cross-functional teams to gain a deep knowledge of business goals and challenges, and then using this knowledge to design and build analytics application prototypes Work with external analytical stakeholders (both internal media teams and external clients) to plan, analyze, and execute against client analytics roadmaps Proof-of-concept implementation of advanced statistical modeling and machine learning algorithms Design and build models for software application prototypes Ability to perform analyses and tests that quantify the business value of an opportunity Ability to contribute at every stage of analytics product and solution development; i.e., data acquisition, data preprocessing, descriptive and predictive modeling, creating insights, and automation Qualifications Bachelors and/or Masters in any quantitative field; 2+ years academic or industry work experience applying data science Extensive programming experience in Python; SQL, comfortable working in both Windows and *nix environments Strong analytical skills with solid foundation in many of the following statistics and machine learning techniques: regression analysis (continuous, categorical, survival, time-series, and count models, etc.); classification (CART, SVM, etc.), clustering (k-means, hierarchical, etc.), and other machine learning and artificial intelligence techniques; experimental design; and forecasting/sensitivity analysis Extensive experience with statistical software packages (SAS, Stata, and/or R) Strong business judgment Ability to rapidly brainstorm and develop testable ideas alone or with teams Experience developing and deploying data pipelines to support analytics applications Ability to build solutions that integrate with Hadoop, MS SQL Server, Windows Application Server, Tableau Server, and third-party APIs Additional Information All your information will be kept confidential according to EEO guidelines." Data Scientist/Specialist,"Houston, TX",BBVA,"Company: Compass Bank dba BBVA Compass Location: Houston, Texas. United States Job type: Employment | Business Development Usa Published on: 3rd February 2020 Our Company At BBVA, we are leading the transformation of global banking with the aim of bringing the opportunities of this new era within everyone’s reach. We are a global financial institution present in 30 countries with over 75 million customers. We are a bank with over 126,000 employees across the world and every one of those employees is leading and designing his/her professional career with the help of tools provided by the organisation to make that happen. Corporate responsibility is an intrinsic part of our business model, promoting inclusion and financial education while supporting research and culture. Being part of BBVA means developing your career in one of the most innovative companies in finance. We started out with the spirit of helping others make the best financial decisions. That spirit remains with us today and encourages us to keep moving forward, prioritising innovation and digital transformation so that we can bring the opportunities of this new era within everyone’s reach. Our values define our identity; they are what drives us to make our goals a reality and they guide all of our actions and the decisions we make.The customer comes first.We think big.We are one team. Job description Supports the bank''s marketing efforts by performing financial and statistical analysis of customer databases, producing reports and presenting recommendations that management can use to make product & market decisions, determine behavior patterns, and develop product/market strategy. Responsibilities Utilize various resources to obtain regional, industry, product, cost, or competitive market information in order to create trending and analysis. Utilize internal data and database information to create trending and analysis reports. Develop and design various reports to communicate market information. Provide preliminary observations of all reported data. Assist in management of database marketing. Query marketing databases to procure data needed for analysis (financial/statistical model/spreadsheet analysis indicating trends in commercial and retail products). Create statistical models to predict consumer behavior (needs/activity/what are we doing type things). Conduct financial and statistical analysis. Provide support for compliance with federal regulations (over all/alternatives) acquisition analysis. Interpret data and present findings and recommendations to management. Education/Experience Bachelor''s Degree (BA, BS, etc.) in Marketing, Business, or a related field required with Two (2) years of customer analytics experience. Work experience may substitute for education requirement. Lic/Cert/Reg Required: None required Preferred: None preferredAt BBVA, we believe that having a team made up of people with different ways of viewing the world and of taking on each challenge makes us a better bank. That is why we actively support diversity and inclusion, and we invite you to apply, regardless of your race, gender, age, sexual orientation, country of origin, experience, studies, etc. We nurture a collaborative and inclusive work environment that enables us to show and develop the best we each have to offer. Pay Transparency Policy Statement The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information (41 C.F.R. 60-1.35 (c)). Individuals with Disabilities BBVA Compass, BBVA Securities Inc., and BBVA S.A. New York Branch invite all interested and qualified applicants to apply for employment opportunities. If you are a U.S.-based job seeker with a disability who is unable to use our online tools to search and apply for jobs, please contact us by emailing: disabilityaccessjobs.us@bbva.com or by calling toll-free (in the U.S.) 1-844-664-9275. Please indicate the specific type of assistance needed*. The disability access telephone line and email address are reserved solely for job seekers with disabilities requesting accessibility assistance or an accommodation. Please do not call about the status of your job application if you do not require accessibility assistance or an accommodation. Messages left for other purposes, such as following up on an application or non-disability related or technical issues, will not receive a response. EEO Statement BBVA Compass, BBVA Securities Inc., and BBVA S.A. New York Branch have a firm and unwavering policy to provide equal employment opportunity without regard to age, citizenship, color, disability, ethnic origin, gender, gender identity and expression, marital status, nationality, national origin, race, religion, sexual orientation, genetic predisposition, protected veteran status, or any other status or classification protected by federal, state or local law. This policy includes all job groups, classifications and organizational units. With regard to employment, this policy extends to applicants and covers our recruiting, hiring, promotion, transfer, demotion, discipline, termination, benefits, compensation and training practices as well as social and recreational activities. View the ""EEO is the Law"" & ""View the EEO is the Law Supplement Poster"" poster. BBVA Compass, BBVA Securities, Inc., and BBVA NY are equal opportunity and affirmative action employer." Health Data Scientist - Biostats,"Santa Barbara, CA 93101 (Lower State area)",Evidation,"Evidation Health is a new kind of health and measurement company that provides the technology and guidance to understand how everyday behavior and health interact. The volumes of behavior data generated from wearables and smartphones has opened up new ways to analyze individuals' behavior and health in real time. With a virtual pool of 3 million research participants, Evidation Health undertakes research for innovative biopharma and health care companies to transform how diseases are identified, treated, and monitored. We're looking for outstanding data scientists who want to harness vast amounts of multi-variate time series data from connected wearables, sensors, and other mobile data to infer changes in health status and disease progression over time. We value problem-solving skills and an attitude towards learning: Our work lies at the intersection of many diverse fields including machine learning, signal processing, and epidemiology. We seek great communication and accountability, people who think people first. If you thrive on autonomy and open-ended challenges, this is the perfect opportunity to take your career to the next level. RESPONSIBILITIES ---------------- Devise model of risks based on time-series analysis Perform validation of digital measures derived from continuous signals. Ability to communicate machine learning research findings to biostatisticians and epidemiologists Write high-quality software for modular, reproducible analyses QUALIFICATIONS -------------- Minimum Qualifications:Masters or PhD in biostatistic, epidemiology, health data science, or related fields 2-3 years experience in health data science or related field(s) High level of motivation and willingness to learn new tools and ideas. Health Data Science is a nascent field where methods and concepts are quickly evolving Proficiency in R or Python Understanding of Machine Learning Preferred Qualifications:Background in genetics or similar n problems Understanding of causal inference tools: SEM, causal path diagrams Experience with repeated measurements analysis methodology, e.g., ANCOVA, panel regressions, and mixed effect models. BENEFITS -------- Health, dental, and vision benefits for you and competitive coverage for your family Relocation support Equity Flexible work hours Open vacation policy - take time when you need it Support for remote work when needed Relaxed work environment Your choice of computing equipment and gear Lots of opportunities for growth Opportunity to work on fascinating challenges that improve people's lives EVIDATION HEALTH VALUES DIVERSITY AND IS COMMITTED TO EQUAL OPPORTUNITY FOR ALL PERSONS WITHOUT REGARD TO RACE, COLOR, CREED, RELIGION, MARITAL STATUS, AGE, NATIONAL ORIGIN OR ANCESTRY, POLITICAL ACTIVITY OR AFFILIATION, PHYSICAL OR MENTAL DISABILITY, MEDICAL CONDITION INCLUDING GENETIC CHARACTERISTICS, MARITAL STATUS, SEXUAL ORIENTATION, GENDER IDENTITY, SEX OR GENDER. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------" "Senior Data Analyst, YouTube","San Bruno, CA",YouTube,"Minimum qualifications: Bachelor's degree in an analytical field or equivalent practical experience. Experience analyzing datasets using relational databases including SQL queries, database definition, and schema design. Preferred qualifications: Experience with one or more programming languages (e.g., Python, Java, C++, R, etc.). Experience building ETLs and machine learning pipelines. About the job Go-To-Market and Support Solutions (GSS) is a global team working to ensure our users get the most out of YouTube. We provide dedicated and scaled support, strategic go-to-market plan development, partnership resources, product and policy insights based on user feedback, and scaled partnership management to ensure that all partners can thrive within the YouTube ecosystem. We ensure products get to market, support users when they need help and capture user feedback to drive product excellence and market fit. Tier 2 (T2) represents the majority of partners in YouTube’s monetization program, YouTube Partner Program, who do not have access to a partner manager. The mission of the T2 organization is to scalably grow and drive partner satisfaction with YouTube, ensuring a healthy, thriving and happy ecosystem of monetizing partners. This team is responsible for the proactive and reactive scaled managed experience of all T2 partners. This team reports to the GTM & Support Solutions lead. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together. ResponsibilitiesMake business recommendations (e.g. cost-benefit, forecasting, experiment analysis) using effective presentation skills, conveying findings at multiple levels including executive leadership, managers, and peers through visual displays of quantitative information. Build and prototype analysis pipelines iteratively to provide insights at scale. Conduct non-routine end-to-end analyses, including data gathering from large and complex data sets, processing, analysis employing advanced statistical and ML methods, with ongoing deliverables to improve the quality of YouTube’s scaled offering to Tier 2 partners. Utilize excellent interpersonal skills to be able to work cross functionally with business leaders, marketing, operations, data science, strategy, and product teams in order to identify opportunities, design, and assess improvements to YouTube’s business. At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form." Data Scientist,"Palo Alto, CA 94304","PARC, a Xerox company","About the Job PARC’s Interaction and Analytics Lab (IAL) melds its world-class innovation chops with a focus on researching and developing real world applications that have market potential. Research in IAL focuses on human-machine collaboration, explainable and interactive machine learning, artificial intelligence conversation agents, computer vision, and high performance analytics. The lab’s focus extends beyond invention: the team creates new business options and opportunities. We are seeking an applied data scientist to join an interdisciplinary team of engineers developing innovative applications in a myriad of domains. Examples include marketing campaign optimization, localization of methane leaks, fault detection in electromechanical systems, creation of natural language chat agents, and traffic light video analysis. The ideal candidate is a self-starter who can take ideas from the drawing board to prototype deployment. This is an applied research and engineering position: we are seeking candidates interested in delivering innovations and results that will make real impact on the world. Responsibilities Work with other PARC technical and business development teams to define and develop new research areas and innovative business applications Listen and intelligently probe clients to negotiate useful and feasible analytics projects Clearly explain intuition behind technology options without relying on jargon – what is possible as opposed to how it is done Produce clear graphics and visualizations to explain procedures and communicate results Lead/contribute to efforts on engaging new customers and developing new business opportunities, including proposal development Actively participate in generating quality peer reviewed articles and inventions. Requirements MS or equivalent experience in Computer science or Applied Statistics Data wrangling skills: tools for ETL (loading, cleaning CSV, text delimited files, dealing with quoted fields, missing values, detecting erroneous values, etc.). Good exploratory data analysis skills - ability to visualize data in various meaningful ways specific to problem and generate insight and hypotheses Ability to use variety of core tools, classification, regression, clustering and understands something about relevance of options to various problem types (e.g., when to use naïve Bayes, logistic regression, linear SVM, boosting, random forests, neural networks etc.). Experience with standard tools such as R libraries and Python libraries such as Pandas, matplotlib, numpy, scikit-learn, etc. Experience with NLP a plus Ability to construct repeatable documented workflows for analytic processes Knowledge of the state-of-the-art in Deep Learning and applicable libraries such as Torch, Theano, TensorFlow Strong presentation and written communication skills Hands-on software and algorithm development Commitment to developing quality software Benefits We offer a very competitive salary package and full benefits (medical, dental, vision, life & disability insurance, 401K. PARC also strives for the best possible work-life balance, so employees benefit from maternity, paternity and adoption leave, as well as a variety of flexible working options. PARC employees enjoy the use of onsite health & fitness center and collegial dining at our onsite cafeteria. The PARC campus is in a spacious modern building in close proximity to the resources and opportunities of Silicon Valley and benefits from nearby leading universities such as Stanford and Berkeley. It is also close to many amenities, top schools, and outdoor activities (see http://www.parc.com/about/culture.html). PARC provides a highly diverse environment and is proud to be an equal opportunity employer (see http://www.parc.com/about/careers/). About PARC PARC, a Xerox company, is in the Business of Breakthroughs®. Practicing open innovation, we provide custom R&D services, technology, expertise, best practices, and intellectual property to Fortune 500 and Global 1000 companies, startups, and government agencies and partners. We create new business options, accelerate time to market, augment internal capabilities, and reduce risk for our clients. Since its inception, PARC has pioneered many technology platforms – from the Ethernet and laser printing to the GUI and ubiquitous computing – and has enabled the creation of many industries. Incorporated as an independent, wholly owned subsidiary of Xerox in 2002, PARC today continues the research that enables breakthroughs for our clients' businesses. PARC is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. People with disabilities who need a reasonable accommodation to apply or compete for employment with PARC should contact PARC Human Resources." Data Scientist,United States,1Thread,"We are looking for talented scientists and software engineers to join our platform team.Our Platform team develops all distributed and big data systems and applications to efficiently run 1Thread's data management, and analytics." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Scientist,"New York, NY",Alldus,"Data Scientist We are a rapidly growing financial technology company focused in making credit trading more efficient. This role is based in our global headquarters in New York About The Role: We need an entrepreneurial data scientist to join our ever growing Labs team. Our goal is to enable participants in credit markets to make the best data-driven decisions possible. What You’ll Do: Build and develop analytics and models which increase the platforms transactional volume Make contributions to bond pricing algorithms and market data analysis Power the quantitative engines that are the core of the firm and help drive our brands mission Skills & Qualifications: Degree in STEM major from a top level university Relevant experience of 3-5 years with Bachelor’s degree, or 1-3 years with PhD/Masters Strong experience with Python and R Experience modelling financial time series, ideally in bond or equity space Self-organization and entrepreneurial spirit Clear communication Benefits: Industry leading compensation Fully covered benefits including health, vision and dental Exciting office environment and help your self to the fully stocked pantry Team-oriented and collaborative company culture" Data Scientist,"Pasadena, CA",Scratch Financial Inc.,"Scratchpay is a financial technology startup, based in Los Angeles, California. We are using Big Data to put an end to economic euthanasia of pets. Our goal is to help more pets get medical care by providing smart and simple payment solutions to pet families. The credit risk team provides one of the core functions that helps us achieve our goal. The Credit Risk team makes intelligent data-driven decisions to assess incoming risk and designs data based solutions to optimize portfolio performance. We are rapidly pursuing new data sources, increasing our understanding of our customers, building new predictive models, and implementing analytical insights live - all to help the business grow and help more pet families. As a part of the Credit Risk team, you will lead projects that extract value from our unique, proprietary, and fast growing data. You will be responsible for analysis, modeling, and execution of projects that will help drive originations and reduce losses for the portfolio. If you enjoy solving problems with data and technology and want to work in an environment where analytics, product, finance, and operations blend together, this is a fantastic opportunity. In this role, you will:Explore internal and external data, and combine disparate sources of information into datasets/features for use in analysis Leverage a broad stack of technologies (Python, SQL, R) to reveal interesting insights hidden within numerical and textual data Navigate ambiguous problems with scientific method to yield actionable insights that impact the business Create models to address credit risk and fraud risk in lending. You will be involved in the whole process of model development and deployment (including root cause analysis, data collection, feature engineering, implementation, and live model monitoring) Respond to ad-hoc credit risk issues across all levels of organization We place a high degree of importance on team dynamics and have a transparent and open organization. We are a team of ambitious people who are passionate about our common goal and our respective areas of responsibility. We deliver fast, iterate continuously, and encourage rapid response to change. The ideal candidate has:Excellent problem-framing, problem solving, and project management skills M. S. or PhD degree in a quantitative field with demonstrated core statistical knowledge Strong programming and data extraction skills (we work with SQL, Python, and R) Built predictive models or decision strategies in academic research or previous work (we’d love to hear about them!) Experience with financial services datasets/problems (plus) Strong communication skills through text and speech and able to communicate effectively with technical and non-technical audience About​ ​Scratch​pay Scratchpay is the nation's leading provider of simple, affordable payment plans to help pet owners get pet care first and pay later. After launching our beta product mid 2016, Scratch is now the United States' largest provider of payment plans for veterinary care! Each year in the U.S., millions of pets do not get the care they need due to financial constraints. Scratchpay leverages proprietary data elements, advanced machine learning models and other alternative data sources in order to finance care for as many pets as possible. Through our company’s innovative approach to financial technology and our partnerships with over 4,000 veterinary practices, the total number of pets approved for financing with Scratchpay increased by almost 400% in 2018! We also pride ourselves on being the only financial services company to donate 1% of net revenue to pets in need, and for being the only mobile-first solution in the space with 24/7 availability. You can learn more about us at www.scratchpay.com [http://www.scratchpay.com]. Interested candidates can also reach out to risk@scratchpay.com [risk@scratchpay.com] for more information Additional​ ​Information At Scratch, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status." Data Scientist,"Boston, MA 02110 (Downtown area)",Klaviyo,"Klaviyo is looking for data scientists to join our team which is still in its early days. You’ll have a big impact on our direction and how we operate. You’ll be central to upfront research and shipping products that help our customers learn and grow from their data. The ideal candidate has a background in data science, statistics and machine learning and has done work ranging from exploratory analysis to training and deploying models. We use a wide variety of data mining and machine learning algorithms. The right candidate will have both a solid fundamental understanding and deep practical experience with at least a few modeling and machine learning techniques. You should have experience building models that are used by people to make better decisions. We’re focused on shipping early and often. We prefer iterative solutions that are incrementally better to the perfect solution. How you will make a difference: Analyze large data sets (we’re collecting billions of individual actions every month). Build models and ship products that enable businesses to grow faster and communicate with their customers. Democratize and open up that technology to everyone (Our background as a team is building these models for the Fortune 50). Match the right assumptions and models to the right problem. Measure and know what impact your models had on the decisions people made - e.g. did they outperform the previous best model or a human decision maker? Who you are: Posses a strong fundamental understanding and deep experience with at least some machine learning algorithms (e.g. regressions, decision trees, k-means clustering, neural networks). Understand Bayesian modeling techniques. Are capable of analyzing data and making rigorous statements about what can or cannot be concluded. Have experience designing and implementing model performance/validation assessments. Have a background in statistics and understand different distributions and the conditions under which they’re valid. Know how code and have used data science tools and packages. Have demonstrated a measurable impact based on the models you’ve created. It’s not always easy getting a model correct and we love talking about places we got stuck and working as a team to think through ideas that could unblock us. Have a desire to ship features powered by data science (in other words, you’re excited by both upfront research and actually getting models into production at cloud scale). Bachelor’s or advanced degree in statistics, applied mathematics, computer science or other relevant quantitative discipline, or equivalent industry experience. Have worked in a data science role for 2+ years professionally or academically and can talk about your projects and the techniques you used. Get to know Klaviyo Klaviyo is the world’s leading owned marketing platform known for accelerating revenue for online businesses using the channels they own like email, web, and mobile. Enabling companies to leverage these owned marketing channels, Klaviyo makes it easy to store, access, analyze and use transactional and behavioral data to power highly-targeted customer and prospect communications. And unlike other marketing platforms, Klaviyo doesn’t force companies to compromise between advanced functionality or ease of use - so companies of all sizes are able to maximize their sales quickly. That’s why over 28,000+ innovative companies like Unilever, Custom Ink and Eventbrite sell more with Klaviyo." Data Engineer,"Pasadena, CA",Deep 6 AI,"Deep 6 AI is a fast-growing tech startup in Pasadena, California looking for talented team members who want to help shape our groundbreaking artificial intelligence platform. Our software helps doctors and researchers find patients for clinical trials, getting life-saving cures to people who need them, faster. Come join a fun, scrappy team that’s using the latest tech to solve really fascinating technical problems. You’ll enjoy competitive compensation, an awesome work environment in Pasadena, and stock options in a fast-growing tech company. Forbes named us as one of the Top 50 AI companies to watch and we’re just getting started! Background: Different levels of experience welcome. Required: Strong object-oriented programming skills, with fluency in Java, Scala, or Python. Experience in the Hadoop ecosystem, ideally with MapReduce and/or Spark. Experience with different types of databases and their applications. Comfortable working in a Linux terminal (command-line interface). Experience with data modeling, particularly with Avro, Thrift, Protobuf, etc. Nice-to-haves:Experience with HIPAA compliance.Experience working with AWS or equivalent.Knowledge of natural language processing and/or machine learning.HBase or similar non-relational experience. Strong understanding of issues in distributed, eventually-consistent environments.Experience working with Electronic Health Records.Knowledge of medicine, genomics, etc. Responsibilities:Build data pipelines that are: robust and fault-tolerant; scalable and capable of handling kilobytes to petabytes of data; efficient; secure and HIPAA-compliant where necessary.Work with data scientists to deploy machine learning algorithms in a distributed computing environment.Design and deploy standardized data models capable of representing complex medical data from multiple sources. The above statements describe the general nature and level of work being performed in this job function. They're not intended to be an exhaustive list of all duties, and indeed additional responsibilities may be assigned by Deep 6. At Deep 6, we appreciate the opportunity to benefit from the diverse backgrounds and experiences of others. Because of our deep commitment to respect every individual, Deep 6 is an equal opportunity employer." Associate Data Scientist,"Chicago, IL","Blue Cross Blue Shield of IL, MT, NM, OK & TX","HCSC is looking for Associate Data Scientists to join one of our analytics teams. Data scientists work embedded in specific business areas or on our centralized enterprise analytics team to develop data science products using machine learning, data visualization, and other forms of advanced analytics. The data science community is growing rapidly at HCSC, and we are looking for new members interested in learning and collaborating to help solve business problems with data driven solutions. At the largest customer-owned and not-for-profit health insurer and fourth largest health insurer overall in the United States, you will have the opportunity to work with massive datasets to drive revenue growth, improve our operational and member-facing processes, and affect how healthcare is delivered to our 15 million members. An ideal candidate would be someone who has a track record of technical leadership and successful delivery of analytical products or projects, loves working with data, demonstrates a continuous learning and growth mindset, possesses an interest in the intersection of healthcare and technology, and has an ability to communicate complex technical concepts to non-technical audiences. There are multiple positions available and candidates will be leveled during the application and interview process. Job Purpose: This position is responsible for using advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems. Performs complex statistical analysis on experimental or business data to validate and quantify trends or patterns identified by business analysts. Constructs predictive models, algorithms and probability engines to support data analysis or product functions; verifies model and algorithm effectiveness based on real-world results. Designs experiments and methodologies to generate and collect data for business use. Required Job Qualifications: Bachelors degree and 1 year of work experience in an advanced mathematical, statistical, engineering, physics or related quantitative field; OR Actuarial credential or Master's degree in an advanced mathematical, statistical, engineering, physics or related quantitative field without experience; OR 6 years experience in an advanced mathematical, statistical, engineering, physics or related quantitative field. Learning and growth mindset.Learning and growth mindset.Customer-focused.Interpersonal, verbal and written communication skills. Experience in at least three of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare.Microsoft applications including Access, Excel, Word and Power Point. Preferred Job Qualifications: Masters or Ph.D. in a quantitative field, or bachelors degree with significant healthcare experience.Strong coding experience in SQL, R, and/or Python.Experience working with healthcare data This position is based in Chicago, IL. Relocation will not be provided for this position. CAHCSC is committed to diversity in the workplace and to providing equal opportunity and affirmative action to employees and applicants. We are an Equal Opportunity Employment / Affirmative Action employer dedicated to workforce diversity and a drug-free and smoke-free workplace. Drug screening and background investigation are required, as allowed by law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Requirements: Expertise Data Science Job Type Full-Time Regular Location IL - Chicago HCSC is committed to diversity in the workplace and to providing equal opportunity and affirmative action to employees and applicants. If you are an individual with a disability or a disabled veteran and need an accommodation or assistance in either using the Careers website or completing the application process, you can call us at 1-866-977-7378 to request reasonable accommodations. Please note that only requests for accommodations in the application process will be returned. All applications, including resumes, must be submitted through HCSC's Career website on-line application process. If you have general questions regarding the status of an existing application, navigate to ""my account"" and click on ""View your job submissions""." Data Scientist,"Hunt Valley, MD 21030",ZeniMax Media Inc.,"Job Description: Global video game publisher/developer headquartered in Rockville MD, seeks an entry Level Data Scientist to join the Enterprise Business Intelligence team in Hunt Valley, MD. This position works within the Enterprise BI Team and is responsible for the reporting and analytics for game, customer, and business data. The Data Scientist will be focusing on supporting analytic needs from all facets of the business, including e-commerce, finance, and game event data. The incumbent will have at least 1-2 years of relevant experience partnering with both technical and business teams to facilitate analytics and reporting. The Data Scientist will be responsible for validating incoming data, facilitating creation of reports, aiding advanced Data Scientists in analytics, making sure reports align with business requirements, and confirming that internal and external developed systems properly meet the need of populating said data models." Data Science Engineer (Data Scientist),"Palo Alto, CA",Plume,"Job summary Join a small, highly skilled data science team using state of the art machine learning and data analysis to improve Wi-Fi networking. This position offers the unique opportunity to apply data science to a new area (wireless networking) which itself is deep and scientific. We are engaged in solving difficult problems in prediction, optimization, clustering, and anomaly detection. The data itself is huge in scale, encompassing measurements from millions of users worldwide at time granularity of seconds. And, your work will improve the performance of cool consumer products that your friends are buying! Responsibilities Utilize machine learning techniques to develop: Predictive models of network parameters such as load and interference Networking anomaly detection Client behavior classification Predicting customer satisfaction and behaviors Deriving estimates of load, capacity, link rates, etc. from noisy raw measurements Develop data analysis and dashboards to represent the network statistics we are gathering Specifying tools and data pipelines to enable real time processing and offline processing Qualifications Strong ability in Python or Scala, good coding skills Experience working with large databases, high volumes of data Familiarity with concepts from statistics Experience and fundamental understanding of machine learning techniques Bachelor's degree or higher in Electrical Engineering, Computer Science, or Statistics Experience Desired Some experience or background with networking is desired. It is preferred if the candidate has experience applying big data/machine learning to networking Real time algorithm development and implementation (responding to changing inputs in seconds) Experience estimating processing and communications requirements for various data pipelines/learning systems Experience with a range of data analysis techniques: linear regression, random forest, clustering, factor analysis, supervised and unsupervised learning, STL analysis, graph algorithms, etc." Data Scientist | Darden | Orlando,"Orlando, FL",Photon,"Data Scientist | Darden | Orlando - (007313) Description Work with Structured and unstructured data primarily on Azure platform Ability to work with AI / MI / DS tools like Alteryx ™ to create business Insights Work with Data sources & varied set of tools residing on Azure Assist with visualization using tools like Tableau / MS Dossier / Power BI / Business Objects ( SAP ) etc. Predictive Analytics using raw or processed data Use R & Python to Analyze dataQualifications 8 + years in Statistical sciences Based out of Greater Orlando Area Primary Location: US-FL-Orlando Work Locations: Florida Orlando Job: Development Organization: US_Interactive Contractual Shift: Standard Employee Status: Individual Contributor Job Level: Day Job Job Posting: Feb 11, 2020, 9:48:43 AM" AppD Data Scientist Master's (Intern) United States,"San Francisco, CA",Cisco Systems,"About Us AppDynamics is the Application Intelligence company. With AppDynamics, enterprises have real-time insights into application performance, user performance and business performance so they can move faster in an increasingly sophisticated, software-driven world. Our integrated suite of products is built on our innovative, enterprise-grade App iQ Platform that enables our customers to make faster decisions that enhance customer engagement and improve operational and business performance. AppDynamics is uniquely positioned to enable enterprises to accelerate their digital transformations by actively monitoring, analyzing, and optimizing complex application environments at scale which has led to proven success and trust with the Global 2000. About the Role: As part of Data Science team, the Intern will work on developing python scripts for data gathering and analysis. He/she will work under the supervision and receive mentorship from data scientists and/or data engineers. A successful candidate is expected to have background knowledge in machine learning and statistics, be skilled at python programming, and be comfortable working in a dynamic and fast-paced environment. Responsibilities: Develop Python for gathering, transforming, and analyze data Prototype data science algorithms supporting product feature development On demand data exploration to support various business cases Experience and Skills: B.S. or current enrollment in Computer Science, or related field Experience with Python and machine learning Good verbal/written communication and multitasking skills Ability to present complex technical information in a clear and concise manner Just a note Note to Recruiters and Placement Agencies: AppDynamics does not accept unsolicited agency resumes. Please do not forward unsolicited agency resumes to our website or to any AppDynamics employee. AppDynamics will not pay fees to any third party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered property of AppDynamics. AppDynamics is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or any other unlawful factor. AppDynamics complies with all applicable laws , including those regarding consideration of qualified applicants with criminal histories (such as the San Francisco Fair Chance Ordinance). If your disability makes it difficult for you to use this site, please contact recruiting@appdynamics.com. AppDynamics participates in E-Verify . #appd_jobs" Population Health Data Scientist,"Pittsboro, NC",Chatham County,"The Chatham County Public Health Department’s mission is to build a healthy Chatham County through community partnerships and a commitment to equity. The primary purpose of the Population Health Data Scientist (Social Research Associate II) position is to lead the monitoring of population health status in Chatham County, including identifying disparities in health outcomes. This position is responsible for gathering both primary and secondary data and communicating health information to the public. The Population Health Data Scientist works with health promotion and policy, communicable disease, environmental health, clinical, and administration staff, as well as external partners, to effectively use epidemiological data to design initiatives and evaluate progress toward department goals. The position leads the Community Assessment process, including overseeing data collection through the Chatham Community Cohort Assessment and secondary sources, composing the report, developing data dashboards and additional platforms to share data, and presenting findings to key stakeholders and residents. It also facilitates the Epi Team and coordinates emergency preparedness and response efforts in collaboration with other staff. This position also supports the work of the Chatham Health Alliance and its subcommittees. Specific responsibilities include: Coordinating the Community Assessment process, including the Chatham Community Cohort Assessment Communicating data to the public through reports, dashboards, and presentations Assisting staff with data analysis and evaluation Working across divisions (e.g., health promotion and policy, environmental health, clinical services and communicable disease) to gather and analyze data and facilitate data-driven decision making Facilitating Epi Team meetings Coordinating emergency preparedness and response efforts Serving as a data and assessment resource for the broader community and community partners, representing the health department on steering committees or other groups as they relate to assessment Assessing progress toward the Healthy People 2030 goals and updates statistics as necessary Incorporating an equity lens into data collection, analysis, and reporting Developing and updating online data dashboards Advancing partnerships between academic institutions and the public health department, including pursuing academic health department designation Identifying, planning, and coordinating student projects, including recruiting and managing student interns and teams Skills: Training in public health and epidemiology Ability to conduct epidemiological studies or surveys and to perform statistical analyses Knowledge of and ability to develop and evaluate surveillance systems and methods Knowledge and experience with statistical software Ability to interpret and evaluate surveillance data Effective oral and written communication skills Ability to prepare clear and concise reports Ability to take initiative and work semi-independently Skills in data editing, data analysis, report writing Knowledge of design methodology and statistical methods used in epidemiological studies Experience developing data dashboards preferred Understanding of implicit bias and how to evaluate programs and health of a population with an equity lens. Minimum Qualifications: Completion of coursework for a four-year college degree in sociology, economics, psychology or related social science, including coursework in statistics, research methodology, computer science, and/or other coursework directly related to the work to be performed, and two years of progressively responsible experience in gathering, editing, and analyzing data for social and economic research, preferably including experience in the particular program area; or an equivalent combination of education and experience. (Coursework toward a master's degree in an area related to the work to be performed may be substituted for some or all of the experience.) Master’s degree in Public Health, with a focus on Epidemiology or Biostatistics, strongly preferred. Salary Grade 66 ($53,473-68,178)Position Closing Date March 15, 2020; 5:00pm Chatham County is an equal opportunity employer" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Hollywood, CA 90028",Ticketmaster,"Job Summary: Awesome Job: Sr. Data Scientist Great Location: Hollywood, CA Who we are. We’re fans who help fans everywhere get in to the live events they love. A proud division of Live Nation Entertainment, Ticketmaster has changed the way the world connects with their favorite artists, teams, and shows, and we continue to shape innovation every day. We’re not just a ticketing and technology platform, we’re the dedicated team members who work to enrich lives one amazing experience at a time. And we think that’s pretty amazing. If you’re passionate about the magic of live entertainment like we are, and you want to work at a company dedicated to helping millions of fans experience it, we want to hear from you. Why you should work with us. Our biggest investment is in our people. We intentionally strive to cultivate, create and celebrate a culture of belonging where our employees feel respected and empowered. That is why we're committed to increasing the diversity of our workforce by fostering a truly inclusive community. We offer comprehensive health benefits, 401k matching and student loan assistance, plus career-boosting opportunities like tuition reimbursement and targeted development sessions to help all eligible employees thrive. At Ticketmaster, expect the fast-paced excitement of a startup with the rock-solid support from an industry leader – with plenty of ticket perks on the side. See what it’s like working at Ticketmaster. The role: We are looking for a Data Scientist who is passionate about discovering insights hidden in large data sets, creating product solutions, and find opportunities for process optimization. You will be working with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. You will have the opportunity to build models and see them all the way into production. We value, as one of our core competencies, a data-driven approach. Our mandate is to use quantitative data on very large scales to deliver unique and novel insights into our customers' interests. What the job is: Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies Serve as resident expert in statistical analysis, including model development, validation, and maintenance Query, transform, and integrate data from multiple sources and structures and carry out data cleansing and normalization tasks to ensure data integrity Designing and implementing machine learning algorithms ranging from feature engineering, feature selection, clustering, predictive scoring and classification Construct models to predict consumer behavior, propensities, preferences, lifetime value, and retention Develop processes and tools to monitor and analyze model performance and data accuracy Work with internal data engineering team to automate model implementation Conduct ad-hoc analysis and presenting results to internal and external stakeholders Interact with internal and external clients to develop hypotheses, scope project requirements, formulate and execution analyses, and present results and recommendations Our job descriptions evolve with our business need and priorities. In addition to the description above, your role may include additional projects and team support as needed. What a qualified candidate should possess: 5+ years of experience using statistical and computer languages (R, Python, SQL, Java, AWS EMR, Sagemaker , Hadoop, Spark, Kafka, and etc.) Knowledge and experience of creating advanced statistical and machine learning models and algorithms (linear and logistic regression, PCA, cluster analysis, neural network, random forest, etc.) Strong machine learning background both on supervised and unsupervised algorithms Strong problem solving skills and ability to work independently Ability to communicate complex analytic results and insights a wide range of stakeholders and functional teams Experience with data visualization tools (Tableau, Domo, etc.) Degree in Computer Science, Statistics, Mathematics, Physics, or related field - Advanced degree is a plus Equal Employment Opportunity Ticketmaster strongly supports equal employment opportunity for all applicants regardless of age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation. We will consider qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Ordinance, for applicants in Los Angeles, California, and consistent with applicable laws in other areas. Hiring Practices The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job." Data Scientist CS-0101-13,"Washington, DC",Government of the District of Columbia,"This position is located in the DC Criminal Justice Coordinating Council (CJCC), an independent District of Columbia agency. CJCC’s mission is to serve as the District of Columbia’s forum for District and federal members to identify cross-cutting local criminal and juvenile justice system issues and achieve coordinated solutions for the criminal and juvenile justice systems. CJCC also facilitates and supports member-identified priorities, strategies and initiatives that will improve public safety and related criminal and juvenile justice services for District of Columbia residents, visitors, victims and justice-involved individuals. Duties and Responsibilities Identifies and executes opportunities to harness data analytic approaches that provide insight into and achieve priority goals established by CJCC Members and the Executive Director. Obtains, merges, reshapes, cleans and evaluates the quality of datasets. Automates data pulls, manipulations and other rote activities to enable efficient agency operations. Uses descriptive statistics, predictive analytics, machine learning and other methods to learn about and derive insights from the patterns and relations within a dataset. Uses inferential statistics to learn about the causal relations between variables in a dataset, including randomized field evaluations. Creates intuitive and compelling graphics to visualize and think about data. Creates data dictionaries, annotated code and similar materials to ensure work products are as open and reproducible as possible. Proactively, provides ideas and critical feedback – as well as being open to such constructive dialogue – as part of constantly improving CJCC’s collective work output. Ensures that work products adhere to methodological and open science best practices. Presents the results of analysis conducted by CJCC, both orally and in writing, in a way that is accessible for diverse audiences, including scientific experts, government practitioners and public stakeholders. Helps to disseminate scientific lessons, tools and best practices across the District’s criminal and juvenile justice agencies. Performs other related duties as assigned. Qualifications and Education Degree: behavioral or social science; or related disciplines appropriate to the position. OR Combination of education and experience that provided the applicant with knowledge of one or more of the behavioral or social sciences equivalent to a major in the field. OR Four years of appropriate experience that demonstrated that the applicant has acquired knowledge of one or more of the behavioral or social sciences equivalent to a major in the field. Licenses and Certifications None. Working Conditions/Environment Work is generally performed in an office setting and involves normal everyday risks and discomforts. The incumbent may, however, be required to visit staff at other government, public and private agencies. Some travel is required. Attendance at designated meetings on days, evenings and weekends may be required. The work is mostly sedentary. There may be some walking, standing, bending, stooping and the carrying of light items such as papers and books. Other Significant Facts Tour of Duty: Monday – Friday 8:15 a.m.- 4:45 p.m. Pay Plan, Series, Grade: CS-0101-13 Promotional Potential: None Collective Bargaining Unit (Non-Union): This position is not covered under a collective bargaining unit. Duration of Appointment: Career Service – Regular Position Designation: Security Sensitive: The incumbents of this position will be subject to enhanced suitability screening pursuant to Chapter 4 of DC personnel regulations, Suitability. EEO Statement: The District of Columbia Government is an Equal Opportunity Employer. All qualified candidates will receive consideration without regard to race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, family responsibilities, matriculation, physical handicap, or political affiliation. If the position you are applying for is in the Career, Management Supervisory, or Educational Service at an annual salary of one hundred fifty thousand dollars ($150,000) or more, you must establish residency in the District of Columbia within one hundred eighty (180) days of the effective date of the appointment and continue to maintain residency within the District of Columbia throughout the duration of the appointment." Data Scientist,"Hunt Valley, MD 21030",ZeniMax Media Inc.,"Job Description: Global video game publisher/developer headquartered in Rockville MD, seeks an entry Level Data Scientist to join the Enterprise Business Intelligence team in Hunt Valley, MD. This position works within the Enterprise BI Team and is responsible for the reporting and analytics for game, customer, and business data. The Data Scientist will be focusing on supporting analytic needs from all facets of the business, including e-commerce, finance, and game event data. The incumbent will have at least 1-2 years of relevant experience partnering with both technical and business teams to facilitate analytics and reporting. The Data Scientist will be responsible for validating incoming data, facilitating creation of reports, aiding advanced Data Scientists in analytics, making sure reports align with business requirements, and confirming that internal and external developed systems properly meet the need of populating said data models." Junior Customer Data Analyst,"Santa Barbara, CA",Briq,"The Startup Located in breathtaking downtown Santa Barbara, centered in the vibrant, up-and-coming Haley Corridor, Briq is altering the landscape for construction decision making. We are harnessing the power of data to build the industry's first construction data cloud. Leaders in automation, machine learning, and artificial intelligence, Briq is delivering deep insights empowering construction professionals to drive better outcomes. The Skinny Briq is creating amazing products and even better teams. We are growing fast and are looking for great people to join us. We are seeking an energetic and self-starting Customer Data Analyst to play a critical role in our accelerated growth. Our team of strategists, leaders, data scientists, and change-makers are revolutionizing the world by providing optimized tools that improve decision-making in one of the most changing industries today. Our clients are among the largest builders in the world; responsible for creating the infrastructure you thrive on and building the places where you live, work and play. They are hungry for better, smarter data and we are hungry for your talents to help make it happen. The Skill The Briq Customer Data Science team is looking for a Customer Data Analyst to accelerate growth. In this role, you are responsible for delivering dependable and valuable insights to Briq clients. You will indulge your passion for developing business metrics and insights from complex datasets. You will work closely with construction company executives, project managers, ETL engineers, software development engineers, and product managers to produce reports and analyses that provide our clients with deep insights. You are able to turn ambiguous business questions into clearly defined problem sets, research and develop quantifiable metrics, implement Extract-Transform-Load (ETL) processes, and deliver high quality results on time. You enjoy designing insightful reports and compelling data visualizations with high attention to quality, and want to automate everything you have built. To be successful, you: Deliver project charters with timelines, milestones, and regular updates to clients through project management principles & techniques. Maintain above-industry levels of client retention Deliver high quality, trusted, results with zero data-defectsOn a normal day at Briq HQ, a Customer Data Analyst can be found: Analyzing new data from multiple public and private sources, and instruct the necessary teams with how to ingest, transform, analyze and present the results to answer complex questions about our clients' business Developing records management processes and policies Conceptualizing dashboard wire-frames with the goal of enabling data-driven decision making Presenting complex topics to key client stakeholders and senior executives Delivering recommendations to our clients on how to improve construction KPIs Ensuring models and results are implemented correctly in the Briq platform Work with ETL engineers and clients to improve client's data hygiene Share the reports for internal and external audiences using the Briq platform Write SQL queries to extract data from the data warehouse Define and work with ETL, automation, and product teams to establish and maintain automated data processes Exercise extreme level of due diligence in regards to client data quality The Standard To succeed in this role and at Briq, you are driven, dedicated, and committed to advancing your career. You hustle, collaborate, innovate, have an unmatched attention to detail, and are constantly challenging yourself to learn and grow. You LOVE to learn new things and adapt easily when trajectories pivot. You have an insatiable curiosity we will struggle to please and mad communications skills. You're empathetic, enthusiastic, and eager to work harder than you ever have before. You have a great attention to detail and pride yourself in delivering projects with the highest levels of quality.. Furthermore, you're the type of person who is energized by and embraces the challenge of managing multiple complex projects simultaneously. And you enjoy tackling challenges head on and innovative problem solving. You have 1-2 years experience in a related field. You hold at least a Bachelor's Degree in mathematics, statistics, or business with an analytics focus. You are experienced in statistical methodologies, complex modeling, data cleansing, and data enriching techniques. You succeed because you have strong project management skills and a combination of analytical skills, intellectual curiosity, creative problem solving, reporting acumen and strong technical skills. You have some knowledge of SQL, R, or Python. You love to tell compelling stories built on a foundation of data and supported by exceptional visualizations. And you are comfortable presenting these stories and engaging in business and data discussions with company executives. Briq is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you think you have what it takes to thrive here, we want you!" Graduate Studies Program - Data Scientist,"Washington, DC",Central Intelligence Agency,"As a Data Scientist Graduate Intern for the CIA, you will work side-by-side with other Data Scientists to organize and interpret data to inform US decision makers, drive successful operations, and shape technology and resource investments. Through CIA's global mission, the Agency has access to unique and highly specialized data. You will work with advanced hardware, software, and techniques to develop computational algorithms and statistical methods to identify patterns and relationships in large volumes of data. Data Scientists clearly communicate their conclusions to a diverse audience and develop technical expertise via hands-on experience and continuous learning, including Agency-sponsored training, academic conferences, and other professional development activities. The Graduate Studies Program allows you and the Agency to assess opportunities for permanent employment following your completion of Graduate school. Offices of the CIA – Directorate of Digital Innovation The Directorate of Digital Innovation (DDI) is at the forefront of defining the future of digital expertise within the CIA. DDI focuses on developing the workforce with cutting-edge skills, investing in IT infrastructure, and modernizing the way the Agency does business. DDI officers help accelerate the integration of innovative methods and tools to enhance the CIA's cyber and digital capabilities on a global scale and ultimately help safeguard our nation. Learn more about the Directorate of Digital Innovation. See our work in action: Life at CIA In addition to a comprehensive benefits package, the CIA offers exciting career opportunities and a dynamic environment. We're on the forefront of world-altering events – as they happen. So working here isn't just a job, it's a mindset and a lifestyle. US citizenship required (dual-national US citizens eligible). All positions require relocation to the Washington, DC metro area. Minimum Qualifications: Bachelor's degree Enrolled in a graduate program of study as a full-time student GPA of at least 3.0 on a 4-point scale Expertise in working with data using a combination of mathematics, computation, or visualization and interaction Experience through thesis research, internships, or work experience in a science, technology, engineering or mathematics (STEM) related field, such as: Computational social science Computer science Data analytics Economics Engineering Geospatial analysis Mathematics Operations research Physics Quantitative finance Statistics Availability to work at least one 90-day tour prior to graduation Attending school on a full-time basis before/following this internship Creativity Initiative Integrity Leadership abilities Problem solving skills Ability to work in a diverse team environment All applicants must successfully complete: A thorough medical and psychological exam A polygraph interview A comprehensive background investigation To be considered suitable for Agency employment, applicants must generally not have used illegal drugs within the last 12 months. The issue of illegal drug use prior to 12 months ago is carefully evaluated during the medical and security processing." CORE - Data Scientist,"Seattle, WA 98115 (Ravenna area)",Logic20/20,"Data Scientist Seattle, WAAbout the Role. . . This role requires an in-depth understanding of statistics, as well as basic programming and data management skills. Success will require strong statistical problem-solving skills and the ability to leverage cutting-edge big data technologies. You like to . . . Create frameworks to predict a variety of outcomes in different scenarios Create models of customer satisfaction that provide detailed insight into what causes a customer to take different actions Collaborate with other data scientists and stakeholders on projects You’re Good At Researching and designing statistical models to answer target questions, optimizing processes and outcomes, and informed decision-making Developing solutions in R or Python Developing production grade solution is a huge plus Working in Hadoop, Redshift, or Spark Translating business and product questions into analytics projects Communicating clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights Qualifications. . . Good Knowledge of SQL (3+ years) creating advanced queries in a high impact role. Must have experience with Web Analytics. Knowledge of Statistics and Machine Learning techniques. 3+ years building statistical models/evaluating/Feature selection in a high impact role. Knowledge of the latest NLP techniques Masters in Stats, computer science or related field Knowledge of R or Python (3+ years) Knowledge of C# (at least 1 year) Experience building data pipelines A portfolio of NLP projects to showcase and discuss Experience in marketing analytics, attribution modeling, or click-stream data analysis MS / PhD in Machine Learning, Statistics, Computer Science, Data Mining, Math or any quantitative discipline About Logic20/20. . . Logic20/20 is one of Seattle’s fastest growing full-service consulting firms. Our core competency is creating simplicity and efficiency in complex solutions. Although we make it look like magic, we succeed by combining methodical and structured approaches with our substantial experience to design elegant solutions for even the most intricate challenges. Our rapid growth is in response to our ability to deliver consistently for our clients, which is directly related to the quality of the people we hire. The past four years, we’ve been in the top 10 “Best Companies to Work For” ….. why? Our team members are highly self-motivated, comfortable conceiving strategies on the fly, and enjoy working both individually and as part of a team. Our environment is very high-energy and demanding, and individuals with remarkable enthusiasm and a can-do attitude are joining our team. We have lots of fun, focus on our employees and our clients, and work to bring our best to every opportunity." AppD Data Scientist Master's (Intern) United States,"San Francisco, CA",Cisco Systems,"About Us AppDynamics is the Application Intelligence company. With AppDynamics, enterprises have real-time insights into application performance, user performance and business performance so they can move faster in an increasingly sophisticated, software-driven world. Our integrated suite of products is built on our innovative, enterprise-grade App iQ Platform that enables our customers to make faster decisions that enhance customer engagement and improve operational and business performance. AppDynamics is uniquely positioned to enable enterprises to accelerate their digital transformations by actively monitoring, analyzing, and optimizing complex application environments at scale which has led to proven success and trust with the Global 2000. About the Role: As part of Data Science team, the Intern will work on developing python scripts for data gathering and analysis. He/she will work under the supervision and receive mentorship from data scientists and/or data engineers. A successful candidate is expected to have background knowledge in machine learning and statistics, be skilled at python programming, and be comfortable working in a dynamic and fast-paced environment. Responsibilities: Develop Python for gathering, transforming, and analyze data Prototype data science algorithms supporting product feature development On demand data exploration to support various business cases Experience and Skills: B.S. or current enrollment in Computer Science, or related field Experience with Python and machine learning Good verbal/written communication and multitasking skills Ability to present complex technical information in a clear and concise manner Just a note Note to Recruiters and Placement Agencies: AppDynamics does not accept unsolicited agency resumes. Please do not forward unsolicited agency resumes to our website or to any AppDynamics employee. AppDynamics will not pay fees to any third party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered property of AppDynamics. AppDynamics is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or any other unlawful factor. AppDynamics complies with all applicable laws , including those regarding consideration of qualified applicants with criminal histories (such as the San Francisco Fair Chance Ordinance). If your disability makes it difficult for you to use this site, please contact recruiting@appdynamics.com. AppDynamics participates in E-Verify . #appd_jobs" Data Scientist,"Los Angeles, CA 90013 (Downtown area)",Deloitte,"Deloitte Services LP includes internal support areas such as Sales Excellence, Marketing and Communications, Human Resources/Talent, Information Technology, Facilities Management, and Financial Support Services. Data Scientist The Data Scientist provides direct support to GPS Sales Excellence by providing sales and pipeline analytics of Deloitte’s Customer Relationship Management (CRM) system (Salesforce), business development artifacts, and client documents. The GPS Data Scientist is responsible for collaborating with Leadership and other Enabling Areas to understand their processes and data and therefore determine the most efficient and cost-effective manner to provide insights and subsequently predictive analyses on our bidding strategies, pipeline, and future sales. This individual will apply natural language processing/machine learning to facilitate research, gather, and design processes and/or use technology to mine various business development artifacts, such as proposals, client documents, competitive research, and other corporate data repositories to identify ways to improve our win rate. The data scientist will also need to integrate data from disparate sources into an efficient and intuitive rational database structure. Work you’ll do As a Data Scientist within our team you will: Assist Sales Excellence leaders with Mercury sales and pipeline data analyses Coordinate with other internal organizations to understand business development processes and data Provide recommendations and predictive analysis to senior leaders on improving bid strategies and subsequently win rates. Qualifications 10 years’ work experience (minimum) Master’s degree, preferably in a government or public Sector, or an analytics related discipline Professional customer service manner and ability to interact with all levels of management and leadership Excellent written and verbal communication skills Demonstrated ability to multi-task and manage competing high priority demands Advanced skills in SAP and Oracle SQL Advanced skills in: machine learning, natural language processing, text analytics, predictive analytics, data modeling, and entity resolution, Linear Regression, Nonlinear Regression/Nonlinear Analysis, Network Analysis, Graph Databases, Network Graphs, Graph Data, Unstructured Data, Cyber Analytics Proficiency in development tools/languages: R-expert, RStudio- R-expert, Python-project experience, Jupyter- project experience, SAS-expert, Java-project experience, Git, GitHub, GitLab, MS SharePoint, Spark, Zoom Data, Tableau, Hadoop, AWS Client, Neo4j, Oracle SQL Server, Oracle MySQL, Toad Preferred Minimum of 3-year experience in Government procurement/Capture/Proposal management Minimum of 5-year business writing experience Detail-oriented with excellent follow-through skills Team-oriented Experience working independently and comfort working with remote colleagues Strong relationship building/relationship management skills Ability to work in a fast-paced, high-volume, and often ambiguous/fast-changing matrix environment Rosslyn, VA office preferred; other Deloitte office locations or remote considered. Minimal travel required. How you’ll grow At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Center. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Recruiter tips We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you’re applying to. Check out recruiting tips from Deloitte professionals. As used in this posting, “Deloitte” means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law." Data Scientist - AI Labs,"Palo Alto, CA 94301 (Professorville area)",BlackRock,"Description About this role Data Science at BlackRock: In February 2018, BlackRock announced the creation of a new central Data Science team in order to accelerate innovation and technology in artificial intelligence, and to have firm-wide impact using data science to solve strategic problems. With BlackRock managing more assets than anyone in the world, there is a rich problem space for data scientists and engineers across all areas of the business including investments, sales, marketing, operations, product, UX, etc. and the potential to have large scale impact. The team you’d be part of: In the first year, the team has grown to 30+ data scientists and data engineers. The team works collaboratively; and is a multi-disciplinary team with the following skills and capabilities: machine learning, statistical modeling, exploratory data analysis, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, project /product management and strategy. We work with data from a wide variety of sources including text, news feeds, financial reports, time series transactions, user behavior logs, imagery, and real-time data. As this is a new team, we will be in start-up mode, so you would be helping to build and shape the team and culture from the ground up. You should therefore be comfortable with ambiguity and willing to be pro-active in your contributions, and evolve as the team grows. We are looking for candidates with unique backgrounds and diverse skill sets with fresh perspectives to accelerate and amplify our efforts to make an impact at BlackRock. Data Science Core aims to bring best of class technologies, analytics, and insights to the entirety of the firm and to our clients utilizing data from a wide variety of sources including text, news feeds, financial reports, time series transactions, logs, imagery, and real-time data. Check this out: BlackRock in the News The Role: As a Product Manager for Trading in the AI Labs you will play a key role in defining BlackRock’s AI trading capabilities. The main focus for this role is building trading systems using artificial intelligence with a focus on increasing revenue. You will work in close collaboration with traders, Data Scientists, and Data Engineers to build next generation trading strategies. What you'll do:Work with partners and stakeholders to develop a 12-month roadmap for revolutionizing trading using artificial intelligence. You will facilitate user testing, feedback, and transparency of AI Labs products within BlackRock’s Trading organization.Work in an agile environment with multiple cross functional data science and engineering squads to deliver to the roadmap.Collaborate with stakeholders and squads to deliver and operate solutions in production.Explore new partnerships to expand BlackRock’s AI capabilities to generate revenue, reduce risk, or increase efficiencies. You will help determine product requirements and work with technical leads to ensure AI algorithms always stay relevant to those requirementsYou’ll help define the art of the possible by creating data-driven algorithms for trading.Partner with AI Labs leads to make sure that your team is strong and healthy – including capabilities, happiness, resilience and growth.Ensure your team is doing the right things, while not spreading too thin. Who you are:You are comfortable facilitating planning and decision-making across several teams, including stakeholders, and know how to inspire, motivate and support a team to get things done. You can adapt and prioritize new product features within a dynamic environment.You have experience working as a senior leader in software engineering, especially in large-scale distributed architecture, delivering data-driven products. You understand the data science lifecycle from research to product.You have experience in finance or a desire to learn about investment management. You are comfortable managing vendor data relationships.You can translate your and your team’s knowledge and experience to a strategy and prioritized backlog.You are good at communicating concepts and ideas to technical and non-technical stakeholders at all levels, in different shapes depending on the contextYou have experience with data driven product development and knowledge of agile methodologies About BlackRock BlackRock’s purpose is to help more and more people experience financial well-being. As a fiduciary to investors and a leading provider of financial technology, our clients turn to us for the solutions they need when planning for their most important goals. As of December 31, 2019, the firm managed approximately $7.43 trillion in assets on behalf of investors worldwide. For additional information on BlackRock, please visit www.blackrock.com/corporate | Twitter: @blackrock | Blog: www.blackrockblog.com | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. We recruit, hire, train, promote, pay, and administer all personnel actions without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping (including assumptions about a person’s appearance or behavior, gender roles, gender expression, or gender identity), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law. We interpret these protected statuses broadly to include both the actual status and also any perceptions and assumptions made regarding these statuses. BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law." Statistician I,"Los Angeles, CA",USC,"The Office of Institutional Research is seeking a Statistician I position to develop quantitative/analytic models, and perform data analysis at the request of academic stakeholders. This position will perform data collection, data management, and conduct statistical analyses responding to data requests from the Office of the Provost, and academic departments within the university. The Statistician I participates in planning, design and development of complex research protocols, and reports for publication. This position oversees maintenance of computer software and hardware, writes computer programs as needed, and supervises data entry/programming staff. This position recommends and implements procedures related to data collection, management, and quality control. The Statistician I develops input methodology, and data file structure in response to the unique needs of our academic units and administrative operations. This role will oversee data-collection efforts and maintenance of data files, including backups and hard copies. Schedules, assigns and prioritizes workloads for the Office of Institutional Research. Sets appropriate deadlines, and ensures timely completion of all research, standard and customized reports. Performs data analysis using statistical tools including TABLEAU, SPSS, and R. Reviews results for anomalies, investigates to determine cause and ensures accuracy of all data. Assists in interpretation of results, and prepares tables or graphs for inclusion in reports and special customized databases. The Statistician I is responsible for the development of quantitative and statistical models to support business initiatives for the Office of the Provost, Admission and Planning, and all academic departments. Installs, tests, modifies and maintains computer programs for statistical analysis as needed. The Office of Institutional Research reports to the Office of Admissions and Planning. Other duties will include: Managing course evaluation and survey administration activities Extract data, run analysis and publish information Editing, fact-checking, and compiling ad hoc reports Supervising part-time research analysts Developing better reporting and extracting systems Build, deploy and scale programs in PYTHON Perform quantitative data analysis using a variety of statistical applications Perform logical batched and non-batched statistical analysis using SPSS Run customized SQL queries Please submit a cover letter and resume as part of your application. Minimum Education: -Master's degree -Combined experience/education as substitute for minimum education Minimum Experience: -2 years -Combined education/experience as substitute for minimum experience Minimum Field of Expertise: -Biometry, Biostatistics or Statistics; mainframe computer and PC experience; experience with SAS, Epilog, BMDP, GLIM or SPSS Preferred Experience: -Three years -Significant experience conducting web-based surveys and course evaluation activities; proven expertise using TABLEAU, Python and R language programming" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Statistician I,"Los Angeles, CA",USC,"The Office of Institutional Research is seeking a Statistician I position to develop quantitative/analytic models, and perform data analysis at the request of academic stakeholders. This position will perform data collection, data management, and conduct statistical analyses responding to data requests from the Office of the Provost, and academic departments within the university. The Statistician I participates in planning, design and development of complex research protocols, and reports for publication. This position oversees maintenance of computer software and hardware, writes computer programs as needed, and supervises data entry/programming staff. This position recommends and implements procedures related to data collection, management, and quality control. The Statistician I develops input methodology, and data file structure in response to the unique needs of our academic units and administrative operations. This role will oversee data-collection efforts and maintenance of data files, including backups and hard copies. Schedules, assigns and prioritizes workloads for the Office of Institutional Research. Sets appropriate deadlines, and ensures timely completion of all research, standard and customized reports. Performs data analysis using statistical tools including TABLEAU, SPSS, and R. Reviews results for anomalies, investigates to determine cause and ensures accuracy of all data. Assists in interpretation of results, and prepares tables or graphs for inclusion in reports and special customized databases. The Statistician I is responsible for the development of quantitative and statistical models to support business initiatives for the Office of the Provost, Admission and Planning, and all academic departments. Installs, tests, modifies and maintains computer programs for statistical analysis as needed. The Office of Institutional Research reports to the Office of Admissions and Planning. Other duties will include: Managing course evaluation and survey administration activities Extract data, run analysis and publish information Editing, fact-checking, and compiling ad hoc reports Supervising part-time research analysts Developing better reporting and extracting systems Build, deploy and scale programs in PYTHON Perform quantitative data analysis using a variety of statistical applications Perform logical batched and non-batched statistical analysis using SPSS Run customized SQL queries Please submit a cover letter and resume as part of your application. Minimum Education: -Master's degree -Combined experience/education as substitute for minimum education Minimum Experience: -2 years -Combined education/experience as substitute for minimum experience Minimum Field of Expertise: -Biometry, Biostatistics or Statistics; mainframe computer and PC experience; experience with SAS, Epilog, BMDP, GLIM or SPSS Preferred Experience: -Three years -Significant experience conducting web-based surveys and course evaluation activities; proven expertise using TABLEAU, Python and R language programming" Data Scientist,"Reston, VA",ISE Data Systems,"Data Scientist duties will typically be focused on the customer’s business analytics, metrics collection, and analysis efforts to assist the customer’s management team in process improvement ." Data Scientist,"Nashville, TN 37203",HCA Healthcare,"Description SHIFT: No Weekends SCHEDULE: Full-time HCA Healthcare is a comprehensive healthcare network where 265,000 people across more than 1,800 care facilities are all committed to creating a positive impact every day. It’s an organization that exists to give people healthier tomorrows. Our scale enables caregivers to deliver great outcomes for patients and gives colleagues unparalleled opportunities to learn and grow. Most importantly, as a part of HCA Healthcare we’re connected to something bigger, which means more resources, more solutions and more possibilities for everyone who walks through our doors. What matters most to our diverse and talented colleagues is giving people the absolute best healthcare possible. Every day, we seek to raise the bar higher, not just for ourselves, but for healthcare everywhere. At HCA, you have options. You can choose from a variety of benefits to create a customizable plan. You have the ability to enroll in several medical coverage plans including vision and dental. You can even select additional al la carte benefits to meet all your needs. Enroll in our Employee Stock Purchase Plan (ESPP), 401k, flex spending accounts for medial and childcare needs, and participate in our tuition reimbursement and student loan repayment programs. Do you have a passion for healthcare and helping others? Do you enjoy working in a fast-paced, patient-centered environment? Jump-start your career in our Human Resources, Analytics department. Submit your application today! We are seeking a Data Scientist II for our Human Resources Group (HRG) to ensure that we continue to provide all patients with high quality, efficient care. We are an amazing team that works hard to support each other and are seeking a phenomenal addition like you who feels patient care is as meaningful as we do. Job Summary: The Data Scientist II develops statistical analyses, machine learning (ML), and natural language processing solutions to support our human resources professionals in order to save lives and support the care of HCA patients. This technically focused position is responsible for understanding challenges/problems within healthcare workforce markets and leveraging data science to deliver real-time predictions and signals which enable our workforce to provide to better care for our patients. Major Responsibilities: The Data Scientist II will work as part of a team to deliver data science products from beginning to end, including understanding the business need, aggregating & exploring data, building & validating predictive and causal models, and deploying completed models to deliver impactful results to the organization. They will also design and implement monitoring of product function and performance. A Data Scientist II conforms to department processes and standards. The Data Scientist II is a highly motivated self-starter, is a continual learner, and is committed to delivering high quality solutions within agreed upon timelines. This table illustrates the relative experience/expertise of the Data Scientists. Machine Learning Development Perform descriptive, exploratory and inferential statistical analysis as well as supervised and unsupervised machine learning. Use front-end tools and interfaces (e.g. notification and alert systems, dashboard reports) for internal clients to view and interact with processed data. Stay on the cutting edge of technology, Data Science, and Machine Learning Engineering. Develop deep expertise in working with people, operational, and financial data. Perform data gathering (SQL, etc.) and data cleaning/wrangling. Develop Machine Learning applications with industry-standard programming languages such as Python and R. Perform feature engineering & modeling with people, operational, and financial data. Produce high quality, modular, reusable code that incorporates coding best practices and serves as an example for less experienced Data Scientists. Design and implement highly scalable applications that take advantage of distributed infrastructure on physical and cloud servers with technologies such as Docker, Kubernetes, OpenShift, and Apache Kafka. Work collaboratively with engineering team to evolve Data Science Integration configuration/customization for different environments. Create and execute test cases (both automated and manual). Possess knowledge and experience with different phases of testing (unit testing, integration testing, performance testing). Participate in various code review activities. Be incorporated in development teams from design to deployment of enterprise services. Mentoring/Consulting Activities Define and help implement processes and standards for Machine Learning tools, code, testing, and product deployment for the HRG Advanced Analytics Team. Train and mentor other Data Scientists with respect to Data Science techniques and tools, mathematical and statistical understanding of Machine Learning, and industry best practices for Data Science development and solutions. Provide feedback on the work of data scientists across different groups at HCA. Data Science Project Delivery and Leadership Engage with stakeholders to define problem and impact of possible Data Science solutions. Influences, persuades, or convinces others to achieve meaningful discussion/results. Possess excellent communication skills to interface with various stakeholders from business consumer to technical staff. Write strategic documents for business leaders. Lead discussion and presentation to senior groups. Maintain authoritative relationships. Work as part of a team and work independently. Form internal/external relationships necessary to be successful. Generate collaboration between teams. Complete assignments on time. Anticipate likely adverse events and problems. Facilitate conversation and solution amongst peers and partners across enterprise. Accurately report issues and status to project management. Lead troubleshooting activities. Performs other duties as assigned. Practices and adheres to the “Code of Conduct” philosophy and “Mission and Value Statement.” Typical work week hours can vary depending on workload and project deliverables. Qualifications Education: Bachelors degree is required. Master's degree/PHD is preferred. 3+ year of experience in most of the following: Technical expertise in the realms of math, statistics, machine learning/deep learning, model fitting and optimization. Extensive experience in statistical modeling and machine learning. Extensive expertise/experience in data analysis, exploration, modeling and visualization required. Business acumen (i.e., ability to set up & frame predictive analytic problems/projects). Unix/command line proficiency. Presentation skills (communicates well with stakeholders). Story telling (explains technical info/project well). Collaboration & teamwork ability. Project management. Healthcare domain knowledge. Has deployed models into production that are being used. Able to evaluate performance of models in production. SQL experience / database interrogation techniques. Expertise with data visualization tools such Tableau, Qlik, and MicroStrategy. Big Data experience (HDFS, Impala, Spark/PySpark, Flume, Kafka). Experience with container-based platforms such as Docker, Kubernetes, OpenShift, Mesosphere, Rancher, and CoreOS. Experience with container monitoring applications such as monitoring solutions such as SysDig, Data Dog, AppDynamics, New Relic, Nagios, and Zabbix. Experience with one or more formal development languages (e.g., Python, R, JavaScript, Ruby, Scala, or Clojure) required. Experience with Hadoop, Spark, Kafka, Cassandra (i.e. distributed compute and storage). Experience in data acquisition, data cleansing and parsing required. Scrum, Agile, Lean Product Development, Domain Driven Design. Excellent communication skills, both written and verbal. Healthcare experience, preferable. We are looking for experts in these areas. If you don’t have experience in some of these, you must be able to work collaboratively on a cross-functional team that builds Data Science signal delivery, data pipeline, and DevOps infrastructure.Adaptability Treats change and new situations as opportunities for learning or growth. Focuses on the beneficial aspects of change and speaks positively about the change to others. Seeks to understand changes in work tasks, situations, and environment as well as the logic or basis for change. Demonstrates the ability to help others adapt to change and to personally adapt to various work environments. Strategic Working Relationships Builds relationships within the department and across multi-disciplinary teams to assist in facilitating discussions regarding data outputs and feedback on usage activities to improve Data Science impact. Adaptability - Expected Level of Competency Ability to network with corporate and field contacts. Frequent inter-departmental contact and presentations. Independently works with customers on a 1:1 basis, as well as in teams. Able to manage multiple assignments simultaneously. Ability & desire to learn and grow. Technical aptitude to learn and adapt to new industry applications and tools. Working Standards Continues to refine development and analytical skills. Applies a consistent development approach to provide creative solutions to problems. Contribute to the design, construction and implementation of software and analytics solutions in the data science engineering environment. Works to build technical knowledge by taking advantage of internal team mentoring and attending professional development opportunities. Freedom to Act / Independent Judgment Works independently with minimal guidance. Work is evaluated to ensure objectives are met. Exercises judgement in selecting and adapting methods and techniques for obtaining solutions. Follows standard practices and procedures. Working Environment In office working environment. Some travel, up to 25% may be required. If you are looking for an opportunity that provides satisfaction and personal growth, we encourage you to apply. We promptly review all applications. If you are highly qualified you will hear from one of our managers. Come unlock the possibilities and apply today! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Notice Our Company’s recruiters are here to help unlock the next possibility within your career and we take your candidate experience very seriously. During the recruitment process, no recruiter or employee will request financial or personal information (Social Security Number, credit card or bank information, etc.) from you via email. The recruiters will not email you from a public webmail client like Gmail or Yahoo Mail. If you feel suspicious of a job posting or job-related email, let us know by clicking here. For questions about your job application or this site please contact HCAhrAnswers at 1-844-422-5627 option 1." "Social Data Scientist, Junior","Washington, DC",Booz Allen Hamilton,"The Challenge: Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data. We have an opportunity for you to use your analytical skills to improve strategic innovation across sectors of the federal government. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help federal organizations make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science and machine learning for good in the federal government. Empower change with us. You Have: 1+ years of experience with data science, analytics, applied mathematics, or statistics in a professional work or educational environment Experience with designing surveys for social, government, or health research Knowledge of statistical scripting in Python, Tableau, and Microsoft Excel for data cleaning, transformation, analysis, and visualization Ability to work independently on client delivery tasks and carry out assignments to completion within parameters of instructions given, prescribed routines, and standard accepted practices Ability to develop briefing slides and info papers to display data concisely and tie data to conclusions grounded in theory and contemporary research Ability to obtain a security clearance Scheduled to obtain a BA or BS degree by May 2020 Nice If You Have: Experience with functional programming and formal verification Experience with machine learning and Bayesian methods Experience with building complex data pipelines Experience with using GPUs for machine learning using frameworks, including PyTorch or TensorFlow Knowledge of Cloud systems, including AWS, Azure, or GCP Secret clearance MA or MS degree in Physics, Mathematics, CS, Computer Engineering, Statistics, or a related field Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Build Your Career: At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you can expect: access to online and onsite training in data analysis and presentation methodologies, and tools like Tableau, SQL, and Python a chance to change the world with the Data Science Bowl—the world’s premier data science for social good competition participation in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, onsite boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want, as you chart your own course for success. We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change. URT1" Data Scientist (Python),Remote,Applied Memetics LLC,"Overview: Applied Memetics LLC is seeking (1) experienced, motivated Data Scientist Manager and (4) Data Scientists (Python) to remotely support our VA customer. US citizenship or Green Card holder required. Responsibilities: Data Scientist Manager: The Data Scientist is responsible for undertaking data collection, preprocessing and analysis; building models to address business problems; presenting information using data visualization techniques. A Developer Level II must have experience in analyzing customer needs and developing overall concept and design objectives. The developer must be able to create software in a variety of programming and for a variety of IT software applications. Must have experience in debugging and correcting errors in computer programs. Data Scientist (Python): The Data Scientist is responsible for undertaking data collection, preprocessing and analysis; building models to address business problems; presenting information using data visualization techniques. A Developer Level I must have experience in the creation of error free software code under the direction and supervision of senior software development managers. Must have experience in both windows and web development environments. Must be able to write software documentation. Qualifications: Data Scientist Manager: Bachelor's degree in computer science, electronics engineering or other engineering or technical discipline is required. 8 years of additional relevant experience may be substituted for education Minimum of 5 years of experience in data science is required Python Sci-kits, NLP, Vision, Graph Databases, Machine Learning, Statistical modeling, OCR Data Scientist (Python): Bachelor's degree in computer science, electronics engineering or other engineering or technical discipline is required. 8 years of additional relevant experience may be substituted for education Minimum of 1-2 years of experience in data science is required Python Sci-kits, NLP, Vision, Graph Databases, Machine Learning, Statistical modeling, OCR" CRM Data Scientist- Apple Retail,"Santa Clara Valley, CA 95014",Apple,"Summary Posted: Feb 25, 2020 Weekly Hours: 40 Role Number:200152451 The people here at Apple don’t just build products — we craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Do you love problem solving and thinking beyond an obvious solution? Do you thrive in ambiguity and teams where little direction should fuel your creativity? The Apple Retail Data Sciences team provides insights through Data analytics and Predictive modeling. We are looking for an experienced CRM Data Scientist to partner closely with the business to provide strategic insights and support informed decisions. You will be excellent at performing customer cohort analyses, segmentation, building propensity models, and develop dashboards towards sharing insights with business partners. Key Qualifications Expert experience in panel data, statistical models (survival analysis, trial-repeat models, propensity scoring), customer segmentation, and multivariate testing. Solid technical database knowledge (e.g., Teradata, McQueen, Hadoop) and experience optimizing SQL queries on large data. Proficiency in R or Python. Abilities to build and maintain packages a plus. Familiarity with data visualization tools (e.g., Tableau). Excellent problem solving and critical thinking. Ability to communicate complex analyses to a non-technical audience. Familiarity with CRM a plus. Description To be successful in this position, you should be a self-starter, driven, accountable and a highly upbeat teammate. You will work cross-functionally on multiple projects end-to-end and advance them on a tight schedule. Education & Experience Minimum Bachelor’s degree in Statistics, Mathematics, Economics, or other quantitative disciplines. Masters or PhD preferred." "Data Scientist – Machine Learning, Python","Sunnyvale, CA","PRIMUS Global Services, Inc","We have an immediate contractual opportunity with one of our largest clients in Sunnyvale, CA for a Data Scientist. The ideal candidate must have prior Industry Experience and experience in Machine Learning/Deep Learning. Extensive Experience in Python OR RStudio. Experience in DL Frameworks like Tensorflow is required. Must have experience Leading/Mentoring a team of data scientists in ML/DL. Must possess Ability to prototype/build ML applications using cognitive Analytics technologies in close collaboration with Solution Architecture and Software Engineering teams. Prior Analytics experience in any one Industry (or more) healthcare, automotive, aerospace, consumer products and manufacturing (indicative list) is desired. Experience in solving client's analytics problems and effectively communicating results and methodologies is required. Knowledge and experience working with Hadoop Eco System, Spark and distributed computing systems is a plus. Knowledge of statistics, machine learning, Deep Learning and data mining techniques is preferred. For immediate consideration, please contact:VishalPRIMUS Global ServicesPhone No: 972-753-6500 Ext: 423Email: jobs@primusglobal.com" Data Scientist,"Oakland, CA",Trace Data,"Trace Data is developing a ground breaking product to help companies monitor and secure their data. We're integrating the world of security, observability and connectivity. We're looking for people with a strong background or interest in building successful products and systems; you're comfortable in dealing with lots of moving pieces; you have exquisite attention to detail; and love learning new technologies and systems. As our Data Scientist, you will: Develop large scale machine learning algorithms that support monitoring, privacy and security capabilities. Own the machine learning algorithms that power core features in the product such as the identification of sensitive data, automated data classification and anomaly detection using unsupervised and deep learning techniques ranging from computer vision algorithms for pattern recognition to variational auto-encoders to NLP. Design, build, and launch efficient & reliable new data models, schemas and pipelines to enable analysis, modeling and machine learning. Partner with product managers, designers, and engineers to prototype and productize data mining features. Advise on best practices and statistical methods for measuring and evaluating experiments.You may be fit for this role if you: Have experience of building products from the ground up. Have a Bachelor's/Master's degree or higher in a technical field such as Computer Science, Statistics, Economics, Operations Research, Math, Physics or Engineering. Have a deep theoretical understanding of modern machine learning algorithms, statistical models or optimization. Have experience with data tools such as Python, R, SAS, SQL, etc and strong skills in data analysis, data visualization and engineering. Have the ability to own your modeling work from model development all the way to launching into production with minimal help from engineers. Have experience with MapReduce, Spark, Hive, HBase, Google BigQuery, BigTable is a plus. Experience ML frameworks like Tensorflow, PyTorch, Spark MLlib, XGBoost, and Scikit-Learn is a plus. You're a strong communicators; explaining complex technical concepts to product managers, data analysts, and other engineers shouldn't be a problem for you.About Trace Data Trace Data is an early stage startup founded in 2019 and headquartered in Oakland, California. We're backed by top tier investors including Accel and Kleiner Perkins. We're a highly cross-functional organization and encourage as much collaboration as possible. We have a culture of transparency that we carry through to internal communication, ensuring everyone has the information they need to make great decisions. We value humility, respect and diversity. We look for people who are curious, want to grow and have impact every day. Trace Data provides equal employment opportunities (EEO). All applicants are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation." Senior Data Analyst,"Los Angeles, CA",The Alacer Group,"Work with Business Users to define and document explicit business requirements for implementing subject areas in the Enterprise Data Warehouse and corresponding reports.Perform data analysis by writing complex PL/SQL queries on various source systems and data warehouse to find trends and anomalies in the data in support of the requirements for various strategic and/or tactical projects.Serve as Subject Matter Expert on a particular system and its data, and guide the development activities with assumptions and data dependencies.Identify data quality issues and concerns and support the data governance initiative by being involved in various data initiatives.Conduct on-going analysis of the business, operating practices, and data flows within and between various systems and applications.May be required to assist in maintaining the data model for both Operational Data Store (ODS) as well as the analytical Enterprise Data Warehouse (EDW).Keeps informed of existing and evolving best practice, industry standards and technologies.Fosters and maintains good relationships with colleagues to meet expected customer service levels.Maintain all appropriate training and continuing education requirements for both internal programs and external licenses and certifications.Develop and maintain positive, productive, and professional relationships with key business partners to meet expected customer service levels.Complies fully with all Bank Operational policies and procedures as well as all regulatory requirements (e.g. Bank Secrecy Act, Know Your Client, Community Reinvestment Act, Fair Lending Practices, Code of Conduct, etc.).Skills:Experience in using Tableau, Alteryx, or SnowflakeExperience in advanced PL/SQL Oracle queries and analysisPrior experience in accounting/finance within Financial Services industryMust have strong business acumenGood knowledge of project management techniqueBachelor's degree in Computer Science or related technologiesEducation:*Minimum 5 years of experience working with Information technologies required.*Minimum 5 years of experience as a Data Analyst, preferably in a data-intensive financial company.*Minimum 3 years working in a client facing business support role.Languages: English Read Write SpeakJob Type: Full-timeSalary: $75,000.00 to $90,000.00 /yearExperience:PL/SQL: 5 years (Required)BSA/KYC: 3 years (Required)Banking: 3 years (Required)Tableau, Alteryx, or Snowflak: 5 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)Work Location:One locationBenefits:Paid time offSchedule:Monday to Friday" Data Scientist,"Pasadena, CA",Scratch Financial Inc.,"Scratchpay is a financial technology startup, based in Los Angeles, California. We are using Big Data to put an end to economic euthanasia of pets. Our goal is to help more pets get medical care by providing smart and simple payment solutions to pet families. The credit risk team provides one of the core functions that helps us achieve our goal. The Credit Risk team makes intelligent data-driven decisions to assess incoming risk and designs data based solutions to optimize portfolio performance. We are rapidly pursuing new data sources, increasing our understanding of our customers, building new predictive models, and implementing analytical insights live - all to help the business grow and help more pet families. As a part of the Credit Risk team, you will lead projects that extract value from our unique, proprietary, and fast growing data. You will be responsible for analysis, modeling, and execution of projects that will help drive originations and reduce losses for the portfolio. If you enjoy solving problems with data and technology and want to work in an environment where analytics, product, finance, and operations blend together, this is a fantastic opportunity. In this role, you will:Explore internal and external data, and combine disparate sources of information into datasets/features for use in analysis Leverage a broad stack of technologies (Python, SQL, R) to reveal interesting insights hidden within numerical and textual data Navigate ambiguous problems with scientific method to yield actionable insights that impact the business Create models to address credit risk and fraud risk in lending. You will be involved in the whole process of model development and deployment (including root cause analysis, data collection, feature engineering, implementation, and live model monitoring) Respond to ad-hoc credit risk issues across all levels of organization We place a high degree of importance on team dynamics and have a transparent and open organization. We are a team of ambitious people who are passionate about our common goal and our respective areas of responsibility. We deliver fast, iterate continuously, and encourage rapid response to change. The ideal candidate has:Excellent problem-framing, problem solving, and project management skills M. S. or PhD degree in a quantitative field with demonstrated core statistical knowledge Strong programming and data extraction skills (we work with SQL, Python, and R) Built predictive models or decision strategies in academic research or previous work (we’d love to hear about them!) Experience with financial services datasets/problems (plus) Strong communication skills through text and speech and able to communicate effectively with technical and non-technical audience About​ ​Scratch​pay Scratchpay is the nation's leading provider of simple, affordable payment plans to help pet owners get pet care first and pay later. After launching our beta product mid 2016, Scratch is now the United States' largest provider of payment plans for veterinary care! Each year in the U.S., millions of pets do not get the care they need due to financial constraints. Scratchpay leverages proprietary data elements, advanced machine learning models and other alternative data sources in order to finance care for as many pets as possible. Through our company’s innovative approach to financial technology and our partnerships with over 4,000 veterinary practices, the total number of pets approved for financing with Scratchpay increased by almost 400% in 2018! We also pride ourselves on being the only financial services company to donate 1% of net revenue to pets in need, and for being the only mobile-first solution in the space with 24/7 availability. You can learn more about us at www.scratchpay.com [http://www.scratchpay.com]. Interested candidates can also reach out to risk@scratchpay.com [risk@scratchpay.com] for more information Additional​ ​Information At Scratch, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"San Diego, CA 92127 (Rancho Bernardo area)",Broadcom,"Please Note: 1. If you are a first time user, please create your candidate login account before you apply for a job. (Click Sign In > Create Account) 2. If you already have a Candidate Account, please Sign-In before you apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, disability or protected veteran status. Job Description: Do you enjoy analyzing data? Creating products that solve real-world problems and taking them into production? Working with colleagues to find novel ways to approach difficult problems in fintech? We are looking for people with graduate degrees (MS or PhD) in an analytical field, e.g., Physics, Statistics, Electrical Engineering, Computer Science, Oceanography, Applied Mathematics, Data Science. You should understand how to apply mathematics to real-world problems, including linear algebra, vector calculus, etc. We are looking for people who: Have strong scientific coding aptitude – efficient code that is numerically stable and of production quality. Are strong analytical thinkers, including reasoning through probabilities and statistics, as well as delving into detailed deterministic thinking and using individual examples Can learn new business domains, understanding the context for the data science Can learn and apply machine learning and AI techniques to new domains, with a focus on client needs Have interest in working from start to finish: gather data, clean and prepare, model, code, package, guide into production, and help clients use the results. Enjoy working with data. Can communicate complex and sophisticated ideas to people without scientific backgrounds Enjoy working in a team environment You will be responsible for: Working on problems in the fintech area, including online payments, banking, and other areas Working on a team under the leadership of other Data Scientists Communicating with clients, internal and external, to understand the business problems that we can solve using machine learning and AI Analyzing and understanding data from different domains, including data cleansing and detailed analysis of relationships between fields Developing supervised, unsupervised, and reinforcement models in the laboratory Coding models for production, with particular attention to efficient use of computational resources and robustness of the code Working with Software Engineers and SaaS Operations to package and deploy the models Monitoring the models to ensure that they are working properly, and generalizing to new data Working with clients to ensure that they are using the results of the models effectively. Skills needed include: excellent written and verbal communications, and presentation skills. Languages needed include a subset of: Python, C++, Unix scripting, SAS, PySpark, Scala, Perl, C Strong command of Unix is preferred. Experience (Data Scientist): Fresh Graduate degree holders are welcome to apply. Industry experience greatly appreciated. If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence." Data Scientist,"Honolulu, HI 96813",Central Pacific Bank,"Position Function: As an experienced member of our Management Reporting and Analysis team, we look first and foremost for people who are passionate about solving business problems through innovation & analytics. Responsibilities include performing statistical analysis, data mining and retrieval processes on internal and external data to identify trends and other relevant information to solve or address a variety of business problems, optimize business performance and gather business intelligence. Performs all duties and interacts with internal and external customers in a manner aligned with the Company's Core Values of Teamwork, Integrity and Exceptional Services (TIES); Customer Experience Competencies of Customer Interaction, Empowerment and Ownership; and Basic Skills of Listening, Oral Communication, Written Communication, Action Orientated, Thoroughness, Problem Solving.Minimum Qualifications: Education:Bachelor's Degree in advanced financial engineering or statistics focused subject from an accredited 4-year university requiredMaster’s Degree or PhD in quantitative discipline preferred Experience:5+ years of financial engineering or statistics focused Competencies:Achieving Results - Drive for ResultsCommunication & Influencing - Influencing OthersOperating Skills - Diagnostic Information GatheringOperating Skills - OrganizingOperating Skills - Priority SettingStrategic Skills - Dealing with AmbiguityStrategic Skills - Intellectual HorsepowerStrategic Skills - Strategic AgilityOperating Skills - Analytical ThinkingSelf-Management - Adaptability Knowledge, Skills & Abilities:Strong analytical skills including analysis, data collection, process mapping and troubleshooting for root causeAdvanced experience with R, Python, SAS or other statistical programming languagesStrong general technical ability, including proficiency in SQL or equivalent query language.Advanced experience with BI tools such as Tableau, Cognos, Excel Physical Demands:Must be able to perform light physical work and to move or lift items including but not limited to boxes, files and papers up to 20 pounds unless otherwise as indicated.Must be able to operate and proficiently use standard office equipment, including phone, copier, personal computer and/or other work related mechanical or electronic devices and applications.Must be able to clearly communicate verbally and in writing with all internal and external customers. Must also be able to hear sufficiently to engage in daily discussions and interactions.Must be able to read and understand bank-related documents. Must be able to work in a conventional office setting, involving sitting at a desk or workstation for long periods of time. Must also be able to adapt to different work environments as needed to perform the job." "Data Scientist, Payments and Partnerships","New York, NY 10011 (Flatiron District area)",Spotify,"As the world’s largest audio streaming subscription service, Spotify Premium enables millions of creatives to make a living from their art by connecting them with the people who love it. Research & Development deep dives into user behaviour to create a more valuable and meaningful experience for subscribers. It’s here that you’ll grow our audience and our platform, working with many disciplines across many locations to build innovative and tech-powered product solutions. Do you want to help guide the core business of Spotify using insights from analyses and data? The mission of our Premium Analytics Team is to bring Spotify Premium to more users across the globe and to constantly evolve and improve our offering. You’ll be an essential partner in guiding decisions for shaping the Premium of the future. At your fingertips you’ll have access to petabytes of data, and will get the opportunity to be creative with how you drive insights from that. Above all, your work will affect the way the world experiences music. You will work with a global team of extraordinary analysts, data scientists, business managers and engineers. We are all passionate about what we do, and move forward with high impact projects at a fast pace. Learning and improving is part of our daily routine, and you will be free to develop your own skills and ways of working. What you’ll do Drive business decisions and measure business impact, by analyzing troves of data Work with business managers in the Business Development team to discover new partnership opportunities with external brands/companies and measure the impact of launched partnerships Work with business managers in the Premium Payments team to optimize Spotify’s payment ecosystem, uncover new opportunities for improvement, and forecast/measure impact Design custom analyses to answer strategic business questions. Very little of what you do will be standard, out-of-the-box analysis. Be an experienced sounding board & ally to our business managers and partners Define important metrics and build data pipelines and dashboards to track them Who you are You have 3+ years of professional experience in data science, analytics, research, consulting or other meaningful fieldsYou are comfortable analyzing large datasets with statistical rigor using tools such as SQL, Python, R, SAS, Stata, or other programming languages You are an ambitious person who enjoys tackling loosely defined problems You bias toward delivering actionable insights quickly rather than constructing the most technically complex model. You have great communication skills and value building positive relationships with colleagues and stakeholders. You have the ability to explain complex topics in simple terms to a variety of audiences You are interested in or have experience with business strategy, financial modeling or management consulting You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be brilliant. So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 258 million users." Data Scientist,"Newport Beach, CA 92660",Evolus,"Evolus is a performance beauty company with a customer-centric approach focused on delivering breakthrough products. We are seeking an experienced, collaborative Data Scientist. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops analysis tools which will influence both our physicians and consumers. This is a great opportunity for someone who enjoys a fast-paced, ever-changing environment, new challenges, evolving their skills and improving processes. If you are looking for an opportunity to showcase your abilities while growing your knowledge, then look no further! In this role, you will be challenged to drive the success of Evolus in an effort to build a brand like no other. Let’s talk about some of the key responsibilities of the role: Collaborate with product management and engineering departments to understand company needs and devise possible solutions Design Data Acquisition Strategy Research and develop statistical learning models for data analysis Keep up-to-date with latest technology trends Communicate results and ideas to key decision makers Implement new statistical or other mathematical methodologies as needed for specific models or analysis Optimize joint development efforts through appropriate database use and project design Skills and Qualifications Required for this Dynamic Team Member: Master’s Degree in Computer Science, Statistics, Applied Math or related field 7+ years’ practical experience with SAS, ETL, data processing, database programming and data analytics Extensive background in data mining and statistical analysis Able to understand various data structures and common methods in data transformation Excellent pattern recognition and predictive modeling skills Experience with programming languages such as Java/Python an asset Experience with SFDC is a plus A Few Other Items Worth Mentioning: Office location – Newport Beach, CA This position reports directly to the Vice President, Loyalty Travel may be required Evolus takes pride in being a company on the forefront of innovation, while being committed to conducting its business with the highest degrees of integrity, professionalism, and social responsibility. We are also committed to complying with all laws and regulations that apply to our business. Employee welfare is no different. Here at Evolus, we don’t just work together, we’ve built a culture of inclusion! Because of this, you’ll find yourself immersed in an environment that not only promotes respect, collaboration and team building, but a community too (hello, Taco Tuesdays). And that’s just the tip of the iceberg. Don’t believe us? Join our team and see for yourself! EOE M/F/D/V. For more information, please visit our website at www.evolus.com." Data Scientist,"Philadelphia, PA",UST Global,"Data Scientist - (SO00063277-1-1-1) UST Global is a private high growth organization headquartered in Orange County California and is a leading provider of Advanced Computing and Digital Services for Global 1000 companies worldwide. Our next-generation digital consultancy is the ideal place for you to grow your career. Are you up for the challenge? Read on! Description Azure Big Data Machine Learning Engineer Description UST Global is looking for talented and creative Azure Big Data Machine Learning Engineer to architect solutions that meet business and IT needs, create enterprise development roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies wherever appropriate e.g. Azure Machine Learning, Machine Learning Server, BOT framework, Cognitive Services, Azure Databricks, etc. . Ideal candidate should be highly skilled in all aspects of data analytics, including mining, generation, and visualization. The candidate must possess excellent written and verbal communication skills with the ability and knowhow to collaborate effectively with domain experts and IT leadership team. Ultimately, we re after someone who is flexible, a fast learner, loves to solve problems and enjoys getting products to market Responsibilities Well versed with Data Science, Machine learning and Deep Learning based solutions and frameworks. Troubleshoot data issues, build reports and present your findings to stakeholders Work on a large dataset on Mobile Wireless domain, do number crunching, need to see through the data and analyze it to find conclusions. Look at the numbers, trends, and data and come to new conclusions based on the findings.Work closely with the product development teams to deliver solutions in an agile environment.Ability to Interpret the logical side of the data, demonstrate leadership in advanced Analytics and support leading project tasks, Requirements Experience in in development and implementation of AI Machine Learning based models and applicationsModel selection and optimizationModel training and deploymentExperience in Microsoft ML OpsExperience in ETL Tools2 Years in Python CodingHands on with Spark SQL Experience working in an Agile Team environment.Excellent communication skills both verbal and written Preferred QualitiesThe candidate should be passionate about Machine Learning, Deep Learning, and be an expert with Azure ML with knowledge of AutoML, MLOps, and data science on ML platform Someone who loves getting things done Attitude Excellent analytic and problem solving skillsExceptional at collaborating with both technical and non technical people Team Work Highly organized with a strong eye for detailGood with feedback, continually looking to improve and develop Tech stack Azure Big Data Machine Learning AutoMLMLOpsPythonDeep LearningDataScience on ML PlatformsETL SparkSQL Qualifications Bachelor s degree or above in Computer Science, Engineering, Machine Learning, Statistics, Mathematics, Econometrics, Physics or related Quantitative disciplines. Primary Location: US-PA-Philadelphia Employee Type: Regular Employee Job Type: Full-time Job Posting: Mar 2, 2020, 5:16:25 PM UST-Global is an Equal Opportunity Employer" Data Scientist,"New York, NY",ExecOnline,"ExecOnline is a fast-growing, venture-backed ed-tech firm reinventing how the world's greatest companies develop their next generation of leaders. We are looking for an exceptional addition to the team who will be responsible for ensuring that a data-driven approach is at the heart of every piece of our organization and platform. We are looking for an individual to lead data science efforts which will support our strategic initiatives at scale. This is a hands-on position that will work directly with our Data, Product, Technology and business teams to bring ExecOnline's data capabilities to the next level. Ideally, this role would be based in our New York City or Washington, DC office, but we will consider remote work for the right candidate. In this role you will:Be a key contributor to our suite of data-driven products for customers and solutions for internal stakeholders Be hands-on with Data Analysis and Visualization Development Utilize statistical models to derive deeper insights from our extensive customer and participant data Apply Natural Language Processing capabilities on unstructured data for Topic Modeling, utilized in textual data exploration, feedback insights, voice-of-customer insights, sales enablement, etc. Leverage other Machine Learning techniques for projects including Predictive Modeling, Retention Analysis, etc. Spearhead opportunities for Experimentation and A/B testing in the company, such as outbound email, web optimization, etc. Work with both structured and unstructured data Support the development of reports in Tableau We think it's appealing because you will be able to:Join a company focused on achieving scale with data Work directly with Product and business teams to deliver direct impact to customers and client-facing teams Learn on the job and be(come) an expert on executive education - then apply that expertise to make the entire system better Green-field opportunity be a thought leader in the company on data science best practices and opportunities for applications Are we a match? 3+ years of experience in a similar role will position you for success and have a Bachelor's degree in Analytics or related quantitative fields (statistics, Operations research, mathematics, econometrics etc.). An advanced degree is preferred. Experience applying modelling and advanced techniques such as: significance testing, GLM/Regression, Random Forest, Boosting, Trees, text mining Hands-on knowledge of Python/R, SQL is a must You are excited by the challenge of developing complex data-driven solutions while delivering simplicity for the end user. You value hard work, collaboration and the ability to strike the right balance between speed, quality and execution. You know how to get things done and prefer pragmatic solutions to theoretical ones. You are a ""full stack"" data person - you know how to work with large, messy data sets, no matter where or how they are stored OR you are up to figuring it out. You know your math but understand that the flashiest solutions usually aren't always the best. You have experience with some of the tools and languages we use and are excited to learn the others: Python, R, SQL Tableau Jupyter Notebooks dBeaver or equivalent Github Highly Desired Additions:AWS Redshift, Snowflake Data Warehouse Hadoop Javascript What you'll get:The opportunity to join a startup on a team with high career-growth potential across the organization A stimulating work environment working with leading-edge, highly-motivated team members Competitive base salary 20 days paid vacation Stock options Highly subsidized health insurance Opportunity to take our courses with elite business schools 2 months paid parental leave 401K with Vanguard Commuter benefits and other perks About ExecOnline ExecOnline partners with top business schools, including Berkeley-Haas, Columbia, IMD, MIT-Sloan, Wharton, Chicago Booth, Stanford, and Yale to rapidly deliver online leadership development programs that generate lasting organizational impact. ExecOnline's university-certified programs in strategy, innovation, operations, and more feature dynamic content tailored to the unique corporate objectives of their clients. ExecOnline has delivered transformational leadership development experiences to more than 200 organizations and 10,000 business leaders." Sr. Data Scientist/Machine Learning Engineer,"Miami, FL 33138 (Upper Eastside area)",aikiu,"This role is key to accelerating the growth of aikiú, since its main mission is focused on building a reputation as the main provider of – audience-based business intelligence - in the market.The Data Scientist position is of utmost relevance to aikiú, since the operations team is the machine that moves our company. This role is very wide and varied, since in order to maintain and improve our proven formula, you must design and implement solutions based on data and technologies, to respond to the needs of our customers, taking into account the market vision and the objective of leading them towards Performance – Driven Consulting.Expert level is required in the following or similar tools: Google Tag managerAdobe marketing cloud or similar.Hubspot or similarLooker or SimilarExcelBrandwatchResponsibilities: Implement and improve new, or pre-existing, operational strategies that take advantage of our database systems and processes.Support the operating team in the daily operation, through different marketing management channels and at different times of the process.Understand and communicate the business objectives of the client and aikiú to the operating team, through detailed implementation guidelines.Create and maintain the processes and decision standards in real time and generate documentation (tables, graphs, logical guidelines, etc.) so that the operating team is able to process data according to pre-existing standards and generate new ones for those who still they do not exist.Constantly question and monitor business logic and strategies at the operational level of the company, to identify gaps that could result in poor decision-making, developing recommendations in conjunction with aikiú’s team and management.Monitor the performance of aikiú’s operation’s team through metrics and indicators, as well as constantly audit project outcomes to ensure that aikiú standards and client objectives are being adequately met.Develop the relationship with our national and international technology partners.Lead the Business Operations and Analytics Department.In aikiú we support the development of the team not individualism, we encourage the use of the office with the home office, we do not accept the continued excuses, nor the buts, we encourage the how can we provide solutions to different situations, and with daily maximum effort together we will build our company of tomorrow.Job Type: Full-timeSalary: $70,000.00 to $110,000.00 /yearExperience:areas of algorithms: 5 years (Required)plus total: 5 years (Preferred)machine learning: 3 years (Required)professional it: 5 years (Required)working with data: 5 years (Required)Additional Compensation:BonusesWork Location:One locationFully RemoteBenefits:Health insuranceSigning bonusFlexible scheduleVisa Sponsorship Potentially Available:Yes: H-1B work authorizationYes: Other non-immigrant work authorization (e.g. L-1, TN, E-3, O-1, etc.)Yes: Immigrant visa sponsorship (e.g., green card sponsorship)Schedule:Monday to FridayBenefit Conditions:Only full-time employees eligible" Data Science Intern,"Richmond, VA 23219 (Central Office area)",Precizion Solutions,"We work hard AND smart. We also don’t take ourselves too seriously. Camaraderie, serviceable creativity, and encouraging curiosity are some of our core values. If you’d like to work on inspiring, impactful stuff with a small but growing team, consider joining us.Our team works alongside clientele to build projects such as data visualizations, software enrichments, and apps. You will have the freedom to solve our client’s problems. We are lifelong learners, happily sharing what we learn with fellow team members. When one of us levels up, we all level up. We value teamwork and encourage employees to support each other and celebrate success. We believe in freedom in the workplace which means you have flexibility with your hours, the ability to work from home, take unlimited vacation days, and exercise creativity in how to approach job goals.Located in Richmond, VA, Precizion Solutions provides data science services with unequaled customer experience. Our innovative solutions have achieved maximum revenue and savings potential in a diversity of fields, including marketing, human resources, healthcare, sales, and retail.Precizion is seeking a self-driven, energetic data analyst with expertise in collecting, sorting, and studying business data for interpretation and analysis. Candidates will be responsible for being on-call to provide service in a timely manner. Specific job responsibilities vary from project to project so candidates who are flexible will thrive with us. This candidate must be able to work independently as well as be a hard-working, dependable, energetic team player with a positive attitude and strong communication skills.QualificationsBachelor’s degree preferred in mathematics, economics, computer science, information management, statistics, or equivalent experienceStrong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracyDevelop and implement a data collection system and other strategies that optimize statistical efficiency and data qualityExcellent technical and relationship skills in working with prospects, customers, partners, and salesAcquire data from primary or secondary data sources and maintain databases/data systemsInterpret data, analyze results using statistical techniques and provide ongoing reportsComfortable with learning new things or taking on new responsibilities as we expand into new verticals, integrate with new technologies or add new features to the product setAbility to multi-task and prioritize assignmentsHighly organizedExperience in one of the following programming languages: R, Python, SAS, SQLProficiency in Microsoft Office, Outlook, and ExcelEffective verbal, written, and interpersonal communication skillsAbility to work effectively under pressureSelf-driven and extremely ambitiousPrecizion solutions offers great pay, flexible work hours, unlimited vacation days, monthly work socials, the ability to work from home, and the freedom to grow and learn. To apply, please fill out the following form.Job Types: Full-time, Part-time, Temporary, Internship, ContractSalary: $10.00 to $20.00 /hourEducation:Bachelor's (Preferred)Location:Richmond, VA 23219 (Required)Language:English (Preferred)Work authorization:United States (Required)Working Days:Monday (Preferred)Tuesday (Preferred)Friday (Preferred)Wednesday (Preferred)Thursday (Preferred)Additional Compensation:BonusesWork Location:One locationBenefits:Professional development assistanceTuition reimbursementEmployment Length:VariesInternship Compensation:PayCollege CreditSchedule:Monday to Friday" Data Scientist,"Austin, TX 78759 (North Shoal Creek area)","Signature Science, LLC","Position Purpose: The successful candidate will support projects related to public safety, defense and national security The data scientist will work collaboratively with teams of software, application, and database developers, statisticians, chemists, biologists, engineers, and other domain experts to design and deliver data-informed solutions for our customers, with a focus on enhancing the credibility and defensibility of national and homeland security programs. Essential Duties and Responsibilities: Collaborate with science, engineering, and business development teams to design and build data interpretation solutions, to include machine learning models, novel data visualizations, and analysis tools and algorithms Code and debug programs or applications Develop, document and/or implement application/program testing and validation Design and implement software modules and interfaces among applications or databases Analyze data sets, ranging from sparse datasets to large data and/or unstructured datasets, in order to extract insights, and drive further research opportunities Document, summarize, and present findings to customers, subject matter experts, and other data scientists Required Knowledge, Skills & Abilities: Experience designing and implementing data interpretation approaches to address complex questions, with a preference for experience with scientific questions Experience developing data visualizations to facilitate interpretation and data insights Experience in the use of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and optimization algorithms Experience with supervised and unsupervised machine learning algorithms, and ensemble methods, such as: K-Means, PCA, Regression, Neural Networks, Decision Trees, Gradient Boosting Experience communicating data insights and presenting concepts to technical and non-technical audiences Scientific background (with a focus on chemistry or biology) and/or experience with CBRNE applications preferred Motivated to contribute in a team environment and collaborate across scientific and technical disciplines Able to balance multiple on-going tasks while operating efficiently and with minimal supervision Education/Experience:Bachelor Degree (or higher) in computer science, software engineering, statistics, data science, bioinformatics or related technical field Proficient in at least one programming language, with preference for R, Python, Javascript, C, C#, C++ At least two years, and preferably five+ years, of direct experience with machine learning, data evaluation, computer science, statistical science and/or software engineering. Certificates and Licenses: None required Clearance:Candidate must be able to obtain a Secret level security clearance. Supervisory Responsibilities: N/A Working Conditions/ Equipment: Ability to work in varying conditions to include: traditional office environments with sedentary extended periods required for voluminous data analysis via office automation; The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor." "Data Scientist, Analytics & Inference","New York, NY",Codecademy,"Hello, World! Codecademy has helped over 45 million people from around the world upgrade their careers with engaging, accessible, and flexible education on programming and data skills. We provide over 200 hands-on interactive lessons ranging from Python to R to Javascript and everything in between. Our learners have gone on to start companies, new jobs, and new lives thanks to what they’ve learned with Codecademy, and we’re thrilled to be working to take that impact to the next level. Codecademy was started in 2011 by two college students in a dorm room at Columbia that were frustrated by the huge gap between education and employment. A few years later, we are a rapidly growing, diverse team of 75+ in SoHo, NYC. We’ve raised over $40m in venture capital funding from top investors including Union Square Ventures, Kleiner Perkins, Naspers, Y Combinator, and more. If you want to help build a business that impacts tens of millions of people each year and helps them lead better lives, join us! WHAT YOU'LL DO As a Data Scientist focused on Analytics and Experimentation, you will work on an impactful team to analyze our millions of learners. We capture terabytes of data on how users engage with our platform. As Codecademy continues our rapid growth, we want to build a data-informed culture that uses hypothesis testing, experimentation, and exploratory analysis to guide our decision-making process. You will join a small but growing team of Data Scientists. Our work is in high-demand from all corners of Codecademy. We work on a variety of problems and have a real impact on the business and product. If you have a proven background in data and you are excited about making code education accessible, we want to hear from you! Apply exploratory data analysis and causal inference to answer complex questions about our users. Collaborate across teams to help scope out analyses, through a combination of experimentation (A/B testing) and quantitative user research. Design experiments and evaluate results to test and iterate on new product ideas. Perform deep dives into our data to build understanding around our business. Work with our data science and engineering teams to maintain data integrity. Mentor and consult with a cross-functional team of data scientists, engineers, and product managers. WHAT YOU'LL NEED 4+ years of industry experience in a data science, analytics, or research role. You have strong data intuition and knowledge of using data science best practices to drive impact. Expert SQL - we use Redshift. Able to write clean and efficient queries on massive datasets. Applied experience with statistical programming languages - R or Python preferred. Understanding of statistical methods and when to use them (hypothesis testing, experiment design, sampling). Strong written and verbal communicator. Comfortable working with loosely defined research problems. WHAT WILL MAKE YOU STAND OUT Background in experimentation and measurement. We’re looking to streamline our experimentation reporting framework and would love your help. A workflow involving reproducible methods and version control - Github, Docker. Experience automating dashboards with business intelligence tools - Looker, Tableau. Passionate about teaching the world to code. Empathy for our learners, such as a background in education or past experience using our site. INTERESTING QUESTIONS YOU MIGHT WORK ON What are some different types of patterns in user behavior? What do we do when we are unable to conduct an experiment? Can we predict whether a learner will renew their subscription? How do we improve the relevance of our course recommendations? How can we scale our existing processes? (experiment reporting framework, forecasting) At Codecademy, we are committed to teaching people the skills they need to upgrade their careers. Codecademy aims to educate a richly diverse demographic of learners with our product and in order to accomplish this, we believe our team should reflect that rich diversity. Our company celebrates diversity in all of its forms- race, gender, color, national origin, marital status, sexuality, religion, veteran status, age, ability, disability status- and works to create an inclusive workplace where people of all backgrounds and beliefs are empowered to better their futures." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"New York, NY 10261",Qualia Investments,"Qualia Investments is a proprietary trading desk that leverages technology to enter volatile, underdeveloped markets. We believe that the influence of consumer buying patterns has created an ‘Experience Economy’ in certain retail markets, where assets are traded on a latitude of secondary exchanges. Trading assets reliant on outdated, retail-oriented infrastructure creates significant friction to market participants. However, it welcomes disruption through product innovation and market insight. The software engineering team works closely with the rest of the firm, building tools, exploring trading ideas, and designing as well as maintaining the firm’s software systems. We are a liquidity provider and a market accelerator, rapidly deploying products and insights to create new stakeholder opportunities. Our team works tirelessly to develop strategies that help us understand the black box of consumer behavior and the role experience plays in price-value theory. Our team is composed of traders and hackers working together to solve complex, abstract problems. Our office culture is unique and we embrace individuality and diversity of thought, encouraging our employees to take risks and expand expertise within a comfortable environment. We encourage those to apply who are passionate about self-learning and the non-traditional workplace. You will: Polish our in-house trading dashboard into enterprise products that fit a variety of clients’ needs Distill loose ideas into valuable data products Identify and incorporate new data sources into our platform Build and maintain ETL pipelines in Apache Airflow You will need a background in: Python (2+ years software development experience) Data modeling Exposure to a task scheduler (Airflow, Luigi, etc) Ability to architect solutions in the cloud (preferably on AWS) Docker CI/CD Nice to Haves: Experience with AWS lambda, or other FaaS platforms Familiarity with React Our hiring is non-discriminatory to race, age, gender, background or experience. We embrace diversity of thought and intentionally hire from a wide array of backgrounds. Benefits & Culture 100% coverage of health, vision and dental insurance 401K employer match (3%) Stock Options Frequent (optional) team events Unlimited PTO Communal space with full scale-kitchen, lounge and quiet corners" Data Scientist - Supply Chain Planning,"Bellevue, WA",T-Mobile,"The Data Scientist position will play a key role in T-Mobile's Network Supply Chain technology domain and 5G build out, with a focus on supply chain planning. This role will design and operationalize various kinds of descriptive, predictive, and prescriptive analytics to drive supply chain planning optimization. The Data Scientist will partner with numerous technical teams and supply chain stakeholders to collaborate, test hypotheses, build proof of concepts, and turn data into information that supports supply chain planning. These activities will be conducted using languages and tools such as R, Python, Data Bricks, SSIS, SQL, and Excel. The Data Scientist is a knowledgeable leader who is passionate about supply chain data modeling, forecasting, optimization, and possesses a strong vision of how data science can create value. Experience is desired in the areas of applied analytics in supply chain, such as building demand forecasting models and applying ML methods to improving supply/inventory planning. Specific experience deploying algorithms within o9 Solutions is desired.Responsibilities Responsibilities Perform ad hoc data mining and statistical analyses on complex supply chain planning problems. Drive the development and implementation of supply chain planning algorithims on the supply chain planning solution. Research and work with technical teams to implement new and emerging technologies that will facilitate better data integrity, reliability, and enrichment for quantitative solutions. Provide guidance to cross-functional teams on approach and methodologies as a data science subject matter expert. Also responsible for other Duties/Projects as assigned by business management as needed.Qualifications Qualifications 2 to 4 years' experience of working with large data sets, including supply chain planning data. Experience of working with common relational and/or non-relational databases and common web data and social data sources. Experience of developing statistics-based analytics reports, ideally around supply chain planning scenarios Bachelor's Degree in quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc) Languages and tools such as R, Python, Data Bricks, SSIS, SQL, and Excel Computer science, mathematics, statistics, engineering, etc. Ability to understand business (supply chain planning) problem statements, requirements and use cases, then translating those into technology solutions using dataCompany Profile As America's Un-carrier, T-Mobile USA, Inc. (NASDAQ: ""TMUS"") is redefining the way consumers and businesses buy wireless services through leading product and service innovation. The company's advanced nationwide 4G and 4G LTE network delivers outstanding wireless experiences for customers who are unwilling to compromise on quality and value. Based in Bellevue, Washington, T-Mobile USA. Inc. provides services through its subsidiaries and operates its flagship brands, T-Mobile and Metro by T-Mobile. For more information, please visit http://www.t-mobile.com Applicant Privacy Policy We are committed to maintaining your trust by respecting and protecting your privacy. For more information about how T-Mobile processes the personal data of job applicants, please visit Applicant Privacy Policy.EOE Statement We Take Equal Opportunity Seriously - By Choice. T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination or harassment based upon any of these factors is wholly inconsistent with our Company values and will not be tolerated. Furthermore, such discrimination or harassment may violate federal, state, or local law." "Data Scientist, Research","Sunnyvale, CA",Niantic,"Do you want to help connect people all over the world on a team building the next generation of planet scale AR games? We're looking for a hardworking individual who lives and breathes data. As a data scientist, you are detail oriented and thorough but also thrive in a dynamic, fast-paced environment. You'll help drive growth and introduce Niantic games to a worldwide audience as a key contributor to Niantic's performance marketing team. Responsibilities ---------------- Enjoy making sense of large, complex data sets and generally getting your hands dirty working directly with the data. Employ time series regression, predictive modeling, and other analytical tools to generate, test, and improve models that predict business trends. Work with Engineering, Marketing, User Acquisition, and Management to build predictive models and produce detailed performance reports that help drive business decisions. Translate your real-world experience with performance-based marketing into actionable engineering tasks, data queries, analysis, and reports. Qualifications -------------- Experience with mobile marketing, especially detailed knowledge of how User Acquisition is done. Understanding of metrics such as CPI, LTV, ARPPU, retention, and k-factor. Adept working with SQL - you should be able to write complex queries in your sleep and you're excited working hands-on with data. Experience applying machine learning techniques like classification, regression, and clustering. Solid understanding of statistics, probability theory, and linear algebra. Demonstrated proficiency with the concepts and tools required to run experiments, e.g. A/B testing tools, randomized controlled trials. Experience with BI, dashboarding, and visualization tools (e.g. Tableau, Looker, Periscope, Grafana). Candidate will have 4+ years work experience in data science or related analytics roles. Holds a BS in mathematics, statistics, engineering, machine learning or related field. Graduate degree preferred but not required. Join the Niantic team! ---------------------- Niantic is the world's leading AR technology company, sparking creative and engaging journeys in the real world. Our products inspire outdoor exploration, exercise, and meaningful social interaction. Originally formed at Google in 2011, we became an independent company in 2015 with a strong group of investors including Nintendo, The Pokémon Company, and Alsop Louie Partners. Our current titles include pioneering global-control game Ingress, record-breaking AR game Pokémon GO, and recently released third title, Harry Potter: Wizards Unite. Niantic is an Equal Opportunity and Affirmative Action employer. We believe that cultivating a workplace where our people are supported and included is essential to creating great products our community will love. Our mission emphasizes seeking and hiring diverse voices, including those who are traditionally underrepresented in the technology industry, and we consider this to be one of the most important values we hold close. We're a hard-working, fun, and exciting group who value intellectual curiosity and a passion for problem-solving! We have growing offices located in San Francisco, Sunnyvale, Bellevue, Los Angeles, London, Tokyo, Hamburg, and Zurich." HR Data Scientist,"Edison, NJ 08837",Hackensack Meridian Health,"Description: The HR Data Scientist will be leading advanced HR analytics projects supporting Hackensack Meridian Health. The HR Data Scientist will wrangle large data sets, conduct complex analyses, and present results using informative visualizations. The HR Data Scientist will leverage statistical analyses and a variety of software and tools (R, Python, Tableau, Visier) to uncover people insights for HR. In addition, the HR Data Scientist will conduct presentations and provide training on HR Analytics and Data Science. Responsibilties: 1. Distill complex data into actionable insights that empower others to drive operational strategic initiatives. 2. Design, build, and extract large and complex data sets, including both structured and unstructured data, while thinking strategically about uses of data and how data use interacts with data design. 3. Deliver intelligence and insights to HR stakeholders within a specified timeframe by applying and demonstrating expertise in the areas of advanced analytics, forecasting, data wrangling, and predictive modeling. 4. Evaluate data quality and provide support to data governance activities. 5. Communicate findings (written, visually, and verbally) to diverse stakeholders and present to senior leadership. 6. Utilize knowledge of programming languages (Python, C, C++, etc.) to help optimize manual processes. 7. Other duties and/or projects as assigned. 8. Adheres to HMH Organizational competencies and standards of behavior. Qualifications:Education, Knowledge, Skills and Abilities Required: 1. Advanced degree (M.S. or Ph.D.) in quantitative fields (statistics, engineering, physics, epidemiology, or STEM) and 3 years' experience in data analytics, advanced statistical analysis, or predicative analytics required; or an equivalent combination of education and/or experience. 2. Strong experience with structured data and relational databases, and familiarity with unstructured data. 3. Extensive experience analyzing HR metrics. 4. Experience with statistical programming software, such as R, SAS, or Stata. 5. Experience with programming languages (Python, C, C++, etc.) 6. Experience with visualization and HR analytics tools (Tableau, Power BI, Visier etc.) 7. Ability to structure analysis with efficiency and repeatability in mind. 8. Ability to investigate, organize, and merge data from different sources into a single data structure. 9. Ability to execute logical data queries from HR, operational, billing, and clinical information systems. 10. Hands on experience with data mining and predictive modeling. Education, Knowledge, Skills and Abilities Preferred: 1. Knowledge or experience in healthcare industry. 2. Experience with PeopleSoft." Associate Data Scientist,"Chicago, IL","Blue Cross Blue Shield of IL, MT, NM, OK & TX","HCSC is looking for Associate Data Scientists to join one of our analytics teams. Data scientists work embedded in specific business areas or on our centralized enterprise analytics team to develop data science products using machine learning, data visualization, and other forms of advanced analytics. The data science community is growing rapidly at HCSC, and we are looking for new members interested in learning and collaborating to help solve business problems with data driven solutions. At the largest customer-owned and not-for-profit health insurer and fourth largest health insurer overall in the United States, you will have the opportunity to work with massive datasets to drive revenue growth, improve our operational and member-facing processes, and affect how healthcare is delivered to our 15 million members. An ideal candidate would be someone who has a track record of technical leadership and successful delivery of analytical products or projects, loves working with data, demonstrates a continuous learning and growth mindset, possesses an interest in the intersection of healthcare and technology, and has an ability to communicate complex technical concepts to non-technical audiences. There are multiple positions available and candidates will be leveled during the application and interview process. Job Purpose: This position is responsible for using advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems. Performs complex statistical analysis on experimental or business data to validate and quantify trends or patterns identified by business analysts. Constructs predictive models, algorithms and probability engines to support data analysis or product functions; verifies model and algorithm effectiveness based on real-world results. Designs experiments and methodologies to generate and collect data for business use. Required Job Qualifications: Bachelors degree and 1 year of work experience in an advanced mathematical, statistical, engineering, physics or related quantitative field; OR Actuarial credential or Master's degree in an advanced mathematical, statistical, engineering, physics or related quantitative field without experience; OR 6 years experience in an advanced mathematical, statistical, engineering, physics or related quantitative field. Learning and growth mindset.Learning and growth mindset.Customer-focused.Interpersonal, verbal and written communication skills. Experience in at least three of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare.Microsoft applications including Access, Excel, Word and Power Point. Preferred Job Qualifications: Masters or Ph.D. in a quantitative field, or bachelors degree with significant healthcare experience.Strong coding experience in SQL, R, and/or Python.Experience working with healthcare data This position is based in Chicago, IL. Relocation will not be provided for this position. CAHCSC is committed to diversity in the workplace and to providing equal opportunity and affirmative action to employees and applicants. We are an Equal Opportunity Employment / Affirmative Action employer dedicated to workforce diversity and a drug-free and smoke-free workplace. Drug screening and background investigation are required, as allowed by law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Requirements: Expertise Data Science Job Type Full-Time Regular Location IL - Chicago HCSC is committed to diversity in the workplace and to providing equal opportunity and affirmative action to employees and applicants. If you are an individual with a disability or a disabled veteran and need an accommodation or assistance in either using the Careers website or completing the application process, you can call us at 1-866-977-7378 to request reasonable accommodations. Please note that only requests for accommodations in the application process will be returned. All applications, including resumes, must be submitted through HCSC's Career website on-line application process. If you have general questions regarding the status of an existing application, navigate to ""my account"" and click on ""View your job submissions""." Associate Data Scientist,"Austin, TX 78701 (Downtown area)",Levelset,"Each month over 500,000 contractors and suppliers connect on Levelset's cloud-based platform to make payment processes stress-free. Users easily exchange payment documents like lien waivers, pay applications, and preliminary notices, they see a complete picture of who is on their job, and are empowered with the resources and knowledge they need to be confident in payment. The results are faster payments and fewer surprises. All of this activity generates millions of entities, records, attribution, and entity relationships. We use this data to create insights about the payment activity of projects and contractors, which helps our users get paid. That's where you come in. You'll be Levelset's first Data Scientist and have the opportunity to influence how we expand our data science use cases across the business and products. You will need to be a ""data utility player"" and be prepared to be able to move data around, analyze opportunities, select the tools and build the infrastructure to support data science, and use our data to innovate our product and advance our purpose. The work you do and models you build will have a direct impact on our users. Types of projects you'll be working on: Text Analysis and Entity Recognition We send thousands of documents and ingest thousands more from external sources. This data is messy, sometimes unstructured, and we need to be smarter about how we correlate company entities. How can we tell if two companies with similar names are the same or different? We are collecting thousands of reviews from our users to capture feedback on different contractors on things like payment timeliness, communication practices, etc… How can we summarize the overall sentiment of reviews for a specific contractor and what are the common pros / cons? Advanced Analytics and Data Discovery We have a lot of data on the payment history of contractors. How can we rate the payment risk of a contractor and share that information with users in a helpful, digestible way? A large commercial construction project can last many years and include hundreds of contractors. Or a single address can have multiple projects over the years with different contractors. Or a property, like an office building, can have different distinct projects going on at one time. How can we tell the difference? Data Modeling and Heuristics A user is on a project that we know other subcontractors are experiencing slow payment on. What other documents should we recommend the user do to ensure they get paid? Most of the construction industry is based on working relationships and prior work history. What relationships and other parties can we infer that are working on the project based on the existing connections from other projects we see in our graph? Skills you'll need: 1-3 years of experience working with Machine Learning, Optimization, Neural Networks and/or Artificial Intelligence A broad understanding of data science techniques and a willingness to ""go deep"" and learn more about a specific topic as it relates to our opportunities. Data cleansing experience using various utilities and programming techniques Text analytics, natural language processing, and entity recognition/extraction to turn documents into information Data processing / ETL to prep and clean data for analysis and production pipelines. R / Python / SQL / Cypher. You'll be helping us build our DS stack out, but familiarity with the tools we have in place will help, including: MySQL, Redshift/Postgres, Neo4j, Kafka, RabbitMQ, and the AWS stack. Why Levelset? Levelset is one of the South's fastest-growing tech companies with 100% growth year over year. Named New Orleans City Business ""Best Place to Work,"" ""Top Company Culture"" by Entrepreneur Magazine, part of the Inc. 5,000 fastest growing companies, and voted best company for leadership, perks and benefits, work-life balance, and professional development as well as best CEO for woman and diversity by Comparably. We push ourselves to break records and to drive the growth of the company while we celebrate wins and have fun every day. We will invest in you, we will challenge you, and we will push you to grow. You will be surrounded by the best colleagues and given the opportunity to shake up a billion dollar industry. We care where you will be in 3 years, 5 years, and 10 years and we're invested to help you get there. You're joining a stellar team where you can have a huge impact and help us change the world. We have a very competitive health benefits package and a fun office environment. We have monthly company parties and catered lunch every Wednesday. We offer unlimited vacation and an annual personal travel stipend. xdPEX5WT3e" Data Science Intern,"San Francisco, CA 94104 (Financial District area)",Twitch,"About Twitch ------------ Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate, learn, and grow their personal interests and passions. We're always live at Twitch. Stay up to date on all things Twitch on Linkedin ( https://www.linkedin.com/company/twitch-tv/ ), Twitter ( https://twitter.com/Twitch ) and on our Blog ( https://blog.twitch.tv ). About the Position ------------------------ The Science team drives evidence-based decision-making throughout Twitch. We are researchers and leaders who advise product and business decisions and identify ways to use data and models to develop new capabilities. We are an interdisciplinary team leveraging experts in analytics, data science, and user and audience research to improve the world's leading live-streaming platform. Our team seeks an outstanding interns with demonstrated experience delivering insights from complex data. We prize creative problem solvers with the ability to draw on an expansive methodological toolkit to understand the unique Twitch environment. Our problems include attributing values to actions in complex, multi-sided markets and helping diverse creators discover their drivers of success. The ideal candidate combines great intuition with data-science acumen to grapple with these and other challenges and guide decision-making at the highest levels of Twitch. Responsibilities Drive Twitch's knowledge of users and creators through ownership of research projects from data collection to model development, estimation, and validation Balance short-term projects with long-term, foundational and/or transformative research Identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation Collaborate with specialists in data science, analytics, engineering, and economics disciplines to efficiently develop reliable and reproducible analyses at scale Deliver well-documented datasets, tools, and reports to key technical and business stakeholders Requirements MS in computer science, economics, statistics, or highly related field OR 2+ years experience on a data, research, or applied science team OR equivalent applied research experience Excellent written and verbal communication skills on quantitative topics Fluency in data-science fundamentals: data manipulation in R or Python, SQL, and statistics Keen judgment for balancing research depth and pacing Perks ----- Housing & competitive stipend provided Breakfast, Lunch & Dinner Served Daily Free Snacks & Beverages Flexible PTO We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records." Data Scientist,"San Diego, CA",Solar Turbines,"Job Description We are looking for a high performing Data Scientist to join our dynamic digital team at Solar Turbines. The Data Scientist will apply analytical methods to extract insights from data in support of product development, sales, marketing, and most importantly our customers. The Data Scientist will contribute to our mission by leveraging their quantitative analysis, data management, modeling and/or data visualization skills as an individual contributor to project teams tasked with solving business and engineering problems. The ideal candidate is adept at using large and diverse data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Responsibilities: Solar collects and stores a myriad of data relating to the manufacturing, sales, operation, and maintenance of machinery. The role of the Data Scientist is to use data analysis and problem-solving to extract insights from this data to solve business and technical problems. Typical problems include the development of analytics to detect faults or failures from data acquired from machinery in operation, supporting sales requests through historical data analysis, to creating visualizations to enable intelligent, data-driven business decisions. The principal responsibility of the Data Scientist is to be an independent contributor to multi-person Agile development teams. This position has a depth of knowledge in quantitative analytic methods, data management, and or associated digital technologies. The work is typically directed by the Agile development team in coordination with a product owner and business stakeholders. The Data Scientist will: Demonstrate a breadth of knowledge in the application statistical and first principle analysis methods to solve business problems Conduct exploratory data analysis, data munging / cleaning, and create informative visualizations Create software-based solutions such as algorithms in code, applications, APIs, Business Intelligence Dashboards Collaboratively work with engineers, software developers, subject matter experts, and business representatives Be capable of presenting work through clear and effective communication to explain their problem-solving processes and conclusions to audiences with varied knowledge and experience with quantitative analytical methods Collaborate on shared software code by adhering to good software development practices, version control, and rapid iteration Have a strong focus on continual learning technology developments, and analysis techniques Minimum Qualifications B.S degree or commensurate experience in STEM (Science, Technology, Engineering, and Math) Minimum of 3 years related work experience Minimum of 1 year of experience working with industrial machine data Experience in data-science, statistical analysis, and machine-learning methods or experience in physics based analysis and modeling Proficient in one of the following programming languages (Python, Matlab, R, C++, or related) Experience with Agile development cycles Experience working on teams that develop new software products Preferred Qualifications M.S. degree or higher (or commensurate experience) in STEM (Science, Technology, Engineering, and Math) Experience in the modeling of machinery, specifically rotating equipment Demonstrated knowledge of rotating equipment and industrial IOT Experience working with time-series data Experience with integrating with relational data stores (SQL, Postgres) Working knowledge of functional and object-oriented programming Experience and demonstrated skill organizing and articulating complex technology concepts Motivated self-starter who can work with team members to rapidly iterate to solve problems Ability to immerse oneself in an industrial software market, and quickly add value to a team Excellent written and oral communications skills Capable of self-managing and multi-tasking in a fast-paced environment Ability to collaborate on international and cross-organization teams Ability to apply critical thinking and analytical skills to recommend creative solutions to business and technical challenges A curious thinker who is passionate about solving problems, executing on ideas, and delivering tangible solutions Desire to change the world! Auto req ID 9155BR Location Skypark 5 Country United States State/Region/Province California Company Solar Turbines Incorporated Job Category Field Services Minimum Education Level Bachelors Degree Minimum Years Experience 3 to 5 Shift 1st Shift Travel Requirements None to minimal Relocation Eligibility This position does not qualify for relocation. Benefits Eligibility Solar Turbines offers a competitive compensation and benefits package including medical, dental, life insurance, vacation, 401k, incentive bonus, tuition reimbursement and professional development/advancement opportunities. Company Info Headquartered in San Diego, California, USA, Solar Turbines Incorporated, a subsidiary of Caterpillar Inc., is one of the world’s leading manufacturers of industrial gas turbines, with more than 15,000 units and over 2 billion operating hours in over 100 countries. Products from Solar Turbines play an important role in the development of oil, natural gas and power generation projects around the world. Solar Turbines’ products include gas turbine engines (rated from 1590 to 30,000 horsepower), gas compressors, and gas turbine-powered compressor sets, mechanical-drive packages and generator sets (ranging from 1 to 22 megawatts). Solar’s customers put the company’s products to work in many areas including production, processing and pipeline transmission of natural gas and crude oil and generation of electricity and thermal energy for processing applications, such as manufacturing chemicals, pharmaceuticals, and food products. Solar’s foundation is people and Solar’s culture is one where individual contributions are valued, diversity in the workplace is encouraged, and safety is emphasized in all aspects of the business. Solar Turbines is comprised of a dedicated and multi-talented workforce of more than 7,000 employees with decades of experience working as a global team. Solar Turbines is an EEO/AA Employer. All qualified applicants – including minorities, females, veterans and individuals with disabilities – are encouraged to apply. Solar Turbines conducts Drug Screens and Background Checks EOE Plus Solar Turbines is an Equal Opportunity Employer. Solar Turbines conducts Drug Screens and Background Checks." Data Scientist,"Irvine, CA","CorVel Enterprise Comp, Inc.","The data scientist is a role within the Analytics Team and reports to the Director of Analytics. This role will play a pivotal role in planning, executing and delivering machine learning-based projects. The bulk of the work will be in machine learning (ML) modeling, management, and problem analysis, data exploration and preparation, data collection and integration, operationalization. Candidates need to be very much self-driven, curious, and creative. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES: Scope data science projects and the corresponding key performance indicators (KPIs) for success. Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science. Understand new data sources and process pipelines, and catalog/document them. Assist in creating data pipelines for more efficient and repeatable data science projects. Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA). Network with domain experts to better understand the business mechanics that generated the data. Apply various ML and advanced analytics techniques to perform classification or prediction tasks. Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing. Testing of ML models, such as cross-validation, A/B testing, bias, and fairness. Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options. Continuously monitor the execution and health of production ML models. Guidance around best practices around ML production infrastructure. Upskill yourself (through conferences, publications, courses, local academia, and meetups). Encourages and builds mutual trust, respect, and cooperation among team members. Additional projects and duties as assigned KNOWLEDGE & SKILLS: Mathematics, statistics and data analysis. Excellent written and verbal communication skills. Ability to find resources and data both within the organization and external to it. Ability to understand business objectives and interpret them independently and transition into work product, gleaning information and insights from data to help the team achieve business objectives. Substantial coding knowledge and experience in several languages: for example, R, Python/Jupyter, SQL, Scala, C#, etc. Experience of working across multiple deployment environments including cloud, on-premises, and hybrid. Ideally, experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Jupyter, Spark / Databricks, Microsoft AzureML. EDUCATION/EXPERIENCE: A bachelor’s or master’s degree (preferred) in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field. Alternate experience and education in equivalent areas such as economics or engineering is acceptable. Experience in more than one area is strongly preferred. Candidates must have a specialization in ML, AI, cognitive science or data science. Candidates to have three to six years of relevant project experience in successfully planning & executing professional data science projects. Ideally, the candidates are adept in agile methodologies and well-versed in applying DevOps/MLOps methods to the construction of ML and data science pipelines. Ideally, candidates should exhibit significant project experience in applying ML and data science to business functions such as financial risk analytics, insurance, marketing analytics, quality assessment, e-commerce platforms, process control, target marketing, etc. All candidates must be eligible to work in the United States without VISA sponsorship We are an Equal Opportunity Employer. All persons shall have the opportunity to be considered for employment without regard to their race, color, age, sex, gender, religion, national origin, ancestry, citizenship status, physical or mental disability, military service, veteran status or any other characteristic protected by applicable federal, state or local law. We will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this application or to participate in an interview, please let us know. Note to Employment Agencies: Please do not forward agency resumes. CorVel Corporation is not responsible for any fees related to unsolicited resumes. Please be aware that CorVel generally does not review all applications/resumes submitted in response to job openings posted on the Internet because of the large volume of responses" Grad Intern Data Scientist (Summer 2020),"Hershey, PA",The Hershey Company,"Location: Hershey, PA Duration: Summer 2020WHY HERSHEY? The Hershey Company is a global fortune 500 company that is a recognized leader in the Consumer Packaged Goods industry. Our goal is to integrate students with our knowledgeable and successful teams in order to maintain a fresh perspective on an ever-changing world. Every day presents new challenges and opportunities to learn, grow and innovate. Are you up for the challenge? Are you ready to make a difference?WHY TECHNOLOGY AT HERSHEY? The Information Services department at The Hershey Company has open internships for analytically minded, tech-savvy undergraduate and graduate students. Technology and analytics are elemental to all aspects of Hershey business. Hershey has a diverse global team focused on providing robust innovative capabilities, partnering on analysis to drive successful business outcomes and embraces an entrepreneurial mindset to create an environment that is exciting, compelling, innovative and dynamic.OPPORTUNITIES: We are looking for a Data Scientist Intern who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data.PRIMARY RESPONSIBILITIES: Interact with customers directly to understand the business problem, help and aid them in implementation of ML/DL algorithms to solve problems As part of a team, use machine learning, deep learning and other analytical techniques to create scalable solutions for business problems Demonstrate understanding of forecasting, optimization, statistical analysis and operations research. Extensive knowledge of forecasting techniques such as trend analysis, econometric models and machine learning is preferred Design, develop and evaluate highly innovative models for predictive learning, content ranking, and anomaly detection Analyze and extract relevant information from historical data to help automate and optimize key processes Work closely with technology, business and engineering teams to drive model implementations and adoption of new algorithms.QUALIFICATIONS: Master’s degree with STEM focus preferred, Ph.D. welcome to apply Strong working knowledge of machine learning, deep learning and statistics Familiarity with agile methodology Strong attention to detail Ability to think creatively and solve problems Startup mindset & innovative thinkerEDUCATION: +1 years of experience using R and/or Python +1 years of professional experience or relevant coursework/projects +1 years of relevant experience building machine learning or deep learning models and/or systems +1 years of experience building, training, scoring, tuning and maintaining predictive models Experience with deep learning a plus The Hershey Company is an Equal Opportunity Employer. The policy of The Hershey Company is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's race, color, gender, age, national origin, religion, citizenship status, marital status, sexual orientation, gender identity, transgender status, physical or mental disability, protected veteran status, genetic information, pregnancy, or any other categories protected by applicable federal, state or local laws.The Hershey Company is an Equal Opportunity Employer - Minority/Female/Disabled/Protected Veterans" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Marketing Data Scientist,"Southfield, MI 48033",Credibly,"Who We Are: We believe in small and medium-sized businesses and the people who grow them. At Credibly, we leverage cutting-edge data science, technology, partner relations and customer support to provide business owners with hyper-fast access to right-sized capital solutions.The Company: Founded in Michigan in 2010, Credibly has over $1B in financing to small business customers, and was named in 2014, 2015, and 2016 to the Inc. 500 list of fastest growing private companies in America. Since then, Credibly has accelerated its growth – opening offices in New York and Arizona, building out their data science capabilities and microservices, technology, and product suite to better accommodate the needs of business owners nationwide.The Opportunity: The incumbent will partner closely with Marketing and be responsible for leveraging analytics and data science to maximize marketing ROI. The successful candidate will be able to form solid partnerships with all teams across the company - Marketing, Sales, Technology, Finance, Operations and Risk. ResponsibilitiesLeverage analytics and data science to provide analysis in response to Marketing team’s requests (both longer term projects and ad-hoc) Develop framework to analyze effectiveness of digital and outbound telemarketing and partner with Marketing to executeCreate statistically rigorous A/B tests for campaigns and ads and measure effectiveness of current marketing investmentsBuild prospect and customer segmentations for use in strategy and campaigns Build response and customer lifetime value (CLV) models Ability to translate data analyses into business insights Qualifications Background of at least 3 years in Marketing AnalyticsSolid applied statistics and machine learning skills e.g., regression, decision trees, ensemble and boosting techniquesExpert coding skills including SQL and at least one statistical language such as Python, R or SAS Excellent verbal, written, and interpersonal communication skillsAbility to thrive in a fast-paced start-up environment Creativity and ability to turn data into actionable strategies that will drive business resultsMaster’s Degree in a quantitative discipline from a top university" Data Scientist,"Irvine, CA","CorVel Enterprise Comp, Inc.","The data scientist is a role within the Analytics Team and reports to the Director of Analytics. This role will play a pivotal role in planning, executing and delivering machine learning-based projects. The bulk of the work will be in machine learning (ML) modeling, management, and problem analysis, data exploration and preparation, data collection and integration, operationalization. Candidates need to be very much self-driven, curious, and creative. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES: Scope data science projects and the corresponding key performance indicators (KPIs) for success. Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science. Understand new data sources and process pipelines, and catalog/document them. Assist in creating data pipelines for more efficient and repeatable data science projects. Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA). Network with domain experts to better understand the business mechanics that generated the data. Apply various ML and advanced analytics techniques to perform classification or prediction tasks. Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing. Testing of ML models, such as cross-validation, A/B testing, bias, and fairness. Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options. Continuously monitor the execution and health of production ML models. Guidance around best practices around ML production infrastructure. Upskill yourself (through conferences, publications, courses, local academia, and meetups). Encourages and builds mutual trust, respect, and cooperation among team members. Additional projects and duties as assigned KNOWLEDGE & SKILLS: Mathematics, statistics and data analysis. Excellent written and verbal communication skills. Ability to find resources and data both within the organization and external to it. Ability to understand business objectives and interpret them independently and transition into work product, gleaning information and insights from data to help the team achieve business objectives. Substantial coding knowledge and experience in several languages: for example, R, Python/Jupyter, SQL, Scala, C#, etc. Experience of working across multiple deployment environments including cloud, on-premises, and hybrid. Ideally, experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Jupyter, Spark / Databricks, Microsoft AzureML. EDUCATION/EXPERIENCE: A bachelor’s or master’s degree (preferred) in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field. Alternate experience and education in equivalent areas such as economics or engineering is acceptable. Experience in more than one area is strongly preferred. Candidates must have a specialization in ML, AI, cognitive science or data science. Candidates to have three to six years of relevant project experience in successfully planning & executing professional data science projects. Ideally, the candidates are adept in agile methodologies and well-versed in applying DevOps/MLOps methods to the construction of ML and data science pipelines. Ideally, candidates should exhibit significant project experience in applying ML and data science to business functions such as financial risk analytics, insurance, marketing analytics, quality assessment, e-commerce platforms, process control, target marketing, etc. All candidates must be eligible to work in the United States without VISA sponsorship We are an Equal Opportunity Employer. All persons shall have the opportunity to be considered for employment without regard to their race, color, age, sex, gender, religion, national origin, ancestry, citizenship status, physical or mental disability, military service, veteran status or any other characteristic protected by applicable federal, state or local law. We will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this application or to participate in an interview, please let us know. Note to Employment Agencies: Please do not forward agency resumes. CorVel Corporation is not responsible for any fees related to unsolicited resumes. Please be aware that CorVel generally does not review all applications/resumes submitted in response to job openings posted on the Internet because of the large volume of responses" Data Scientist,"Brook Park, OH",Technosphere Inc,"ResponsibilitiesBuilds and validates predictive models of a known issue with some assistance, utilizing large scale data from multiple data sources and ensures adoption of the model. Drives continuous improvement to existing models and reviews other Data Scientists' models.Uses machine learning techniques to create data-driven solutions for various business use-cases.Understands business needs and identifies potential use cases in more than one business unit. Develops a minimal viable product to meet those needs while resolving any issues that may arise.Analyzes and mines very large quantities of data across a small set of domains in collaboration with other data scientists to find patterns and insights utilizing statistical software.Writes code for the scope of work being done.Collaborates with other data scientists to analyze potential new data sources for availability and quality and integrates with existing databases. Performs data cleaning and analysis.Interprets, communicates, and presents analytic results to manager level and below.Collaborates primarily with fellow data scientists and occasionally interacts with business partners, project managers, and other domains to build analytics capabilities and drive business value.May also include other duties as needed such as design of experiments.RequiredMaster's degree in a quantitative field including but not limited to data science, analytics, and statistics and 2-3 years of data science experience or bachelor’s degree and 3-5 years of data science experience.Experience in the credit industry or finance preferred.Experience applying statistical techniques in 1 or more business units or domains (marketing, credit risk, supply chain, CRM etc.)Demonstrates Proficiency in Machine Learning2 years of programming experience in statistical software (Python, R, or SAS) and able to demonstrate proficiency at an experienced level. Experience with Python is preferredAbility to work with large data sets from multiple data sourcesAbility to communicate complex analytics concepts and techniques to manager level and belowAbility to work collaboratively with other data scientists and multiple stakeholders across the business unitIntellectual curiosity, a passion for data and a results orientationJob Type: Full-time" Data Scientist I,"Farmington, NM",San Juan Regional Medical Center,"Love what you do; Love where you live Required Qualifications : Bachelors Degree in Business or related area Minimum 2 years computer experience required, especially with databases, word processing, and spreadsheets Ability to maintain detailed and organized records required Ability to prepare professional reports and graphics is a plus Exemplary customer service skills Excellent communication skills Preferred Qualifications : Programming knowledge helpful Required Behaviors : As you go about fulfilling this mission, your work habits and work relationships should embody SJRMC's values. These values are our culture, our identity as an organization. Sacred Trust, Personal Reverence, Thoughtful Anticipation, Team Accountability and Creative Vitality ask more of us than merely completing some list of tasks. Our values ask for a deeper level of commitment and, what is asked of us, we freely give because we believe in our mission. Duties and Responsibilities : Facilitate and submit data for Truven’s database, including Explore, Medstat Custom report compilation and writing using Meditech Provide data to state agencies and support SJRMC’s ancillary facilities with reports and scorecards Liaison to IT for technical updates that impact mandatory reporting, i.e., Quality Measures. Gather and input ED data for CMS Quality Measures. Each employee is responsible for implementing SJRMC’s Service Standards into their daily work Safety Courtesy Effectiveness Stewardship Other duties as assigned This position requires a dedicated individual who is flexible, highly engaged in the dynamics and competing priorities of the Quality Data Team and is able to speak to their work in various settings. The Data Scientist I is able to utilize data to identify progress, performance, and opportunities for improvement for quality, inpatient and outpatient clinical areas, patient experience, finance and other metrics. This position focuses on data integrity, timeliness, and transparency. Work assignments may include short or long-term coverage for the work tasks of other data team roles, report writing and presentations utilizing PowerPoint, Excel or other advanced programs. The Data Scientist I may be responsible for the ongoing management of the organization’s Balanced Scorecard, Harm Scorecard, or other documents that support reimbursement programs like value-based purchasing, pay-for-performance or insurance incentives. The primary goal is to work independently and as a team to transform raw data into meaningful information that facilitates organizational decision-making and maximum reimbursement. This position will align quality data with the organization’s strategic plan and centralize the consistent roll out of data and information throughout the organization. The Data Scientist I may represent his or her work in presentations to all levels in key quality committees including Quality Council, Medical Staff Quality and Performance Improvement Committee, Quality Assurance Performance Improvement (QAPI), and others. This role serves as a knowledgeable resource in quality data, defender of data integrity and oversight of basic data work products. This role develops a basic understanding of how data supports and drives LEAN/Six Sigma performance improvement initiatives; accreditation through Der Norske Veritas (DNV), the Baldrige Excellence Framework and other best practice standards. Physical Demands and Environmental Work Must be able to perform accurately and quickly in a busy, stressful environment, setting priorities as to duties Sitting for prolonged periods of time Able to spend long hours in front of a computer" Data Scientist I,"Phoenix, AZ 85004 (Central City area)",Freeport McMoRan,"Freeport-McMoRan is a leading international mining company with headquarters in Phoenix, Arizona. We operate large, long-lived, geographically diverse assets with significant proven and probable reserves of copper, gold, and molybdenum. The company has a dynamic portfolio of operating, expansion and growth projects in the copper industry. Freeport-McMoRan is one of the world’s largest publicly traded copper producers, the world’s largest producer of molybdenum and a significant gold producer. We have a long and successful history of conducting our business in a safe, highly efficient and socially-responsible manner. We have the assets, the talent, the drive and the financial strength to provide attractive and rewarding careers of our employees. We encourage you to take the time to explore the opportunity to advance your career at Freeport-McMoRan. Description You will be an instrumental member of our vision for analytics-driven mining at Freeport. We have gathered vast data sets from across the mining ecosystem by deploying sensor technology and the data infrastructure to support it. Now, we are in a position to use the richest data pool in our history to solve complex and meaningful problems, so our team is growing and seeking bright individuals eager to be a part of the journey. Contribute to the deployment of ensemble machine learning methods, deep learning, and advanced optimization techniques to drill into our toughest challenges. Leverage sharp research skills to test hypotheses and draw insights to support our goal of industry-leading, resource-efficient copper mining. Utilize modern cloud technologies, such as Microsoft Azure, to deliver innovative analytics solutions at scale and visualize their impact for leadership. Actively support the build, implementation, and maintenance of practical, analytical assets that effectively solve business problems using statistical methodologies. Qualifications Minimum Qualifications Bachelor’s degree in a related field AND Five (5) years of relevant work experience OR Master’s degree in a related field AND three (3) years of relevant work experience OR Ph.D. in a related field and one (1) years of relevant work experience Preferred You are an analytics professional who enjoys grappling with vast data sets, tapped from our long-standing investment in collecting and cleaning data. You are a quantitative enthusiast who can build complex predictive models and unlock their value through Python, R, SQL and / or other rigorous analytical environments. You are a tested researcher with a background in breaking down problem statements into their root causes and tailoring solutions based off of your findings. Strong oral and written communication skills in English language Criteria/Conditions Ability to understand and apply verbal and written work and safety-related instructions and procedures given in English Ability to communicate in English with respect to job assignments, job procedures, and applicable safety standards Must be able to work in a potentially stressful environment Position is in busy, non-smoking office located in Phoenix, AZ Location requires mobility in an office environment; each floor is accessible by elevator and internal staircase Travel required up to 50% Occasionally work may be performed in a mine, outdoor or manufacturing plant setting Must be able to frequently sit, stand and walk Must be able to frequently lift and carry up to ten (10) pounds Personal protective equipment is required when performing work in a mine, outdoor, manufacturing or plant environment, including hard hat, hearing protection, safety glasses, safety footwear, and as needed, respirator, rubber steel-toe boots, protective clothing, gloves and any other protective equipment as required Freeport-McMoRan promotes a drug/alcohol free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing as per applicable State Laws Freeport-McMoRan has reviewed the jobs at its various office and operating sites and determined that many of these jobs require employees to perform essential job functions that pose a direct threat to the safety or health of the employees performing these tasks or others. Accordingly, the Company has designated the following positions as safety-sensitive: Site-based positions, or positions which require unescorted access to site-based operational areas, which are held by employees who are required to receive MSHA, OSHA, DOT, HAZWOPER and/or Hazard Recognition Training; or Positions which are held by employees who operate equipment, machinery or motor vehicles in furtherance of performing the essential functions of their job duties, including operating motor vehicles while on Company business or travel (for this purpose “motor vehicles” includes Company owned or leased motor vehicles and personal motor vehicles used by employees in furtherance of Company business or while on Company travel); or Positions which Freeport-McMoRan has designated as safety sensitive positions in the applicable job or position description and which upon further review continue to be designated as safety-sensitive based on an individualized assessment of the actual duties performed by a specifically identified employee. Equal Opportunity Employer/Protected Veteran/Disability" Quantitative Trader/Data Scientist,"Santa Clara, CA",Big Data Federation,"Location Santa Clara, CA (Silicon Valley) Employment Type Regular full time Company Big Data Federation, Inc. is an artificial intelligence-driven financial technology company which develops and applies innovative machine-learning technologies to big data to predict financial and economic fundamentals metrics. We are a team of technologists, mathematicians, data scientists, and software programmers. Job Profile We are seeking a creative machine learning and quantitative researcher to drive algorithmic trading for our evolving AI-based asset management products. You will be responsible for end-to-end design and implementation of trading algorithms as well as testing, execution, and performance monitoring. You will have the opportunity to contribute to investment strategy development, portfolio construction, and risk management. You will work closely with a team of data scientists and software engineers. We seek a professional developer with a track record of developing quantitative models for actual profitable trading to conduct the following duties: Design and develop execution-efficient trading algorithms Work closely with data platform team to implement infrastructure to source and process large real-time and historical market data Real-time risk modeling, portfolio management analysis, and discovering momentum of securities, futures, and other derivatives of interest Build process automation logic to support trading operations Experience 5+ years of professional experience in an algorithmic trading/model development environment with focus on global equities, commodities, fixed income instruments and/or related derivatives (such as futures, warrants, etc.) Strong background in classical machine learning and deep knowledge in a variety of techniques in feature selection, regression, classification, and clustering, together with their real-world advantages and drawbacks Advanced understanding of order types and adaptive trading algorithms such as VWAP, TWAP, trailing limit, Iceberg, and Reserve Experience with market data sets including tick data, extended market hours, futures, options data Hands-on experience with applied mathematics, e.g. linear algebra, probability, and statistics Proficient with C++, Python, R and their respective library ecosystems Knowledge of with SQL and NoSQL databases Familiar with Agile/Scrum processes Past experience with development of high frequency trading strategies is a plus High ethical standards Education Master’s degree in computer science or an engineering/math/statistics/science discipline with a strong computer science component Compensation Competitive salary Performance bonus Stock options Full health benefits: medical, vision and dental 401(k) Paid time off Life insurance Short-term and long-term disability coverage Please send cover letter and resume to jobs@bigdatafed.com" Data Scientist,"South Plainfield, NJ",Primesys Technologies,"Experienced Big Data developer with strong analytical skills Qualifications Design and develop big data solutions using industry standard technologies. Develop web services that make big data available in real-time for in-product applications. Work with data architects to ensure that Big Data solutions are aligned with company-wide technology directions. Lead fast moving development teams using agile methodologies. Communicate progress across organizations and levels from individual contributor to senior executive. Identify and clarify the critical few issues that need action and drive appropriate decisions and actions. Communicate results clearly and in actionable form. Demonstrate strong implementation aptitude to translate objectives into a scalable solution to meet the needs of the end customer while meeting deadlines. Designing, integrating and documenting technical components for seamless data extraction and analysis on big data platform Passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source technologies and software paradigms" Data Scientist,"Honolulu, HI 96813",Central Pacific Bank,"Position Function: As an experienced member of our Management Reporting and Analysis team, we look first and foremost for people who are passionate about solving business problems through innovation & analytics. Responsibilities include performing statistical analysis, data mining and retrieval processes on internal and external data to identify trends and other relevant information to solve or address a variety of business problems, optimize business performance and gather business intelligence. Performs all duties and interacts with internal and external customers in a manner aligned with the Company's Core Values of Teamwork, Integrity and Exceptional Services (TIES); Customer Experience Competencies of Customer Interaction, Empowerment and Ownership; and Basic Skills of Listening, Oral Communication, Written Communication, Action Orientated, Thoroughness, Problem Solving.Minimum Qualifications: Education:Bachelor's Degree in advanced financial engineering or statistics focused subject from an accredited 4-year university requiredMaster’s Degree or PhD in quantitative discipline preferred Experience:5+ years of financial engineering or statistics focused Competencies:Achieving Results - Drive for ResultsCommunication & Influencing - Influencing OthersOperating Skills - Diagnostic Information GatheringOperating Skills - OrganizingOperating Skills - Priority SettingStrategic Skills - Dealing with AmbiguityStrategic Skills - Intellectual HorsepowerStrategic Skills - Strategic AgilityOperating Skills - Analytical ThinkingSelf-Management - Adaptability Knowledge, Skills & Abilities:Strong analytical skills including analysis, data collection, process mapping and troubleshooting for root causeAdvanced experience with R, Python, SAS or other statistical programming languagesStrong general technical ability, including proficiency in SQL or equivalent query language.Advanced experience with BI tools such as Tableau, Cognos, Excel Physical Demands:Must be able to perform light physical work and to move or lift items including but not limited to boxes, files and papers up to 20 pounds unless otherwise as indicated.Must be able to operate and proficiently use standard office equipment, including phone, copier, personal computer and/or other work related mechanical or electronic devices and applications.Must be able to clearly communicate verbally and in writing with all internal and external customers. Must also be able to hear sufficiently to engage in daily discussions and interactions.Must be able to read and understand bank-related documents. Must be able to work in a conventional office setting, involving sitting at a desk or workstation for long periods of time. Must also be able to adapt to different work environments as needed to perform the job." VPICU Data Science Student Intern-Per Diem,"Glendale, CA",Children's Hospital Los Angeles,"Work That Matters - Our work is 24 hours a day, 365 days a year. No one has more expertise treating children than Children's Hospital Los Angeles. CHLA is the only children's hospital in California to make the prestigious U.S. News & World Report Honor Roll of ""Best"" children's hospitals, and is nationally ranked in all 10 pediatric specialties. Join a hospital where the work you do will matter—to you, to your colleagues, and above all, to our patients and families. At times the work may be challenging, but it is always rewarding. We hope you’ll come and find out for yourself. It’s Work That Matters. The student intern will receive training in fundamentals of data science, data, and clinical problems. Will work with VPICU mentors and clinicians on a specific project. Will munge data, prepare truth, train a machine learning model, assess performance of said model, and aggregate results into a manuscript for submission to a journal. For more information please see these slides: VPICU Data Science Internship Google Slide Deck This role is a Per Diem position, typically 2-4 months in duration, not to exceed 1 year, and is a Non-Benefitted position. Student Interns typically work 40 hours per week. Minimum Qualfications/Work Expereince: Candidates will have experience programming in python and relevant libraries (pandas, sklearn, matplotlib). Experience with deep learning libraries (such as Keras) is a plus. Must be legally eligible to work in the United States. Applicants with relevant hospital or managed care experience will be given preference. .Ability to communicate effectively and tactfully both verbally and in writing. Proficiency in Microsoft Word, Excel, and PowerPoint. Ability to maintain confidentiality of sensitive information. Must have strong follow-through, initiative, and the ability to work independently. Education/Licensure/Certification: Bachelor’s Degree, preferred. Must be an undergraduate or graduate student currently enrolled and expected to receive a bachelor’s or graduate degree in a medical or STEM (math, engineering, cs, etc.) field." Metrics Data Scientist (Maps),"Santa Clara Valley, CA 95014",Apple,"Summary Posted: Jan 22, 2020 Weekly Hours: 40 Role Number:200132367 Apple Maps Evaluation team is looking for an experienced data scientist to join our Metrics Engineering Data Insights team. Our team supports Apple Maps wide metrics that provide a holistic view of Apple Maps product quality. Our work spans the entire data ecosystem: metrics design, instrumentation, data set design, data quality checks, batch and real time applications, and reporting. We partner with Data Infrastructure, Maps Client, and Engineering teams to ensure that we report metrics that are based on the highest quality data. Key Qualifications You've had 4+ years doing quantitative data analysis; experience crafting data collection and/or data pipelines is a plus. 4+ years SQL or Hive experience. 4+ years of experience in Python, R or other scripting languages. Experience in designing analytic solutions to open-ended problems. Experience in building relationships across teams, communicating technical content and analytical insights to teams from various discipline. Description The Metrics Data Science team is responsible for data instrumentation and metrics design. You will monitor data quality, and serves as champions of data privacy within Apple Maps. A successful Metrics Data Scientist is self-driven and passionate about “figuring things out”. You're comfortable communicating findings to peers, partners, and Maps leadership. You love to dive deep into data, understand data quality measures. Your discovery of patterns and insights drive product implementation changes. You can advocate for the partner teams who make product decisions based on our metrics. You'll work in a cross-functional setting to generate the best possible metrics for our partner teams. You'll develop analysis around product metrics data and ensure the data meets high quality standards. You will work closely with Maps Client Engineers, Privacy Engineering, and Data Platform teams to find opportunities for improving data collection. You'll build relationships across the Maps data ecosystem to understand end-to-end processes and how Maps information moves from device to data repositories and dashboards. You will have the opportunity to very quickly make great contributions to the Apple Maps product. Education & Experience Bachelors degree and 4+ years of work experience, or M.S or Ph.D. with 2 or more years professional experience." Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Scientist,"Charlotte, NC","PartnerRe Holdings Europe Limited, Dublin","Data ScientistThe role holder, based in North America, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition. They will be responsible for providing advice and expertise to internal and external clients, via:Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)Development & deployment of predictive modelsEffective data driven storytellingResearch and product development on application of analytic techniques to existing and new product areasDevelopment of self and others on analytic techniquesInternal and external presentations and publicationsAbout youYou will be a technically excellent individual with relevant experience and expertise, and an ability to be pragmatic and demonstrate commercial sense. A desire to experience new and challenging areas is a key requirement.The ideal candidate will be an excellent communicator, capable of working in a dynamic, culturally diverse international environment. They will be able to lead complex developments and projects independently, but will also be an effective team player ready to meet the business needs.The individual must be adept at handling practical data sets so that questions posed by the business can be addressed within short timescales.Experience/Skills:Statistical skills normally acquired though graduate level educationPractical experience in data analysis and predictive modeling using the R programming language (especially tidyverse)Other machine learning tools are a plus (e.g., H2O, TensorFlow/Keras)Familiarity with Linux, SQL and/or Shiny is desirableLife and/or Health insurance industry strongly desirable(re)Insurance experience is a plus but not requiredCorporate language is English; additional languages are beneficialThe position is based in PartnerRe’s Charlotte office, but occasional travel is expected.Why PartnerRePartnerRe is a leading global reinsurer that was established in 1993, in the aftermath of Hurricane Andrew, to bring much-needed capacity to a market in crisis, helping insurers to provide continuity to their clients. Though we have evolved continuously throughout the years, our purpose remains the same: to help insurance companies succeed.We are a global and culturally diverse team of more than 1,000 talented professionals spread across 20 locations. Our size ensures that we are big enough to matter and be relevant to our clients and brokers, but small enough that you will quickly get to know all of the colleagues that you will be collaborating with. More importantly, PartnerRe is a company where you can make a real impact and get a true sense of the contribution you make to the company′s success and results.Our culture is based on trust, responsibility, openness, and initiative, and we pride ourselves on delivering the best possible reinsurance solutions for our clients. We are always looking for bright, proactive people with expert knowledge skills, and integrity to join our international teams.PartnerRe Charlotte: The Charlotte office is our newest principal office. It was established as part of our initiative to grow our U.S. life reinsurance business. Charlotte is one of the 5 fastest growing cities in the United States and offers a dynamic and extremely livable location with moderate cost of living and a fantastic climate. Our Charlotte office is home to the leadership of both our U.S. life reinsurance business as well as our Global Financial Solutions business while housing staff from a variety of other functions.PartnerRe is an equal opportunities employer who values and supports diversity and inclusion. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. All applications will be evaluated on their technical merits for the specific role they have appliedApply nowJob Type: Full-timeExperience:corporate environment: 3 years (Preferred)Application Question:1. How many courses in statistics, machine learning, or advanced modeling have you had?2. Can teach others without web assistance3. Can write code without Google" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Boston, MA 02111 (Downtown Crossing area)",Homesite Insurance,"Homesite Insurance was founded in 1997 and was one of the first companies to enable customers to purchase home insurance directly online, during a single visit. Since then, we've continued to innovate rapidly to meet the needs of our customers and their changing expectations. One thing that's stayed the same since our founding: our commitment to our customers, partners and employees. Join us on our journey as we continue to grow into a powerful contender in the field of insurance. Homesite is an innovative national property and casualty insurance company with a fast-paced environment. We offer multiple products in partnership with large national brands. We seek a person possessing analytical rigor, a sense of data and mad coding skills to grow profits through development of state of the art pricing and product plans. The primary role will be to: Lead predictive modeling projects involving new rating structures, recommenders and underwriting programs that increase our customer lifetime value. Use statistical and machine learning/deep learning to build supervised, semi-supervised and unsupervised models as per business needs. Work with fellow data scientists and developer team to translate models to business solutions and collaborate with other departments in the company when necessary. Work with IT to help implement the models in production. Interface with stakeholders to communicate the value add of the models being built. Requirements: Master’s degree or higher in Statistics, Machine Learning, Computer Science, Applied Mathematics, Physics or other quantitative discipline. Solid understanding of Machine Learning and Statistical methods. Ability to extract and clean data from a variety of structured and unstructured sources. Solid understanding of best practices in coding, code organization, data transformation, imputation, model selection, evaluation, and tuning. Prior experience with GLMs and Bayesian modeling is a plus. Experience with AWS (SageMaker) and exposure to deep learning is preferred. Proficiency in programming in Python, R and SQL. Knowledge of Go, Java or Scala is a plus. Knowledge of one version control system, preferably Git is required. Mastery of the command line is good to have. Prior experience with H2O and DataRobot is a plus." Data Scientist,"Bellevue, WA",Discovery Communications,"Position Summary: About Discovery Discovery, Inc. is the global leader in real life entertainment. We serve passionate fans with content that inspires, informs, and entertains, providing leadership across deeply loved and trusted brands, such as Discovery Channel, TLC, Animal Planet, HGTV, Food Network, and Travel Channel. Available in 220 countries and territories and 50 languages, Discovery reaches viewers on all screens and services, from free-to-air and pay-TV channels, to digital products and streaming services, to social and mobile-first content and formats. Discovery delivers over 8,000 hours of original programming each year.About Us Discovery's Digital group is a well-funded start-up within Discovery, Inc. We are fast, nimble, and have fun developing new, innovative, and immersive digital products and content for iconic brands. We are working at the crossroads of technology, entertainment, and every day utility. As content creators across the digital ecosystem, we continuously leverage our technology to create immersive viewing and interactive experiences. We tell engaging stories to millions of viewers across the Internet every day, and bring new interactive experiences to life to not only entertain, but improve the lives of our customers. Position Summary We are hiring a Data Scientist in Bellevue, Washington to help build, scale, and improve data models to drive key features and deliver critical insights across our food, home, and lifestyle products. The Data Scientist will bring their experience and skill to the Data Science and Analytics team and contribute wholly or partly in creating scalable data models using various modeling or machine learning techniques to support our direct-to-consumer products and apps. This role will own whole or components of data models that drive specific product features and drive insights in support of our consumer products across mobile, tablets, web, connected TV, voice, and emerging technologies. They will use big data platforms and statistical, econometric, and/or machine learning techniques to enable product capabilities and features beyond what is feasible using heuristics or curation. The data scientist will ensure the ongoing performance of reliable and ever-improving data models using modern modeling technologies. An ideal candidate will be a driven, passionate advocate for using data science to produce great experiences for our customers. This person will make data-driven decisions, have an insatiable curiosity, love to invent and innovate to solve difficult problems, and obsess about their customers. They will have a strong point of view but remain open-minded should evidence lead elsewhere. They are a team player whom others enjoy working with because they are reliable, innovative, and care for their team members. They build trust with people from all areas of the business and have a proven track record. The data scientist takes end-to-end ownership of their work and consistently delivers results in a fast-paced environment. When their models fail to perform at first, they persist, learn, and iterate to deliver ever improving data models and solutions. Responsibilities: 1. Partner with product, marketing, engineering, and analytics stakeholders to understand and prioritize where we can leverage data science and modeling to support key business goals and processes. 2. Determine the best modeling approach to solve and automate various problems - finding solutions that effectively balance performance, simplicity, and scalability. 3. Work with engineering and analytics teams to identify scalable, accessible data sources for modeling. 4. Design, build, maintain, and improve data models to deliver customer, product, and marketing features and insights. 5. Ensure data models are production ready and perform to sufficiently support real-time product usage. 6. Prepare redundant and scalable data models that efficiently use resources and elegantly handle disruptions. 7. Ensure data integrity and accuracy across all model inputs. 8. Partner with other data science teams to share best practices and insights to support ongoing learning. 9. Make data science techniques approachable and understandable to non-data scientists. 10. Support the hiring and development of other data scientists, analysts, and other technical professionals, helping them enhance their skills, while supporting a fun and engaging culture. Requirements:Minimum of 3+ years of proven technical experience in data science and modeling.Experience with statistical programming languages, such as Python or R is required.Experience in structuring, cleansing, and preparing large, complex datasets for modeling. Experience with SQL and other data querying techniques. Experience with Apache Spark and Hadoop is preferred. Experience with Amazon Web Services (Redshift, S3, EC2, EMR, etc.) is preferred. Demonstrated ability to work across product, engineering, and analytics teams to evaluate new ideas, discuss technical concepts, create scalable designs, implement new models, and make tradeoffs to remove roadblocks.Strong understanding of digital products, e-commerce economics and strong business acumen.Demonstrated ability to iterate and improve models both prior to and after they are implemented in production.Strong written and verbal communication skills. Can communicate the results of your work clearly to your audience. Master’s degree in quantitative or technical field (engineering, statistics, computer sciences, etc.) is a required.Must have the legal right to work in the United States Belleve, Washington, WA, Seattle" AWS Data Scientist,"Alexandria, VA",Datawiz Corporation,"2-3 days of working remotely per weekDatawiz is actively seeking an AWS Data Scientist to join our team in Alexandria, VA. Responsibilities: Utilize strong technical and analytical skills to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights, which in turn can address a pressing business problem.Using latest technologies to design and implement analysis infrastructure and tools, analytic workflow processes, and complex data visualizations.Leverage understanding of mathematical and statistical concepts, computer science and or domain expertise to bridge the gap between technologists and program staff, ensuring data solutions meet business requirements.Work developing processes and technical implementations to provide data sets to analytic pilots and innovation efforts.Sanitize data to lower the risks of exposure of sensitive data.Establish and support analytics innovation, including supporting COTS and SAAS analytics tools.Requirements:8+ years of relevant IT experience and a Bachelor’s Degree (12+ years of relevant IT experience required without a Bachelor’s Degree)Experience with Amazon Web Services analytic offerings including concepts, tools and scriptingExperience with quantitative analysis and using databasesExperience with writing analytics to answer business or mission problemsExperience with scripting, data transformation, SQL, etc.Preferred Skills:Experience COTS products in statistics, ETL processes, and quantitative workflow automationExperience with working in Linux and Windows Server environmentsAbility to consult with non-technical audiences on technical problemsAbility to take poorly defined problems and convert them into questions for which practical quantitative solutions can be definedAbility to exhibit flexibility, initiative, and innovation to succeed in an ambiguous and fast-paced environment to compose client deliverable quality documentation, analysis, and reportsAbility to be detail-oriented and organizedJob Type: ContractSalary: $70.00 /hourExperience:IT: 8 years (Required)AWS: 5 years (Preferred)Scripting : 5 years (Preferred)Education:Bachelor's (Preferred)Contract Length:More than 1 yearContract Renewal:LikelyWork Location:One locationSchedule:Monday to Friday" Data Scientist,"Chicago, IL 60661 (West Loop Gate area)",TransUnion,"What We'll Bring: At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation. We are consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology. What You'll Bring: A graduate degree in the hard sciences with advanced coursework in statistics 2-5 years of professional analytical modeling experience, solving problems relevant to the problems we solve at TransUnion Advanced proficiency with one or more statistical programming languages such as R or SAS; additional experience writing intermediate SQL queries for data extraction preferred Ability to clearly articulate ideas to both technical and non-technical audiences Strong project management skills with the ability to oversee and manage small project teams to meet project deliverables inclusive of delegating work, setting clear goals, and managing customer expectations We’d Love to See: Experience within the Insurance or Financial Services industry Impact You'll Make: Collaborate with internal and external partners to deliver innovative analytical products and insights. You will be directly involved in the development of predictive modeling and business intelligence solutions for clients such as credit lenders, insurance carriers, and other financial services institutions Contribute to projects involving descriptive, predictive, and prescriptive analysis leveraging a variety of techniques (such as segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis, and machine learning) Lead small projects and/ or workstreams as a part of larger projects; this may involve delegating tasks to other team members and managing the team to meet deliverables on time Dig in by extracting data and performing segmentation and statistical analyses on large population datasets (using languages such as R, SAS, SQL, and Python on Linux and PC computing platforms) Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers at various levels including an executive audience Help to cultivate an environment that promotes excellence, innovation, and a collegial spirit We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.TransUnion's Internal Job Title: Sr Analyst, Data Science and Analytics" Junior Data Scientist,"Columbus, OH",ROSEN Group,"DESCRIPTION New Challenge: New Team, New Office! Protect Our Environment With Your Algorithms Have you ever thought about pipelines and integrity? Why should pipelines need machine learning? The answer is simple: Pipeline inspections generate a lot of sensor data (e.g. from ultrasonic sensors) which have to be analyzed using state of the art computer vision techniques. Think of it like doing healthcare just for pipelines. Interested? Then learn more about industrial machine learning applications and data analysis for pipeline data in a start-up environment. Be part of a new team. Shape the team and your future. Enjoy working in a multi-cultural and multi-national team. We love Python, C++, Tensorflow, Docker, Kubernetes and want to stay as close as possible to the state of the art tools, research in machine learning, data science and big data. Our ideal team member has a creative mind and natural curiosity when faced with challenging data science tasks. We cherish self-improvement and continuous learning and we offer the possibility to create new data-driven visions for the future using your own methods. We are looking for a new team of Data Engineers Data Scientist (AI, machine learning) Software Developer IT System Administrator (DevOps) You will be working in an extremely creative environment with a lot of freedom, focused on a joint target with great opportunities to grow internationally. ROSEN is going to extend its Data Analytics Footprint in Columbus, Ohio and you can be part of this groundbreaking journey for our company.Responsibilities: Designing and applying (machine learning) algorithms for extraction of information from data of any kind Designing and improving numeric methods (algorithms) Definition of algorithm test procedures Development of algorithms as minimum viable products focusing on early customer feedback Providing support for integration of algorithms in MVPs (Minimum Viable Products). Providing support for productive implementations of algorithms and MVPs Deriving technical parameters and specifications from measured data Creation and maintenance of related technical documentation Researching, rating and implementing development tools Using open source software concerning signal processing, computer vision and data science Gathering, cleaning, processing and analyzing of big, heterogeneous data sources Participation in identification and usage of technology trends in the areas of high performance computing, NoSQL databases and Big Data Visit of national and international conferences on a regular basisREQUIREMENTS Skills, Entry Level: Good knowledge in at least one of the following subjects: numeric, signal & image processing, machine learning, software development Application of methods without further insight Product knowledge in corresponding technology Good knowledge of physics Experience with data cleaning and data analysis Solid knowledge of applied mathematics (linear algebra, optimization, probability theory) Some experience with data science and computer vision Experience with at least one object oriented programming language (e.g. Python, C, C++ or Java)Education: Successfully completed a degree in physics, electrical engineering, computer science or similar fields (PhDs welcome) 1-2 years experience in algorithmic development OUR OFFER About Rosen-Group: The ROSEN Group in Coumbus, USA acts as a partner in technology development for 20 global subsidiaries. The location supports the entire Group, developing, building and delivering innovative solutions based on client requests." Data Scientist,"Menlo Park, CA",Gayathri's Sandbox,Experiment engineers will be expected to help define and develop our core software for designing and deploying advanced experiments. Data Scientist / Analyst,United States,Smartlocating Corporation,"Description Looking to work at fun and dynamic software company? We're a growing software company looking for an experienced Data Scientist and Analyst to develop BI solutions to transcend data into actionable insight. As a winner of the 'Houston Best & Brightest Companies to Work for ', we place strong emphasis on offering a fun work-environment, healthy work-life balance of course, fun and challenging work. Responsibilities Analyze large data sets and identify anomalies and relationships. Conducts root cause analysis and recommend solutions to complex business challenges. Develop data-driven decision and predictive models by working with structured and unstructured data sets Develop metrics to measure and tune business processes. Benefits Location Independent. Competitive base salary with large bonus opportunities. Fun and dynamic work culture - see our reviews on Glassdoor Requirements 2+ years of experience with data analysis and business intelligence 2+ years of experience creating KPI dashboards and analytics and is able to tell compelling data-based stories Ability to present findings and translate data into dashboard." Data Scientist,"South Plainfield, NJ",Primesys Technologies,"Experienced Big Data developer with strong analytical skills Qualifications Design and develop big data solutions using industry standard technologies. Develop web services that make big data available in real-time for in-product applications. Work with data architects to ensure that Big Data solutions are aligned with company-wide technology directions. Lead fast moving development teams using agile methodologies. Communicate progress across organizations and levels from individual contributor to senior executive. Identify and clarify the critical few issues that need action and drive appropriate decisions and actions. Communicate results clearly and in actionable form. Demonstrate strong implementation aptitude to translate objectives into a scalable solution to meet the needs of the end customer while meeting deadlines. Designing, integrating and documenting technical components for seamless data extraction and analysis on big data platform Passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source technologies and software paradigms" Data Scientist,"San Francisco, CA",Alt Shift USA,"Responsibilities include: Support/develop models for GAP INC. pricing platform Develop code for measurement of pricing actions Support optimization simulation in python/gurobi environment Enhance optimization models based on measurement opportunities Looking for people with: Strong quantitative training Substantial experience in creating optimization models Savviness with python/gurobi framework Business acumen and great communicationQualifications: 4+ years related professional experience Proven achievements resulting from building and supporting optimization models Degree in quantitative science (graduate degree a plus), Operations Research, Experience with languages used for querying (e.g. SQL/Hive), and optimization packages Proven ability to succeed in both collaborative and independent work environments. Ability to leverage experience to break a complex problem Experience working with business partners to validate the output of analytical models Retail industry experience preferred" Data Scientist,"Denver, CO",Course5 Intelligence,"Project: - Supply changes analytics Responsibilities Interact with business team to understand the requirements Interpreting the data to discover solutions and opportunities Design and plan analytics solution Develop the data science process to deliver supply changes outcome Cleaning and validating the data to ensure accuracy, completeness, and uniformity Devising and applying models and algorithms to mine the stores of big data Develop company A/B testing framework and test model quality Communicating findings to stakeholders using visualization and other means Ad-hoc request support for analysis Technical Skills Familiar with SAS analytics , ETL, Talend etc. Experience in Data science Python, R and Java etc. are required skill sets YK2UBkZHrt" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"New York, NY 10001 (Garment District area)",Scienaptic Systems,"Scienaptic (www.scienaptic.com) is a new age analytics company that offers end-to-end decisioning solutions powered by our Machine Learning (ML) and Artificial Intelligence (AI) based platform “Ether”. Ether is a transparent and impactful platform for leveraging the full power of machine learning in Credit Decisioning. We are creating ecosystems where artificial intelligence (AI) and human intelligence can work together to create greater consciousness for specific business use cases such as fraud, underwriting etc.We are dreamers, makers, explorers, and designers at heart and as practitioners of the ‘art of possible’, we have dedicated ourselves to harnessing the power of human-machine synergy. Our workplace includes high energy professionals and provides ample opportunity to initiate, innovate & make a difference. We are irreverent of conventional hierarchical structures, empowering you to take responsibility while also providing flexibility.We are looking for an energetic and experienced person as Data Scientist. The chosen candidate will be responsible for developing all aspects of data mining, predictive analytic, solution development to name a few. Experience in Banking and Financial Services, Customer Experience is a plus.Title: Data ScientistLocation: New YorkJob Type: Fulltime Permanent2 - 10 years of experience - data scientist, machine learning, programming (R, python, regresson modeling)Few expectations from the candidate are: - Focus on developing clear and concise analytical approach for problem solving with client partnership- Strong understanding of ML libraries and applications e.g. Neural Net, SVMs, Boosting methods and implementation using R/Python. Should have academic paper level understanding of math e.g. linear algebra, calculus etc.- Ability to code on SAS/R for data munging, analysis and insights and/or languages like Python for creating efficient production ready code- Managing delivery of projects incl. timely communication, setting milestones and tracking- Generating actionable insights for business/KPI improvements- Rich experience in at least one production ready deployment of Machine Learning algorithms is a plus.- Experience in working on real life large messy dataset to solve real business problems. Kaggle experience is a plus.Desired Qualifications & Experience for Data Science role are: - Minimum 2 years of experience with machine learning, analytic consulting, product development- Hands on coding experience with either of SAS/R/Python/Hive/Pig and demonstrated strong proficiency.- PhD, MBA, Masters in Economics / Statistics / Mathematics,- Should be comfortable working in a fast paced start up / small office environment- Strong written and oral communication skills- Passionate about innovating, solving bigger picture problems, dealing with ambiguity- Strong presentation & data visualization skills using either of Tableau, Qlikview, d3.js is a plusJob Type: Full-timeWork authorization:United States (Required)Required travel:25% (Preferred)" Full Stack Data Scientist,"Fort Meade, MD",Booz Allen Hamilton,"The Challenge: Are you excited at the prospect of unlocking the secrets held by a data set with algorithms you create? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data. We have an opportunity for you to use your analytical skills to improve national security. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for national security. Empower change with us. You Have:Experience with programming languages, including Python and JavaExperience with designing novel analytic methods and workflowsExperience with merging disparate data sources for varying data structures of contentExperience with Agile methodologies and best practices in DevOpsExperience with Big Data storage and processing techniques, including HDFS, Hive, Accumulo and Hadoop, or SparkAbility conduct data engineering to manage and manipulate large data sets over Cloud infrastructuresAbility to leverage a wide variety of data science tools and frameworksAbility to create custom Web interfaces, API calls, and systems integrationActive TS/SCI clearanceBS degree in CS, Information Science, or Engineering Nice If You Have:Experience with machine learning algorithm developmentExperience with sensor data fusionAbility to work with activity recognition and classificationMA or MS degree Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance required. Build Your Career: At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to: access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk change the world with the Data Science Bowl—the world’s premier data science for social good competition participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, onsite boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success. We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change. CMD" Grad Intern Data Scientist (Summer 2020),"Hershey, PA",The Hershey Company,"Location: Hershey, PA Duration: Summer 2020WHY HERSHEY? The Hershey Company is a global fortune 500 company that is a recognized leader in the Consumer Packaged Goods industry. Our goal is to integrate students with our knowledgeable and successful teams in order to maintain a fresh perspective on an ever-changing world. Every day presents new challenges and opportunities to learn, grow and innovate. Are you up for the challenge? Are you ready to make a difference?WHY TECHNOLOGY AT HERSHEY? The Information Services department at The Hershey Company has open internships for analytically minded, tech-savvy undergraduate and graduate students. Technology and analytics are elemental to all aspects of Hershey business. Hershey has a diverse global team focused on providing robust innovative capabilities, partnering on analysis to drive successful business outcomes and embraces an entrepreneurial mindset to create an environment that is exciting, compelling, innovative and dynamic.OPPORTUNITIES: We are looking for a Data Scientist Intern who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data.PRIMARY RESPONSIBILITIES: Interact with customers directly to understand the business problem, help and aid them in implementation of ML/DL algorithms to solve problems As part of a team, use machine learning, deep learning and other analytical techniques to create scalable solutions for business problems Demonstrate understanding of forecasting, optimization, statistical analysis and operations research. Extensive knowledge of forecasting techniques such as trend analysis, econometric models and machine learning is preferred Design, develop and evaluate highly innovative models for predictive learning, content ranking, and anomaly detection Analyze and extract relevant information from historical data to help automate and optimize key processes Work closely with technology, business and engineering teams to drive model implementations and adoption of new algorithms.QUALIFICATIONS: Master’s degree with STEM focus preferred, Ph.D. welcome to apply Strong working knowledge of machine learning, deep learning and statistics Familiarity with agile methodology Strong attention to detail Ability to think creatively and solve problems Startup mindset & innovative thinkerEDUCATION: +1 years of experience using R and/or Python +1 years of professional experience or relevant coursework/projects +1 years of relevant experience building machine learning or deep learning models and/or systems +1 years of experience building, training, scoring, tuning and maintaining predictive models Experience with deep learning a plus The Hershey Company is an Equal Opportunity Employer. The policy of The Hershey Company is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's race, color, gender, age, national origin, religion, citizenship status, marital status, sexual orientation, gender identity, transgender status, physical or mental disability, protected veteran status, genetic information, pregnancy, or any other categories protected by applicable federal, state or local laws.The Hershey Company is an Equal Opportunity Employer - Minority/Female/Disabled/Protected Veterans" Data Scientist,"Chicago, IL 60661 (West Loop Gate area)",TransUnion,"What We'll Bring: At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation. We are consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology. What You'll Bring: A graduate degree in the hard sciences with advanced coursework in statistics 2-5 years of professional analytical modeling experience, solving problems relevant to the problems we solve at TransUnion Advanced proficiency with one or more statistical programming languages such as R or SAS; additional experience writing intermediate SQL queries for data extraction preferred Ability to clearly articulate ideas to both technical and non-technical audiences Strong project management skills with the ability to oversee and manage small project teams to meet project deliverables inclusive of delegating work, setting clear goals, and managing customer expectations We’d Love to See: Experience within the Insurance or Financial Services industry Impact You'll Make: Collaborate with internal and external partners to deliver innovative analytical products and insights. You will be directly involved in the development of predictive modeling and business intelligence solutions for clients such as credit lenders, insurance carriers, and other financial services institutions Contribute to projects involving descriptive, predictive, and prescriptive analysis leveraging a variety of techniques (such as segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis, and machine learning) Lead small projects and/ or workstreams as a part of larger projects; this may involve delegating tasks to other team members and managing the team to meet deliverables on time Dig in by extracting data and performing segmentation and statistical analyses on large population datasets (using languages such as R, SAS, SQL, and Python on Linux and PC computing platforms) Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers at various levels including an executive audience Help to cultivate an environment that promotes excellence, innovation, and a collegial spirit We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.TransUnion's Internal Job Title: Sr Analyst, Data Science and Analytics" 075: Thermoregulation Data Scientist,"Detroit, MI",Dataspace,"Our client, a multi-billion dollar global leader in thermal technology, has asked us to provide them with a research oriented data scientist who also has a strong background in human anatomy/physiology. Your work in the area of human thermoregulation will help guide research projects that result in the development of a variety of thermal comfort systems, particularly things like heated seats, for the automotive industry. The work that you do will have a high level of impact, as the systems you help design will find their way into millions of vehicles. Furthermore, you’ll have lots of flexibility to develop, explore, and research your own ideas and will be encouraged to publish your findings. Do you have expertise in both physiology and data analysis? Interested in a position with global impact? If so, please submit your resume and fill out our questionnaire ASAP! THE WORK: The work includes: Designing and overseeing experiments and research projects that will provide new insight into the field of thermal-physiology Providing advanced statistical analysis of experiment results Leveraging a variety of data science and statistical tools This is a scientist / research position, not an engineering role. This client will not consider candidates who have strong engineering backgrounds but do not have experience in designing, executing, and analyzing the results of experiments. The chosen consultant will be working on a highly skilled team with some of the latest technologies. LOCATION: This client is located near the heart of Detroit, Michigan. In case you haven’t heard, the Detroit area is experiencing a new renaissance of technology, food, arts, and culture. Building on its storied history as the “Motor City”, Detroit is now reinventing itself as a home for a vibrant community of well-funded startups with all the amenities demanded by a sharp, urban crowd. With its constant offering of music and theatre performances, several of the nation’s best known museums, a trio of new major league sports arenas (and teams that occasionally win), and distinct neighborhoods of every flavor, the Detroit region truly has something for everyone! MODE: This is a permanent, full-time role. This company will consider recent PhD graduates so long as their coursework directly relates to physiology and data science or statistics. This company will provide visa sponsorships for uniquely qualified candidates. REQUIRED: Applicants must have: A strong background in physiology, anatomy, human biology, kinesiology, or a similar field A strong understanding of thermoregulation in humans A strong understanding of data science tools and methodologies - particularly time series analysis Experience designing and leading research projects Experience in research studies working with human subjects Experience with a variety of statistical tools DESIRED: In addition, it would be great if you had some background in thermodynamics or thermophysiology. COMPENSATION: Because this client will consider both experienced candidates as well as recent PhD graduates, compensation will be highly dependent on individual qualifications and experience. Compensation includes a bonus package equal to 8% of base salary as well as a strong benefits plan. INTERESTED? If you're interested and have the skills, we'd love to hear from you. Please answer our questionnaire and submit your resume right away! Thanks!" Data Scientist,"Boston, MA 02111 (Downtown Crossing area)",Homesite Insurance,"Homesite Insurance was founded in 1997 and was one of the first companies to enable customers to purchase home insurance directly online, during a single visit. Since then, we've continued to innovate rapidly to meet the needs of our customers and their changing expectations. One thing that's stayed the same since our founding: our commitment to our customers, partners and employees. Join us on our journey as we continue to grow into a powerful contender in the field of insurance. Homesite is an innovative national property and casualty insurance company with a fast-paced environment. We offer multiple products in partnership with large national brands. We seek a person possessing analytical rigor, a sense of data and mad coding skills to grow profits through development of state of the art pricing and product plans. The primary role will be to: Lead predictive modeling projects involving new rating structures, recommenders and underwriting programs that increase our customer lifetime value. Use statistical and machine learning/deep learning to build supervised, semi-supervised and unsupervised models as per business needs. Work with fellow data scientists and developer team to translate models to business solutions and collaborate with other departments in the company when necessary. Work with IT to help implement the models in production. Interface with stakeholders to communicate the value add of the models being built. Requirements: Master’s degree or higher in Statistics, Machine Learning, Computer Science, Applied Mathematics, Physics or other quantitative discipline. Solid understanding of Machine Learning and Statistical methods. Ability to extract and clean data from a variety of structured and unstructured sources. Solid understanding of best practices in coding, code organization, data transformation, imputation, model selection, evaluation, and tuning. Prior experience with GLMs and Bayesian modeling is a plus. Experience with AWS (SageMaker) and exposure to deep learning is preferred. Proficiency in programming in Python, R and SQL. Knowledge of Go, Java or Scala is a plus. Knowledge of one version control system, preferably Git is required. Mastery of the command line is good to have. Prior experience with H2O and DataRobot is a plus." Data Scientist,"Chicago, IL 60602 (The Loop area)",CGN Global,"We are actively recruiting for a Senior Consultant who specializes in Data Science who has the drive and desire to join a growing team and be a valuable member of this multi-dimensional organization. We look for people who strive for professional success in a diverse, entrepreneurial culture, that provides the flexibility to navigate a career path tailored to your talents and interests. We value professional development and continued learning, keeping you at the cutting edge of your field. Job Responsibilities: Collaborate directly with clients to frame, structure, analyze, and solve business problems for profitable growth, efficient operations, and new business models Design, develop, and deploy advanced analytics solutions, including predictive and prescriptive modeling, to enhance customer experience, revenue generation, and other business outcomes Obtain market and competitive intelligence, generate insights and shape growth strategy Financial analysis and business case creation including market opportunity, investments, ROI, NPV, phased roadmap, and sensitivity analysis Work with stakeholders across different functions of the organization to identify opportunities for leveraging company data to drive business performance Coordinate with different functional teams to implement models and monitor outcomes Create the culture and capabilities needed to drive change, with the understanding that people transformation is the most essential priorityQualifications: Bachelors or Master's degree in Business Analytics, Data Science, Statistics, Mathematics, Digital Strategy, Computer Science, Finance, Economics or related degree. Master’s degree preferred 5+ years of relevant professional experience Minimum 5 years in a leadership role Skilled in framing, structuring, analyzing, and solving business problems using data Strong experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Experience developing financial business cases Excellent written and verbal communication and presentation skills Ability to think and work independently, solve problems, and recommendations Proven experience in Project Management Experience in digital strategy and execution preferred Experience in growth strategy, market and competitive intelligence, including primary interviews, is a big plus This position is open to all locations nationwide. Applicants do not need to be in the Chicago area. Ideal candidates will be experienced and compatible with a consulting lifestyle, and be flexible to travel as needed. Travel could be up to 100%." Data Science Intern,"San Francisco, CA 94104 (Financial District area)",Twitch,"About Twitch ------------ Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate, learn, and grow their personal interests and passions. We're always live at Twitch. Stay up to date on all things Twitch on Linkedin ( https://www.linkedin.com/company/twitch-tv/ ), Twitter ( https://twitter.com/Twitch ) and on our Blog ( https://blog.twitch.tv ). About the Position ------------------------ The Science team drives evidence-based decision-making throughout Twitch. We are researchers and leaders who advise product and business decisions and identify ways to use data and models to develop new capabilities. We are an interdisciplinary team leveraging experts in analytics, data science, and user and audience research to improve the world's leading live-streaming platform. Our team seeks an outstanding interns with demonstrated experience delivering insights from complex data. We prize creative problem solvers with the ability to draw on an expansive methodological toolkit to understand the unique Twitch environment. Our problems include attributing values to actions in complex, multi-sided markets and helping diverse creators discover their drivers of success. The ideal candidate combines great intuition with data-science acumen to grapple with these and other challenges and guide decision-making at the highest levels of Twitch. Responsibilities Drive Twitch's knowledge of users and creators through ownership of research projects from data collection to model development, estimation, and validation Balance short-term projects with long-term, foundational and/or transformative research Identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation Collaborate with specialists in data science, analytics, engineering, and economics disciplines to efficiently develop reliable and reproducible analyses at scale Deliver well-documented datasets, tools, and reports to key technical and business stakeholders Requirements MS in computer science, economics, statistics, or highly related field OR 2+ years experience on a data, research, or applied science team OR equivalent applied research experience Excellent written and verbal communication skills on quantitative topics Fluency in data-science fundamentals: data manipulation in R or Python, SQL, and statistics Keen judgment for balancing research depth and pacing Perks ----- Housing & competitive stipend provided Breakfast, Lunch & Dinner Served Daily Free Snacks & Beverages Flexible PTO We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records." "Data Scientist, Research","Sunnyvale, CA",Niantic,"Do you want to help connect people all over the world on a team building the next generation of planet scale AR games? We're looking for a hardworking individual who lives and breathes data. As a data scientist, you are detail oriented and thorough but also thrive in a dynamic, fast-paced environment. You'll help drive growth and introduce Niantic games to a worldwide audience as a key contributor to Niantic's performance marketing team. Responsibilities ---------------- Enjoy making sense of large, complex data sets and generally getting your hands dirty working directly with the data. Employ time series regression, predictive modeling, and other analytical tools to generate, test, and improve models that predict business trends. Work with Engineering, Marketing, User Acquisition, and Management to build predictive models and produce detailed performance reports that help drive business decisions. Translate your real-world experience with performance-based marketing into actionable engineering tasks, data queries, analysis, and reports. Qualifications -------------- Experience with mobile marketing, especially detailed knowledge of how User Acquisition is done. Understanding of metrics such as CPI, LTV, ARPPU, retention, and k-factor. Adept working with SQL - you should be able to write complex queries in your sleep and you're excited working hands-on with data. Experience applying machine learning techniques like classification, regression, and clustering. Solid understanding of statistics, probability theory, and linear algebra. Demonstrated proficiency with the concepts and tools required to run experiments, e.g. A/B testing tools, randomized controlled trials. Experience with BI, dashboarding, and visualization tools (e.g. Tableau, Looker, Periscope, Grafana). Candidate will have 4+ years work experience in data science or related analytics roles. Holds a BS in mathematics, statistics, engineering, machine learning or related field. Graduate degree preferred but not required. Join the Niantic team! ---------------------- Niantic is the world's leading AR technology company, sparking creative and engaging journeys in the real world. Our products inspire outdoor exploration, exercise, and meaningful social interaction. Originally formed at Google in 2011, we became an independent company in 2015 with a strong group of investors including Nintendo, The Pokémon Company, and Alsop Louie Partners. Our current titles include pioneering global-control game Ingress, record-breaking AR game Pokémon GO, and recently released third title, Harry Potter: Wizards Unite. Niantic is an Equal Opportunity and Affirmative Action employer. We believe that cultivating a workplace where our people are supported and included is essential to creating great products our community will love. Our mission emphasizes seeking and hiring diverse voices, including those who are traditionally underrepresented in the technology industry, and we consider this to be one of the most important values we hold close. We're a hard-working, fun, and exciting group who value intellectual curiosity and a passion for problem-solving! We have growing offices located in San Francisco, Sunnyvale, Bellevue, Los Angeles, London, Tokyo, Hamburg, and Zurich." Graduate Studies Program - Data Scientist,"Washington, DC",Central Intelligence Agency,"As a Data Scientist Graduate Intern for the CIA, you will work side-by-side with other Data Scientists to organize and interpret data to inform US decision makers, drive successful operations, and shape technology and resource investments. Through CIA's global mission, the Agency has access to unique and highly specialized data. You will work with advanced hardware, software, and techniques to develop computational algorithms and statistical methods to identify patterns and relationships in large volumes of data. Data Scientists clearly communicate their conclusions to a diverse audience and develop technical expertise via hands-on experience and continuous learning, including Agency-sponsored training, academic conferences, and other professional development activities. The Graduate Studies Program allows you and the Agency to assess opportunities for permanent employment following your completion of Graduate school. Offices of the CIA – Directorate of Digital Innovation The Directorate of Digital Innovation (DDI) is at the forefront of defining the future of digital expertise within the CIA. DDI focuses on developing the workforce with cutting-edge skills, investing in IT infrastructure, and modernizing the way the Agency does business. DDI officers help accelerate the integration of innovative methods and tools to enhance the CIA's cyber and digital capabilities on a global scale and ultimately help safeguard our nation. Learn more about the Directorate of Digital Innovation. See our work in action: Life at CIA In addition to a comprehensive benefits package, the CIA offers exciting career opportunities and a dynamic environment. We're on the forefront of world-altering events – as they happen. So working here isn't just a job, it's a mindset and a lifestyle. US citizenship required (dual-national US citizens eligible). All positions require relocation to the Washington, DC metro area. Minimum Qualifications: Bachelor's degree Enrolled in a graduate program of study as a full-time student GPA of at least 3.0 on a 4-point scale Expertise in working with data using a combination of mathematics, computation, or visualization and interaction Experience through thesis research, internships, or work experience in a science, technology, engineering or mathematics (STEM) related field, such as: Computational social science Computer science Data analytics Economics Engineering Geospatial analysis Mathematics Operations research Physics Quantitative finance Statistics Availability to work at least one 90-day tour prior to graduation Attending school on a full-time basis before/following this internship Creativity Initiative Integrity Leadership abilities Problem solving skills Ability to work in a diverse team environment All applicants must successfully complete: A thorough medical and psychological exam A polygraph interview A comprehensive background investigation To be considered suitable for Agency employment, applicants must generally not have used illegal drugs within the last 12 months. The issue of illegal drug use prior to 12 months ago is carefully evaluated during the medical and security processing." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Marketing Data Scientist,"Southfield, MI 48033",Credibly,"Who We Are: We believe in small and medium-sized businesses and the people who grow them. At Credibly, we leverage cutting-edge data science, technology, partner relations and customer support to provide business owners with hyper-fast access to right-sized capital solutions.The Company: Founded in Michigan in 2010, Credibly has over $1B in financing to small business customers, and was named in 2014, 2015, and 2016 to the Inc. 500 list of fastest growing private companies in America. Since then, Credibly has accelerated its growth – opening offices in New York and Arizona, building out their data science capabilities and microservices, technology, and product suite to better accommodate the needs of business owners nationwide.The Opportunity: The incumbent will partner closely with Marketing and be responsible for leveraging analytics and data science to maximize marketing ROI. The successful candidate will be able to form solid partnerships with all teams across the company - Marketing, Sales, Technology, Finance, Operations and Risk. ResponsibilitiesLeverage analytics and data science to provide analysis in response to Marketing team’s requests (both longer term projects and ad-hoc) Develop framework to analyze effectiveness of digital and outbound telemarketing and partner with Marketing to executeCreate statistically rigorous A/B tests for campaigns and ads and measure effectiveness of current marketing investmentsBuild prospect and customer segmentations for use in strategy and campaigns Build response and customer lifetime value (CLV) models Ability to translate data analyses into business insights Qualifications Background of at least 3 years in Marketing AnalyticsSolid applied statistics and machine learning skills e.g., regression, decision trees, ensemble and boosting techniquesExpert coding skills including SQL and at least one statistical language such as Python, R or SAS Excellent verbal, written, and interpersonal communication skillsAbility to thrive in a fast-paced start-up environment Creativity and ability to turn data into actionable strategies that will drive business resultsMaster’s Degree in a quantitative discipline from a top university" "Data Science Intern, Strategic Functions IT – Summer 2020","Culver City, CA 90232 (Washington Culver area)","Sony Pictures Entertainment, Inc.","The Sony Pictures Entertainment Internship program offers a unique opportunity to work alongside the teams that come together to create movies, TV shows, and other great experiences. These seasonal, paid assignments provide meaningful and productive work that allow you to build your resume, experience and develop your skills further. You will be provided with challenging tasks, real-world experience, valuable networking opportunities, and many educational and social opportunities while on the lot. This Summer Internship is from May/June through August and all candidates must be able to work 40 hours a week, Monday through Friday. The Production Application Systems (PAS) team is responsible for supporting IT applications and initiatives in the production process from Creative through Post Production for Motion Pictures and Television. Included in that is the Data Science project that allows us to gain more value from existing dataset and build a better data architecture to support efficient BI reporting. RESPONSIBILITIES: The intern will act as a Data Science consultant to support the ongoing initiative to: Establish new BI infrastructure and data lake architecture for our key business stakeholders: TV Production Finance, MP Production Finance, MP Business Affairs, MP Finance, MP Legal Affairs Understand and integrate separate data sources to improve the BI reporting efficiency Analyze production data from all sources and give insights to guide on better decision making The intern will learn: Understanding of the IT infrastructure and data architecture built beyond the operation of a Hollywood studio Gain experience learning and using R/Python, Tableau, Alteryx, for elegant data preparation Create SQL materialized views for optimized performance of data visualizations Create algorithms for statistical tests, keywords matching, text mining, forecasting, cluster analysis, etc. QUALIFICATIONS: Experience Statistics, Computer Science, Data Analytics/Informatics and/or Business Analytics, or a related discipline Experience with Algorithm Design, Statistical Data Analysis, Database Management, NoSQL databases Excellent proficiency on SQL, R/Python, popular BI tools like Tableau and PowerBI PREFERRED QUALIFICATIONS: Pursuing a Master's or Bachelor's degree in Computer Science, Analytics, Data Science or related fieldSony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics." Internship Opportunities for Students: Data & Applied Sciences,"Redmond, WA",Microsoft,"Data Scientists at Microsoft help to improve the quality of experiences on our devices and services. We are looking for highly motivated and passionate Data Scientists to apply rigorous scientific methodology and algorithms to data in order to improve Microsoft’s devices, operating systems, and services. As a Data Scientist, you will provide unique insight into business and customer scenarios that cut across organizational boundaries and lead the growth of a data-driven culture within Microsoft. Do you want to work on a meaningful and impactful project and make a difference? Are you willing to learn from others and open to new ideas? Do you want to support others to succeed and operate in a highly-collaborative and global environment? If this sounds like you, Microsoft would like to invite you to come join us as you are, where you can find more than just a job. Read on to learn more about opportunities and apply online! Responsibilities As a Data Scientist intern, you will help formulate approaches to solve problems using well-defined algorithms and data sources. You will incorporate an understanding of product functionality and customer perspective to provide context for those problems. You will use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data. Successful Data Scientists will interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve. You will engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers. As a Data Scientist, you will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results. Qualifications Currently has or is in the process of obtaining their BA/BS or Masters in Computer Science, Mathematics, Economics, Statistics, Applied Sciences like Biostatistics, Physics, Chemistry, Computational Neurology and or other quant-focused field Some Engineering experience and or project course work using large data systems on SQL, Hadoop, etc. Proficiency using one or more programming or scripting language to work with data such as: Python, Perl, or C#. Some experience and or project course work performing data analysis and applying statistics working with tools such as: Excel, R, MATLAB, AMPL, or SAS. Some experience and or project course work with product and service telemetry systems. Some A/B Testing or experimentation (this can be from conducting real life science experiments, hypothesis testing in stats etc.) Not required but ideal. Some experience or course work applying basic ML to a type of data and or used algorithms to conduct experiments on data. Machine Learning strongly encouraged. Passion to learn from your peers, manager, and other stakeholders in the Data Science domain. Ability to interact with peers and stakeholders to drive product and business impact. Strong interpersonal and communications skills. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work." Genomics Data Scientist,"San Francisco, CA",DNAnexus,"DNAnexus® has built the world’s most secure cloud platform and global network for scientific collaboration and accelerated discovery. We embrace challenges and partnership to tackle the world’s most exciting opportunities across a spectrum of industries – biopharmaceutical, bioagricultural, sequencing services, clinical diagnostics, medical centers, government, and research consortia. As a Genomics Data Scientist, you will work on an interdisciplinary team of scientists, engineers, and product managers to create a cloud platform that offers users the ability to seamlessly manage and explore the genomic and phenotypic data of millions of samples. You will have the opportunity to work closely with scientists at the world’s top healthcare providers and pharmaceutical companies on projects leveraging the power of big data to improve human health. The ideal candidate is a bioinformatician / computational biologist with success in leading research studies combining next-generation sequencing data with various forms of phenotypic, transcriptomic, metabolomic, and other clinical data. She or he will have an extremely strong background in statistics and data analysis including techniques for the quality control of NGS data and the proper handling of missing data. Specific responsibilities include:Develop and apply analytical approaches for large, complex genomic data sets in conjunction with clinical, phenotypic, and multi-omics data Work with a team of UI designers to develop visualizations that allow domain scientists to quickly and accurately interpret complex analysis results Work with a team of product managers to identify product features that will maximize the scientific utility of the DNAnexus Apollo. Analyze real-world datasets to to understand the underlying data models and research goals Qualifications / Experience M.S. in bioinformatics, computational biology, computer science or related biotechnology field; Ph.D. and interdisciplinary exposure preferred 3+ years of experience in bioinformatics, biostatistics, genomics, statistical genetics, population genetics, systems biology, and/or translational research in either academic or industry settings Direct experience in clinical diagnostics, therapeutics, or biomarker discovery and development is a strong plus Ability to develop reusable, well-tested software in Python and bash Ability to write documentation that accurately and meaningfully captures designs and implementation details Ability to work well within a distributed team of developers, peer review code, and own components of our platform Ability to work in an agile environment with strong automated testing practices Desired knowledge and skills Deep understanding of existing techniques for managing and analyzing genomic, clinical/phenotypic, pharmacokinetic, and other molecular data (transcriptomic, metabolomic, proteomic, microbiome), and the challenges in aggregating datasets for reuse in follow on studies An understanding of human genetics and the effects on human diseases, e.g. oncology, immunology, cardiovascular Strong computational ability and knowledge of programming languages used for data analysis such as Python, R, Julia, etc. Familiarity with software development and project management processes and tools (agile, JIRA, wiki, etc.) Experience with big data analytics technologies including Spark, Hive, and Hadoop, and an understanding of relational database concepts Experience working with GWAS and other population genomics/PheWAS toolsets, e.g. PLINK, Hail, ADAM Experience working with large-scale omics datasets, e.g. ENCODE, 1000 Genomes, ExAC/gnomAD, TCGA Familiarity with integrated tools such as GDC DAVE, cBioPortal, i2b2 tranSMART, Spotfire, UCSC Genome Browser, and Ingenuity Pathway Analysis Strong organizational skills and excellent written and oral communication skills Entrepreneurial “can do” attitude with the ability to find creative, pragmatic solutions Based in San Francisco and Mountain View, California, DNAnexus is experiencing rapid growth and is searching for the best talent to join our team. Key investors include Google Ventures, TPG Biotech, Foresite Capital, and Wuxi NextCODE. If you are interested in joining our team, please apply today!" Data Scientist,"San Diego, CA",Northrop Grumman,"At Northrop Grumman we develop cutting-edge technology that preserves freedom and advances human discovery. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We continue to innovate with developments from launching the first commercial flight to space, to discovering the early beginnings of the universe. Our employees are not only part of history, they're making history. The Engineering & Sciences (E&S) organization pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered with providing the skills, innovative technologies to develop, design, produce and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. Come be a part of our mission! The Data/Systems Engineer plays a dual role of analyzing and modeling data, as well as managing and developing systems. The candidate applying for this position should be able to work across disciplines and organizations; identifying requirements, implementing good data governance principles, and producing logical data models. The qualified applicant will be expected to work directly with internal customers to develop strategies to meet their specific needs, while at the same time developing a common core approach to extend solutions to other disciplines and organizations. Responsibilities: Support the Infrastructure team's mission of continuous improvement through data driven processes and tools. Work with customers to define requirements for systems and metrics Perform Data Analysis of data vaults to find commonality and develop logical models Convert requirements into actions and models Identify critical problems and the steps required to resolve them Provide cost and data analysis and guidance to high level requirements for project teamsQualifications:Basic Qualifications: Bachelor's in Statistics, Engineering or related field and a minimum of 2 years of related experience Experience in Data management, Data Engineering, or Data Science Experience with R or similar statistical languages 1-2 years of experience using SQL to query databases (Oracle, SQL Server) Preferred Qualifications: 1-2 years of experience with web development: HTML, CSS and JavaScript Background in development and production of electronic and RF components, or a degree in a related field Experience with Business Objects, Tableau, or other charting tools Experience with shop floor systems Experience with the Software Development lifecycle, and both Agile and Waterfall projects Experience with electrical and mechanical data management systemsData analytics and visualization, statistics Database query experience Experience with Excel Macros What We Can Offer You: Northrop Grumman provides a comprehensive benefits package and a work environment that encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan Savings Plan Paid Time Off Education Assistance Training and Development Flexible Work Arrangements https://benefits.northropgrumman.com/us/en2/BenefitsOverview/Pages/default.aspx Additional Northrop Grumman Information: Northrop Grumman has approximately 85,000 employees in all 50 states and in more than 25 countries, we strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs and services in the world. Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO/AA and Pay Transparency statement, please visit www.northropgrumman.com/EEO. U.S. Citizenship is required for most positions." Data Scientist,"Columbus, OH",Sky Consulting Inc,"5+ years of Data Science experience required Proficiency in Python or R and in writing complex SQL queries Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets. Ability to implement ML best practices for the entire Data Science lifecycle Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, and more) Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management Experience with data visualization tools - Tableau, R Shiny etc preferred" 2020 Summer Intern - Data Scientist/Data Analytics (.com Calif Temp Mgmt),"Sunnyvale, CA 94086 (West Murphy area)",Walmart,"Position Summary... What you'll do... What you'll do At Walmart eCommerce, we are a highly motivated group of Big Data Geeks, Data Scientists, Applications Engineers and Product Managers working in a small agile group to solve the sophisticated problem of fraud detection. We are building smart data systems that ingest, analyze massive flow of data and build predictive machine learning models. The data scientists also own the implementation of the algorithms in production giving ownership from end to end. We build compelling data visualizations and interactive dashboards to showcase our work internally and externally. Data Interns work on project teams that are responsible for analyzing large data sets to develop custom models and algorithms to drive business solutions. In past years, interns have had the opportunity to work on projects involving researching new trends in the industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support their assigned project. Your Intern Program Experience The Walmart Summer Intern Program immerses you in business, allows you to develop cutting edge technology, and shows off your social skills, all in between a lot of fun! Over the 10-week period you will have an opportunity to connect with executives, learn advanced skills, participate in networking and social events. Whether you are playing in the Intern ""Chili Cook Off"" or going to a Giants game, there is always something going on. With the San Francisco Bay Area and Silicon Valley as your playground the opportunities both inside and outside of work are endless! Walmart interns are tasked with solving a real business need, and projects have the potential to make an immediate impact on the world's largest retailer. Internships are paid, and include 2 days of PTO and housing for eligible students. Whether you're looking to be a data intern for Walmart Labs, Walmart International, Sam's Club, Global Business Services or another tech organization at Walmart, this is the right place for you to apply. About YouA visionary technologist with a passion for learning new technologies and translating data into business solutions.Demonstrated analytical and quantitative skills with the ability to build innovative complex models to illustrate various scenarios and compare KPIsCapacity to communicate complex concepts in easy-to-understand terminologyWorks effectively both independently and as a member of a cross functional teamStrong follow-through skills and acute attention to detailPassionate about user experienceA keen analytical mind with high levels of creativity and quick solving capabilities to change the world in a huge way! Educational RequirementCurrently enrolled and pursuing a Bachelors, Masters or PhD in Data Analytics, Computer Science, Statistics, Econometrics, Electrical Engineering, Operations Research, Computational Mathematics or a related fieldGraduating between December 2020 and August 2021 Preferred QualificationsExperience with statistical analysis, data mining, financial analysis, and quantity modeling.Experience in MS-Excel, MS-Access, VBA, SQL, Tableau, Mongo DBProficient in MS-PowerPoint and comfortable building presentations to tell a clear story Justification: evergreen req for data intern candidates for summer 2020 internships in California Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications." Data Scientist,"Long Island City, NY 11101",JetBlue Airways Corporation,"Data Scientist Position Summary The Data Scientist applies machine learning and statistical techniques to help solve JetBlue’s most complex commercial and operational challenges. The Data Scientist will be responsible for exploring and creating compelling visualizations of new datasets, identify key features and engineer new ones to be used in modeling, and discover the modeling approaches that deliver the best results based on appropriate evaluation metrics. The Data Scientist reports to the Manager, Data Science. Essential Responsibilities Collaborate with teams across the business to translate their needs or challenges into machine learning or statistical problems Support the development of data products through exploratory data analysis, feature engineering and model building Effectively communicate experiments, models and analytics outputs with partners Other duties as assigned Minimum Experience and Qualifications Bachelor’s Degree in computer science or a quantitative discipline One (1) year of relevant industry experience Proficiency in Python, SQL, git and common data science and machine learning libraries Experience building machine learning models Able to write production quality code and be familiar with software engineering best practices, including testing and version control Ability to communicate their findings to both technical and non-technical audience Must pass a ten (10) year background check and pre-employment drug test Must be legally eligible to work in the country in which the position is located Preferred Experience and Qualifications Advanced degree in computer science or a quantitative discipline Three (3) years of relevant industry experience Experience applying various data science techniques such as: Forecasting, Recommendation Systems, A/B Testing, Logistics Optimization, Churn Analysis, Segmentation Analysis, and Deep Learning Experience using Databricks, PySpark / Spark, Snowflake, dbt, Azure Cloud Crewmember Expectations: Regular attendance and punctuality Potential need to work flexible hours and be available to respond on short-notice Well-groomed and able to maintain a professional appearance When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft Must be an appropriate organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion and Fun Promote JetBlue’s #1 value of safety as a Safety Ambassador, supporting JetBlue’s Safety Management System (SMS) components, Safety Policy and behavioral standards Identify safety and/or security concerns, issues, incidents or hazards that should be reported and report them whenever possible and by any means necessary including JetBlue’s confidential reporting systems (Aviation Safety Action Program (ASAP) or Safety Action Report (SAR))Equipment: Computer and other office equipment Work Environment: Normal Office Environment Physical Effort: Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)" Sr. Data Scientist,"Orlando, FL",SharedLabs,"Job SummaryTitle: Sr Data ScientistLocation: Orlando, FLMAJOR RESPONSIBILITIES3-5 years’ experience doing data science, working with large volumes of data preferably in an enterprise wide-environmentCandidates should display an extreme curiosity about data, and be a problem solver with a strong desire to learn new data science methodsStrong working knowledge of coding and statistical analysis, advanced proficiency in “R” or “Python” programming languagesMasters’ degree is preferredJob Types: Full-time, ContractExperience:Data Scientist: 6 years (Required)“R” or “Python”: 3 years (Required)" Data Scientist - International Safety,"Mountain View, CA 94043",DiDi Labs,"We are looking for a creative and talented individual who has passion to solve the safety challenges. You'll partner across the company to drive our efforts in building DiDi into the safest and most trusted ride-sharing service in the world. As part of an exciting pre-IPO company with tremendous professional growth potentials, we are open minded and mission driven, looking for you to join us on this great journey and beyond! Responsibilities Collaborate with product managers, engineers, finance, and operation team to understand current situation and help key decision making Communicate key results to key stakeholders and company leadership Define metrics for different products, including driver & passenger app, safety, payments. Develop analytical frameworks to monitor business and product performance Qualifications 3+ years of industry experience in a data science or analytics role B.S. or M.S. Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering SQL is a must. Python is a plus Strong experience or interest in ride sharing product Strong verbal and written communication skills, and ability to collaborate with cross-functional partners/teams Preferred Qualifications Experience with building machine learning systems. Have data science skills and experience with building machine learning models. Experience working in a product and/or business-driven environment. About the company: DiDi Chuxing (""DiDi"") is the world's leading mobile transportation platform. The company offers a full range of app-based transportation options for 550 million users, including Taxi, Express, Premier, Luxe, Bus, Minibus, Designated Driving, Enterprise Solutions, Bike Sharing, E-bike Sharing, Car Sharing, and food delivery. Daily rides have reached 30 million, allowing more than 31 million drivers on the DiDi platform to find flexible work and economic opportunities. In 2017 we opened DiDi Labs, our first overseas research center, in Mountain View, California to not only be on the forefront of the most cutting-edge research and development in AI-based security and intelligent driving technologies, but also serve as the headquarters of DiDi's international expansion. DiDi Labs offers the visibility and flexibility of a startup, with the stability of a mature company. We welcome people from all backgrounds who have the skills, passion and drive to join us in transforming the global transportation industry." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Richardson, TX 75080",Verveba Analytics,"Job Description We are looking for a Data Scientist with a will for experimentation and exploring various data sets. Responsible for design and implementation of large-scale data sets using data mining, modeling and research techniques. Perform data studies and data discovery for new data sources or new uses for existing data sources. Perform statistical analyses with existing data sets in statistical packages such as SAS, SPSS, R or Weka. Experience:3 + yrs Experience with data mining techniques and practices (filtering, classification) and analytics functions (over, median, rank).2+ yrs Experience with presenting outcomes of Analytic Models and Iterations in a format easily understood by business.3+ yrs Experience with statistical modeling and simulation tools like R, SAS and SPSS.2+ yrs Familiar with machine learning frameworks like Mahout and data mining algorithms like Bayesian and Clustering.Familiar with Cloudera or HortonWorks Platform.Familiar with Hadoop tools/languages such as Python, Pig, Hive, Hadoop Streaming, Sqoop, Oozie, etc.Experience working with very large data sets, grouping together data and visualizing results.Prefer experience with some Java / python / simple map-reduce jobs development. Education: Bachelors of Science in Information Systems Technology, Computer Science or Engineering preferred." "Research Scientist, Data Science Human Subject Studies","Boston, MA",Aptiv,"Aptiv Autonomous Mobility At Aptiv, we believe that our mobility solutions have the power to change the world. Our Autonomous Mobility team is focused on developing and commercializing self-driving cars and systems that enable point-to-point mobility in challenging urban driving environments. With talented teams working across the globe in Boston, Pittsburgh, Las Vegas, Santa Monica, and Singapore, Aptiv is the first company to deploy commercial robotaxis to the public. Today, Aptiv has provided over 80,000 autonomous rides to members of the public passengers in Las Vegas — the world's largest public deployment of self-driving vehicles. In September 2019, Aptiv announced a 50/50 joint venture with Hyundai Motor Group, bringing together HMG and Aptiv’s advanced engineering and R&D capabilities, our global footprint, and shared commitment to advancing autonomous driving technology. Come work with leading engineers, research scientists, marketers and business development experts, all while enabling the future of mobility! For more information, please visit www.aptiv.com/our-journey and see www.aptiv.com/careers for opportunities. About this position The Rulebooks team is working to implement a comprehensive framework to specify the desired AV behavior into our engineering efforts (see https://arxiv.org/abs/1902.09355). We are seeking a highly talented Research Scientist, Data Science to research, design, and implement measurement and conategies for rider comfort and experience. The ideal candidate will be an innovative problem solver – someone who enjoys designing and implementing studies to answer challenging questions. What you'll do: Develop quantitative metrics to assess passenger experience and ride comfort in trials Design and implement human subject studies to measure ride comfort experience Coordinate data collection efforts from human passengers, human-driven vehicles, and autonomous vehicles Assist in translating learnings into control strategies within the Rulebooks framework Engage internal and external partners to conduct studies and use the findings to improve our autonomous vehicle systems What you'll bring: Graduate degree in Statistics, Data Science, Psychology, Control Theory, Engineering or a related field Experience conducting, designing, and/or analyzing human subject studies Deep knowledge of statistical and data science methods Ability to effectively communicate and coordinate research across multi disciplinary teams Great attention to detail and ability to work independently A collaborative work attitude and commitment to high quality work products Bonus points for having experience with Familiarity with the autonomous vehicle industry Experience with vehicle control systems Hands-on experience with machine learning methods Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law." Data Scientist,"New York, NY",Advan Research Corporation,"Responsibilities: The individual with work with the CTO team to enhance our existing geolocation products along with new complementary datasets. They would be instrumental on the design of new offerings and combining the various existing datasets in one concrete product. The main focus would be on applying statistical modeling to various structured and unstructured geolocation data for verifying the quality and integrity of the data, cleansing the data and extracting trading signals along with using them to calibrate existing forecasting models. It would be also required to write research reports describing our data and its applications. Part of the role will entail interaction with the business development team on client driven projects. The individual should demonstrate strong ability to work on a fast paced environment, proven record of working with innovative product teams and be ambitious to participate in shaping the direction of the newly formed geolocation data industry. Competitive compensation package, including salary and bonus, along with equity participation. Requirements: Minimum 3 years relevant professional experience Quantitative degree, preferably Ph.D. or Master's Deep knowledge of statistical modeling using large datasets along with algebraic and multivariate calculus expertise Experience with R, Python and SQL" Data Scientist,"Kansas City, MO",Able Infotek,"Title : Data ScientistEmployment Type: ContractDuration : Long TermLocation : Kansas City, MOJob Summary**Client is seeking a Chief Data Scientist to lead & execute vital data science projects across the organization. This position exists to conduct research and development that will lead to business solutions, improving revenues and increase efficiencies in a variety of departments. The Chief Data Scientist will accomplices this using a variety of modern methodologies ranging from statistical analysis to machine learning. This positions goal is to extract insight and create value from all the data which a modern business creates. This position will also lead the data science team, manage and execute projects, and mentor junior data scientists.**Key ResponsibilitiesBuild machine learning models to solve business problemsvisualize and communicate data insights to business leadersQuery and extract from business systemsDevelop productionized data science analytics productsDesign research methods and experimental design**Knowledge, Skills and Abilities12+ years experience with either R, Python, SAS, or Stata.12+ years in-depth experience in SQL as well as a general knowledge of database and data warehousing theory.10+ years experience in developing Machine Learning models to solve business problems such as Boosting Machines, SVM, neural Networks and Decision Forests.10+ years experience in a broad range of statistical techniques ranging from basic hypothesis testing to eco centric and time series problems.Deep knowledge of research methods, including proper research design ranging from randomized control experiments to pseudo-experimental methods.Masters degree in a quantitative field.Job Type: Contract" Data Scientist,"Littleton, CO 80120",DISH,"Summary DISH is a Fortune 250 company with more than $13 billion in annual revenue that continues to redefine the communications industry. Our legacy is innovation and a willingness to challenge the status quo, including reinventing ourselves. We disrupted the pay-TV industry in the mid-90s with the launch of the DISH satellite TV service, taking on some of the largest U.S. corporations in the process, and grew to be the fourth-largest pay-TV provider. We are doing it again with the first live, internet-delivered TV service – Sling TV – that bucks traditional pay-TV norms and gives consumers a truly new way to access and watch television. Now we have our sights set on upending the wireless industry and unseating the entrenched incumbent carriers. We are driven by curiosity, pride, adventure, and a desire to win – it's in our DNA. We're looking for people with boundless energy, intelligence, and an overwhelming need to achieve to join our team as we embark on the next chapter of our story. Opportunity is here. We are DISH. Job Duties and Responsibilities DISH currently has an opportunity for a strongly motivated Data Scientist on the Performance Optimization team. The Performance Optimization team is an important part of the larger Strategic Planning and Shared Services team, which serves as the liaison between Customer Experience Operations (CXO) and different departments at the corporate office. A detail-oriented individual with a strong analytical/machine learning background, and the ability to handle changing and competing priorities, will fill this position. The ability to connect data to real world problems and solutions will be the key to being successful in this role. Primary responsibilities fall into the following categories: Identify outliers and root causes of problems and develop plans for improvement Use Machine Learning to predict business needs and how to address them. Use conclusions to partner with other departments within the company on process improvement Perform ad hoc analysis for a wide variety of departments and projects Monitor, analyze, and report on customer initiatives and issues Build automated daily, weekly, and monthly reports for a variety of groups and individuals Skills - Experience and Requirements A successful Data Scientist will have the following: At least a BS in a quantitative field such as statistics, data science, or business analytics (MS or MBA is preferred) Experience with big data platforms (e.g. AWS, Athena, Hive) Experience with creating extracts and visualizations in Tableau. Experience with programming languages used for data analytics (e.g. SageMaker, Python, R) Excellent written and verbal communication skills with the ability to write reports and procedure documents related to training Experience with various algorithms and models of machine learning Capacity to deliver a technical message to a non-technical audience Excellent quantitative and analytical abilities, with proficiency in mathematical concepts and ability to define problems, seek and collect data, establish facts, and draw valid conclusions Experience in the wireless industry a plus #LI-JP1" Statistician I,"Los Angeles, CA",USC,"The Office of Institutional Research is seeking a Statistician I position to develop quantitative/analytic models, and perform data analysis at the request of academic stakeholders. This position will perform data collection, data management, and conduct statistical analyses responding to data requests from the Office of the Provost, and academic departments within the university. The Statistician I participates in planning, design and development of complex research protocols, and reports for publication. This position oversees maintenance of computer software and hardware, writes computer programs as needed, and supervises data entry/programming staff. This position recommends and implements procedures related to data collection, management, and quality control. The Statistician I develops input methodology, and data file structure in response to the unique needs of our academic units and administrative operations. This role will oversee data-collection efforts and maintenance of data files, including backups and hard copies. Schedules, assigns and prioritizes workloads for the Office of Institutional Research. Sets appropriate deadlines, and ensures timely completion of all research, standard and customized reports. Performs data analysis using statistical tools including TABLEAU, SPSS, and R. Reviews results for anomalies, investigates to determine cause and ensures accuracy of all data. Assists in interpretation of results, and prepares tables or graphs for inclusion in reports and special customized databases. The Statistician I is responsible for the development of quantitative and statistical models to support business initiatives for the Office of the Provost, Admission and Planning, and all academic departments. Installs, tests, modifies and maintains computer programs for statistical analysis as needed. The Office of Institutional Research reports to the Office of Admissions and Planning. Other duties will include: Managing course evaluation and survey administration activities Extract data, run analysis and publish information Editing, fact-checking, and compiling ad hoc reports Supervising part-time research analysts Developing better reporting and extracting systems Build, deploy and scale programs in PYTHON Perform quantitative data analysis using a variety of statistical applications Perform logical batched and non-batched statistical analysis using SPSS Run customized SQL queries Please submit a cover letter and resume as part of your application. Minimum Education: -Master's degree -Combined experience/education as substitute for minimum education Minimum Experience: -2 years -Combined education/experience as substitute for minimum experience Minimum Field of Expertise: -Biometry, Biostatistics or Statistics; mainframe computer and PC experience; experience with SAS, Epilog, BMDP, GLIM or SPSS Preferred Experience: -Three years -Significant experience conducting web-based surveys and course evaluation activities; proven expertise using TABLEAU, Python and R language programming" Senior Data Scientist - Nationwide Opportunities,"Santa Monica, CA","Amazon Web Services, Inc.","· · Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experienceExperience with ML fields, e.g., natural language processing, computer vision, statistical learning theory6+ years of industry experience in predictive modeling, data science, and analysisExperience in an ML engineer or data scientist role building ML modelsExperience writing code in Python, R, Scala, Java, C++ with documentation for reproducibilityExperience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop modelsExperience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI) and Machine Learning (ML)? Excited by using massive amounts of disparate data to develop ML models? Eager to learn to apply ML to a diverse array of enterprise use cases? Thrilled to be a part of Amazon who has been pioneering and shaping the world’s AI/ML technology for decades? At Amazon Web Services (AWS), we are helping large enterprises build ML models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions. AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. This is a customer-facing role and you will be required to travel to client locations and deliver professional services as needed. Major responsibilities include:Assist customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organizationUse AWS AI services (e.g., Personalize), ML platforms (SageMaker), and frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to help our customers build ML modelsResearch and implement novel ML approaches, including hardware optimizations on platforms such as AWS InferentiaWork with our other Professional Services consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our Professional Services engineers to operationalize customers’ models after they are prototyped · · Mater’s degree of PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships.Publications or presentations in recognized ML journals or conferencesDeep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organizationDemonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records." Strategic Investments Data Scientist,"Chicago, IL",GCM Grosvenor Open Positions,"SUMMARY GCM Grosvenor is seeking a Data Scientist to join its Strategic Investments Group (SIG) team. The SIG team is a multi-strategy investment group within GCM Grosvenor that invests across asset classes, security types, industries and regions and maintains the flexibility to implement investments both directly and alongside third-party partners. Today the group manages an evergreen, opportunistic fund and two multi-asset class draw down funds, together totaling +$2.3B billion in AUM. In addition to ideas sourced within the team, GCM Grosvenor's global network presents unique, proprietary opportunities for investment. The Data Scientist will be involved in analytic projects to aid the investment process across hedge fund and private equity style investing. The Data Scientist will be collaborating with various teams within the firm including Research, Risk and Technology. RESPONSIBILITIES The individual will be involved in the following critical activities: Assess new investment strategies and monitor current conditions within existing strategies utilized by the firm. Track, analyze, and interpret trends in specific strategies and the related capital markets. Develop and utilize quantitative risk analytics and models for manager assessment and fund management using a test driven development methodology. Contribute to the development and maintenance of the quantitative technology platform. Design, develop and produce intuitive and responsive data visualization reports and dashboards. Investigate portfolios and strategies to develop data-driven, in-depth comprehension of investment processes, risk profiles, portfolio construction, and investor behavior. Identify and manage new datasets that support investment decisions and risk management processes. Collaborate on projects with investment team members aimed at generating new insight and solutions to improve investment strategy. Perform related duties as assigned. EDUCATION, SKILLS AND EXPERIENCE REQUIREMENTS The ideal experience and critical competencies for the role include the following: Bachelor's Degree in Computer Science, Mathematics, Physics or equivalent degree, with coursework in Finance, Economics, Mathematics and a superior grade point average. 1 – 4 years of experience with Object Oriented Programming with preferred languages: C#, C++, Python and Java. Experience with quantitative and other machine learning languages (Matlab, R, or similar preferred) experience is a strong plus. Prior experience in financial services and/or investment management is required. Familiarity with automated testing frameworks, such as NUnit, JUnit, WatiN and/or Selenium, preferred but not required. Exposure to full testing lifecycle management and SDLC; specifically Agile SDLC processes, preferred but not required. Interest in or knowledge of the financial markets and investment industry. Ability to accurately enter and validate data into various systems on a timely basis. Demonstrated initiative and ability to work in a fast paced, changing environment. A commitment to the highest ethical standards and to act with professionalism and integrity. Excellent written and verbal skills; specifically, the ability to articulate clearly and communicate effectively with professionals across the firm. Dedicated work ethic and commitment to a team and a goal-oriented environment. In terms of cultural fit, the successful candidate will be self-motivated and energized by working amongst a group of thoughtful, smart and successful colleagues. He or she will enjoy being part of an organization focused on excellence and will be a naturally collaborative person who enjoys interacting with individuals at all levels. Additionally, he or she will be a strong team player with a proactive approach and the ability to exercise discretion and judgment." Data Scientist,"Pleasanton, CA",Infostretch Corporation,"Job Description Infostretch is looking for a Data Scientist with minimum 7+ years of experience in Modeling.The resource works as a member of a research engineering team responsible for researching, evaluating, and piloting information technology innovations in specific application areas focused on cutting edge technology for yield optimization, inventory management and user-behavior predictive analytics for the interactive media properties.Job Responsibilities Develop and maintain the business monetization systems including yield management, purchased traffic optimization, and network inventory and profit optimization. Develop creative ideas and then utilize the innovation framework processes, tools, and metrics to evaluate those ideas, promote ideas into potential products, develop detailed functional and algorithmic specifications for media systems into production lev Aid developers in implementing new products. Maintain an awareness of company strategies and tactical plans Stay abreast of industry and technology trends to form a basis for potential innovations. Required Qualifications 5 years in modeling or related activities Knowledge of current systems architectures and infrastructures, and potential integration points Minimum of 7 years’ experience in software development life cycle methodologies, including Agile/SCRUM Minimum of 5+ years’ experience in algorithm design, combinatorial and numerical optimization Minimum of 3 years’ experience in statistics and machine learning skills Knowledge of evolving business strategies, industry trends, and innovations Minimum 1 year RDBMS/SQL experience Matlab, Java, R, and Python programming experience RDBMS/SQL experience Experience in designing and developing high-performance, reliable, mission-critical systems Experience with AWS is a plus Master's Degree in CS or Related filed required, Doctorate strongly preferred Additional Knowledge, Skills, and Abilities Experience in designing and developing high-performance, reliable systems" Sr. Data Scientist II,"New York, NY 10012 (NoHo area)",Argo Group,"Data Scientist Before the dawn of everything internet, insurance was intimate and personal. You walked down the street to chat with your broker, and the risk to your business, your livelihood, was covered with a handshake. Today things are different. The average insurance policy for a mom-and-pop store trades through a dozen different hands and traverses a maze of systems and processes. Few are accountable and fewer know the whole story. Some of the problems you will solve entail understanding data, identifying patterns, quantifying the impact of ML / NLP models and designing data visualizations. We seek a data scientist to help drive a new digital AI product team on a mission to unlock the potential of data and identify new opportunities. As one of the founding members of a small, multi-disciplinary team of technologists, designers and product managers, you’ll have the freedom to make key product decisions without much oversight, and the tools and resources to build and ship ideas quickly. You’ll be a part of a startup-like environment, with the opportunity to have more control and leadership; in a company with thousands of existing customers. Who you are You want to use your statistical, scientific, and engineering training to craft and deploy models to transform one of the most entrenched industries. You paint with plots and your models don’t keep secrets. Image recognition is no longer an innovation to you, instead it is a routine task. NLP isn’t a foreign acronym and you’ve gone from strings to whiskers. You sail smooth in Python and always have sklearn, tensorflow, keras and pytorch on deck. K-means more than a curt text and Logit and Probit are not Hobbit characters. You have experience with relational databases such as PostgreSQL, Oracle or SQL Server, and maybe even Hadoop, Hive, Spark or Redshift. You strive to learn the newest and greatest techniques where BERT/ELMo are not just Sesame Street© characters. What you’ll own The foundation for advanced analytics at a global company. The roadmap of projects you’ll work on that tie directly to business goals and objectives. Manage the entire lifecycle of data projects from strategic planning to tactical activities (data collection, cleanup, analysis, model implementation). Sourcing new data for a firm that rarely scrapes, pulls or pushes. Facilitate communication throughout the development process between executive stakeholders, your users and technical teams. Coordinate and build strong working relations with various internal stakeholder groups, including IT, engineering, and legal. Minimum Qualifications Degree in computer science, engineering, mathematics, statistics, data science or a related technical field, or equivalent practical experience. 3 years of work experience in data science or related field. Experience with statistical modeling using R, Python, or similar statistical languages. In depth knowledge of advanced models such as generalized linear models, penalized regression models, tree based models and neural networks Proven track record building business-practical models and implementing them into production. Familiarity with Pandas, Numpy, Scikit-learn, Keras, Tensorflow, Pytorch Experience with data architecture and management (PostgreSQL, Hadoop, Oracle, Hive, Spark, Redshift and/or SQL Server) Apply on https://argogroup.wd1.myworkdayjobs.com/Argo PLEASE NOTE: At this time, Argo Group will not sponsor an applicant for employment authorization for this position. To all recruitment agencies: Unless you have been requested to work on this position, or other positions with Argo Group, please do not forward any resumes to Argo Group employees. Argo Group is not responsible for any fees related to unsolicited resumes.We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by federal, state and/or local laws. Applicants: If manually entering, only include your most recent or relevant job information needed for this role. For either method, please attach your most current resume. Additional job history may be obtained if selected for the interview process." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Data Scientist,"Littleton, CO 80120",DISH,"Summary DISH is a Fortune 250 company with more than $13 billion in annual revenue that continues to redefine the communications industry. Our legacy is innovation and a willingness to challenge the status quo, including reinventing ourselves. We disrupted the pay-TV industry in the mid-90s with the launch of the DISH satellite TV service, taking on some of the largest U.S. corporations in the process, and grew to be the fourth-largest pay-TV provider. We are doing it again with the first live, internet-delivered TV service – Sling TV – that bucks traditional pay-TV norms and gives consumers a truly new way to access and watch television. Now we have our sights set on upending the wireless industry and unseating the entrenched incumbent carriers. We are driven by curiosity, pride, adventure, and a desire to win – it's in our DNA. We're looking for people with boundless energy, intelligence, and an overwhelming need to achieve to join our team as we embark on the next chapter of our story. Opportunity is here. We are DISH. Job Duties and Responsibilities DISH currently has an opportunity for a strongly motivated Data Scientist on the Performance Optimization team. The Performance Optimization team is an important part of the larger Strategic Planning and Shared Services team, which serves as the liaison between Customer Experience Operations (CXO) and different departments at the corporate office. A detail-oriented individual with a strong analytical/machine learning background, and the ability to handle changing and competing priorities, will fill this position. The ability to connect data to real world problems and solutions will be the key to being successful in this role. Primary responsibilities fall into the following categories: Identify outliers and root causes of problems and develop plans for improvement Use Machine Learning to predict business needs and how to address them. Use conclusions to partner with other departments within the company on process improvement Perform ad hoc analysis for a wide variety of departments and projects Monitor, analyze, and report on customer initiatives and issues Build automated daily, weekly, and monthly reports for a variety of groups and individuals Skills - Experience and Requirements A successful Data Scientist will have the following: At least a BS in a quantitative field such as statistics, data science, or business analytics (MS or MBA is preferred) Experience with big data platforms (e.g. AWS, Athena, Hive) Experience with creating extracts and visualizations in Tableau. Experience with programming languages used for data analytics (e.g. SageMaker, Python, R) Excellent written and verbal communication skills with the ability to write reports and procedure documents related to training Experience with various algorithms and models of machine learning Capacity to deliver a technical message to a non-technical audience Excellent quantitative and analytical abilities, with proficiency in mathematical concepts and ability to define problems, seek and collect data, establish facts, and draw valid conclusions Experience in the wireless industry a plus #LI-JP1" Data Science - New College Graduate,"Palo Alto, CA 94301 (University South area)",Wealthfront,"The data science team creates data products to deliver optimized and personalized financial advice, develops best in class investment algorithms, and analyzes our rich financial and behavioral data to make key business decisions. The team draws from a variety of backgrounds in Computer Science & Engineering, Statistics, Economics, Math, Operations Research, and Financial Engineering. We derive strength from this diversity and are constantly learning and teaching each other in a down-to-earth, fun-loving environment. We are neither too big where you would be just another cog in the system, nor are we too small that none of our efforts can be realized. You will be challenged with meaningful and substantial technical problems which will help you learn and grow. Wealthfront is the leader in the vision to deliver financial optimization and automation to everyone. Join our passionate and innovative team with your fresh ideas and initiative to deliver on this great vision. What you'll do Work closely with cross-functional teams of product managers and engineers, translating open-ended business issues into data questions, identifying practical approaches including A/B testing to answer them, and carrying out timely and well-documented analyses that influence our product and company strategy. Design and develop data products to assist consumers with decisions around investments, financial planning, and advice. Understand and communicate a data-driven picture of our clients, product and business (and their interaction) to the company Continuously look for, and execute upon, opportunities to improve the quality of our data, infrastructure and products Understand and communicate a holistic picture of the business to the company Promote the automation of repetitive tasks and the creation of tools over ad hoc analyses, making your insights available to anyone that can benefit from them What we're looking for You subscribe to Wealthfront’s values and mission and can articulate the reasons why, and have an understanding of our product, business model and key metrics. Ability to access, transform, visualize, and model datasets with minimal engineering support, and communicate your results clearly, both verbally and in writing Strong foundation in probability and statistics. Familiarity with basic machine learning models and techniques. You enjoy mentoring others on subjects such as causal inference, experimental design, data visualization or behavioral psychology Programming competency in R or Python BS, MS, or PhD in computer science, mathematics, statistics, economics or related field Everyone across the financial spectrum deserves to live secure and rewarding lives. In order to successfully serve clients across the United States, the Wealthfront team is focused on hiring team members with a diverse range of backgrounds, experiences and perspectives. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.About Wealthfront Wealthfront is a nextgen banking service. We help you manage your money for both your short-term and long-term goals by providing a cash account with a top-of-market APY, best-in-class automated investment management, and free financial advice, anytime you want it. We entered into the banking space in a big way this past year with the launch of our cash account that offers an interest rate 18x greater than the national average. We’ve been overwhelmed by the response and grew over 100% last year to manage over $23 billion in total client assets. Our ultimate vision is to optimize and automate all of our clients’ finances and build what we call Self-Driving Money™️. We want clients to be able to automatically deposit their paycheck into their Wealthfront account, and let us take care of the rest — paying their bills, topping off their emergency fund or 401(k), and investing the rest based on their specific goals and lifestyle. To get there, we’ll be focusing the bulk of our 2020 efforts on creating a better alternative to what the banking industry provides. Join us so you can help us turn this industry on its head and build a service that our clients don't just like, they love." Data Analyst\Scientist Intern,"Atlanta, GA",Cultura Technologies Inc,"The company where you can make an impact and bring value. Job Summary: Reporting to Solentra’s Engagement Managers, the Data Analyst/Scientist Intern will work with the Engagement teams to apply data analytics to both internal financial forecasting and our clients' requirements of data integration and extraction. The intern will have the opportunity to work directly with leadership to development Minimum Viable Products to present to our clients and assist with growing our businesses. Job Description: Learning Opportunities: Gain an understanding of Agile Software Development processes. Gain experience in… Creating training manuals and how-to guides for users Building interactive decision support tools Developing statistical models and algorithms Financial Forecasting Enterprise technology solutions PROJECT DETAILS/JOB RESPONSIBILITIES: Work with Engagement Managers to identify areas to improve data analytics processes Lead efforts to visualize customer data Demo solutions both internally and to Solentra clients Build Reports and Dashboards EDUCATION/EXPERIENCE REQUIREMENTS: Pursuing a Bachelor’s degree in Information Systems, Mathematics, Computer Science, Business, or a related field. Should have enough college credit to be identified as either Junior or Senior Tech-savvy Strong written and verbal communication skills with the ability to simplify technical jargon Self-Motivator with the willingness to grow in an implementation role Must be self-driven and have the willingness to learn and contribute to the team Not required, but good to have… Some technical abilities related to software is a plus Some accounting and business knowledge is a plus Previous experience in a similar internship or related course work is a plus Experience in the Agribusiness Industry Experience with a statistical software/programming such as R Worker Type: Student (Fixed Term) (Trainee) Number of Openings Available: 1" Data Scientist,"Pittsburgh, PA",American Eagle Outfitters,"AEO needs a passionate and dedicated Data Scientist to provide analytical and algorithmic support to improve customer engagement and loyalty. You will analyze large data sets and develop custom models that drive business solutions and operational efficiencies for programs such as Voice of the Customer, A/B Testing and other core business optimizations. You will assist this growing team in building cutting edge data science models that power our product and customer specific recommendation engines. Are you excited by the prospect of using your expertise to provide insights that will have a meaningful impact on complex customer and user experiences? Then we need you. RESPONSIBILITIES: Collaborate with technical and non-technical teams, like User Experience, Marketing, Creative, Merchants, and Engineering Work with data engineering teams to translate problems into solutions and to develop new features for data models Build algorithms and predictive models including regression, random forest, clustering, etc. Analyze large-scale data from multiple data sources, distill insights and communicate actionable results Learn, implement and own machine learning models for personalization and product recommendations Be passionate to learn, teach, and grow AEO’s data science practice QUALIFICATIONS: Bachelor’s Degree, Master’s preferred 3+ years experience in data science/analytics role 3+ years in a scripting language like Python 3+ years experience in SQL as well as transforming data into insights with visualization tools like Tableau or Plotly 3 – 5+ years experiences in building data models, preferably in building recommendation systems Experience working in cloud environment, like, AWS, Google Cloud, Azure Experience building predictive models, regression analysis, NLP, LDA, other machine learning algorithms Experience with Unix/Linux environment and version control Ecommerce or fashion apparel experience is a plus Ability to communicate complex analyses to end business users in a concise actionable way ABOUT US: Our people come first. We employ more than 30,000 associates throughout the world and we believe that a truly diverse workplace is the result of an inclusive culture. It’s about more than simply bringing together people who are different, it’s about celebrating what makes us REAL. We strive to be an employer of choice - a place where people are excited to come to work because they believe in what we do, enjoy working with each other, and have fun doing it. Learn more at www.AEO-Inc.com We celebrate the diversity of one through the inclusion of many. That’s what makes us REAL American Eagle Outfitters is an Equal Opportunity Employer" Data Scientist I,"Phoenix, AZ 85004 (Central City area)",Freeport McMoRan,"Freeport-McMoRan is a leading international mining company with headquarters in Phoenix, Arizona. We operate large, long-lived, geographically diverse assets with significant proven and probable reserves of copper, gold, and molybdenum. The company has a dynamic portfolio of operating, expansion and growth projects in the copper industry. Freeport-McMoRan is one of the world’s largest publicly traded copper producers, the world’s largest producer of molybdenum and a significant gold producer. We have a long and successful history of conducting our business in a safe, highly efficient and socially-responsible manner. We have the assets, the talent, the drive and the financial strength to provide attractive and rewarding careers of our employees. We encourage you to take the time to explore the opportunity to advance your career at Freeport-McMoRan. Description You will be an instrumental member of our vision for analytics-driven mining at Freeport. We have gathered vast data sets from across the mining ecosystem by deploying sensor technology and the data infrastructure to support it. Now, we are in a position to use the richest data pool in our history to solve complex and meaningful problems, so our team is growing and seeking bright individuals eager to be a part of the journey. Contribute to the deployment of ensemble machine learning methods, deep learning, and advanced optimization techniques to drill into our toughest challenges. Leverage sharp research skills to test hypotheses and draw insights to support our goal of industry-leading, resource-efficient copper mining. Utilize modern cloud technologies, such as Microsoft Azure, to deliver innovative analytics solutions at scale and visualize their impact for leadership. Actively support the build, implementation, and maintenance of practical, analytical assets that effectively solve business problems using statistical methodologies. Qualifications Minimum Qualifications Bachelor’s degree in a related field AND Five (5) years of relevant work experience OR Master’s degree in a related field AND three (3) years of relevant work experience OR Ph.D. in a related field and one (1) years of relevant work experience Preferred You are an analytics professional who enjoys grappling with vast data sets, tapped from our long-standing investment in collecting and cleaning data. You are a quantitative enthusiast who can build complex predictive models and unlock their value through Python, R, SQL and / or other rigorous analytical environments. You are a tested researcher with a background in breaking down problem statements into their root causes and tailoring solutions based off of your findings. Strong oral and written communication skills in English language Criteria/Conditions Ability to understand and apply verbal and written work and safety-related instructions and procedures given in English Ability to communicate in English with respect to job assignments, job procedures, and applicable safety standards Must be able to work in a potentially stressful environment Position is in busy, non-smoking office located in Phoenix, AZ Location requires mobility in an office environment; each floor is accessible by elevator and internal staircase Travel required up to 50% Occasionally work may be performed in a mine, outdoor or manufacturing plant setting Must be able to frequently sit, stand and walk Must be able to frequently lift and carry up to ten (10) pounds Personal protective equipment is required when performing work in a mine, outdoor, manufacturing or plant environment, including hard hat, hearing protection, safety glasses, safety footwear, and as needed, respirator, rubber steel-toe boots, protective clothing, gloves and any other protective equipment as required Freeport-McMoRan promotes a drug/alcohol free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing as per applicable State Laws Freeport-McMoRan has reviewed the jobs at its various office and operating sites and determined that many of these jobs require employees to perform essential job functions that pose a direct threat to the safety or health of the employees performing these tasks or others. Accordingly, the Company has designated the following positions as safety-sensitive: Site-based positions, or positions which require unescorted access to site-based operational areas, which are held by employees who are required to receive MSHA, OSHA, DOT, HAZWOPER and/or Hazard Recognition Training; or Positions which are held by employees who operate equipment, machinery or motor vehicles in furtherance of performing the essential functions of their job duties, including operating motor vehicles while on Company business or travel (for this purpose “motor vehicles” includes Company owned or leased motor vehicles and personal motor vehicles used by employees in furtherance of Company business or while on Company travel); or Positions which Freeport-McMoRan has designated as safety sensitive positions in the applicable job or position description and which upon further review continue to be designated as safety-sensitive based on an individualized assessment of the actual duties performed by a specifically identified employee. Equal Opportunity Employer/Protected Veteran/Disability" data scientist,United States,Qikspace,"Job Summary A talented data scientist with strong background in realtime big data solutions and contextual relevance frameworks. Responsibilities You will work as part of the core team and help us discover the information hidden in vast amounts of data, making smarter decisions and contextual relevance in order to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Qualifications Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable Great communication skills Experience with data visualisation tools, such as D3.js, GGplot, etc. Proficiency in using languages and query languages such as SQL, Python, C#, C++, R, Hive, Pig Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Realm Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills C#, Python, Java, Android Studio Data-oriented personality Education Requirements MS or PhD in Data Science or comparable field strongly preferred. However, overwhelming weight will be given to experience and prior accomplishments." Data Scientist,"New Haven, CT 06519 (Hill area)",Yale University,"Position Focus: Reporting to the Senior Program Manager of Analytics, Quality and Safety, this position will serve as a Clinical Data Analyst to support Clinical radiology programs and projects in the Department of Radiology & Biomedical Imaging. The analyst will build, manage and optimize reports and create presentations/materials/data for the Department Leadership. This role will function in a multidisciplinary team environment, and will prepare forecasts and analyze data trends, reports, spreadsheets, and other analytical tools as related for project needs. The ideal candidate will participate in all aspects of project coordination, implementation, and reporting of results related to a variety of data sharing and regulatory clinical research. This position is responsible for determining the most efficient and accurate use of data analytics, reporting, and imaging informatics. Working independently, and/or working as a team player, provide original thought and support from project inception to implementation. The analyst will develop and analyze metrics, performance measurements/requirements, department reports and recommendations related to management, organizational structure, policy/procedures and business systems. General responsibilities of the Clinical Data Analyst will be to manage existing and new data requests and complete all related tracking of data requests, new studies, communications, including routinely update data platforms and monitor for maintenance updates, and strategize/problem solve, and complete ad hoc inquires received. The Research Associate will also coordinate and lead regular meetings that include agenda preparation and meeting minute documentation and action-item follow up, manage timelines and research activities for each project, assist in the develop of procedures and protocols, and prepare written and oral reports and presentations. Additionally, this role will provide expertise and participate in the planning of materials and presentations for committee meetings. The ideal candidate must be able to successfully function in a multi-hospital, multi-disciplinary team environment where data will be tracked and measured across multiple delivery networks. Candidate must have excellent organizational skills to assist in developing workflow charts, timelines, tracking and follow up. The ideal candidate will be able to analyze data from different perspectives to identify relationships and provide meaningful data outcomes, and be able to perform independent statistical analysis and algorithms for projects. Candidate will play a pivotal role in operationalizing data captured across a range of software applications. This position will provide excellent customer service skills, will serve as a back-up for developing agendas, set up meetings with internal and external participants and vendors for in-person, teleconference, or video-conference meetings, taking meeting minutes, and following through on action items due for all projects. This position requires a high level of attention to detail, along with an absolute commitment to data quality and integrity. Essential Duties Develop and execute new and/or highly complex algorithms and statistical predictive models and determine analytical approaches and modeling techniques to evaluate potential future outcomes. Establish analytical rigor and statistical methods to analyze large amount of data, using advanced statistical techniques and mathematical analyses. Manage analytical projects from data exploration, model building, performance evaluation, through implementation. Develop work plans and monitor progress and project timelines. Document coding and changes to work plans using established work group methods in GitHub. Interact with a multidisciplinary team of internal and external peers to regularly, effectively, and openly communicate progress and outcomes of planned work. Attend weekly team meetings to discuss team and project-related activities, issues, change, communications, and updates. Required Education and Experience Master’s Degree in computer science, applied/computational mathematics, engineering, biostatistics, statistics, or a quantitative field such as astronomy or geology, and 2 years of hands-on experience in deep learning or an equivalent combination of education and experience. Required Skill/Ability 1: Well-developed verbal, written communication skills with the ability to communicate effectively and diplomatically in written and verbal forms with internal and external contacts, faculty, leadership staff and staff. Required Skill/Ability 2: Attention to detail with the ability to produce high quality work in a fast-paced team environment with minimal supervision, meet deadlines, and is receptive to feedback and direction. Required Skill/Ability 3: Self-starter who can work independently with ability to switch focus quickly in a multi-hospital, multi-disciplinary team environment. Required Skill/Ability 4: Proficient in in MS Office suite specifically MS Excel. Required Skill/Ability 5: Proven knowledge of programming languages, data visualization tools and design. Preferred Education, Experience and Skills: Advanced mathematics, Statistics, SQL, machine learning theory, artificial intelligence (AI), and programming skills related to healthcare experience. Weekend Hours Required? Occasional Evening Hours Required? Occasional Drug Screen No Health Screening No Background Check Requirements All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. Please visit www.yale.edu/hronline/careers/screening/faqs.html for additional information on the background check requirements and process. Posting Disclaimer The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the particular position. Employees will be assigned specific job-related duties through their hiring departments. Affirmative Action Statement: Yale University considers applicants for employment without regard to, and does not discriminate on the basis of, an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Yale discriminate on the basis of sexual orientation or gender identity or expression. Title IX of the Education Amendments of 1972 protects people from sex discrimination in educational programs and activities at institutions that receive federal financial assistance. Questions regarding Title IX may be referred to the University’s Title IX Coordinator, at TitleIX@yale.edu, or to the U.S. Department of Education, Office for Civil Rights, 8th Floor, Five Post Office Square, Boston MA 02109-3921. Telephone: 617.289.0111, Fax: 617.289.0150, TDD: 800.877.8339, or Email: ocr.boston@ed.gov. Note Yale University is a tobacco-free campus" Data Scientist,"Boston, MA",Aborn & Co.,"Position: Full time Location: Norwell, MA Aborn & Company is looking for a Data Scientist to join our Operations team to contribute to developing and expanding our institutional analytics capabilities. We expect the candidate to understand the analytical tools, models, and methodologies relevant for logistics-related data analysis. In this role, you will be responsible for developing internal reporting, preparing and analyzing transportation bids (domestic & international), identifying opportunities for client cost reduction through optimization, and driving growth and process improvements with our current TMS software provider. Data Science Role: Ability to analyze historical data and build predictive logistics pricing models Lead the Operations team in all things concerning data: carrier bids, transportation analysis projects, internal/external reporting Identify and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation Continually improve ongoing reporting and analysis processes with an eye towards automation Analyze theoretical client distribution models and assess customer and financial impacts Conduct in-depth investigations into business problems and identify potential opportunities Desired Background: Bachelor’s Degree in mathematics, computer science, statistics, engineering or a similar quantitative field or advanced degree preferred Minimum three (3) years of robust analytical experience (in-depth logistics analytics or corporate finance, for example) Proficiency in Python with focus on Pandas, R, and SQL (MySQL) Experience or demonstrated interest in Supply Chain & Logistics Advanced analytical and quantitative skills Experience developing, improving, and automating internal/external reporting Ability to use hard data and metrics to back up assumptions, make recommendations and drive actions Compensation: Salary: $80,000 - $125,000 Benefits: Medical, dental, vision, vacation" "Paid Summer Intern - Graduate, Data Scientist","San Francisco, CA 94111 (North Waterfront area)",Levi Strauss & Co.,"JOB DESCRIPTION This summer you could have the opportunity to work for one of Levi Strauss & Co.’s iconic brands! Our SanFrancisco-based Summer Internship opportunities, among the Levi’s® and Dockers® brands, give students real worldwork experience and exposure to one of the world’s leading fashion and apparel companies. Our 10 week Summer Internship Program is the perfect way to gain work experience within the core of the organization, while learning what a career at LS&Co. might have in store for you. In addition to day-to-day responsibilities, all interns will participate in an intern group project dedicated to a criticalbusiness initiative as well as be exposed to all areas of our business and our brands. Leadership seminars and careerexploration series connect our interns to our leaders and educate around different career paths. Intern performance willbe assessed using our internal review process. Levi Strauss & Company is pursuing a global strategy to become a best-in-class eCommerce retailer. This is an exciting opportunity for a business-minded, data savvy superstar: the successful intern candidate will play a key role in accelerating the effectiveness of Levi’s and Dockers eCommerce businesses using machine learning and data analysis during the summer of 2020. In this role, you will have the opportunity to partner with marketing, site merchandising, product, and content teams to tackle challenges of strategic importance to the company. You will have the opportunity to present recommendations to leadership and implement recommendations on the Levi.com and Dockers.com websites. Duties and Responsibilities Support online personalization, recommendation or content discovery projects. Work with marketing, product, and/or site merchandising teams to refine problem statements and hypotheses. Identify relevant internal and external data sources, collect, clean, and transform data to use in analyses. Explore data to increase understanding of customer behaviors, attitudes, and preferences. Build and maintain state-of-the-art statistical procedures, algorithms, and models in Python and/or R to solve a range of problems in diverse domains. Conduct experiments to test the effectiveness of models. Use analytical models to reduce uncertainty and drive key decisions across the organization: Understand the customer lifecycle; generate actionable insights and recommendations to ultimately increase revenue. Create compelling presentations for both internal and external. Qualifications: Be a current graduate student (MS or PhD.) in Statistics, Mathematics, Computer Science, or other field relevant to data science with an expected graduation/matriculation date in 2021. Have experience with the following software tools: Python (preferred) or another interpreted programming language like R for data exploration and modeling SQL for querying large datasets GitHub/git for version control Nice to have: Experience with cloud-based production environments such as AWS Have a passion for data-driven thinking from idea generation to model implementation. Have a willingness to quickly learn and adapt to new processes, technology, and ideas. Demonstrate a spirit of cooperation and teamwork. Be a great team player that everyone enjoys working with. Engage in our culture of continuous learning and improvement with a focus on providing solutions and delivering results. Ensure the accuracy and relevance of the team's deliverables through frequent peer-reviews and pair-programming sessions. The Company's policy is to provide equal opportunity to all persons without regard to race, color, creed, religion, national origin, citizenship, sex, age, sexual orientation, gender identity or gender expression, marital status, Vietnam era/disabled veteran status, physical or mental disability, or other protected classes prohibited by applicable law. Company policy prohibits harassment of applicants or employees on the basis of any protected classes. The Company has established a continuing Affirmative Action Program to assure equal employment opportunity in all its policy decisions affecting recruitment, selection, assignment, promotion, training, and all other terms and conditions of employment. LOCATION 1155 Battery St. San Francisco, CA, 94111 FULL TIME/PART TIME Full time" Data Scientist,"New York, NY",Advan Research Corporation,"Responsibilities: The individual with work with the CTO team to enhance our existing geolocation products along with new complementary datasets. They would be instrumental on the design of new offerings and combining the various existing datasets in one concrete product. The main focus would be on applying statistical modeling to various structured and unstructured geolocation data for verifying the quality and integrity of the data, cleansing the data and extracting trading signals along with using them to calibrate existing forecasting models. It would be also required to write research reports describing our data and its applications. Part of the role will entail interaction with the business development team on client driven projects. The individual should demonstrate strong ability to work on a fast paced environment, proven record of working with innovative product teams and be ambitious to participate in shaping the direction of the newly formed geolocation data industry. Competitive compensation package, including salary and bonus, along with equity participation. Requirements: Minimum 3 years relevant professional experience Quantitative degree, preferably Ph.D. or Master's Deep knowledge of statistical modeling using large datasets along with algebraic and multivariate calculus expertise Experience with R, Python and SQL" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Biotech Laboratory Technician/Data Analyst Updated 2/28/2020,"Los Angeles, CA 90034 (Palms area)","Laragen, Inc","Laragen, Inc is a biotech company specializing in genomics services. For more than 20 years, we have served academic institutions and private industrial sectors worldwide.We are currently looking for a senior laboratory technician/data analyst. Main job responsibility is genotyping data analysis, reporting results to clients, customer services, receiving samples, setting up PCR reactions, DNA extraction, troubleshooting, lab maintenance, developing SOPs and other lab documents.Required/Preferred skills: - A BA degree or higher in biology with 5+ years related experience in biotechnology- Able to multi-task and able to prioritize responsibilities- Must pay attention to detail.- Extensive computer and MS Excel experience- Extensive experience on real time PCR(qPCR) and genotyping- Strong pipetting skill and molecular biology techniques.- Able to recognize trends and able to be focused and observant- Able to work under pressure and keep up with a fast-paced environment- Can handle a high volume of sample processing. Industry experience preferred- Must be a team player. Good interpersonal skills- Good communication and customer service skills- Knowledgeable with Python is a plus.- Experience with fragment analysis software such as GeneMapper is a plusBenefits: - Medical, Dental, Vision, Life Insurances- 401K, Profit Sharing, Defined Cash Balanced Plan- Paid Time Off, Sick Leave- Bonuses- Flexible hoursJob Type: Full-timeSalary: $18.00 to $26.00 /hourExperience:Industrial Biotech Laboratory: 2 years (Required)PCR: 5 years (Preferred)Education:Bachelor's (Required)Location:Los Angeles, CA (Required)Work authorization:United States (Required)Additional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offOtherThis Job Is Ideal for Someone Who Is:Dependable -- more reliable than spontaneousDetail-oriented -- would rather focus on the details of work than the bigger pictureHigh stress tolerance -- thrives in a high-pressure environmentThis Company Describes Its Culture as:Detail-oriented -- quality and precision-focusedOutcome-oriented -- results-focused with strong performance cultureTeam-oriented -- cooperative and collaborativeSchedule:Monday to FridayOvertime" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Boston, MA",LinkSquares,"LinkSquares is looking for a talented, self-motivated data scientist to help build new features, products and support existing models. As a company, we're customer and sales-driven in every technical decision we make. As a member of our data science team, you will develop new features and products to help our customers understand their contract data by using machine learning for information extraction and classification in a NLP/NLU setting. You will assume a leading role in the creation, deployment and continuous improvement of models that power our platform. You will report directly to the CTO and get to work alongside the technical leadership team. You will have a close relationship with our Product Managers, Software Engineers, and our in-house legal team, collaborating in a fast-paced, small-team environment. We're looking for teammates with: PhD or a Masters degree in a quantitative or related field Proficiency in Python, Pandas, Numpy and a machine learning library (eg. Tensorflow/Keras, scikit-learn) A record of solving challenging technical problems and producing deliverables that address a core business or academic need Experience with training, evaluating and maintaining machine learning models NLP/NLU experience is a plus Knowledge of Github and software development best practices Experience using AWS A collaborative spirit to work with various stake-holders across the organization Intellectual curiosity A team-first philosophy Appreciation for the support of the company's revenue growth A knack for having funBy taking this job, you'll get: MacBook Pro Two HD monitors Unlimited vacation Stock options All you can eat snacks Great health and dental benefits 401k Company swag (we have the best socks in Boston) Chance to build something amazing from the ground floor Friendly commuting options to downtown Boston" Data and Machine Learning Scientist,"Thousand Oaks, CA 91362",Amgen,"Career Category Scientific Job Description Amgen is dedicated to discovering transformative medicines that address the leading causes of death and disability. We are seeking highly qualified data scientists to join our research team to apply data science expertise to develop models and algorithms in collaboration with multidisciplinary teams of computational and experimental scientists across potentially broad discovery areas of research. Key responsibilities include: Developing and implementing cutting edge machine learning and other data science solutions. Collaborating with other Amgen computational and experimental scientists to develop and optimize predictive models that can directly impact the discovery pipeline. Basic Qualifications: Doctorate degree OR Master’s degree and 4 years of Data Science experience OR Bachelor’s degree and 6 years of Data Science experience Preferred Qualifications: PhD in in Computational Sciences, Applied Math, Statistics or related quantitative field Strong track record of research accomplishments including three or more scientific publications or conference presentations Experience and enthusiasm in applying data science and machine learning to molecular sciences or drug discovery Experience in advanced data science techniques and tools, machine learning, supervised/unsupervised learning, etc. Experience with UNIX, Python, C++, TensorFlow, PyTorch, Keras Strong communication skills and enthusiasm for working in an interdisciplinary team environment Join Us If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of biotechnology with the top minds in the field, you'll find it at Amgen. Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, kidney disease, rheumatoid arthritis and other serious illnesses. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other but compete intensely to win. Together, we live the Amgen values as we continue advancing science to serve patients. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. Amgen will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance." Data Scientist,"Denver, CO",Course5 Intelligence,"Project: - Supply changes analytics Responsibilities Interact with business team to understand the requirements Interpreting the data to discover solutions and opportunities Design and plan analytics solution Develop the data science process to deliver supply changes outcome Cleaning and validating the data to ensure accuracy, completeness, and uniformity Devising and applying models and algorithms to mine the stores of big data Develop company A/B testing framework and test model quality Communicating findings to stakeholders using visualization and other means Ad-hoc request support for analysis Technical Skills Familiar with SAS analytics , ETL, Talend etc. Experience in Data science Python, R and Java etc. are required skill sets YK2UBkZHrt" Data Scientist AI-ML,"Hartford, CT",InterSources Inc,"Years of Experience: 10 – 15 yearsEducation: PhDJob Description: · A graduate with a Bachelor’s Degree in Computer Science or Engineering Discipline, Data Science or equivalent training and experience.· Concentrations in AI/ML preferred.· Must have 3-7yrs Experience on AI/ML (Artificial Intelligence & Machine Learning).· Preferable Expertise in leveraging capabilities of AI & ML with medium to large customer data in the Insurance Domain.· Expertise in the full product life cycle from idea generations on real customer use cases, building/leading the proof of concepts, and finally to implement for very large scale customer base.· Deep technical experience working with technologies related to artificial intelligence, machine learning and/or deep learning.· Solid grounding in statistics, probability theory, data modeling, machine learning algorithms, and software development techniques and languages used to implement analytics solutions.· 3+ years of deep experience with AI/ML platforms, technologies, Frameworks (e.g. Sci-kit Learn, TensorFlow, Apache MXnet, Theano, Keras, CNTK, Spark, Caffe, Open NLP, Pandas, etc.)· Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition.· Strong expertise with Classification & Regression models like Random Forest, Logistic Regression, KNN algorithm, etc.· Proficient with one or more general-purpose programming languages like Python, Java and other important ML and analytics languages (e.g. R, Scala).· Experience using and adapting to new technologies.· Scaling out ecosystems in the ML/AI space.· Familiar with the ecosystem of software vendors in the AI/ML space.· Ability to think strategically about Customer experience, business, product, and technical challenges.· Good Analytical skills and ready to take up the challenge as an independent resource.· Good Knowledge of Mathematics and Statistics will be nice to have.Job Type: Full-timeExperience:AI/ML: 3 years (Preferred)Apache MXnet: 3 years (Preferred)Sci-Kit learn: 3 years (Preferred)Theano: 3 years (Preferred)TensorFlow: 3 years (Preferred)Keras: 3 years (Preferred)" Data Scientist,"Fort Worth, TX",Sequoia Connect,"Our Client is a multinational information technology (IT) service and consulting company headquartered in Noida, Uttar Pradesh. Originally a research and development division of its holding, it emerged as an independent company in 1991 when our client entered into the software services business. The company has offices in 44 countries including the United Kingdom, the United States, France, and Germany with a worldwide network of R&D, ""innovation labs"" and ""delivery centers"", and 147,123 employees and its customers include 250 of the Fortune 500 and 650 of the Global 2000 companies. It operates across sectors including aerospace and defense, automotive, banking, capital markets, chemical and process industries, energy and utilities, healthcare, hi-tech, industrial manufacturing, consumer goods, insurance, life sciences, manufacturing, media and entertainment, mining and natural resources, oil and gas, retail, telecom, and travel, transportation, logistics & hospitality. Our client is on the Forbes Global 2000 list. It is among the top 20 largest publicly-traded companies in India with market capitalisations of $18.7 billion as of May 2017. As of September 2019, the company, along with its subsidiaries, had a consolidated revenue of $9.3 billion. Our Client due to its great success at the international level, it has been required to increase its team specialized in technology in USA. We are currently searching for a Data Scientist: Requirements 10+ years of experience in Data Sciences . Good experience in Python and Machine Learning. Should have experience in Cloud platforms like AWS and serverless architecture. Should have built and productionize models built in Python using frameworks like Scikit Learn, XGBoost and other. Should have experience with Flask or other f/w which can host Machine Learning models. Ideally should have been involved in Data Science or Analytics projects or have executed multiple PoCs. Should have extensive data analysis experience, should know about various exploratory techniques and able to present the findings to the end user. Should be conversant with various charting techniques to explore relationships in a dataset. Should at least know two Machine Learning algorithms Should know about statistical concepts such as Hypothesis testing, various tests, correlations, etc. We are looking for Data Science Engineering candidates who have software development experience as well (3-4 years) and have done at least two projects in software development. This is an individual contributor role. Vibration analysis will be nice to have skill. (not mandatory) Nice to have - Tensorflow , Pytorch, Deep Learning knowledge. Language English Advanced / Native. If you meet these qualifications and are pursuing new challenges that focus on delivering innovative solutions that increase business value, we’d like to talk with you today. Come be a part of the action at Sequoia Connect." Data Scientist,"Chicago, IL 60607 (West Town area)",McDonald's Corporation,"Company Description McDonald’s is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries and billions of customers served each year. As the global leader in the food service industry, we have a legacy of innovation and hard work that continues to drive us. Today, we are growing with velocity and are focused on modernizing our experiences, not to make a different McDonald’s, but to build a better McDonald’s. We are moving fast and are adding to our best-in-class team. Joining McDonald's means thinking big every day and preparing for a career that can have impact around the world. We are customer obsessed, committed to being leaders, and believe we are better when we work together. Over the last couple years, we’ve launched home delivery, modernized our restaurant experience through digital enhancements and have so much more to come. We are dedicated to using our scale for good: good for people, our industry and the planet. From ambitious recycling initiatives and balanced sourcing efforts to our partnership with Ronald McDonald House Charities, we are constantly improving. We see every single day as a chance to have a genuine impact on our customers, our people and our partners. Our new, state-of-the-art headquarters is located in the booming West Loop area in the heart of downtown Chicago. It's set up to be a global hub that cultivates innovation. Take a class at Hamburger University, sample future menu items in our Test Kitchen, and utilize the latest technology to communicate with your team around the globe! Our office helps us connect with each other like never before. Participate in monthly organized events, enjoy massive outdoor spaces, an 8000 square foot gym, and an onsite McDonald's serving international favorites. Needless to say, you’ll be lovin’ it here! Job Description McDonald’s is looking to hire a Data Scientist who has a deep understanding of Advanced Analytics and Big Data. The role will include work on descriptive analytics, but will be more focused on building predictive/prescriptive models that can be deployed into production. A successful Data Scientist has shown experience in managing projects and leading others to high impact timely results. You will communicate analyses and recommendations to cross-functional partners and decision makers. The position requires someone that seeks to supplement their skills through the use of project experience, self-study, and ongoing training. Qualifications Master’s or PhD Degree in Information Technology, Computer Science, or a related discipline strongly preferred Understanding of high performance ML algorithms (SVM’s, gradient boosted decision trees, deep neural networks, etc.) and with toolkits/frameworks from R or Python, preferably with cloud deployment experience Experience in building models that have been deployed to production (e.g. in marketing, demand forecasting, or supply chain) Experience using big data batch and streaming tools (Spark, AWS tools, Hadoop) Self-starter with high level of intellectual curiosity Strong analytical and hardworking problem solving mindset Able to build a sense of trust and rapport that creates a comfortable & effective workplace Additional Information McDonald’s is committed to providing qualified individuals with disabilities reasonable accommodations to perform the essential functions of their jobs. Additionally, if you (or another applicant of whom you are aware) require assistance accessing or reading this job posting or otherwise seek assistance in the application process, please contact recruiting.supportteam@us.mcd.com McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Nothing in this job posting or description should be construed as an offer or guarantee of employment." Data Scientist - Strategic Data Science,"New York, NY","Two Sigma Investments, LLC.","Two Sigma is a different kind of investment manager. Since 2001, we have used data science and technology to derive insights to forecast the future and discover value in markets worldwide. Our team of scientists, technologists and academics looks beyond traditional finance to understand the bigger picture and to develop creative solutions to some of the world’s most difficult economic problems. Our work spans markets and industries, from insurance and securities to private investments and new ventures. The Strategic Data Science team’s mission is to unlock new high-potential revenue streams by harnessing Two Sigma’s data, technology and modeling capability into a scalable and portable prediction engine and monetizing this engine into new investment products or non-investment business lines. In particular, the Strategic Data Science team is working on building a systematic and data-driven private investment focused modeling environment, with application to investment products across the Two Sigma businesses. The team’s ambition is to leverage Two Sigma’s accumulated know-how, proprietary data-science platform and scientific investment approach in highly fragmented, illiquid and unstructured markets. By leveraging these tools, we can develop a meaningfully differentiating investment process in an industry dominated by institutions relying on local knowledge, personal networks and incomplete information. The Strategic Data Science team is seeking a data scientist to join our growing team and contribute to building the initial data and modeling platform used to guide our team’s investment process and asset selection. With statistics, economics, and computation at the heart of all our work, we will be most successful when data science is used to empower our team to make data-driven, evidence-based investment decisions that scale quickly. Our mission is to give our team a significant competitive edge in this alpha-phase of the initiative, while also building a platform that scales and provides an enduring advantage: the world’s first data-driven private asset prediction engine. You will take on the following responsibilities: Independently generate and articulate hypotheses on what may affect private markets, asset valuations, and private deal processes Leverage existing data sets, as well as identify and trial new data sets, in order to interrogate yours — and the team’s — hypotheses Present your work internally to the working teams, other modeling teams, members of Two Sigma’s leadership team and various Two Sigma businesses Spend time with private market partners to better understand how it works, how software is used, and what data is critical to industry practitioners daily workflows Develop a deep understanding of private markets You should possess the following qualifications: Strong independent development of predictive models in common open-source statistical programming languages Experience working with high-dimensional and sparse datasets, as well as recognition of when and how to combine such datasets to enhance their value Familiarity with time-series and spatial analysis methods and software, particularly mapping tools Desire to work in a dynamic and evolving research and development environment, where you may be working on several parallel research tracks and will be expected to switch context frequently Strong communication skills, with an emphasis on the ability to understand your audience and flexibility to communicate complex topics to non-experts Two Sigma employees enjoy the following benefits: Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms Learning: Tuition reimbursement, conference and training sponsorship Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics" Data Scientist - AI Labs,"Palo Alto, CA 94301 (Professorville area)",BlackRock,"Description About this role Data Science at BlackRock: In February 2018, BlackRock announced the creation of a new central Data Science team in order to accelerate innovation and technology in artificial intelligence, and to have firm-wide impact using data science to solve strategic problems. With BlackRock managing more assets than anyone in the world, there is a rich problem space for data scientists and engineers across all areas of the business including investments, sales, marketing, operations, product, UX, etc. and the potential to have large scale impact. The team you’d be part of: In the first year, the team has grown to 30+ data scientists and data engineers. The team works collaboratively; and is a multi-disciplinary team with the following skills and capabilities: machine learning, statistical modeling, exploratory data analysis, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, project /product management and strategy. We work with data from a wide variety of sources including text, news feeds, financial reports, time series transactions, user behavior logs, imagery, and real-time data. As this is a new team, we will be in start-up mode, so you would be helping to build and shape the team and culture from the ground up. You should therefore be comfortable with ambiguity and willing to be pro-active in your contributions, and evolve as the team grows. We are looking for candidates with unique backgrounds and diverse skill sets with fresh perspectives to accelerate and amplify our efforts to make an impact at BlackRock. Data Science Core aims to bring best of class technologies, analytics, and insights to the entirety of the firm and to our clients utilizing data from a wide variety of sources including text, news feeds, financial reports, time series transactions, logs, imagery, and real-time data. Check this out: BlackRock in the News The Role: As a Product Manager for Trading in the AI Labs you will play a key role in defining BlackRock’s AI trading capabilities. The main focus for this role is building trading systems using artificial intelligence with a focus on increasing revenue. You will work in close collaboration with traders, Data Scientists, and Data Engineers to build next generation trading strategies. What you'll do:Work with partners and stakeholders to develop a 12-month roadmap for revolutionizing trading using artificial intelligence. You will facilitate user testing, feedback, and transparency of AI Labs products within BlackRock’s Trading organization.Work in an agile environment with multiple cross functional data science and engineering squads to deliver to the roadmap.Collaborate with stakeholders and squads to deliver and operate solutions in production.Explore new partnerships to expand BlackRock’s AI capabilities to generate revenue, reduce risk, or increase efficiencies. You will help determine product requirements and work with technical leads to ensure AI algorithms always stay relevant to those requirementsYou’ll help define the art of the possible by creating data-driven algorithms for trading.Partner with AI Labs leads to make sure that your team is strong and healthy – including capabilities, happiness, resilience and growth.Ensure your team is doing the right things, while not spreading too thin. Who you are:You are comfortable facilitating planning and decision-making across several teams, including stakeholders, and know how to inspire, motivate and support a team to get things done. You can adapt and prioritize new product features within a dynamic environment.You have experience working as a senior leader in software engineering, especially in large-scale distributed architecture, delivering data-driven products. You understand the data science lifecycle from research to product.You have experience in finance or a desire to learn about investment management. You are comfortable managing vendor data relationships.You can translate your and your team’s knowledge and experience to a strategy and prioritized backlog.You are good at communicating concepts and ideas to technical and non-technical stakeholders at all levels, in different shapes depending on the contextYou have experience with data driven product development and knowledge of agile methodologies About BlackRock BlackRock’s purpose is to help more and more people experience financial well-being. As a fiduciary to investors and a leading provider of financial technology, our clients turn to us for the solutions they need when planning for their most important goals. As of December 31, 2019, the firm managed approximately $7.43 trillion in assets on behalf of investors worldwide. For additional information on BlackRock, please visit www.blackrock.com/corporate | Twitter: @blackrock | Blog: www.blackrockblog.com | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. We recruit, hire, train, promote, pay, and administer all personnel actions without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping (including assumptions about a person’s appearance or behavior, gender roles, gender expression, or gender identity), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law. We interpret these protected statuses broadly to include both the actual status and also any perceptions and assumptions made regarding these statuses. BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law." Data Scientist,"Orlando, FL",Darden,"POSITION TITLE: Data Scientist The Data Scientist serves as a senior analyst and project lead on the Darden’s Advanced Analytics team. S/he is primarily responsible for the preparation, analysis, and interpretation of large volumes of data. S/he also works with business partners across Darden’s brands and central functions to help translate business problems into data science projects that create real business value. S/he is expected to have a strong working knowledge of data science and best practices of coding for business analysis. S/he will perform peer code review and share knowledge with Junior and Associate Data Scientists. The Data Scientist will use advanced analytics to support a broad array of projects including targeted marketing, marketing effectiveness, operations and workforce enablers, customer analysis, and various market-growth initiatives. ROLES AND RESPONSIBILITIES: Generates business value using contemporary data science techniques.Prepares, analyzes, and interprets large volumes of data. Presents meaningful insights from complex analytics projects in a simple and impactful way that business leaders can understand. Takes a leadership role in understanding the requirements, identifying relevant data sources, and assessing the best methodology/approach to perform the analytics. Performs peer review of code and methodology. Coaches and helps develop Junior and Associate Data Scientists. Consults with IT to ensure data quality, integrity, completeness, and validity. REQUIRED TECHNICAL SKILLS: Minimum of 3-5 years' experience doing data science in a business environment Strong analytical and problem solving skills with a solid understanding of businessAdvanced proficiency in in R or PythonIntermediate to advanced proficiency of data science methods Intermediate proficiency with relational database systems Intermediate proficiency with data visualization REQUIRED EDUCATION: Bachelor's degree in Data Science, Business Analytics, Statistics, Economics, Applied Mathematics, Computer Science, Management Information Systems or a related field OTHER KEY QUALIFICATIONS: Demonstrated ability exemplifying initiative, project management skills, and accuracy/detail-orientation Ability to work well on teams and independently Extremely curious about data and problem solving Excellent organizational and prioritization skills Excellent written and verbal communication skills Strong desire to learn new data science methods PREFERRED SKILLS AND EXPERIENCE: Master's degree Demonstrated ability to summarize and present complex analytics to senior leadership." Data Scientist,"Columbus, OH",1Point Solutions Inc,"Job Title: Data ScientistLocation: Columbus OHDuration: Full TimeMust have skillsWork with business partners to understand challenges and problem statements. Work with business partners to elaborate use cases.Perform data analysis and data mining. Evaluate various AI/ML models/algorithm for the given use case and recommend approachDesign and implement an AI/ML solutionEstablish and document ML standards within the teamCreate examples, prototypes, demonstrations to senior managementTrain junior scientists and offer counsel to peersJob Type: Full-time" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" "Senior Data Scientist, Business Analytics","Mountain View, CA 94041",Intuit,"We are looking for a great data scientist for our Quickbooks Online (QBO) business. Quickbooks is used by over 5MM SMBs globally to run their businesses and we are the team responsible for using our data to answer the most critical questions facing the QBO Product Managers and Marketers. Everything from understanding the trends in our subscriber growth to shaping our product strategy through A/B testing and more happens within our team and we need top data scientists to help the business deliver the best possible product to our SMB customers. We are growing rapidly and need great people to support our analytical efforts in both Product and Marketing. What does it take to thrive on our team? You need to be a top-notch problem solver and problem identifier as there are no points for an elegant solution to the wrong problem. It’s also a good idea to know the standard suite of analytical tools - SQL, R/Python, some sort of data visualization tool - but more importantly you must know how to learn tools quickly. We also often find that having a bit of a software engineering mindset is valued too - much like good software solutions, good analytical solutions are scalable and repeatable as this is what allows us to solve a problem once and go tackle the next one. Last, knowing that in most cases done is better than perfect is important - getting the current problem right to the sixth decimal place is almost always less impactful than getting to the next problem." Data Scientist,"Nashville, TN 37201","iHeartMedia, Inc.","Current employees and contingent workers click here to apply and search by the Job Posting Title. iHeartRadio Job Summary: We are looking for an experienced Data Scientist to join the team at iHeartRadio to help us with our mission to reshape the world of music and podcasts. Data Science is at the heart of creating a data-driven culture at iHeartRadio. We help to define and deliver an unrivaled personalized music experience to our users by working closely with cross-functional with teams of Data Engineers, Product Managers, Marketing Managers, and BI/Analytics. As a full stack team, we engage with this mission at every level; we understand our user’s intents and preferences through data, and design and engineer products that directly connect our users to the music they’ll love.In your first six months, your work will result in releasing new audio data products directly to our 120+ million users. You will also build models to predict and understand the user journey through typical listening lifecycles. You will have end to end ownership of your code, though ideally you also relish reviewing a good pull request. If you enjoy building machine learning models, working with large data sets, and having a direct impact on a dynamic business, then this is a good role for you. We are looking for an experienced Data Scientist to join the team at iHeartRadio to help us with our mission to reshape the world of music and podcasts. Data Science is at the heart of creating a data-driven culture at iHeartRadio. We help to define and deliver an unrivaled personalized music experience to our users by working closely with cross-functional with teams of Data Engineers, Product Managers, Marketing Managers, and BI/Analytics. As a full stack team, we engage with this mission at every level; we understand our user’s intents and preferences through data, and design and engineer products that directly connect our users to the music they’ll love. In your first six months, your work will result in releasing new audio data products directly to our 120+ million users. You will also build models to predict and understand the user journey through typical listening lifecycles. You will have end to end ownership of your code, though ideally you also relish reviewing a good pull request. If you enjoy building machine learning models, working with large data sets, and having a direct impact on a dynamic business, then this is a good role for you. We strongly believe in being an active part of our community. We teach, write, give tech talks, release open source projects, and would love it if you also shared these passions. Take a look at a few of our recent blog posts to get an idea: https://tech.iheart.com/mapping-the-world-of-music-using-machine-learning-part-2-aa50b6a0304c https://tech.iheart.com/a-generative-model-for-track-playlists-4dba8b8515c https://tech.iheart.com/ihrpi-a-simple-solution-to-python-package-management-874e373f5838 https://tech.iheart.com/real-time-music-recommendations-for-new-users-with-amazon-sagemaker-364b346d07db You like: Solving complex real world problems Collaborating with business stakeholders to understand requirements and socialize solutions Designing and implementing novel machine learning methods Evaluating new paradigms for deploying machine learning models Staying atop the most recent developments and best practices in a quickly changing field You have: A deep understanding of machine learning algorithms and statistics Scientific or quantitative computing experience (Python, R, Spark) Experience working with distributed datasets (Hadoop, Hive, Spark, SQL) The ability to tell a story with data (large scale analysis, data visualization) Experience writing production code (such as Python, Java, or Scala) An understanding of best practices in software engineering (git, CI/CD, etc) (Preferred) a Masters or PhD degree in computer science or a quantitative discipline (statistics, mathematics, economics, etc) OR 2+ years of previous work experience as a data scientist Who are we at iHeartRadio? iHeartRadio, iHeartMedia’s digital radio platform, is the fastest growing digital audio service in the U.S. iHeartRadio offers users thousands of live radio stations, personalized custom artist stations created by just one song or seed artist, and the top podcasts and personalities. With over a billion downloads, iHeartRadio reached 120 million registered users faster than any other radio or digital music service. iHeartMedia’s platforms include radio broadcasting (850+ stations), online, mobile, digital and social media, podcasts, personalities and influencers, live concerts and events, syndication, music research services and independent media representation. Location Nashville, TN; 1200 Broadway, 6th Floor, 37203 Position Type Regular The Company is an equal opportunity employer and will not tolerate discrimination in employment on the basis of race, color, age, sex, sexual orientation, gender identity or expression, religion, disability, ethnicity, national origin, marital status, protected veteran status, genetic information, or any other legally protected classification or status.Our organization participates in E-Verify. Click here to learn about E-Verify.Current employees and contingent workers click here to apply and search by the Job Posting Title." Data Scientist,"Orlando, FL",Darden,"POSITION TITLE: Data Scientist The Data Scientist serves as a senior analyst and project lead on the Darden’s Advanced Analytics team. S/he is primarily responsible for the preparation, analysis, and interpretation of large volumes of data. S/he also works with business partners across Darden’s brands and central functions to help translate business problems into data science projects that create real business value. S/he is expected to have a strong working knowledge of data science and best practices of coding for business analysis. S/he will perform peer code review and share knowledge with Junior and Associate Data Scientists. The Data Scientist will use advanced analytics to support a broad array of projects including targeted marketing, marketing effectiveness, operations and workforce enablers, customer analysis, and various market-growth initiatives. ROLES AND RESPONSIBILITIES: Generates business value using contemporary data science techniques.Prepares, analyzes, and interprets large volumes of data. Presents meaningful insights from complex analytics projects in a simple and impactful way that business leaders can understand. Takes a leadership role in understanding the requirements, identifying relevant data sources, and assessing the best methodology/approach to perform the analytics. Performs peer review of code and methodology. Coaches and helps develop Junior and Associate Data Scientists. Consults with IT to ensure data quality, integrity, completeness, and validity. REQUIRED TECHNICAL SKILLS: Minimum of 3-5 years' experience doing data science in a business environment Strong analytical and problem solving skills with a solid understanding of businessAdvanced proficiency in in R or PythonIntermediate to advanced proficiency of data science methods Intermediate proficiency with relational database systems Intermediate proficiency with data visualization REQUIRED EDUCATION: Bachelor's degree in Data Science, Business Analytics, Statistics, Economics, Applied Mathematics, Computer Science, Management Information Systems or a related field OTHER KEY QUALIFICATIONS: Demonstrated ability exemplifying initiative, project management skills, and accuracy/detail-orientation Ability to work well on teams and independently Extremely curious about data and problem solving Excellent organizational and prioritization skills Excellent written and verbal communication skills Strong desire to learn new data science methods PREFERRED SKILLS AND EXPERIENCE: Master's degree Demonstrated ability to summarize and present complex analytics to senior leadership." Data Scientist,"Chicago, IL 60606 (The Loop area)",Crowe,"Job Summary About Crowe Data Science Everything we do is about making the future of human work more purposeful. We do this by leveraging state-of-the-art machine learning, modern architectures, and industry experts, to create AI-powered software-as-a-service. Our world-class Data Science professionals give Crowe the ability to capture and harness the power of data. A combination of data scientists and machine learning engineers create and deploy AI functionality into software to solve complex problems. This type of group, rarely seen anywhere except large tech companies, focuses on building scalable AI products, not just one-time insights. You will learn and build on a wide range of technologies – distinguishing Crowe in the market and driving the firm’s technology and innovation strategy. The future is powered by AI, come build it with us. About the Team We believe machine learning is software. While we know our way around Jupyter notebooks and ggplot2, they are not the end of our machine learning pipelines. Our team uses modern frameworks and tools (git, Docker, Kubernetes) to engineer machine learning solutions. We foster good science. You are given the time and resources you need to build your expertise in your project, and you will guide fellow data scientists and other Crowe staff through your work. We want to make good scientists better. Data scientists have plenty of options on the job market. We want to be one of the best ones. We have a journal club that meets weekly, regular opportunities for team members to teach each other, support for conferences, and recurring reading groups. Moreover, our team offers generous PTO, a flexible work from home policy, and a strong commitment to work-life balance. Company-wide, Crowe routinely wins awards for our support of our staff, including our Fortune 100 Best Companies to Work for in 2019. About the Role We work on medium-term machine learning projects (4-8 months) with a high degree of autonomy. We are not external facing. We harness the subject matter expertise of other Crowe teams to build machine learning products. We write and review code for training, testing, and deploying machine learning models. Company Overview Your Journey at Crowe Starts Here: At Crowe, you have the opportunity to deliver innovative solutions to today’s complex business issues. Crowe’s accounting, consulting, and technology personnel are widely recognized for their in-depth expertise and understanding of sophisticated process frameworks and enabling technologies, along with their commitment to delivering measurable results that help clients build business value. Our focus on emerging technology solutions along with our commitment to internal career growth and exceptional client value has resulted in a firm that is routinely recognized as a “Best Place to Work.” We are 75 years strong and still growing. Come grow with us! Qualifications Programming experience. Your job will require you to code - we write Python and R, so experience in these languages is preferred. Machine learning experience. You enjoy machine learning. You've gone deeper than reading blog posts, ideally having several example machine learning projects you can speak to within industry, academia, or your free time. Capacity for autonomy. You won't have to hit the ground running on day one, but you will have to manage your time between research, model development, and model deployment. Strong communication skills. You can both dive deep in machine learning and explain concepts to a non-technical audience. Preferred Skills Hackiness. You like to code and have interest in learning new technologies. Using git and Docker as regular parts of your workflow sounds exciting. Curiosity about machine learning. You want to stay fresh in machine learning. You aren't afraid to take a stab at deep learning papers before they become blog posts (even if you don't have experience in it quite yet). Our Benefits: At Crowe, we know that great people is what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Crowe can mean for you. How You Can Grow: We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper. More about Crowe: Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world." Data Scientist - Forecasting and Analytics,"Santa Clara, CA 95054",Malwarebytes,"Data Scientist – Forecasting and Analytics Who We Are: Malwarebytes is the next-gen cybersecurity company that millions worldwide trust. Malwarebytes proactively protects people and businesses against dangerous threats such as malware, ransomware, and exploits that escape detection by traditional antivirus solutions. The company’s flagship product combines advanced heuristic threat detection with signatureless technologies to detect and stop a cyberattack before damage occurs. More than 10,000 businesses worldwide use, trust, and recommend Malwarebytes. Founded in 2008, the company is headquartered in California, with offices in Europe and Asia, and a global team of threat researchers and security experts.We’ve created a fantastic culture that our employees love and were recently named in the top 10 ofFortune Magazine’s “Great Place to Work” list. We’re growing fast and are looking for some great people to join us.Who We Need: You will play an important role in driving the growth and accurate reporting at Malwarebytes by surfacing, analyzing, and reporting on data that drives mission-critical business decisions. The ideal candidate is analytical problem solver who enjoys diving into data, gets excited about investigating and developing algorithms, and can influence technical teams and business stakeholders to solve real-world problems. The qualities and capabilities required will require an incredibly intelligent and talented professional. Sound like you?What You’ll Do: Design and develop new forecasting methodologies by analyzing data sources, testing different models, running computational experiments, and fine-tuning model parameters.Support decision making by providing requirements to develop analytical capabilities, platforms, pipelines and metrics then using them to analyze trends.Formalize and document assumptions about how forecasts are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them.Translate forecasting business requirements into specific analytical questions that can be answered using various statistical methods; work with other organizations for required data when it is not available.Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about our products and systems as well as sharing insights and recommendationsAnalyze and interpret huge data sets to improve predictability of key financial metrics for tracking and supporting strategic decisionsBuild/modify/maintain dashboards and reports to regularly communicate results and monitor key metrics in scalable waysWrite efficient SQL/Python/R code to fuel analytical frameworks and dashboards mentioned aboveBecome a subject matter expert in pipeline to revenue data and play instrumental roles in supporting strategic initiativesSkills You’ll Need to Have: Advanced Degree in Computer Science/Engineering, Mathematics, Statistics, Economics, or another quantitative field.5+ years of experience using data to facilitate business decisions; high growth, technology(B2B SaaS is a plus), management consulting, or business intelligence background preferred;Understanding of financial concepts a plusExcellent communication skills with the ability to communicate at C-levelExcellent SQL, Python, R, and Excel skills with development experienceFirm believer of data informed decision makingProven ability to convey rigorous technical concepts and considerations to non-expertsDeep and broad skills in quantitative modeling, statistical analysis, and problem-solving.Experience in time series forecasting and analysisBasic understanding of financial and accounting concepts and sales/marketing pipeline, familiarity with Salesforce.comSelf-driven with the ability to work in a self-guided mannerWhat We Offer: An opportunity to do something great for yourself and the worldA great work environment that supports growth and developmentCompetitive compensation and benefit packages401(k) matching programOpen time off policyStocked kitchen with healthy (and some unhealthy) drinks, snacks, fruit and lunch optionsA company that enjoys having fun; holiday and summer parties, sporting events and lots of other great stuffJob Type: Full-timeWork Location:One locationBenefits:Health insuranceDental insuranceVision insurancePaid time offSchedule:Monday to Friday" DATA SCIENTIST,"Chicago, IL",Big Bright International,"Data Scientist at various unanticipated client locations throughout the US to lead data assessment, modeling and forecast for big size multi-national companies; provide ETL big data integration; utilize Data Stage to populate tables in data warehouse and data marts. Hadoop, Pig, Hvive, Data Stage, and Netezza. Must have a Master’s degree in Management Information Systems, or Business Administration, or foreign equivalent." Data Scientist,"Fort Worth, TX",Sequoia Connect,"Our Client is a multinational information technology (IT) service and consulting company headquartered in Noida, Uttar Pradesh. Originally a research and development division of its holding, it emerged as an independent company in 1991 when our client entered into the software services business. The company has offices in 44 countries including the United Kingdom, the United States, France, and Germany with a worldwide network of R&D, ""innovation labs"" and ""delivery centers"", and 147,123 employees and its customers include 250 of the Fortune 500 and 650 of the Global 2000 companies. It operates across sectors including aerospace and defense, automotive, banking, capital markets, chemical and process industries, energy and utilities, healthcare, hi-tech, industrial manufacturing, consumer goods, insurance, life sciences, manufacturing, media and entertainment, mining and natural resources, oil and gas, retail, telecom, and travel, transportation, logistics & hospitality. Our client is on the Forbes Global 2000 list. It is among the top 20 largest publicly-traded companies in India with market capitalisations of $18.7 billion as of May 2017. As of September 2019, the company, along with its subsidiaries, had a consolidated revenue of $9.3 billion. Our Client due to its great success at the international level, it has been required to increase its team specialized in technology in USA. We are currently searching for a Data Scientist: Requirements 10+ years of experience in Data Sciences . Good experience in Python and Machine Learning. Should have experience in Cloud platforms like AWS and serverless architecture. Should have built and productionize models built in Python using frameworks like Scikit Learn, XGBoost and other. Should have experience with Flask or other f/w which can host Machine Learning models. Ideally should have been involved in Data Science or Analytics projects or have executed multiple PoCs. Should have extensive data analysis experience, should know about various exploratory techniques and able to present the findings to the end user. Should be conversant with various charting techniques to explore relationships in a dataset. Should at least know two Machine Learning algorithms Should know about statistical concepts such as Hypothesis testing, various tests, correlations, etc. We are looking for Data Science Engineering candidates who have software development experience as well (3-4 years) and have done at least two projects in software development. This is an individual contributor role. Vibration analysis will be nice to have skill. (not mandatory) Nice to have - Tensorflow , Pytorch, Deep Learning knowledge. Language English Advanced / Native. If you meet these qualifications and are pursuing new challenges that focus on delivering innovative solutions that increase business value, we’d like to talk with you today. Come be a part of the action at Sequoia Connect." Data Scientist,"Denver, CO 80202 (Union Station area)",AirDNA,"About AirDNA AirDNA is a technology startup revolutionizing the vacation rental industry. AirDNA has established itself as the the leading provider of data and analytics for the $140 billion dollar industry. Our customer roster includes a who’s who of investment banks, hotels, hedge funds, real estate investors, and vacation rental pros. We are bootstrapped, profitable, and looking to take the world by storm in 2019. The Role In the past three years we have assembled 7TB of geospatial, descriptive, and time-series data on the short term rental market. Using this data, you will build models and predictive analytics that help our customers better understand and thrive in the short-term rental industry. You will be the point person for all new data innovations that empower entrepreneurs worldwide. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Some of the projects you’ll work on include: Improve existing models for determining the revenue generated by over 7 million vacation rentals each day, Build out a best-in-class rate recommendation engine for optimizing vacation rental pricing worldwide, Expand upon our home valuation models that determine how much any home in the world would earn as a short-term rental property, Matching properties across multiple data sources to develop a single, holistic view of the entire industry, Assess the effectiveness and accuracy of new data sources and data gathering techniques. About You 3+ years in data science with experience implementing predictive models at scale & in production environments Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Boosting, Ensembling, Neural Networks, clustering techniques, etc. Experience with common data science toolkits, such as Python NumPy, SciPy, Scikit-learn, TensorFlow, R, Spark ML, etc. Excellent scripting and programming skills in Python and R with focus on clarity, reproducibility, and reusability Experience with relational (PostgreSQL) and NoSQL (ElasticSearch, MongoDB, HBase, Cassandra) technologies Proficiency in using query languages such as SQL, Hive, Pig, Lucene search Good applied statistics skills, such as hypothesis testing, distributions, bias/variance trade-offs, statistical testing, regression, as well as linear algebra e.g. PCA Experience training/tuning machine learning models to be used in production environments for real-time processing BS/MS in Math, Statistics, Economics, or related fields, or equivalent experience Bonus points for experience in the hospitality, real estate or vacation rental industry Job Perks Competitive cash comp and benefits. Meaningful equity upside – We are small team with no outside investors and want every hire to share in our long term financial success. Snacks & team events – Our Chief Snack Officer stocks the kitchen with coffee, tea, and snacks. We have monthly office lunches, and make room for team-events a few times a year. Location, location, location – We have a great office space in LoDo, a short walk from Union Station, Larimer Square, and the 16th St Mall. The AirDNA Team We’re a tight-knit group who care about empowering the next generation of shared economy entrepreneurs. We like to work hard. We believe in work/life balance because we make work a fun environment you’ll want to be a part of. We all wear multiple hats and are working on at least 5 projects at a time. Life is never boring here. We’re risk takers. We care about each other and lend helping hands all day, every day. To apply: At AirDNA, we believe that a diverse team is a key part of building a great company. If you want to work with us, we want to hear from you. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status." Senior Data Scientist - Nationwide Opportunities,"Santa Monica, CA","Amazon Web Services, Inc.","· · Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experienceExperience with ML fields, e.g., natural language processing, computer vision, statistical learning theory6+ years of industry experience in predictive modeling, data science, and analysisExperience in an ML engineer or data scientist role building ML modelsExperience writing code in Python, R, Scala, Java, C++ with documentation for reproducibilityExperience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop modelsExperience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI) and Machine Learning (ML)? Excited by using massive amounts of disparate data to develop ML models? Eager to learn to apply ML to a diverse array of enterprise use cases? Thrilled to be a part of Amazon who has been pioneering and shaping the world’s AI/ML technology for decades? At Amazon Web Services (AWS), we are helping large enterprises build ML models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions. AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. This is a customer-facing role and you will be required to travel to client locations and deliver professional services as needed. Major responsibilities include:Assist customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organizationUse AWS AI services (e.g., Personalize), ML platforms (SageMaker), and frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to help our customers build ML modelsResearch and implement novel ML approaches, including hardware optimizations on platforms such as AWS InferentiaWork with our other Professional Services consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our Professional Services engineers to operationalize customers’ models after they are prototyped · · Mater’s degree of PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships.Publications or presentations in recognized ML journals or conferencesDeep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organizationDemonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records." "Data Scientist, Sales Analytics","New York, NY 10017 (Turtle Bay area)",Slice,"What is Slice? Slice is the leading technology and marketing platform made exclusively for local pizzerias, making it super easy to order delicious, authentic local pizza anywhere, anytime. We serve the $45 billion U.S. pizzeria market in two ways: by providing a pizza-centric mobile and web ordering experience for consumers, and by empowering local restaurants with the technology, tools, and marketing to grow their business, while helping them compete with Big Pizza. Can you imagine what a small mom and pop pizza shop could achieve with the resources of Domino's? Slice is looking for data scientists with different seniority to join our Business Analytics team and help power the growth and success of the Sales organization. You will have a deep understanding and empathy for how sales teams operate and are a great partner to work closely with Sales leadership on a daily basis. You are scrappy and excited about working in an evolving business and data infrastructure, you feel passionate about building a data-driven culture of the company and having a huge impact on a growing team. What you'll do:Work with sales teams to define metrics and develop insights for improving sales performance and effectiveness Deepen our understanding of shops and customers to optimize market strategy and uncover new opportunities Partner with upstream data providers and downstream collaborators to ensure our Sales teams have access to accurate and actionable insights to support their workflows Instill a culture of operational and data excellence by partnering with Data Engineering to design and develop reliable and scalable data pipelines Use data to inform and influence the direction of team roadmaps and inform business decisions What we're looking for:BS/MS in statistics, mathematics or related quantitative fields 3+ years of professional industry experience doing quantitative analysis, preferably supporting Sales functions Proficiency in SQL and experience in data ETL in large database systems Experience in running advanced analyses in languages such as Python, R, etc. A proven track record of using analysis to impact key business decisions The ability to clearly and effectively communicate the results of complex analyses Ability to manage small projects and to operate as the point of contact for the business partner. Experience in software engineering, data engineering, consulting, or academic research a plus History of Slice: Slice was born in 2010 and has quietly bootstrapped its way to building a network of more than 11,000 pizzerias nationwide. Ilir Sela ( https://www.forbes.com/sites/amyfeldman/2018/04/10/pizza-unchained-tech-startup-slice-helps-local-pizzerias-get-online-and-fight-back-against-dominos/#56b483651263 ), our founder and CEO, started the company as a passion project to help his friends and family in the pizza business, but he quickly saw a massive opportunity to champion these small businesses by bringing their craft to the masses. Ilir has since built an amazing team of operators, marketers, technologists, and investors — all dedicated to making it easier for people to enjoy their favorite local pizza while helping local shops succeed. Our Pizza Philosophy Slice is on a journey to be the most valuable pizza brand on the planet. We connect makers and eaters to enrich their lives through the power of specialization and pizza expertise. Backed by generations of knowledge and cutting-edge technology, we give makers the platform and voice to take charge of their industry, expand their coverage, and fill the world with authentic cuisine. When passionate makers turn their craft into their livelihood, we all live happier, fuller lives. People stop accepting the homogenous, mass-produced pies of big chains and robotic trucks because the quality, variety, and authenticity of Slice is both hyper-convenient and known worldwide. We believe pizza isn't just food. It's a slice of community, a slice of culture, a slice of life. We're growing our family every day — so, if you've got a passion for local, authentic pizza and the drive to help share it with the world, we'd love to have you on the team! Check out a few awards we've recently won for our workplace and culture: Inc. ( https://www.inc.com/profile/Slice ), Crain's ( https://www.crainsnewyork.com/html-page/672566 ), BuiltinNYC ( https://www.builtinnyc.com/companies/best-places-to-work-nyc-2019 ) Slice is an Equal Opportunity Employer and is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." data scientist,United States,Qikspace,"Job Summary A talented data scientist with strong background in realtime big data solutions and contextual relevance frameworks. Responsibilities You will work as part of the core team and help us discover the information hidden in vast amounts of data, making smarter decisions and contextual relevance in order to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Qualifications Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable Great communication skills Experience with data visualisation tools, such as D3.js, GGplot, etc. Proficiency in using languages and query languages such as SQL, Python, C#, C++, R, Hive, Pig Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Realm Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills C#, Python, Java, Android Studio Data-oriented personality Education Requirements MS or PhD in Data Science or comparable field strongly preferred. However, overwhelming weight will be given to experience and prior accomplishments." Data Scientist,"Washington, DC",Tetra Tech,"Tetra Tech is looking for a customer-oriented Data Solution Architect to join our team and support a growing project team at the Federal Aviation Administration (FAA). Qualified candidates will have experience working in a client facing environment and preferably have experience supporting a federal solutions team and ideally have a basic understanding or air traffic principles and the aviation industry, in addition to regularity policies in air traffic. In this role you will translate requirements created by functional analysts into the architecture for that solution. Ideal candidates will have experience supporting cloud computing, data architecture, machine learning, or cyber security solutions. Primary job duties and responsibilities may include, but are not limited to the following: Provide technology specialization to build quality application and software solutions that meet the requirements and advises clients on Tetra Tech FIT offerings, strategy, designs, specific technologies, implementation approaches and alternatives / tradeoffs. Lead delivery of technology innovation services, strategic planning activities and business case development. Provide technical oversight for or develop technical estimates created with standards tools, portfolio Work Breakdown Structures, statements of work and industry standard estimating techniques. Architect complete solutions using appropriate portfolio offerings with design elements that allow integration into a client environment. Adhere to appropriate SDF processes, architectural artifact requirements and architectural best practices. Work with client stakeholders to evaluate the solution requirements and support the management and traceability of requirements during the engagement. Work with client technical staff during the requirements definition and implementation to resolve issues. Assume accountability for the infrastructure solution technology components and the successful implementation of the full solution. May include hands-on modeling, design, configuration, installation, performance tuning, prototyping and/or other efforts required to keep the project on a successful track. Review large data sets and provide recommendations and/or reports based on customer requests that could include congressional inquiries Assign and review tasks, mentor junior architects, manage performance feedback, and create development plans consistent with performing the role of team leader or project manager. The successful candidate will have: Bachelor’s Degree and a minimum of 7 + years of relevant IT implementation experience. Experience working in a consulting environment; preferably a Federal consulting engagement. Experience developing and supporting Data Architecture. Experience using Agile software development methodology and practices including JIRA project management software Strong communications skills with the ability to interface with all levels of internal and client project teams. Knowledge on applicable industry standards and frameworks such as ITIL, CoBIT, ISO, TOGAF and FEAF. This position requires a clearance and/or badge that involves an extensive background and credit check Tetra Tech is an Equal Opportunity Employer, and we value workplace diversity. We invite resumes from all interested parties and consider applicants for all positions without regard to race, color, religion, sex, national origin, age, marital status, sexual preference, personal appearance, family responsibility, the presence of a non-job-related medical condition or physical disability, matriculation, political affiliation, veteran status, or any other legally protected status. Tetra Tech is a VEVRAA federal contractor and we request priority referral of veterans for available positions." Statistician / Data Scientist (Forecasting),"St. Louis, MO 63102 (Near North Riverfront area)",Federal Reserve Bank of St. Louis,"Statistician / Data Scientist (Forecasting)-262670 Federal Reserve Bank of St. Louis Primary Location MO-St. Louis Full-time / Part-time Full-time Employee Status Regular Overtime Status Exempt Job Type Experienced Travel Yes, 5 % of the Time Shift Day Job Job Sensitivity Tier II - Credit Check The St Louis Fed is one of 12 Reserve Banks serving all or parts of Missouri, Illinois, Indiana, Kentucky, Tennessee, Mississippi and Arkansas with branches in Little Rock, Louisville and Memphis. The St. Louis Fed’s most critical functions include: promoting stable prices and economic growth, fostering a sound financial system, providing payment services to financial institutions, supporting the U.S. Treasury's financial operations, and advancing economic education, community development and fair access to credit.The Federal Reserve Bank of St. Louis is seeking a Data Scientist for the Treasury Division’s Forecasting and Cash Management Analytics Group. The Treasury Division supports numerous U.S. Treasury applications including the Fiscal Projections System (FPS), a cash and debt forecasting system that assists U.S. Treasury’s Office of Fiscal Projections (OFP) in estimating the Government’s daily cash position, determining marketable borrowing requirements and ensuring total debt outstanding is within statutory limitations. The Forecasting and Cash Management Analytics Group provides OFP analytical support through the development of quantitative forecast models, maintenance of a Long-term Fiscal Forecast and intraday account trends.Responsibilities Utilizes knowledge of forecasting techniques including time-series, temporal disaggregation, and macroeconomic models to create, maintain, and enhance short- and long-term economic forecasting models Maintains and executes forecasting processes that include model calibration, backtesting, and other model validation activities Performs monthly comparative analysis of forecast model results using knowledge of forecast error metrics Produces reports suitable for technical and non-technical audiences that include statuses, explanations of results, and recommendations to improve forecast performance Interacts with Treasury clients to gather business requirements, understand macroeconomic and legislative factors influencing Federal expenditures and revenues, and acquire necessary data to test and integrate the information into forecast models Consults with Treasury clients to review and implement approved changes Qualifications Bachelor's degree in Economics, Statistics, Mathematics, or other quantitative discipline or commensurate experience; Master’s degree preferred 3-5 years statistical modeling experience, preferably in a financial institution or corporate Treasury area Demonstrated proficiency in SAS, Stata, or other applicable statistical software packages Time-series modeling experience using ARIMA, ARCH, GARCH, and/or VAR Demonstrated ability to learn new technical tools and software applications Ability to interact professionally and communicate clearly, both verbally and in writing, with U.S. Treasury, financial institutions and Federal Reserve Bank partners to obtain information, respond to inquiries, analyze documentation and resolve issues Demonstrated strong analytical, organizational, and problem-solving skills and the ability to manage numerous projects and work processes Ability to carry out assignments with minimal supervision as well as work effectively as a part of a team Demonstrated strong customer service skills in providing information to all levels of the organization and customers Ability to comprehend, communicate and apply U.S. Treasury and Reserve Bank policies and procedures Candidates with less experience may be considered at a lower job grade and/or salary. Travel (5%) Position requires US CitizenRanked as a Top Workplace, the Federal Reserve Bank of St Louis is committed to building an inclusive workplace, where employees’ diversity—in age, gender, race and ethnicity, sexual orientation, gender identity or expression, disability, as well as cultural traditions, religion, life experiences, education and socioeconomic backgrounds—are recognized as a strength. Embracing our diversity encourages employees to bring their valued perspectives to the table when generating ideas and solving problems, and promotes an environment where innovation and excellence thrive. Learn more about the Bank and its culture; check out our Careers Site.The Federal Reserve Bank of St Louis is an Equal Opportunity Employer." Data Scientist,"Seattle, WA",Trader Interactive,"Data Scientist for Trader Interactive LLC to work at our Redmond, WA loc. Construct innovative solutions for enhancing consumer experiences by deeply understanding + exploring data. Use advanced quantitative techniques for answering business questions. Create applications of statistical, mathematical, + machine learning techniques to solve business problems concerning pricing models, churn predictions, lead quality, + fraud analysis. Work w/ med-to-lg datasets using R, Python, + SQL. Collaborate w/ a team of engineers + Data Science Manager to integrate statistical + machine learning models into large–scale web products. Communicate insights + recs to audiences of varying technical sophistication. Limited telecommuting may be permitted. May undergo background checks incl drug screen and ref checks. Little domestic travel may be involved. Must have Bach in Comp Sci, Stats, Mathematics, Econometrics, rel Engineering, or other rel quantitative discipline or Business Analytics, Informatics, or other rel Information Sciences field and 3 years’ rel exp in data mining, predictive modeling, machine learning, statistical modeling, large–scale data acquisition, transformation, and cleaning both structured and unstructured data. Also reqs the following skills (3 yrs exp) in: advanced SQL; (2 yrs exp) in: Intermediate R/Python. Alternatively applicants may possess a Master’s in Comp Sci, Stats, Mathematics, Econometrics, rel Engineering, or other rel quantitative discipline or Business Analytics, Informatics, or other rel Information Sciences field and 1 year rel exp in data mining, predictive modeling, machine learning, statistical modeling, large–scale data acquisition, transformation, and cleaning both structured and unstructured data. Also reqs the following skills (1 yr exp) in: advanced SQL; Intermediate R/Python. Any suitable combination of education, training, or experience is acceptable." Data Science,"Jacksonville, FL 32250",AMERICAN IT SOLUTIONS INC,"We are hiring recent graduates who are interested in Java Developer and Dot Net Developer.Below are the details:Location: Across the USAVisa: OPT and H1B Sponsorship Training & Placements for multiple Technologies- References are much appreciatedJob Type: ContractSalary: $50,000.00 to $60,000.00 /year" Data Scientist,"New York, NY","Remedy BPCI Partners, LLC.","DS/ML stack: Languages: Python, Spark, SQL Algorithms: Classifications, Regressions, Neural Networks, Time series, Graphs Infrastructure: AWS (EMR, EC2, S3, etc) Visualization: Tableau or similar What will you do? Develop and/or use various algorithms to build predictive models within a healthcare (e.g. risk of readmission to hospital). Collaborates with business & product teams to understand their problems and goals, develop predictive modeling approaches, statistical analysis, data reports and performance metrics. Performs analyses of structured and unstructured data to solve multiple and/or complex business problems using advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry. Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions. Use strong programming skills to explore, examine and interpret large volumes of data in various forms. Comfortable reading academic oriented literature and collaborating with subject matter experts to inform better predictive models. We are looking for someone with: 3+ year’s professional experience as a data scientist or machine learning engineer 1+ year’s professional experience working with big data and relational databases Strong hands-on modeling experience building predictive models Strong knowledge of advanced applied data science (machine learning, neural networks, etc.), mathematical modeling, computational, statistical, data mining techniques (regression, decision trees, clustering etc.), and dimensionality reduction techniques. Strong experience with data manipulation, analysis and visualization. Strong experience mentoring junior colleagues Advanced degree in physics, applied mathematics, statistics or a related field is preferred Healthcare industry experience is a plus About Signify Health Signify Health partners with leading health plans, healthcare providers, biotechnology and pharmaceutical companies, and technology companies to improve the quality of life by providing comprehensive care where and when it's needed most. In addition, Signify Health delivers software and services that enable payers, employers and at-risk providers to organize and finance healthcare delivery around a patient’s episode of care. With an innovative logistics and clinical workflow technology platform, exhaustive data set, and an unparalleled national clinical network, the company provides tech-enabled care services to vulnerable populations within the routine of their daily lives to improve health and quality of life. Signify Health delivers its services to partners at more than 1,000 healthcare locations nationwide and serves well over one million health plan members each year, providing health risk evaluations, complex care management, outcomes-based pharma services, and specialized medical services in the home and other convenient locations. Signify Health has multiple offices in Texas with additional locations in Connecticut, New York and South Dakota. To learn more, please visit www.signifyhealth.com." Data Scientist / Analyst,United States,Smartlocating Corporation,"Description Looking to work at fun and dynamic software company? We're a growing software company looking for an experienced Data Scientist and Analyst to develop BI solutions to transcend data into actionable insight. As a winner of the 'Houston Best & Brightest Companies to Work for ', we place strong emphasis on offering a fun work-environment, healthy work-life balance of course, fun and challenging work. Responsibilities Analyze large data sets and identify anomalies and relationships. Conducts root cause analysis and recommend solutions to complex business challenges. Develop data-driven decision and predictive models by working with structured and unstructured data sets Develop metrics to measure and tune business processes. Benefits Location Independent. Competitive base salary with large bonus opportunities. Fun and dynamic work culture - see our reviews on Glassdoor Requirements 2+ years of experience with data analysis and business intelligence 2+ years of experience creating KPI dashboards and analytics and is able to tell compelling data-based stories Ability to present findings and translate data into dashboard." Data Scientist,"Albuquerque, NM",Sartorius Corporation,"Data Scientist Data Scientist Sartorius Stedim Data Analytics, a market leader in advanced analytics and provider of Umetrics Suite of Data Analytics Solutions, is on a strong growth path driving new innovative solutions in the field. It currently has an outstanding opportunity for a Senior Data Scientist to drive customer applications, support the Sartorius sales teams and feedback customer needs into the development of new solutions. The incumbent for this key role will have a strong customer focus to help secure innovation and growth from both new and existing customers. What you can look forward to Assisting customers in solving business related problems using advanced data analysis and data driven technologies Supporting implementation of advanced analytics in industry Analyzing large amounts of data and building data driven models Initiating, leading and driving customer projects Training customers on the use of our software Supporting Sartorius sales (pre/post) Supporting marketing & development Performing regular follow up with customers to track satisfaction, secure project momentum and discover additional opportunities Creating technical documents Attending and presenting at conferences, seminars and forums Developing & cultivating strong relationships with external and internal stakeholders Being part of a team of data scientists Skills and experience Minimum a bachelor’s degree in a relevant field (engineering, life sciences, informatics, etc.), master’s degree preferred Minimum two years’ work experience within Biopharma or Pharma Minimum two years’ working knowledge of applied statistics such as MVDA, DOE, MSPC, PAT, QbD, Model Predictive Control (MPC), MMPC, AI/Machine learning Bioprocess knowledge preferred Familiarity with Umetrics Suite of Data Analytics Solutions preferred (MODDE, SIMCA, SIMCA-online, Control Advisor, Active Dashboard) Working knowledge of prescriptive analytics a plus Working knowledge of Python scripting preferred Working knowledge of MATLAB, data historians & control strategy a plus Teaching, consulting and project management experience a plus Excellent communications skills, strong presentation skills a plus Comfortable working independently Comfortable working from home office, willingness to travel (~25%) Strong identification with Sartorius core values: sustainability, openness, enjoyment Driving our future growth requires talented people. Sartorius is a dynamic organization suited to people who want to showcase skills, be recognized for expertise and thrive in a vibrant and innovative environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin. We are also an equal opportunity employer of individuals with disabilities and protected veterans. Please view equal employment opportunity posters provided by OFCCP here https://e-verify.uscis.gov/esp/media/resourcesContents/EverifyPosterEnglish.pdf https://e-verify.uscis.gov/esp/media/resourcesContents/EverifyPosterSpanish.pdf https://e-verify.uscis.gov/esp/media/resourcesContents/WebBPPOSTERRtoWEnglishversion.pdf https://e-verify.uscis.gov/esp/media/resourcesContents/WebBPPOSTERRtoWSpanishversion.pdf Interested? Driving our future growth requires talented people. Sartorius is a dynamic organisation suited to people who want to showcase skills, be recognised for expertise and thrive in a vibrant and innovative environment. To find out more about Sartorius as an employer visit us on Sartorius Careers Become part of our global team. Reference Number R1958 Job Begin March 13, 2020 Employment Mode Full time Position Regular Functional Area Research and Development Location Ann Arbor (United States of America), Albuquerque (United States of America), Arvada (United States of America), Bohemia (United States of America), Fremont (United States of America), New Oxford (United States of America), Cambridge (United States of America), Home Office United States of America (United States of America)" Data Scientist,"Boston, MA",Reputation Institute,"Office Location| Boston, US Reputation Institute helps leaders at the world's largest companies build credibility with the people that matter most —by delivering data-driven insights about how they are truly perceived. We do this with RepTrak®, an unrivaled technology that provides actionable insights encompassing industry, competitors, and company-level analysis. We are looking for a highly qualified and motivated Senior Data Scientist to work with challenging real world problems on big temporal data. As part of the Product Methodology team, you will be responsible for developing pseudo-real time solutions to deal with challenging real-world problems on big temporal data, collaborating in a cross-functional team, including data scientists, software engineers, and project managers. Professional Qualifications A Ph.D. in Computer Science, or Mathematics, or Physics. Excellent knowledge of Supervised methods (Classification, Regression) and Unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction) Excellent knowledge of Python and SQL Knowledge of the most important Python libraries for Data Analysis and Machine Learning (scikitlearn, Pandas, matplotlib, Numpy, Scipy) Experience with distributed version control systems (Github and/or Bitbucket). Experience with Deep Learning (Recurrent Neural Networks, Convolutional Neural Networks, and Autoencoders) Experience with Keras or PyTorch Able to find creative solutions to interesting problems Curious with a constant desire to learn and collaborate Compensation ------------ This role encompasses a compensation package including a competitive salary and a semi-annual performance bonus plan. RI offers a full benefits program including company holidays, paid vacation, and more global perks like free books, free diapers for newborns, gym membership and more! Reputation Institute is committed to diversity in the workplace and is an Equal Opportunity Employer. For more information, please visit our website at www.reputationinstitute.com ( http://www.reputationinstitute.com ) or check us out on social media." Statistician,"Newport Beach, CA 92660",Wave Neuroscience,"Statistician – Will be responsible for data management and analysis for clinical data that is collected as part of clinical practice and clinical studies/trials. Will work to ‘data mine’ in order to produce reports of efficacy of treatments we provide for a number of indications (autism, PTSD, TBI, depression, tinnitus, plantar fasciitis, etc.). Will support the generation of journal/conference papers, providing statistical analysis (e.g., student-t test, ANOVA) of data to generate tables, charts, etc. Also, will support ongoing clinical studies by organizing data and creating reports, tables, figures, etc. to establish efficacy. This position will involve coordination with a number of employees, including the clinical team, doctors, coordinators, technicians, and clinical sites to ensure data collection is complete and accurate. The position will support patent generation for inventions related to the treatment protocol and system. The position requires a familiarity with SPSS and other statistics software packages.Job Types: Full-time, ContractSalary: $32.00 to $35.00 /hourExperience:statistician: 2 years (Preferred)Education:Bachelor's (Required)Contract Renewal:LikelyFull Time Opportunity:YesWork Location:One locationBenefits:Health insuranceDental insuranceVision insurancePaid time offSchedule:Monday to FridayNo weekends8 hour shift" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Biotech Laboratory Technician/Data Analyst Updated 2/28/2020,"Los Angeles, CA 90034 (Palms area)","Laragen, Inc","Laragen, Inc is a biotech company specializing in genomics services. For more than 20 years, we have served academic institutions and private industrial sectors worldwide.We are currently looking for a senior laboratory technician/data analyst. Main job responsibility is genotyping data analysis, reporting results to clients, customer services, receiving samples, setting up PCR reactions, DNA extraction, troubleshooting, lab maintenance, developing SOPs and other lab documents.Required/Preferred skills: - A BA degree or higher in biology with 5+ years related experience in biotechnology- Able to multi-task and able to prioritize responsibilities- Must pay attention to detail.- Extensive computer and MS Excel experience- Extensive experience on real time PCR(qPCR) and genotyping- Strong pipetting skill and molecular biology techniques.- Able to recognize trends and able to be focused and observant- Able to work under pressure and keep up with a fast-paced environment- Can handle a high volume of sample processing. Industry experience preferred- Must be a team player. Good interpersonal skills- Good communication and customer service skills- Knowledgeable with Python is a plus.- Experience with fragment analysis software such as GeneMapper is a plusBenefits: - Medical, Dental, Vision, Life Insurances- 401K, Profit Sharing, Defined Cash Balanced Plan- Paid Time Off, Sick Leave- Bonuses- Flexible hoursJob Type: Full-timeSalary: $18.00 to $26.00 /hourExperience:Industrial Biotech Laboratory: 2 years (Required)PCR: 5 years (Preferred)Education:Bachelor's (Required)Location:Los Angeles, CA (Required)Work authorization:United States (Required)Additional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offOtherThis Job Is Ideal for Someone Who Is:Dependable -- more reliable than spontaneousDetail-oriented -- would rather focus on the details of work than the bigger pictureHigh stress tolerance -- thrives in a high-pressure environmentThis Company Describes Its Culture as:Detail-oriented -- quality and precision-focusedOutcome-oriented -- results-focused with strong performance cultureTeam-oriented -- cooperative and collaborativeSchedule:Monday to FridayOvertime" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." "Data Scientist, Recommendations","New York, NY 10011 (Greenwich Village area)",Tapestry,"Explore the possibilities across our global house of brands. Defined by inclusivity rather than exclusivity, Tapestry embraces the exploration of individuality and invests in helping you grow personally and professionally. Every individual in our global house has the opportunity to make an impact, learn and be part of our growing and unique story. At Tapestry, we have the freedom to express ourselves and run with our best ideas across Coach, Kate Spade New York, and Stuart Weitzman. We share a profound belief in both our individual and collective potential, and know that with hard work and dedication, anything is possible. Primary Purpose: This Data Scientist will join our ongoing customer and product recommendation initiatives focused on improving the relevancy, response rate, and customer experience of our recommendation engines globally across all brands. You will be responsible for building and maintaining relationships with our business partners, developing and maintaining models serving recommendations, and expanding the scope and reach of data-driven customer recommendations. The successful candidate will leverage their experience in Data Science to... Collect, clean, integrate, analyze, and visualize internal and external data on customer and product characteristics to identify opportunities and guide recommendation strategy Develop customer-level product and promotion recommendations for all Tapestry brands and regions Deploy recommendation models as batch and real-time API processes integrating with our internal AWS environment and external partners Partner with various Tapestry business teams including Ecommerce, CRM, and Marketing to identify the best opportunities and the right solutions The accomplished individual will possess... Experience developing and deploying recommendation engines Python and SQL coding skills 1+ years of experience as a Data Scientist BA/BS in a technical field (Computer Science, Statistics, Data Science, etc.) An understanding of Agile workflows and product development cycles The outstanding individual will possess... A Masters or PhD in a technical field Expertise in AWS, Azure, and/or GCP Experience working with non-technical teams and business partners Experience working with containerized environments (e.g. Docker) Knowledge of retail and an interest in fashion Our Competencies for All Employees Drive for Results: Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results. Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect. Creativity: Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings. Interpersonal Savvy: Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably. Learning on the Fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything. Perseverance: Pursues everything with energy, drive, and a need to finish; seldom gives up before finishing, especially in the face of resistance or setbacks. Dealing with Ambiguity: Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn’t upset when things are up in the air; doesn’t have to finish things before moving on; can comfortably handle risk and uncertainty. Our Competencies for All People Managers Strategic Agility: Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans. Building Effective Teams: Blends people into teams when needed; creates strong morale and spirit in their team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team. Managerial Courage: Doesn’t hold back anything that needs to be said; provides current, direct, complete, and “actionable” positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary. Tapestry, Inc. is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant’s or employee’s qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law. #LI-JW1 Visit Tapestry, Inc. at http://www.tapestry.com/" Product Data Scientist,"Toronto, OH",Coffee Meets Bagel,"Coffee Meets Bagel Coffee Meets Bagel's mission is to inspire singles to share and connect authentically. The app curates quality matches with fuller profiles that result in real conversations. Globally, CMB has generated millions of real dates and thousands of lasting relationships. Coffee Meets Bagel was named one of the Top 10 Dating apps by Time Magazine and the Best Dating App for Women by Refinery29. It has also been voted the #1 recommended dating app for singles looking for relationships. Job description Each day, our users visit our app with the hope of connecting authentically with someone. These interactions generates millions of data points that can be used to help us better understand our customers’ experiences. We need you to ask and answer the questions that will transform this data into a better understanding of what our customers find delightful and what they find painful so that you can help drive changes that further our vision of helping singles form meaningful connections with other amazing singles! The Senior Product Analyst will be responsible for partnering with our product and growth teams to provide the facts needed to make better decisions and a well thought point of view to help push our products and services to better serve our customers. You will be responsible for building a strong understand of our ecosystem, working with the product team to determine which projects are the most important, and being willing to use the right tool (a scripted model, a dashboard, a presentation) to find and explain the relevant and timely findings that help us operate better. Responsibilities Work cross-functionally with product, design, finance, and engineering teams to provide data-driven insights that will help define the product & marketing roadmap and drive significant increase in core business KPIs (growth, revenue, engagement) Create internal dashboards to monitor the health of the product and business KPIs (growth, revenue, engagement). Deliver ad-hoc analyses and reports to support business needs, investigate, triage and resolve metrics-based issues without heavy guidance Assist in feature development from ideation to execution, including helping with user research, designing and analyzing A/B tests, and running deep analysis of feature performance post launch Create and share compelling presentations that motivates and inspires the team to build with conviction When necessary, build models in R, Python, or other systems that help us better measure and understand the results of experiments or user flows. Qualifications Bachelors and 3+ years post-collegiate work experience as a product/marketing analyst or data scientist Experience designing and reading out experiments Expert level in SQL & business intelligence tools (e.g., Mode, Tableau, etc) Competency in R, Python, or another scripting language Strong analytical skills, with experience solving ambiguous problems using data Ability to analyze data and condense data to tell a persuasive story Proven ability to effectively communicate with cross functional teams Self-starter, with ability to thrive in a dynamic, fast-paced environment, drive change through influence, and collaborate effectively with a variety of cross-functional stakeholders. Excited and hungry to try new tools and processes to achieve results. Passionate about building delightful products for our customers." Data Scientist - Customer Success Team,"San Diego, CA 92127 (Rancho Bernardo area)",Teradata,"Location: San Diego, CA As a Data Scientist Senior Associate, you will be responsible for supporting Teradata’s Customer Success team by helping us leverage the power of data to unlock new insights about Teradata’s business operations. Your primary role will be to apply your expertise in data mining, statistical analyses, and predictive analytics to better align our operations to our corporate strategy. This is a new role within the organization so we are seeking an individual who can help us better define the role and best practices around the use of predictive analytics. You must be able to work cross-functionally to conduct analyses that satisfy business requirements and meet the needs of several stakeholders across Field Sales, Sales Ops, Marketing, Product, Finance, and others. This role reports directly to the head of GTM Strategy & Process team. Responsibilities: Support the development of strategies that align to the long-term goals and visions of Teradata Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Mine large amounts of information to discover and interpret trends and patterns Build custom predictive models and machine-learning algorithms to optimize business outcomes Combine models through ensemble modeling Present information using data visualization techniques Work cross-functionally across the organization to implement models & provide ongoing monitoring Examples of work include conducting Natural Language Processing or Sentiment Analyses on unstructured data sets Requirements: Bachelor’s degree plus at least 5-7 years of relevant work experience required Strong experience with:Statistics: exploratory analysis, regression, model creation Data mining: Anomaly detection, signals & patterns analysis Data modeling: Machine learning, decision trees/forests, clustering analysis Text analysis: Natural language processing, sentiment analysis Experience using statistical computer languages and analytic tools ( ex. Hadoop, Map Reduce, Spark, Aster, Python, java, SQL, R, Data Profiling/BI tools. etc.) to manipulate data and draw insights from large data sets 3-5+ years experience in the Analytics ecosystem Time management & prioritization – ability to prioritize and manage multiple initiatives simultaneously Strong attention to detail, with strong written & verbal communications Preferred: Master’s or PhD in Statistics, Mathematics, or other quantitative fields Previous experience with Teradata technology is ideal What we offer you! The newly renovated Teradata HQ in San Diego boasts one of the best office spaces the city has to offer, including, a state-of-the-art gym with classes daily, a juice bar, coffee shop, on-site cafeteria, panoramic city and mountain views, basketball courts, ample outdoor sitting space, and so much more! We offer comprehensive benefit programs, unlimited time-off, 401k matching, and an employee stock purchase program. The opportunity to work with brilliant people in an environment of significant transformation where everyone has the freedom to drive change and make an impact. Be a part of the world's leading company in a space that will define our future!" Data Scientist AI-ML,"Hartford, CT",InterSources Inc,"Years of Experience: 10 – 15 yearsEducation: PhDJob Description: · A graduate with a Bachelor’s Degree in Computer Science or Engineering Discipline, Data Science or equivalent training and experience.· Concentrations in AI/ML preferred.· Must have 3-7yrs Experience on AI/ML (Artificial Intelligence & Machine Learning).· Preferable Expertise in leveraging capabilities of AI & ML with medium to large customer data in the Insurance Domain.· Expertise in the full product life cycle from idea generations on real customer use cases, building/leading the proof of concepts, and finally to implement for very large scale customer base.· Deep technical experience working with technologies related to artificial intelligence, machine learning and/or deep learning.· Solid grounding in statistics, probability theory, data modeling, machine learning algorithms, and software development techniques and languages used to implement analytics solutions.· 3+ years of deep experience with AI/ML platforms, technologies, Frameworks (e.g. Sci-kit Learn, TensorFlow, Apache MXnet, Theano, Keras, CNTK, Spark, Caffe, Open NLP, Pandas, etc.)· Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition.· Strong expertise with Classification & Regression models like Random Forest, Logistic Regression, KNN algorithm, etc.· Proficient with one or more general-purpose programming languages like Python, Java and other important ML and analytics languages (e.g. R, Scala).· Experience using and adapting to new technologies.· Scaling out ecosystems in the ML/AI space.· Familiar with the ecosystem of software vendors in the AI/ML space.· Ability to think strategically about Customer experience, business, product, and technical challenges.· Good Analytical skills and ready to take up the challenge as an independent resource.· Good Knowledge of Mathematics and Statistics will be nice to have.Job Type: Full-timeExperience:AI/ML: 3 years (Preferred)Apache MXnet: 3 years (Preferred)Sci-Kit learn: 3 years (Preferred)Theano: 3 years (Preferred)TensorFlow: 3 years (Preferred)Keras: 3 years (Preferred)" Data Scientist,"Washington, DC 20535 (Penn Quarter area)",Federal Bureau of Investigation,"Position: Data Scientist, GS-13/14 Division: Inspection Division Unit: Compliance & Mitigation Location: Washington, D.C. Working Hours: 8:00am - 4:30pm (flexible) Salary: GS-13, $102,663-$133,465.00 GS-14, $121,316-$157,709.00 Full Performance level: GS-14 Number of Positions Available: 1 Duration: Full Time/Permanent Additional selections may be made from this announcement to fill positions within the same division when the position includes substantially the same duties, responsibilities, and qualifications. Unit Description Compliance and Mitigation Unit (CAMU) ensures compliance and risk mitigation through audits and inspections of high risk program areas. CAMU proactively mitigate risks, and determines best practices associated with FBI enterprise programs. CAMU takes a collaborative, consultative approach to ensure compliance by evaluating and assessing regulations/policies, case management/investigations, training and communications, business processes, and governance/leadership to mitigate risks within FBI programs. Key RequirementsMust be a U.S. citizen Must be able to obtain a Top Secret clearance Major Duties GS-13:Develops and maintains proficiency in Information Technology databases and programs in order to perform data normalization, data analytics, trend analysis, and data exploitation to facilitate identification and visualization of compliance errors.Uses advanced knowledge of network technology, knowledge of computer languages, and other technical skills to automate manual data input tasks.Designs data management solutions to maintain and track the status of audit observations. Facilitates follow-up on recommendations/instructions to ensure appropriate and timely actions are taken to mitigate risks or correct compliance errors.Develops report representations to present complex data topics.Collects, organizes, analyzes, and disseminates information with attention to detail and accuracy. GS-14: In addition to the above, the selectee: Uses exceptional oral and written communication skills to interact with others, prepare reports, and make presentations to management.Ability to work with minimal supervision in the retrieval, normalization, and analysis of large quantities of data. Consults with others to clarify data needs and identify appropriate data sources.Plans, designs and develops methodologies to evaluate data and determine relevant patterns Qualifications and Evaluations Please make sure your specialized experience/requirement(s) can be identified in your resume. Applicants must meet the qualification requirements by the closing date of this announcement. Your application will be evaluated and rated under the FBI’s Candidate Rating Procedures. Your resume and supporting documentation will be used to determine whether you meet the job qualifications listed in this announcement and will be compared to your responses to the online assessment questionnaire. High self-assessment in the vacancy questions that is not supported by information in your resume, and/or supporting documents may eliminate you from Most Competitive status. If you are deemed Most Competitive, you will be referred to the selecting official for further consideration. Specialized Experience (SE): GS-13: Applicant must possess at least one (1) year of specialized experience equivalent to the GS-12 grade level. SE is defined as follows:Experience evaluating data by utilizing range of mathematical tools, models, methods and techniques. Experience working with data analysis and manipulation, data cleansing and segmentation techniques. Experience acquiring, processing and measuring data for research purposes. GS-14: Applicant must possess at least one (1) year of specialized experience equivalent to the GS-13 grade level. SE is defined as follows:Experience managing projects from inception to completion including: development of project plans, milestones, and assessment of project results. Experience establishing and maintaining liaison with FBIHQ divisions to assess data requirements and design programs, systems, and processes to maintain, manipulate, and exploit data. Positive Education Requirement This position has a specific education requirement; all applicants must verify completion of this basic educational requirement by submitting a copy of their college transcripts by the closing date of the vacancy announcement. BASIC REQUIREMENTS: ALL APLICANTS MUST MEET THE BASIC REQUIREMENTS BELOW: A. Degree: Mathematics, Statistics, or Actuarial Science. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR B. Combination of education and experience: Courses equivalent to a major field of study as shown in paragraph A above, plus additional education or appropriate experience. Education completed in foreign colleges or universities may be used to meet the above requirements provided you can show foreign education is comparable to that received in an accredited educational institution in the United States. YOU MUST SUBMIT A COPY OF YOUR TRANSCRIPTS TO DOCUMENT THAT YOU HAVE MET THE EDUCATION REQUIREMENT. UNOFFICIAL TRANSCRIPTS WILL BE ACCEPTED IN THE APPLICATION; HOWEVER, OFFICIAL TRANSCRIPTS WILL BE REQUIRED PRIOR TO BEGINNING EMPLOYMENT. Required Documents To apply to this position, interested applicants must provide a complete application package by the closing date. The following items are REQUIRED:Your resume, specifically noting relevant work experience and associated start and end dates. A complete assessment questionnaire. College transcripts. All applicants will be rated on the following Competencies:Advanced Mathematical Reason Algorithms Analytic Thinking Data Analysis Project Management Technology Application How to Apply For detailed instructions related to applying, uploading documents, withdrawing an application or updating your application, please review instructions on" Data Analyst/Data Scientist,"Portland, OR 97202 (Hosford-Abernethy area)",Cascade Data Labs,"Cascade Data Labs is a boutique consulting agency with end-to-end experience helping Fortune 500 companies form and execute their analytics strategy and infrastructure. We believe strongly that the difference between analytics success and failure comes down to practitioner-level understanding of the “details” presented across a variety of disciplines; data collection, organization, and processing in a rapidly evolving technological landscape, analytical inference on multi-dimensional data sets, and the communication of findings to business stakeholders in visually compelling ways.Ideal candidates will have strong quantitative backgrounds and analytical discipline. While they will have some demonstrated ability to write code, they will not have learned programming languages for the sake of building their resume, but rather as a means to express their intellectual curiosity and analytical voice. Cascade Data Labs will provide a platform and training to help them reach their full potential.We are seeking candidates with all levels of experience; intern to senior-levelResponsibilities:Analyze a collection of raw data sets to create meaningful impact to large enterprise clients while maintaining a high degree of scientific rigor and disciplineBuild data pipelines to aid analysis and/or reportingCommunicate findings in an intuitive and visually compelling wayQualifications:Required:Bachelors or Masters in Business Analytics (or related), Mathematics or Statistics - if you are currently enrolled in a degree program please include your GPA in your resume or cover letter)Proficiency (can execute data ingestion to insight) in programmatic language such as SQL, R, Python (Pandas/Scipy/Numpy) OR at the very least, mastery level of Microsoft ExcelPreferred (candidates are not expected to possess all of the below skills but should possess a demonstrated aptitude and excitement to learn more of them):Proficiency in visualization/reporting tool such as Tableau, Spotfire, Qlikview OR proficiency in programmatic visualization library such as R ggplot2, Python matplotlib/seaborn/bokeh, Javascript D3Proficiency in Microsoft Powerpoint or KeynoteProficiency scripting in UNIX environmentExposure to big data environment and tools such as Hive, Impala, Pig, Spark, etc. Familiarity with AWS services a huge plusFamiliarity with machine learning techniques and libraries along with the ability to appropriately apply them to various business questionsJob Type: Full-timeExperience:Spark: 1 year (Preferred)R: 1 year (Preferred)SQL: 1 year (Preferred)Python: 1 year (Preferred)" Data Scientist - Strategic Data Science,"New York, NY","Two Sigma Investments, LLC.","Two Sigma is a different kind of investment manager. Since 2001, we have used data science and technology to derive insights to forecast the future and discover value in markets worldwide. Our team of scientists, technologists and academics looks beyond traditional finance to understand the bigger picture and to develop creative solutions to some of the world’s most difficult economic problems. Our work spans markets and industries, from insurance and securities to private investments and new ventures. The Strategic Data Science team’s mission is to unlock new high-potential revenue streams by harnessing Two Sigma’s data, technology and modeling capability into a scalable and portable prediction engine and monetizing this engine into new investment products or non-investment business lines. In particular, the Strategic Data Science team is working on building a systematic and data-driven private investment focused modeling environment, with application to investment products across the Two Sigma businesses. The team’s ambition is to leverage Two Sigma’s accumulated know-how, proprietary data-science platform and scientific investment approach in highly fragmented, illiquid and unstructured markets. By leveraging these tools, we can develop a meaningfully differentiating investment process in an industry dominated by institutions relying on local knowledge, personal networks and incomplete information. The Strategic Data Science team is seeking a data scientist to join our growing team and contribute to building the initial data and modeling platform used to guide our team’s investment process and asset selection. With statistics, economics, and computation at the heart of all our work, we will be most successful when data science is used to empower our team to make data-driven, evidence-based investment decisions that scale quickly. Our mission is to give our team a significant competitive edge in this alpha-phase of the initiative, while also building a platform that scales and provides an enduring advantage: the world’s first data-driven private asset prediction engine. You will take on the following responsibilities: Independently generate and articulate hypotheses on what may affect private markets, asset valuations, and private deal processes Leverage existing data sets, as well as identify and trial new data sets, in order to interrogate yours — and the team’s — hypotheses Present your work internally to the working teams, other modeling teams, members of Two Sigma’s leadership team and various Two Sigma businesses Spend time with private market partners to better understand how it works, how software is used, and what data is critical to industry practitioners daily workflows Develop a deep understanding of private markets You should possess the following qualifications: Strong independent development of predictive models in common open-source statistical programming languages Experience working with high-dimensional and sparse datasets, as well as recognition of when and how to combine such datasets to enhance their value Familiarity with time-series and spatial analysis methods and software, particularly mapping tools Desire to work in a dynamic and evolving research and development environment, where you may be working on several parallel research tracks and will be expected to switch context frequently Strong communication skills, with an emphasis on the ability to understand your audience and flexibility to communicate complex topics to non-experts Two Sigma employees enjoy the following benefits: Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms Learning: Tuition reimbursement, conference and training sponsorship Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics" Data Scientist,"Calabasas, CA 91302",Anchor Loans LP,"Anchor Loans is the nation’s leading provider of quick bridge funding to fix-and-flip investors—originating more than 16,000 loans totaling over $7.25 billion since its founding in 1998. Anchor’s experience, relationships and proprietary Fintech technology platform set it apart from other lenders. At the core of our company is our proprietary technology. We are seeking a Data Scientist to join the quickly expanding Technology Operations team. The goal of the department is to solve business needs through our proprietary technology solutions. We are constantly improving processes and efficiencies for our operations staff. The primary focus of this position is to be an integrated quality resource for project teams on our biggest products. Anchor is an entrepreneurial company and this position will have significant impact on the future of the business and its technology solutions as we grow and expand our operations nationwide. Responsibilities Duties include but are not limited to: Understand business stakeholders' needs and translate those into a data insights program with solutions for each stakeholder Deliver on data analytics and insights by planning and performing end-to-end analysis: including aggregating and processing data, exploring data, building and validating predictive models, and presenting to business Analyze our existing data model/structure and provide recommendations to the Tech team for optimization to support our data strategy Design and implement statistical algorithms and predictive analysis Explain data analytics and data science findings and machine learning models to internal and external stakeholders Work with Data Analysts, Product Managers and Software Engineers to gather data insight requirements, set goals and influence the product roadmap Minimum Qualifications B.S. or M.S. in computer science, Mathematics, Statistics, Physics, Economics or equivalent experience 4+ years of industry experience in predictive analysis and modeling, data analysis and science 3+ years of industry experience in data analytics Knowledge of data engineering, database architecture and ETL process Experience building ML models Proficient in either Python and R Experience using ML libraries Knowledge of machine learning frameworks and toolsets Experience writing and optimizing SQL Experience using data visualization tools Experience presenting data findings Preferred Qualifications PhD in computer science, Mathematics, Statistics, Physics, Economics, Bio-Engineering/Science field 6+ years of industry experience in predictive analysis and modeling, data analysis and science 4+ years of industry experience in data analytics Proven ability to tackle business problems with data science solutions Expert level SQL experience; deep experience with statistical packages such as Python and R. Ability to develop analytic plans for data modeling process Ability to accurately determine correlations Experience with AWS data technologies such as Redshift, S3, Data Pipeline Experience with MS PowerBI Skills and Competencies Ability to think critically Ability to translate business problems into data questions, create solutions and drive results Ability to aggregate and analyze data from multiple data sources and build a holistic view Ability to build clear visualizations to explain complex ideas and analysis result to executives and business unit leaders Ability to provide guidance to other program and project managers Ability to resolve conflicts and negotiate agreement Ability to proactively identify impediments in project/program delivery and craft solutions" Data Scientist,"Seattle, WA",ERNIESYS,"Number of openings | 01 Job ID | 2019-1014 Job Locations | US-WA-Seattle Position Type | Full Time/Contract Posted Date | 25/02/2019 How would you like to work in a highly dynamic Health care startup? Erniesys is looking for a Data scientist for a Healthcare startup client. The data scientist will be instrumental in advising business strategy and pricing models through extensive analysis of healthcare claims data. Must Haves Requirements A BS (preferably an MS or PhD) in a quantitative discipline (such as computer science, mathematics, physics, statistics, or a related field). Several years of experience using quantitative methods to solve complex, meaningful analytical problems. Ability with programming languages (such as Python, Ruby, Java) and other technologies to do rapid design, prototyping, analysis, simulation of, and experimentation with, advanced algorithms and applications. Understanding of applied mathematics and statistics. Passion for improving the lives of our users. Working with the massive datasets, information, and knowledge being collected to help drive innovation and enhance user experience. Making recommendations on the business direction to various stakeholders within the company. Managing rapid business growth by developing and executing data analyses. Developing, implementing, and maintaining tools and reporting methods to support the company’s business objectives." Data and Machine Learning Scientist,"Thousand Oaks, CA 91362",Amgen,"Career Category Scientific Job Description Amgen is dedicated to discovering transformative medicines that address the leading causes of death and disability. We are seeking highly qualified data scientists to join our research team to apply data science expertise to develop models and algorithms in collaboration with multidisciplinary teams of computational and experimental scientists across potentially broad discovery areas of research. Key responsibilities include: Developing and implementing cutting edge machine learning and other data science solutions. Collaborating with other Amgen computational and experimental scientists to develop and optimize predictive models that can directly impact the discovery pipeline. Basic Qualifications: Doctorate degree OR Master’s degree and 4 years of Data Science experience OR Bachelor’s degree and 6 years of Data Science experience Preferred Qualifications: PhD in in Computational Sciences, Applied Math, Statistics or related quantitative field Strong track record of research accomplishments including three or more scientific publications or conference presentations Experience and enthusiasm in applying data science and machine learning to molecular sciences or drug discovery Experience in advanced data science techniques and tools, machine learning, supervised/unsupervised learning, etc. Experience with UNIX, Python, C++, TensorFlow, PyTorch, Keras Strong communication skills and enthusiasm for working in an interdisciplinary team environment Join Us If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of biotechnology with the top minds in the field, you'll find it at Amgen. Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, kidney disease, rheumatoid arthritis and other serious illnesses. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other but compete intensely to win. Together, we live the Amgen values as we continue advancing science to serve patients. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. Amgen will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Language Researcher / Data Analyst,"Phoenix, AZ",TransPerfect Translations Inc.,"Language Researcher / Data Analyst We are looking for speakers of several languages to join us on a new innovative and interesting job to improve Artificial Intelligence (i.e. as speech or text recognition, input methods, keyboard/swipe technology or other areas of human-machine interaction related to languages).As Transcriptionist for the AI Division, you will perform some or all of the following tasks: Transcription (create written copies of live speech or dictated audio) Data labeling (Identify and label the purpose of what you transcribe) Data classification (categorize the job resulted considering different criteria). This job requires a high level of independence, adaptation, and accuracy. Love to detail helps succeed in this role! TransPerfect Is More Than Just a Job… Our greatest asset is our people, and nothing is more important to us than ensuring that everyone knows that. Each of our 90+ offices has its own individual identity, and each also has its own unique rewards. Native Level Speaker of one of the following languages: Italian, Portuguese, Dutch, Finnish, Danish, Norwegian, Swedish, German, Turkish, English, Chinese, Japanese, Spanish and French. Are of legal age (18+). Great reading and comprehension skills in English. All the training material and guidelines provided are available in English only!. Ability to meet daily KPI's. Excellent time management Ability to work independently Flexibility, ability to adapt and react to changing priorities quickly and efficiently Ability to track, analyze, and report issues Full-time availability Availability to work from our Phoenix office. Ability to understand and implement feedback. Find comfort in detail-oriented work." Data Scientist,"San Diego, CA",The RiverStone Group,"Job Title Data Scientist Summary As a key member of our team at RiverStone, you will be collaborating with different engineering and operations teams and leading development machine learning solutions for a variety of tasks and projects. You will be responsible for delivering projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment. You will also perform ad-hoc statistical and data science analyses. Our ideal candidates are smart, creative, analytical thinkers with attention to detail. You will also work closely with data engineers, developers and modeling analysts to generate seamless business solutions. You will be expected to present results of analyses to a wide range of audiences including executives. Essential Functions Collaborate with multiple business and information technology units to understand company needs and propose solutions Implement new statistical or other mathematical methodologies as needed for specific models or analysis. Organize and synthesize data into actionable business decisions, focused on insights. Related Functions: Establishes and maintains effective working relationships, both internally and externally Maintains and communicates on a regular basis the progress against department goals/objectives and priorities to Director of Data Science and Innovation Compile, review, verify and analyze related external and internal insurance data including completed models for benchmarking of results Organizational Develops creative ideas and solutions to real time business problems and/or business opportunities; takes reasonable, calculated risks even if failure is possible. Empowers self and teammates to continuously improve RiverStone’s business processes/ systems and develops and escalates ideas and solutions. Consistently delivers superior customer service to both internal and external business partners. Demonstrates alignment with RiverStone’s Commitments. Prioritizes and organizes work in self-directed manner. Attains and maintains knowledge of assigned department. Performs other duties as required, including supporting and coordinating with other department colleagues. Required Skills Ability to tell meaningful stories with data. Minimum four years of proven hands-on experience applying machine learning techniques to build models integrated into applications. Strong working knowledge of machine learning/data mining algorithms (deep learning, classification, clustering, etc), experience with Image Analysis/Computer Vision is a plus. Understand algorithms (be able to tweak them when needed) as well as infrastructure that enables fast iterations Strong software development skills with proficiency in Python and R. Experienced user of libraries such as scikit-learn, scipy, R, NetworkX, Spacy, and NLTK. Good understanding of deep learning algorithms and workflows, and experience with CNTK, Caffe, MXNet or TensorFlow is a plus. Experience in Hadoop, Spark, Hive, Cassandra, Kafka and NoSQL databases is a plus Familiarity with SQL programing Experience 3+ years’ experience applying machine learning techniques to real business problems. Property & Casualty Insurance experience encouraged, but not required Required Education Master of Applied Math, Machine Learning, Data Science, Statistics, Operations Research or related fields Supervisory Role None Travel Minimal, less than 10% Work Environment / Physical Demands This position operates in a professional cubicle based collaborative environment and must have the ability to timely produce thorough, accurate work with many competing demands, deadlines, and distractions. The position uses standard equipment such as phones, computers, copiers/printers and filing cabinets. Noise level is moderate. While this is a largely sedentary role, the employee is regularly required to talk or hear; stand; walk; bend; use hands to handle or feel; and reach with hands and arms. On occasion the individual must be able to lift and transport boxes weighing up to 30 pounds. Other Duties (Disclaimer Statement) RiverStone retains the right to change or assign other duties to this position as needed, OR Other duties or responsibilities may change or be assigned as needed. Core Competencies Learning on the Fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything. Problem Solving: Uses rigorous logic and methods to solve difficult problems with effective solutions; probes all fruitful sources for answers; can see hidden problems; is excellent at honest analysis; looks beyond the obvious and doesn’t stop at the first answers. Process Management: Good at figuring out the processes necessary to get things done; knows how to organize people and activities; understands how to separate and combine tasks into efficient flow; knows what to measure and how to measure it; can see opportunities for synergy and integration where others can’t; can simplify complex processes; gets more out of fewer resources. Sizing Up People: Is a good judge of talent; after reasonable exposure, can articulate the strengths and limitations of people inside or outside the organization; can accurately project what people are likely to do across a variety of situations. Ethics and Values: Adheres to an appropriate (for the setting) and effective set of core values and beliefs during both good and bad times; acts in line with those values; rewards the right values and disapproves of others; practices what he/she preaches. Technical Learning: Picks up on technical things quickly; can learn new skills and knowledge; is good at learning new industry, company, product, or technical knowledge – like internet technology; does well in technical courses and seminars. Managing Vision and Purpose: Communicates a compelling and inspired vision or sense of core purpose; talks beyond today; talks about possibilities; is optimistic; creates mileposts and symbols to rally support behind the vision; makes the vision sharable by everyone; can inspire and motivate entire units or organizations. Creativity: Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings. Managing and Measuring Work: Clearly assigns responsibility for tasks and decisions; sets clear objectives and measures; monitors process, progress, and results; designs feedback loops into work." Data Scientist - Intelligence,"Washington, DC 20003 (Navy Yard area)",LOCKHEED MARTIN CORPORATION,"The coolest jobs on this planet… or any other… are with Lockheed Martin Space. At the dawn of a new space age, Lockheed Martin is a pioneer, partner, innovator and builder. Our amazing men and women are on a mission to make a difference in the world and every day we use our unique skills and experiences to create, design and build solutions to some of the worlds’ hardest engineering problems. Our culture encourages employees to dream big, perform with excellence and create incredible products. We provide the resources, inspiration and focus and if you have the passion and courage to dream big, we want to build a better tomorrow with you. The Defense Intelligence Agency (DIA), Directorate for Analysis (DI) requires support for the Analytic Modernization Team (AMOD). The agile development methodology provides a pathway for the DIA to introduce a new form of low-cost, high impact software development and product improvement. Contractors will provide the DIA and the Defense Intelligence Enterprise (DIE) worldwide coverage for intelligence analysis and analytic enabling services through timely, objective, and cogent military intelligence. A Data Scientist conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. Duties typically include: creating various ML-Based tools or processes, such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. Should be skilled in data visualization and use of graphical applications, including Microsoft Office and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python or SQL; statistical analysis; and data mining algorithms. Should have prior experience with large data Multi-INT analytics, ML and automated predictive analysis. Position is likely at Bolling AFB, Washington DC but may be in another metro DC location. To promote the sharing of ideas, Lockheed Martin fosters an inclusive work environment that encourages differences and big-picture thinking. Our employees play an active role in strengthening the quality of life where we live and work by volunteering more than 850,000 hours annually. Here are some of the benefits you can enjoy:MedicalDental401kPaid time offWork/life balanceCareer developmentMentorship opportunitiesRewards & recognition Learn more about Lockheed Martin’s competitive and comprehensive benefits package.Basic Qualifications:Experience using data analytics and related techniques to create intelligence productsExperience creating AI tools to automate processesExperience performing statistical analysis Desired Skills: - Understanding of GEOINT and SIGINT capabilities- Experience with supporting real-time missions and responding to ad hoc support requests flexibly and dynamically Ability to work independently and as part of a dynamic intelligence operations teamAbility to adapt to changing situationsAbility to prepare written and visual products BASIC QUALIFICATIONS: job.QualificationsLockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They’re dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.EXPERIENCE LEVEL: Experienced Professional" Data Scientist - WEHCO Media,"Little Rock, AR 72201 (Downtown CBD area)",Arkansas Democrat-Gazette,"WEHCO Digital Media is looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Bachelor’s Degree in Statistics, Mathematics, Computer Science or another quantitative field. Minimum three years of experience with at least two programming languages and one general-purpose statistical package or programming library. The data team mainly uses Python but we value the ability to learn new libraries and ecosystems. This is a full-time position with competitive pay, vacation, 401K, profit sharing, health, dental, vision and other benefits. WEHCO Media is a drug-free workplace and an equal opportunity employer.Job Type: Full-timeExperience:programming: 3 years (Preferred)Education:Bachelor's (Preferred)Work Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offSchedule:Monday to FridayDay shift" Data Scientist Advanced Analytics,"Hershey, PA 17033",The Hershey Company,"Job Location: 19 E. Chocolate Ave. Hershey, PA 17033Job Summary:This role is part of an organization that uncovers insights to benefit Hershey’s consumers, shoppers, employees, and retailers. Hershey’s Advanced Analytics group provides insights and recommendations that impact multiple facets of the business – from Marketing to R&D. You’ll be part of a team that goes beyond basic analysis, exploring traditional and non-traditional data sets while leveraging new and innovative technologies. The ideal candidate will have a close attention to detail, ability to decompose complex problems, possess strong analytical acumen and a high level of intellectual curiosity. This position must establish him/herself as a subject matter expert and valued consultant with numerous client groups to provide unbiased, objective analyses to inform business decisions.Role Responsibilities: Conducting root cause analysis on issues and forecasts that have significant impact on Hershey’s business and strategy Creating predictive and prescriptive models to enable scenario planning Identifying growth opportunities via analytical models Creating ad hoc, inferential models to explain business results and causal driversQualifications: Master’s degree in a STEM field is required Minimum of 1-3 years of related statistics and/or market research experience Programming experience (preferably in R and/or Python) Experience in predictive and prescriptive modeling A passion for analytical problem solving Ability to work with disparate information, glean insights from the relevant data, and effectively communicate findings with key stakeholders Strong communication skills Demonstrated ability to work independently and within cross-functional teams Effective project manager who can define a business problem, retrieve and prepare the necessary data, develop suitable modeling approaches, evaluate the quality of different models, and deploy a solution that meets end-user criteria. The Hershey Company is an Equal Opportunity Employer. The policy of The Hershey Company is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's race, color, gender, age, national origin, religion, citizenship status, marital status, sexual orientation, gender identity, transgender status, physical or mental disability, protected veteran status, genetic information, pregnancy, or any other categories protected by applicable federal, state or local laws.The Hershey Company is an Equal Opportunity Employer - Minority/Female/Disabled/Protected Veterans" Junior Data Scientist,"Boca Raton, FL 33487",Orangetheory Fitness,"Job Posting Details: The Junior Data Scientist assesses applicability of different AI/ML methods for different use cases. The Junior Data Scientist builds advanced analytics solutions in a production environment, draws insights from large or complex data sets to solve business problems addressed by use cases, and helps drive advanced analytics thinking and methodologies by investigating various topics and sharing insights with broader Data & Analytics team as well as business stakeholders. EXPERIENCE/QUALIFICATIONS Gather business requirements and translate them into information solutions Identify required data structures and apply strong expertise in advanced analytics techniques (e.g. AI and machine-learning) to design, prototype, and build solutions to business problems Collaborate with Data Engineer(s) to support data modelling and testing during projects, and incorporating advanced analytics into ongoing business processes Ensure analytics tools and methods used in projects are robust and of the highest quality Help manage use case development and ensure frequent communication with other stakeholders to drive use case development and manage expectations on model limitations and lead times Collaborate with business units to provide technical guidance related to AI/ML-based models Develop internal analytics capabilities and best practices (models, standards, tools), and share learnings with peers Contribute to building advanced analytics capabilities, attending conferences, and allocating time to investigate new topics, etc. Provide key input during use case definition phase to ensure feasibility and value potential Perform advanced analytics work during all phases of use case development JOB REQUIREMENTS At least 1 year of experience in a statistical and/or data science role (3+ years preferred) Bachelor’s in Data Science, Statistics, CS, or related field; Master’s preferred Expertise in advanced analytical techniques (e.g. descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, segmentation analysis, etc.) Experience using analytical tools and languages, (e.g., Python, R, etc.) Experience working with large data sets and distributed computing tools (e.g. Hadoop, Hive, Spark, AWS Lambda, etc.) Experience with data visualization tools (e.g., Tableau, PowerBI) ESSENTIAL SKILLS Knowledge of the industry and ability to translate business needs into advanced analytics solutions Experience implementing data science products in a business setting EEO STATEMENT Orangetheory Fitness provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Discrimination of any type will not be tolerated." Data Scientist,"Pleasanton, CA",Infostretch Corporation,"Job Description Infostretch is looking for a Data Scientist with minimum 7+ years of experience in Modeling.The resource works as a member of a research engineering team responsible for researching, evaluating, and piloting information technology innovations in specific application areas focused on cutting edge technology for yield optimization, inventory management and user-behavior predictive analytics for the interactive media properties.Job Responsibilities Develop and maintain the business monetization systems including yield management, purchased traffic optimization, and network inventory and profit optimization. Develop creative ideas and then utilize the innovation framework processes, tools, and metrics to evaluate those ideas, promote ideas into potential products, develop detailed functional and algorithmic specifications for media systems into production lev Aid developers in implementing new products. Maintain an awareness of company strategies and tactical plans Stay abreast of industry and technology trends to form a basis for potential innovations. Required Qualifications 5 years in modeling or related activities Knowledge of current systems architectures and infrastructures, and potential integration points Minimum of 7 years’ experience in software development life cycle methodologies, including Agile/SCRUM Minimum of 5+ years’ experience in algorithm design, combinatorial and numerical optimization Minimum of 3 years’ experience in statistics and machine learning skills Knowledge of evolving business strategies, industry trends, and innovations Minimum 1 year RDBMS/SQL experience Matlab, Java, R, and Python programming experience RDBMS/SQL experience Experience in designing and developing high-performance, reliable, mission-critical systems Experience with AWS is a plus Master's Degree in CS or Related filed required, Doctorate strongly preferred Additional Knowledge, Skills, and Abilities Experience in designing and developing high-performance, reliable systems" Machine Learning Data Scientist,"Chicago, IL 60604 (The Loop area)",Wolverine Trading,"We are looking for a Statistical Machine Learning expert to be a member of our Quantitative Research team. You will be using large data sets to create trading strategies, improve trading, quantitative research and data mining. This work will be challenging, fast-paced, and competitive. You will collaborate with quants and traders to develop and improve trading strategies. Responsibilities Monitor development of new and existing data sets. Collaborate with other traders and team. Improve existing models with new learning algorithms, alternative feature transformations, feature selection techniques, improved evaluation metrics, and increased model diversity.Qualifications 2+ years of application development and implementation experience (C++, Python, R or Matlab). 5+ years of machine learning related experience. Creative thinkers who are driven, self-motivated, and eager to solve challenging problems. Exceptional programming skills. Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks or support vector machines. Capable of managing large data sets and developing statistical models. Interested in applying machine learning within trading. Masters or PhD in Statistics, Physics, Applied Mathematics Computer Science/Machine Learning, or other highly quantitative field (or related subject). Desire to work within a collaborative, team-driven environment. Good communication skills. Preferred financial background, but will consider those from non-financial backgrounds.About Wolverine Founded in 1994, the Wolverine companies comprise a number of diversified financial institutions specializing in proprietary trading, asset management, order execution services, and technology solutions. We are recognized as a market leader in derivatives valuation, trading, and value-added order execution across global equity, options, and futures markets. With a focus on innovation, achievement, and integrity, we take pride in serving the interests of both our clients and colleagues. The Wolverine companies are headquartered in Chicago with offices in New York and San Francisco and a proprietary trading affiliate office located in London. Sponsorship is not available for this position. Are you a returning applicant? Previous Applicants: Email: Password: If you do not remember your password click here." Statistician / Data Scientist (Forecasting),"St. Louis, MO 63102 (Near North Riverfront area)",Federal Reserve Bank of St. Louis,"Statistician / Data Scientist (Forecasting)-262670 Federal Reserve Bank of St. Louis Primary Location MO-St. Louis Full-time / Part-time Full-time Employee Status Regular Overtime Status Exempt Job Type Experienced Travel Yes, 5 % of the Time Shift Day Job Job Sensitivity Tier II - Credit Check The St Louis Fed is one of 12 Reserve Banks serving all or parts of Missouri, Illinois, Indiana, Kentucky, Tennessee, Mississippi and Arkansas with branches in Little Rock, Louisville and Memphis. The St. Louis Fed’s most critical functions include: promoting stable prices and economic growth, fostering a sound financial system, providing payment services to financial institutions, supporting the U.S. Treasury's financial operations, and advancing economic education, community development and fair access to credit.The Federal Reserve Bank of St. Louis is seeking a Data Scientist for the Treasury Division’s Forecasting and Cash Management Analytics Group. The Treasury Division supports numerous U.S. Treasury applications including the Fiscal Projections System (FPS), a cash and debt forecasting system that assists U.S. Treasury’s Office of Fiscal Projections (OFP) in estimating the Government’s daily cash position, determining marketable borrowing requirements and ensuring total debt outstanding is within statutory limitations. The Forecasting and Cash Management Analytics Group provides OFP analytical support through the development of quantitative forecast models, maintenance of a Long-term Fiscal Forecast and intraday account trends.Responsibilities Utilizes knowledge of forecasting techniques including time-series, temporal disaggregation, and macroeconomic models to create, maintain, and enhance short- and long-term economic forecasting models Maintains and executes forecasting processes that include model calibration, backtesting, and other model validation activities Performs monthly comparative analysis of forecast model results using knowledge of forecast error metrics Produces reports suitable for technical and non-technical audiences that include statuses, explanations of results, and recommendations to improve forecast performance Interacts with Treasury clients to gather business requirements, understand macroeconomic and legislative factors influencing Federal expenditures and revenues, and acquire necessary data to test and integrate the information into forecast models Consults with Treasury clients to review and implement approved changes Qualifications Bachelor's degree in Economics, Statistics, Mathematics, or other quantitative discipline or commensurate experience; Master’s degree preferred 3-5 years statistical modeling experience, preferably in a financial institution or corporate Treasury area Demonstrated proficiency in SAS, Stata, or other applicable statistical software packages Time-series modeling experience using ARIMA, ARCH, GARCH, and/or VAR Demonstrated ability to learn new technical tools and software applications Ability to interact professionally and communicate clearly, both verbally and in writing, with U.S. Treasury, financial institutions and Federal Reserve Bank partners to obtain information, respond to inquiries, analyze documentation and resolve issues Demonstrated strong analytical, organizational, and problem-solving skills and the ability to manage numerous projects and work processes Ability to carry out assignments with minimal supervision as well as work effectively as a part of a team Demonstrated strong customer service skills in providing information to all levels of the organization and customers Ability to comprehend, communicate and apply U.S. Treasury and Reserve Bank policies and procedures Candidates with less experience may be considered at a lower job grade and/or salary. Travel (5%) Position requires US CitizenRanked as a Top Workplace, the Federal Reserve Bank of St Louis is committed to building an inclusive workplace, where employees’ diversity—in age, gender, race and ethnicity, sexual orientation, gender identity or expression, disability, as well as cultural traditions, religion, life experiences, education and socioeconomic backgrounds—are recognized as a strength. Embracing our diversity encourages employees to bring their valued perspectives to the table when generating ideas and solving problems, and promotes an environment where innovation and excellence thrive. Learn more about the Bank and its culture; check out our Careers Site.The Federal Reserve Bank of St Louis is an Equal Opportunity Employer." Data Scientist / Analyst,"Cromwell, CT 06416",DSM i-Health,"Positional Responsibility: Data Scientist/ AnalystTimeframe: Estimated 3 - 6 month contract initialActivities and Deliverables: Develop new data sets and analyses required to generate actionable market insights based on business data intelligence or consumer behavior.Collaborate with functional and commercial teams to develop and integrate existing and new data sources and viewsDevelop appropriate connections between unconnected data sources and establish new data modelsGather, transform and report large sets of structured and semi-structured data into formats for analysis, decision-making, and reportingSupport existing and develop new reports and dashboards (typically in Microsoft’s Power BI).Ensure data are being transferred correctly from internal and external source systemsExamples: Internal ERP, syndicated consumer data, and retailer scan dataEffectively work independently to author, design and implement new reports or applicationsMay require any or all activities within discovery, interviewing, collaborating, transfer and training of diverse personnel to accomplish deliverableAssist in the evaluation of reporting tools and supporting technologiesHelp mature business intelligence and analytical tools to develop the most visually and efficient way possibleAcademics and SkillsPreferred 3+ years’ experience in data engineering, report building, and/or data analyticsPreferred B.S. in quantitative field (e.g., analytics, computer science, CIS, engineering)Advanced Excel capabilities, including topics such as Lookups, PowerQuery, PivotTables, VBA, application macros and automation.Experience with a Data Analytics tool such as PowerBI, TableauData and SQL skills; ability to design and optimize queries and create data structures. Join multiple data sources, advanced stored procedures and job scheduling, transmission to and from databases, ETL and data warehousingExposure to data-related scripting languages such as SQL, R, Python, DAXKnowledge of consumer-packaged goods market and the data sources it uses, eg. Nielsen, IRI, etc.Excellent written and verbal interpersonal skills – experience working with business partners and senior leadersProject management capabilities to coordinate multiple projects and prioritize a variety of incoming requestsJob Type: ContractExperience:Excel: 1 year (Preferred)Power BI: 1 year (Preferred)SQL: 1 year (Preferred)Application Question:Number of years involved with consumer products or retailer/consumption datasets?Contract Renewal:PossibleWork Location:One locationThis Company Describes Its Culture as:Detail-oriented -- quality and precision-focusedOutcome-oriented -- results-focused with strong performance cultureTeam-oriented -- cooperative and collaborative" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Biotech Laboratory Technician/Data Analyst Updated 2/28/2020,"Los Angeles, CA 90034 (Palms area)","Laragen, Inc","Laragen, Inc is a biotech company specializing in genomics services. For more than 20 years, we have served academic institutions and private industrial sectors worldwide.We are currently looking for a senior laboratory technician/data analyst. Main job responsibility is genotyping data analysis, reporting results to clients, customer services, receiving samples, setting up PCR reactions, DNA extraction, troubleshooting, lab maintenance, developing SOPs and other lab documents.Required/Preferred skills: - A BA degree or higher in biology with 5+ years related experience in biotechnology- Able to multi-task and able to prioritize responsibilities- Must pay attention to detail.- Extensive computer and MS Excel experience- Extensive experience on real time PCR(qPCR) and genotyping- Strong pipetting skill and molecular biology techniques.- Able to recognize trends and able to be focused and observant- Able to work under pressure and keep up with a fast-paced environment- Can handle a high volume of sample processing. Industry experience preferred- Must be a team player. Good interpersonal skills- Good communication and customer service skills- Knowledgeable with Python is a plus.- Experience with fragment analysis software such as GeneMapper is a plusBenefits: - Medical, Dental, Vision, Life Insurances- 401K, Profit Sharing, Defined Cash Balanced Plan- Paid Time Off, Sick Leave- Bonuses- Flexible hoursJob Type: Full-timeSalary: $18.00 to $26.00 /hourExperience:Industrial Biotech Laboratory: 2 years (Required)PCR: 5 years (Preferred)Education:Bachelor's (Required)Location:Los Angeles, CA (Required)Work authorization:United States (Required)Additional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offOtherThis Job Is Ideal for Someone Who Is:Dependable -- more reliable than spontaneousDetail-oriented -- would rather focus on the details of work than the bigger pictureHigh stress tolerance -- thrives in a high-pressure environmentThis Company Describes Its Culture as:Detail-oriented -- quality and precision-focusedOutcome-oriented -- results-focused with strong performance cultureTeam-oriented -- cooperative and collaborativeSchedule:Monday to FridayOvertime" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" NLP Scientist Intern,"Dallas, TX",Pieces Technologies,"Healthcare is about decision-making – and the best decisions are those made with complete and comprehensive data. At Pieces Technologies, we collect and deliver data from every part of the patient care journey to help healthcare providers and social service organizations keep communities flourishing. Pieces Tech uses the most cutting-edge technology to help vulnerable populations get the care they need. We use artificial intelligence, natural language processing (NLP), and machine learning to address clinical and social determinants of health. Our tools provide the insights needed to improve patient care beyond the hospital walls. In plain terms, we’re building technology platforms to make better patient care easy. And we need smart NLP Interns to help us achieve our mission. Responsibilities of the NLP Intern will be as follows: Supports the development of NLP algorithms that are accurate, scalable, and production-quality by applying statistical, rule-based, and knowledge base NLP techniques Supports the development of NLP applications that leverage interactive machine learning for AI-assisted chart review and monitoring services, machine active learning and self learning Develops the proof-of-concept project with the deep-learning framework for the generalizable feature representation on textual unstructured information Collaborates closely with physician scientists and other clinical domain experts to seek clinical guidelines in the development of NLP models, products, and services, and gather usability reviews on internal and external user facing applications/tools Assists the clinical annotation team to co-develop sustainable annotation guidelines for client-facing services and internal model development Coordinates with data model and service experts to obtain significant clinical data associated with the development and improvement of the existing algorithms Collaborates closely with product and project managers to understand product requirements, product roadmap, and manage the project progress Prepares and presents data analysis and research reports for project releases and updates Stays abreast of the latest developments, advancements, and trends in the field of NLP and AI by attending seminars/workshops, reading professional journals, and actively participating in professional organizations. Integrates knowledge gained into current work practices. Maintains knowledge of applicable rules, regulations, policies, laws, and guidelines that impact the NLP area and Pieces Tech. Develops effective internal controls designed to promote adherence with applicable laws, accreditation agency requirements, and federal/state/private health plans. Seeks advice and guidance as needed to ensure proper understanding. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Required Skills We’re looking for a PhD candidate who’s passionate about using technology to help the most vulnerable. You’re someone who believes the right data can help build better one-to-one relationships with communities in need of extra support. You also possess the following skills: Excellent problem solving and programming skills NLP analytical skills: NLP pipeline and deep learning (e.g. Tensorflow, Pytorch, etc) Flexible and resourceful Highly self-motivated in the area of data science, NLP, machine learning, and AI Strong written and verbal communication skills Experience in published research is preferred A focus on biomedical/clinical/health NLP research, with publication records or accomplished projects. Knowledge of medical informatics and electronic medical records system Required Experience EDUCATION Current student in a graduate program (Master, PhD, MD, or equivalent program) in Computer Science, Data Science, Informatics, Linguistics, Engineering, or a related field with a specialization in NLP EXPERIENCE A minimum of 1-year of experience in designing and developing systems with symbolic and statistical NLP models, decision making, and prediction, for clinical data analytics Experience in implementation of medical terminologies and ontologies is a plus Experience in developing systems within and/or for healthcare systems is a plus Experience in machine learning, deep learning, active learning, and transfer learning to solve clinical AI problems is a plus Benefits Paid internship The chance to be part of a rapidly growing startup Solid experience in developing health NLP systems on real-life applications A comprehensive tech setup Healthy snacks Free arcade games (de-stress while trying to knock off the reigning Pac-Man office champion!) The team at Pieces Technologies is driven bunch of individuals working toward a common goal. When you join our team, you’ll find a mission-driven culture built on: Positivity: we work hard, and we are enthusiastic about problem-solving and empathetic to our partners’ causes. Teamwork: we believe in harnessing the strength of the collective, mentorship, and amplifying each other's strengths. Great communication: clear, concise, empathetic communication is paramount to our success." Data Scientist,"Tampa, FL 33607 (Tampa International Airport Area area)",Restaurant Magic Software,"The Data Scientist builds the foundation for Restaurant Magic (RM) Data Central (DC) and its’ progress in the AI & ML space. The Data Scientist will work with various stakeholders to understand the domain of Data Central and how it helps manage margin, and subsequently, apply a range of technical competencies to deliver business solutions such as optimization algorithms, prediction engines, pattern detection, and in some cases recommend courses of action. Job Responsibilities: Work with product management and engineering departments to determine how to use business data for valuable business solutions that will enhance the Data Central product offering Align business goals and business value with detailed steps needed to accomplish feature-driven objectives Research and develop statistical learning models for data science components of Data Central, including searching for new data sources and assessing their accuracy or relevancy Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy Implement new statistical or other mathematical methodologies as needed to improve specific models or analysis Communicate results and ideas to key decision makers Knowledge And Skills: A natural inclination for solving complex problems Degree in Computer Science, Statistics, Applied Math or related field 5+ years’ practical experience with ETL, data processing, database programming and data analytics Able to understand various data structures and common methods in data transformation Excellent pattern recognition and predictive modeling skills Extensive background in performing statistical analysis using languages like R, Python, etc., to process data and gain insights from it Knowledge of Machine Learning techniques, including decision tree learning, clustering, artificial neural networks, etc., and their pros and cons Knowledge and application experience in advanced statistical techniques and concepts, including, regression, distribution properties, statistical testing, etc. Good communication skills to promote cross-team collaboration Impulse to learn and master new technologies Subject matter expert/industry experience in hospitality, restaurant, or Point of Sale data Experience with large-scale ERP-style systems, with mission-critical data touchpoints Quality: “Possesses an understanding of and performs work related activities in accordance with and in support of the corporation Quality Policy”. NOTE: This job description is intended to be illustrative of the position’s duties and should not be construed to be an exhaustive statement of the essential functions of the job. APPLY NOW" "Data Scientist, Analytics - Payment Risk","Menlo Park, CA",Facebook,"Payments Risk team is responsible for the integrity of 30+ payment products across Facebook's family of apps including IG, WA, etc. FB processes tens of billions of dollars annually for advertisers, partners, and users. Ads, Messenger Payments, Event Ticketing and Donations are just examples of products that utilize payments. Our team goal is to minimize financial losses in our payments system by detecting fraudulent actors before they get a chance to defraud us. We employ sophisticated machine learning models to catch fraud and manage risk at a large scale. As a result, you will get a chance to work with a team of ML engineers, and help them with their strategies and experimentations. This role will focus on 5 key areas: Product Success Measurement: what loss shall we prioritize to mitigate vs. not? How much improvement are we able to make via product iterations and defense systems? Verification/detection/enforcement: We aim to minimize financial losses in our payment systems, these are hard problems to solve, and you’ll be working closely with product, ML eng, etc., to create scalable solutions New Product Iteration: What are some new products/features we can offer to payment product users to minimize process thrash and improve financials for both users and FB? Work on agility and scalability of Payment Risk products: how transferable is our defense system to new product applications? Can we “plug and play”? Coach/Tech lead other ICs on the team You are a fit if you: Enjoy catching fraudsters in an adversarial system. Enjoy holistic thinking through tradeoffs and optimization. Are energized by product iterations through pattern surfacing, hypothesis testing, and deep behavioral analytics. Enjoy driving or influencing product roadmaps with your cross functional partners Tend to see/seize opportunities in complex or ambiguous areas. DATA SCIENTIST, ANALYTICS - PAYMENT RISK RESPONSIBILITIES Define problems and opportunities in a complex or ambiguous area Apply your expertise in quantitative analysis and data presentation to see beyond the numbers Monitor events through dashboards, detect anomalies, and conduct deep dive analysis on specific issues to understand root cause Drive strategies and decision via analytics Communicate to broad cross-functional teams the opportunities and provide actionable next steps Partner closely with product, engineering, ops and other cross-functional teams to drive product direction and prioritize roadmap MINIMUM QUALIFICATIONS BS, MS or PhD Degree in Statistics, Computer Science, Econometrics, or similar domain 5+ years of experience working in an analytics organization Experience working independently and as a member of a cross-functional team Experience in querying and manipulating large datasets for analysis Python and SQL experience Strategic thinking and can drive the direction of the team PREFERRED QUALIFICATIONS Experience in Tech leading large project Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com." Senior Data Scientist,"Seattle, WA",Brightloom,"The Role: Brightloom is creating an entirely new category of software-as-a-service for consumer brands -- the Customer Growth Platform. This first-of-its-kind platform enables automated digital engagement and personalized loyalty programs to transform customer experiences while delivering predictable and repeatable lifetime value growth for brands. As a Sr. Data Scientist on our Customer Growth Platform, you'll develop predictive data products, such as product demand forecasts, customer lifetime valuation, personalized product recommendations, and more. Then you'll develop optimization algorithms based on these predictive data products, for brands to use in their marketing and offers so they can efficiently maximize growth. The experimentation solutions you develop should prove the value of our suggestions, as well as help train future predictive models about what products and offers will drive customer engagement. What You'll do:Data platform design: work your way up the Data Science Hierarchy of Needs ( https://hackernoon.com/the-ai-hierarchy-of-needs-18f111fcc007 ). You'll partner with software engineering and product management counterparts to design our data and machine learning infrastructure, including collection, storage, processing, experiment design, modeling, and finally automated optimization. Data normalization and integrity: we'll be importing highly heterogeneous data from a variety of customers across thousands locations with millions of customers. This will require clever solutions to ensure the data they send us is readily available, easy to use and reliable. Predictive modeling and data products: you'll be the primary contributor on the models that power our forecasting and recommendations, which are at the core of this role and our Customer Growth Platform offering. Experimentation & impact analysis: outbound marketing automation, including paid media, product discounts and loyalty reward offers, often costs consumer brands real money. Through rigorous experiment design, including power analysis, and execution you will prove to our customers that our predictions are accurate and our optimizations deliver impact. When experimentation isn't an option, you'll develop causal inference models to measure impact. Data visualization & reporting: you'll partner with our product management team to define and build proof-of-concept dashboards, analysis and reporting for the data we receive from customers, the predictive data products we produce from it, and the automated optimization and experimentation we run based on those. About You:PhD in a quantitative discipline such as Statistics, Mathematics, Data Science, Business Analytics, Economics, Finance, Engineering, or Computer Science 3+ years of demonstrated success using machine learning model development to solve business needs Expertise in at least one statistical software package or language such as R, Stata, Matlab, or Python Expertise using big data infrastructure and tools, such as Spark, SageMaker, Redshift Bonus Points if you have:Experience with causal inference, applied time series modeling or machine learning forecasting applications Experience with iterative software development practices such as Agile Strong written and oral communication skills About Us: At Brightloom, we are working to create meaningful relationships between people and the brands they love. Up until now, only a select few brands could afford or knew how to put together a top-notch digital engagement and ordering platform. Now the top leaders who built and led the data-driven approach to customer engagement at Starbucks and Amazon are, together with their world-class teams of data scientists, engineers and industry experts, productizing this approach to enable any consumer brand to deliver a seamless and personalized digital customer experience. Our flexible and modular platform combines convenience (digital ordering channels), personal relevance (personalized marketing) and engagement (loyalty) that allow brands to grow their business through strong and enduring customer relationships. What We Offer:Competitive Salary Equity/Stock Options Health, vision, dental insurance coverage 401(k) Life Insurance, Short-Term Disability, Long-Term Disability Pre-tax Commuter Benefits and Bike Membership Flexible PTO + 10 Company Paid Holidays ARC Fertility Program Catered lunch and unlimited snacks Regular company outings and events Brightloom is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law." Data Scientist,"Washington, DC",Tetra Tech,"Tetra Tech is looking for a customer-oriented Data Solution Architect to join our team and support a growing project team at the Federal Aviation Administration (FAA). Qualified candidates will have experience working in a client facing environment and preferably have experience supporting a federal solutions team and ideally have a basic understanding or air traffic principles and the aviation industry, in addition to regularity policies in air traffic. In this role you will translate requirements created by functional analysts into the architecture for that solution. Ideal candidates will have experience supporting cloud computing, data architecture, machine learning, or cyber security solutions. Primary job duties and responsibilities may include, but are not limited to the following: Provide technology specialization to build quality application and software solutions that meet the requirements and advises clients on Tetra Tech FIT offerings, strategy, designs, specific technologies, implementation approaches and alternatives / tradeoffs. Lead delivery of technology innovation services, strategic planning activities and business case development. Provide technical oversight for or develop technical estimates created with standards tools, portfolio Work Breakdown Structures, statements of work and industry standard estimating techniques. Architect complete solutions using appropriate portfolio offerings with design elements that allow integration into a client environment. Adhere to appropriate SDF processes, architectural artifact requirements and architectural best practices. Work with client stakeholders to evaluate the solution requirements and support the management and traceability of requirements during the engagement. Work with client technical staff during the requirements definition and implementation to resolve issues. Assume accountability for the infrastructure solution technology components and the successful implementation of the full solution. May include hands-on modeling, design, configuration, installation, performance tuning, prototyping and/or other efforts required to keep the project on a successful track. Review large data sets and provide recommendations and/or reports based on customer requests that could include congressional inquiries Assign and review tasks, mentor junior architects, manage performance feedback, and create development plans consistent with performing the role of team leader or project manager. The successful candidate will have: Bachelor’s Degree and a minimum of 7 + years of relevant IT implementation experience. Experience working in a consulting environment; preferably a Federal consulting engagement. Experience developing and supporting Data Architecture. Experience using Agile software development methodology and practices including JIRA project management software Strong communications skills with the ability to interface with all levels of internal and client project teams. Knowledge on applicable industry standards and frameworks such as ITIL, CoBIT, ISO, TOGAF and FEAF. This position requires a clearance and/or badge that involves an extensive background and credit check Tetra Tech is an Equal Opportunity Employer, and we value workplace diversity. We invite resumes from all interested parties and consider applicants for all positions without regard to race, color, religion, sex, national origin, age, marital status, sexual preference, personal appearance, family responsibility, the presence of a non-job-related medical condition or physical disability, matriculation, political affiliation, veteran status, or any other legally protected status. Tetra Tech is a VEVRAA federal contractor and we request priority referral of veterans for available positions." Applied Scientist (Remote),Remote,Yelp,"Are you intrigued by data? Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers – and all of these numbers are constantly growing. Making sense of this data, deducing relationships between variables, and figuring out different interactions is hard work, but these insights are hugely impactful to Yelp’s business. Applied scientists uncover these insights through exploratory research and analysis, and carry the ideas all the way through to production-grade statistical or predictive models. They work in areas including pricing models and auction bidding strategies, learning to rank applications, personalized recommender systems, trust and safety / spam detection, and causal inference. Yelp engineering culture is driven by our values: we’re a cooperative team that encourages individual authenticity and “unboring” solutions to problems. We enable all new team members to deploy working code their first week, and your impact will only grow from there with the support of your manager, mentor, and team. At the end of the day, we’re all about helping our users, growing as engineers and scientists, and having fun in a collaborative environment.Sound exciting? Keep reading. Where You Come In: You will conduct end-to-end analyses, from wrangling data via SQL/Spark/Python, to statistical modeling, to hypothesizing and presenting business ideas. You will work with large, complex datasets. You will lead the development of predictive and causal models. You will productionize and automate model pipelines within Python services. What it Takes to Succeed: You have experience with data analysis/statistical software and packages (pandas/statsmodels/sklearn within Python, R, etc.) You have experience with predictive modeling/machine learning, forecasting, or causal inference. You hold a degree in a quantitative discipline such as computer science, statistics, econometrics, applied math, etc. You have a love for writing beautiful code; you don’t need to be an expert, but experience is a plus and we’ll expect you to learn on the job You have a demonstrated capability for original research, the curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal You have the motivation to develop deep product and business knowledge and to connect abstract modeling and analysis tasks with business value You're comfortable working in a Unix environment What You'll Get: Effective your first day: Full medical, vision, and dental 15 days PTO (increases with tenure) and 11 paid holidays Up to 14 weeks of parental leave Monthly wellness subsidy Access to fully stocked Yelp kitchens Flexible spending account Pre-tax commuter benefits 401(k) retirement savings plan Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records." "Intern, Data Science DHX","San Francisco, CA",Autodesk,"The intern working on this project will be joining the Data Science Team that is part of the Digital Help organization at Autodesk. Our company has a wide collection of products, and our users are passionate about using them to get their work and hobby projects done. However, sometimes they run into difficulty, and need help from our agents, our library of knowledge articles, or our software. In this project specifically, we will be investigating how we can apply deep learning and natural language processing to help optimize and annotate our support articles. Support articles are the backbone of how agents, and the whole company, can help our customers. ResponsibilitiesPrincipal responsibility for designing and testing a proof of concept for improved knowledge management for customer support contentDesign and implementation of services and interfaces to support this proof of conceptWork closely with the rest of the team to gather and analyze user and support data Minimum QualificationsMust be at least 18 and enrolled in college or non-traditional education, such as coding boot camps or industry-related vocational classesProficiency with Python, information retrieval, machine learning including deep learning, and Natural Language ProcessingAbility to work as an individual contributor in a supportive team environment Preferred QualificationsPursuing a Masters or PhD in Statistics, Math, Computer Science, Information Science, Data Science, Analytics, Machine Learning, Physical Sciences, or a related fieldFront-end/design experience a bonus, but not requiredAWS/Sagemaker experience a bonus, but not required About the US Intern Program The U.S. program runs from May through August for 12 weeks. Interns have the opportunity to work alongside peers from universities all over the country and participate in intern events such as tech talks, design nights, mentoring, baseball games, bowling, local attractions and more. US recruiting begins in the Fall and concludes end of March. About the Digital Help Data Science Team The Digital Help Data Science Team is responsible for applying technology and analysis to improving the customer support function at Autodesk. Our team is made up of a diverse group of people with varied background and interests. We work in a supportive and collaborative way, applying the latest technology and rigorous analysis to solve interesting questions. Examples of our work include models for routing customer queries to agents, designing effective scripts for our support chatbot, and measuring the impact of automation on customer forums. About Autodesk With Autodesk software, you have the power to Make Anything. The future of making is here, bringing with it radical changes in the way things are designed, made, and used. It's disrupting every industry: architecture, engineering, and construction; manufacturing; and media and entertainment. With the right knowledge and tools, this disruption is your opportunity. Our software is used by everyone - from design professionals, engineers and architects to digital scientists, students and hobbyists. We constantly explore new ways to integrate all dimensions of diversity across our employees, customers, partners, and communities. Our ultimate goal is to expand opportunities for anyone to imagine, design, and make a better world. At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider employment for all qualified applicants regardless of criminal histories, consistent with applicable law. To all recruitment agencies: Autodesk does not accept unsolicited headhunter and agency resumes. Autodesk will not pay fees to any third-party agency or company that does not have a signed agreement with Autodesk, Inc." Data Science Intern (Summer 2020),"Chicago, IL 60604 (The Loop area)",Wolverine Trading,"Data Science Intern (Summer 2020) Data Science Intern (Summer 2020) at Wolverine Trading If you want to understand the data of modern markets at the deepest level and dive into quantitative trading, the data science research internship is right for you. Wolverine is offering the opportunity to work in a highly collaborative and dynamic environment where you’ll get exposure to our algorithmic trading and execution systems. Data Scientists work with traders and engineers to develop, test, and implement statistical models and algorithmic trading systems that drive every aspect of Wolverine’s business. Wolverine seeks intelligent and creative individuals who will apply their mathematical and programming skills to complex big data and time series problems. What You’ll Do As a summer intern, you will work on multiple ML, statistics, and data engineering projects using our cutting-edge cluster computing technology and A/B testing environments. You will perform huge data analysis on our algorithms, and have the opportunity to propose actionable changes to fully automated trading systems. You will gain experience with options pricing and equities trading strategies while learning how we approach significance testing, parameter tuning, outlier analysis, and algorithmic optimizations. Our team oversees thousands of data sources and the algorithms that convert these data into actionable insights for our trading strategies. Wolverine provides classroom education, hands-on training, and mock trading. Wolverine also provides fully furnished apartments that are located close to the office, making your morning commute quick and easy. Additionally, Wolverine will host several social activities throughout the summer to ensure an optimal work-life balance. What We Look For Working toward a degree in statistics, computer science, mathematics, or another highly quantitative field and have an expected graduation date between December 2020 and June 2021. History of academic excellence. Demonstrated interest in trading, financial markets, and technology, but experience or knowledge of finance not required. Excellent quantitative and problem-solving skills. Entrepreneurial and self-motivated. Strong communication skills. Desire to work in a team environment. 3-month commitment. Experience in Python. Strong background in classical statistics and machine learning preferred. About Wolverine Founded in 1994, the Wolverine companies comprise a number of diversified financial institutions specializing in proprietary trading, asset management, order execution services, and technology solutions. We are recognized as a market leader in derivatives valuation, trading, and value-added order execution across global equity, options, and futures markets. With a focus on innovation, achievement, and integrity, we take pride in serving the interests of both our clients and colleagues. The Wolverine companies are headquartered in Chicago with offices in New York and San Francisco and a proprietary trading affiliate office located in London. Sponsorship is not available for this position. Are you a returning applicant? Previous Applicants: Email: Password: If you do not remember your password click here." Data Scientist GS-14,"Washington, DC 20535 (Penn Quarter area)",Federal Bureau of Investigation,"Position: Data Scientist, GS-14 Division: Security Division Unit: Mission Support Unit Location: Washington, DC Working Hours: 8:00am - 4:30pm (Flexible) Salary: GS-14 $121,316.00 - $157,709.00 Full Performance level: GS-14 Number of Positions Available: 1 Duration: Full Time/Permanent Additional selections may be made from this announcement to fill positions within the same division when the position includes substantially the same duties, responsibilities, and qualifications. Key RequirementsMust be a U.S. citizen Must be able to obtain a Top Secret-SCI clearance ALL applicants must verify completion of the basic education requirement by submitting a copy of college transcripts by the closing date of the vacancy announcement. Mission Statement: The mission of the FBI is to protect the American People and uphold the Constitution of the United States. Major Duties:Providing expertise in software applications and system development; design processes and implement procedures for triaging large data sets and as a result be able to identify trends and risks Develop and implement appropriate tools and methods for use in the analysis, manipulation, and visual representation of data derived from systems utilized by SecD to include CATS, Phoenix, Sentinel, and HR Source Provide expertise related to agile analytical technology solutions to include machine learning and artificial intelligence. Evaluate and document data workflows, processes and procedures. Develop and design computer operations and application functions Identify potential computer applications and tools to advance big data analytic capabilities. Define business rules and develop self-learning processes Prepare, coordinate and supervise software application implementation. Create and maintain the appropriate technical documents Acquire and provide technical and other professional training in support of the mission Analyze and automate collected data sets utilizing technical tools. Solve practical mathematical and statistical problems to support process improvement initiatives Qualifications and Evaluations Please make sure your specialized experience/requirement(s) can be identified in your resume. Applicants must meet the qualification requirements by the closing date of this announcement. Your application will be evaluated and rated under the FBI’s Candidate Rating Procedures. Your resume and supporting documentation will be used to determine whether you meet the job qualifications listed in this announcement and will be compared to your responses to the online assessment questionnaire. High self-assessment in the vacancy questions that is not supported by information in your resume, and/or supporting documents may eliminate you from Most Competitive status. Your application will then be placed in one of three categories: Most Competitive, Competitive, or Least Competitive. Names of candidates in the Most Competitive category will be sent to the hiring official for employment consideration. Veterans’ preference will be applied. All applicants will be rated on the following Competencies:Advanced Mathematical Reasoning Algorithms Analytic Thinking Data Analysis Organizing and Planning Positive Education Requirement This position has a specific education requirement; all applicants must verify completion of this basic educational requirement by submitting a copy of their college transcripts by the closing date of the vacancy announcement. A. Degree: Mathematics, statistics, or actuarial science. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR B. Combination of education and experience: Courses equivalent to a major field of study as shown in paragraph A above, plus additional education or appropriate experience. Education completed in foreign colleges or universities may be used to meet the above requirements provided you can show foreign education is comparable to that received in an accredited educational institution in the United States. Education completed in foreign colleges or universities may be used to meet the above requirements provided you can show foreign education is comparable to that received in an accredited educational institution in the United States. Specialized Experience (SE): GS-14: Applicant must possess at least one (1) year of specialized experience equivalent to the GS-13 grade level. SE is defined as follows:Acquiring, processing and measuring data for research purposes utilizing scientific methods. Developing recommendations and processes to improve the operational performance of data systems. Developing models and collecting/analyzing data using computer programming techniques. Designing and implementing scientific procedures for determining the reliability, validity and statistical confidence associated with specific technologies and methodologies." Data Scientist,"Chicago, IL 60654 (Goose Island area)","Groupon, Inc.","Are you passionate about solving interesting and challenging big data problems? Do you have expertise and interest in working on interesting business problems using large-scale analytics and algorithms? If yes, you could be a great fit for this role with the Data Science team at Groupon. The Data Science team performs complex analysis over large data sets using cutting edge technology. At any given time, the team works on a portfolio of projects that have a direct impact on Groupon?s business. Responsibilities: Work on challenging data science problems that aim to make Groupon's marketplace more efficient. Example challenges include: Predicting true incremental value of merchants, designing and solving an optimization problem that minimizes the supply / demand gap, optimizing prices to meet financial and other strategic objectives, developing ensemble models that collectively support complex decision making processes, etc. Design / develop methods, processes, and systems to consolidate and analyze structured / unstructured data from multiple disparate sources to generate actionable insights. Requirements: PhD degree in statistics, applied mathematics or related quantitative field is preferred. MS graduates with strong academic records are welcome to apply. 1+ years of experience as a data scientist or a related role. (2+ years for MS graduates.) Experience with widely used machine learning algorithms like linear and logistic regression, decision trees, SVM, KNN, k-means, random forest, dimensionality reduction, etc. Experience designing and analyzing multivariate tests Expert in R or Python with experience in machine learning related packages Expert in SQL with experience in data warehouse technologies like HiveQL Experience with big data technologies like Spark, AWS, TensorFlow is a plus First 90 days: Get yourself familiarized with the tools and data sources that the team uses Learn the business and understand the challenges we are trying to tackle Identify a simple project; develop a model, push to production and kick off an experiment Groupon's purpose is to build strong communities through thriving small businesses. To learn more about the world's largest local ecommerce marketplace, click here for the latest Groupon news. Plus, be sure to check out the values that shape our culture, guide our strategy and make our company a great place to work. And just don't take our word for it. Hear from real Groupon team members and learn more about our inclusive employee groups. If all of this sounds like something that's a great fit for you, then click apply and let's see where this takes us. Groupon is an Equal Opportunity Employer Qualifications for employment, promotion, and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, medical condition, sexual orientation, gender identity or expression, genetic information, ancestry, marital status, military discharge status (excluding dishonorable discharge), veteran status, citizenship status, or other legally protected status. We are all responsible for maintaining this policy. Groupon is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may email us at hraccommodations at groupon.com. If you have concerns related to Groupon’s equal employment opportunities, you may contact Groupon's Ethics Reporting Service Ethicspoint." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Allen Park, MI",Aptiv,"SHAPE THE FUTURE OF MOBILITY FROM DAY ONE. This position is part of our Connected Services segment and is located in Allen Park, Michigan. Summary: Reporting to the Data Science Manager, the Data Scientist will be a key member of Aptiv Connected Services’ Data Science team. The position supports Product Management and Customer Success teams by facilitating and implementing advanced data analytics, reporting, and visualizations, driving business insights that will strengthen the company’s product focus and provide value for our customers Responsibilities: Work as part of centralized Data Science and analytics function, engaging and interacting with multiple functional areas within the organization. Work in concert with product leadership and subject matter experts to identify and develop analysis techniques, including statistical modelling and machine learning, to solve business problems by leveraging mathematics and computer science. Process and manipulate large data sets across a range of platforms and using diverse processing techniques. Perform iterative analysis and modeling exercises on large sets of engineering data to uncover trends, insights, and anomalies with the goal of solving targeted business problems. Work with large amounts of engineering and operational data, turning complex statistical observations into succinct and clear messaging for product leadership and customer success teams. Enable stakeholders to make key decisions with accurate data analysis, reports and presentations of key findings. Support engineering and product teams to productionize and deploy scalable models and analytic solutions within the framework of Aptiv’s cloud and edge platform. Support engineering and product teams to develop and productionize dashboards, BI tools, and other data visualization methods that are underpinned by Aptiv’s modelling and analytics platform. Stay abreast of analytics and business intelligence trends. Must Haves (Basic Qualifications) University degree in computer science, mathematics, statistics, economics or related field. Experience developing and deploying predictive models and machine learning algorithms into production environment is desired. Experience with relational databases (MySQL) and knowledge of NoSQL databases (e.g. MongoDB). Experience using R, Python, Hadoop, or similar Strong understanding of Business Intelligence, design and analysis methodologies, developing and designing reports, visualizations or dashboards for business users. Experience working in cloud environment with platforms and frameworks such as; Google BigQuery, Azure Data Lake Analytics, Spark, Kafka or similar is an asset. Effective time management skills in order to meet multiple, competing deadlines on time in an agile product development environment. Knowledge of / experience in the automotive engineering industry is a plus but not required. Aptiv Rewards and Advantages Competitive compensation with bonus potential Learning and development opportunities Discount programs with various manufacturers and retailers Recognition for innovation and excellence Opportunities to give back to the community Meaningful work that makes a difference in the world Relocation assistance may be available Tuition Reimbursement Paid Time Off (Vacation, Parental leave, etc.) About Connected Services Aptiv is making mobility real. Today’s software-defined vehicles generate a lot of data. It’s expensive to transmit, and it’s not all useful. Aptiv’s Connected Services team is a global provider of telematics and analytics solutions serving the transportation industry. We help our customers identify the data they need to operate more efficiently and produce better products. With teams working across the globe, Connected Services creates and delivers solutions that combine comprehensive data acquisition methods with powerful edge and cloud computing architecture resulting in an enterprise-class solution for fleet management, product development, connected vehicle and data exchange applications.Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law." "Senior Data Scientist, Business Analytics","Mountain View, CA 94041",Intuit,"We are looking for a great data scientist for our Quickbooks Online (QBO) business. Quickbooks is used by over 5MM SMBs globally to run their businesses and we are the team responsible for using our data to answer the most critical questions facing the QBO Product Managers and Marketers. Everything from understanding the trends in our subscriber growth to shaping our product strategy through A/B testing and more happens within our team and we need top data scientists to help the business deliver the best possible product to our SMB customers. We are growing rapidly and need great people to support our analytical efforts in both Product and Marketing. What does it take to thrive on our team? You need to be a top-notch problem solver and problem identifier as there are no points for an elegant solution to the wrong problem. It’s also a good idea to know the standard suite of analytical tools - SQL, R/Python, some sort of data visualization tool - but more importantly you must know how to learn tools quickly. We also often find that having a bit of a software engineering mindset is valued too - much like good software solutions, good analytical solutions are scalable and repeatable as this is what allows us to solve a problem once and go tackle the next one. Last, knowing that in most cases done is better than perfect is important - getting the current problem right to the sixth decimal place is almost always less impactful than getting to the next problem." Data Scientist,"Brookfield, WI 53005",Milliman,"Job Details Description Milliman is seeking a Data Scientist major to join our Milliman M-PIRe team to build data-driven tools that provide insight to clients investing in the mortgage market. M-PIRe is an industry leading Software as a Service tool that deploys advanced proprietary models and machine learning algorithms to develop unique insights into mortgage investment opportunities. The Data Scientist will maintain and develop the algorithms as well as interpret the information along with the current data science team to continue the development of industry leading tools. Milliman is one of the leading experts in evaluating mortgage collateral for government agencies, mortgage lenders, insurers, reinsurers, and investors. Our consulting work is supported by a powerful toolkit of data analytics solutions informed by years of in depth work in the mortgage industry. Role The Data Scientist will support and/or lead initiatives primarily related to empirical model development, monitoring, maintenance, documentation, and governance of the suite of models underlying M-PIRe. Specific areas of focus may include but are not limited to the modeling of: mortgage prepayments, mortgage interest rates, mortgage delinquencies and foreclosures, mortgage production and margins, as well as credit risk transfer valuations including stochastic valuation modeling. Methodologies and algorithms currently used include logistic regression, XGBoost, and linear regression. Additional algorithms should be researched and evaluated as part of the role. The Data Scientist will be responsible for designing and developing high quality modeling solutions from simple data analysis to deploying complex statistical techniques. The Data Scientist must be adept at managing competing priorities, advancing multiple projects concurrently, working with project managers, and mentoring more junior team members. Qualifications Required: Experience: Requires 3 to 5 years of advanced data science work Completion of Bachelor’s or Master’s Degree in Data Science with concentration in math, statistics, finance, economics, computer science or related field Experience executing all phases of modeling projects: identifying the potential business problem, data exploration, form hypothesis and recommendations, post implementation monitoring Interdisciplinary knowledge including finance, mathematics, statistics, and programming Understanding of principles and mathematics behind predictive and stochastic modeling Proficiency in data query and statistical tools/languages such as SAS, R, Python, SQL, or similar Experience with object oriented programming languages such as C# preferred Experience working closely with full stack .NET engineers in an Agile product development environment preferred Statistical and machine learning methods Competencies that support success in the role: Strong communication skills (both verbal and written) Ability to help identify client issues and resources needed to solve problems Analytical thinking skills to evaluate analyses for communication to clients Ability to help plan and organize work for projects Ability to teach and check work of less experienced staff Can complete project deliverables, meet deadlines, and ensure compliance with quality procedures Strong time management skills Ability to work independently and within a team Client focused and results oriented Organizational expertise and flexibility Ambition and excitement for professional development Location: This position will be based out of the Milliman office in Brookfield, WI. Applicants must be willing to work onsite in the Milliman office. Travel expenses for applicants and/or relocation expenses for applicant offered the position will not be paid by Milliman Salary: The salary for this position is commensurate with experience and skills. Sponsorship: Applicants must be presently authorized to work in the United States. Milliman will not sponsor applicants for this position for the following work visas/statuses: F-1 STEM OPT, H-1B, J-1, TN, O-1, L-1, or E-1/2. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)" Data Scientist II,"Los Angeles, CA 90017 (Westlake area)",L.A. Care Health Plan,"Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation’s largest publicly operated health plan. Serving more than 2 million members in five health plans, we make sure our members get the right care at the right place at the right time. Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose. Job Summary The Data Scientist II is responsible for supporting L.A. Care’s strategic business initiatives through the application of predictive analytics as part of production workflows. This individual will lead projects through the iterative data science process (Stating the Question > Exploratory Data Analysis > Model Building > Interpretation > Communication > Operationalization), collaborating with business, I.T., and data subject matter experts from across the enterprise. Duties Ability to query, transform, and integrate data from multiple sources and structures. Research and develop predictive learning models using modeling software. Effective communication of reproducible analyses and results (including failures), both visually and orally, in peer review and customer settings. Collaborate and work closely with other departments to identify gaps and structure problems. Propose solutions and actionable strategies to business challenges. Work closely with domain experts (both business and data) to understand processes and solution inputs. Monitor the performance of operationalized predictive models. Perform other duties as assigned. Education Required Bachelor's Degree in Computer Science or Engineering In lieu of degree, equivalent education and/or experience may be considered. Education Preferred Master's Degree in Statistics Experience Required: At least 6-8 years of traditional data analysis, including querying, aggregation, basic statistical analysis, and visualization with the intent to provide business insights (preferably in a health plan). At least 2+ years of applied predictive modeling in a business setting (preferably in a health plan). Skills Required: Working knowledge of relational databases, database structures. Proficiency in Apache Spark, R and SQL (Tableau, Python, and SAS a plus). Exploratory data analysis capabilities to understand the data. e.g., estimates of location and variability, correlation matrices, feature comparison visualization, trend analysis. Regression and classification predictive model development and interpretation using: Heuristic/traditional techniques. e.g., linear regression, logistic regression, Naïve Bayes; Supervised machine learning techniques. e.g., decision trees, bootstrap aggregation, boosting, deep learning; Unsupervised machine learning techniques. e.g., k-means clustering, principal component analysis, hierarchical clustering. Working optimally as part of a cross-functional team. Ability to initiate and drive projects to completion with minimal guidance. Ability to problem solve and quickly find solutions on your own. Strong interpersonal skills, including the ability to influence management at various levels of the organizations. Licenses/Certifications Required Licenses/Certifications Preferred Required Training Additional InformationL.A. Care offers a wide range of benefits including Paid Time Off (PTO) Tuition Reimbursement Retirement Plans Medical, Dental and Vision Wellness Program Volunteer Time Off (VTO)" Data Scientist Summer Intern,"Jersey City, NJ",Aspire Lifestyles,"Aspire Lifestyles Hiring Summer Intern - Data ScientistAspire Lifestyles is a global leader and concierge industry pioneer with nearly 30 years of experience designing and managing high performance concierge programs and customer loyalty solutions. At Aspire Lifestyles we pride ourselves on delivering extraordinary moments that our customers will talk about for years to come. If you are looking for a job where a passion for innovation, a culture of teamwork, and opportunities for growth are valued and rewarded? You’ve come to the right place. Here at Aspire Lifestyles we promote within, we value a work-life-balance and have a management team that is open to new ideas. Design & Build Machine Learning Models and More!Aspire Lifestyles, a global leader in Lifestyle and Travel services, is seeking someone eager to contribute their skills and spend the summer as a Data Scientist Intern. The responsbilities while in this position will be: Help in building Machine learning Chatbot that provides recommendation for Lifestyle requests Design & Build Machine Learning models to build performance management & capacity models Most suitable individual for the position will have the following qualifications: Experience with currently available data science Frameworks. Experience in genetic algorithms, logistic and linear regression, PCA, decision tree analysis and statistical methods Experience with SQL Server, Strong familiarity and hands-on experience with SQL and statistical software packages (Python, R). Able to analyze problems and strategize for better solutions Experience with Cloud platform tools like AWS Sagemaker. Up-to-date on the latest industry trends; able to articulate trends and potential clearly and confidently Good interpersonal skills and communication with all levels of management The internship will begin on June 1, 2020 and will end on or around August 7, 2020. The individual selected for this role will be available to work six (6) hours days and 5 days a week. Work from home 4 days each week and come into the Jersey City office 1 day each week. If you are currently enrolled in school and are looking for an internship to bring your experience to the next level in Data Science, then apply today! Equal Employment Opportunity Employer" Data Scientist,"San Diego, CA",Veyo Logistics,"Veyo is using its platform and app-based transportation services to reinvent the medical logistics world. Our company is using technology to pioneer new operational models to help make transportation more powerful and more reliable for the healthcare industry. When you work at Veyo, you’re helping to solve one of the nation’s growing healthcare challenges - ensuring patients get to and from their medical appointments, safely and on-time. We are using smart design and innovative technology to make patient transportation safer and more connected. In the process, we’re transforming the entire industry. We’re looking for smart, fun-loving people to join our team, and are currently in search for a Data Engineer to join our team in sunny San Diego. Read on, and if you think you’d be a good fit, please send us a resume. What you can expect: Use technology to help people lead healthier lives Work with an incredibly talented, intelligent team Ability to try out new technologies to gauge fit for business needs Encouragement to grow professionally and personally – attend conferences, give knowledge sharing presentations, pick your career path What we’ll expect from you: Be committed to the health and safety of our passengers Help shape the strategy and direction of the company and an industry Solve algorithmic problems in the logistics, healthcare and operations space through research, experiments and development and support deployment of these solutions into a real world environment Entrepreneurial. Everywhere you go, you can’t help but mobilize people, build things, solve problems, roll up your sleeves, go above and beyond, raise the bar. You are an insatiable doer and driver Ability to effectively collaborate with and communicate complex concepts to both technical and non-technical audiences at all levels, from C-Level to individual contributors. Understand the latest industrial and academic developments in AI/ML, and apply it to create prototypes for demonstration Work with development teams to mature these algorithms into production quality programs Do applied research on a wide array of Operations research and machine learning projects. Required Skills: Advanced degree in Statistics, Applied Mathematics, Operations Research, Computer Science, or a related quantitative field. 5+ years of experience crafting advanced models and familiar with statistical methods applied to large data sets Proven experience with optimization libraries, scripting languages (Python, R, etc.), SQL and statistical tools, major object-oriented programming languages, and simulation software Familiar with the Microsoft stack C#, .Net 4.5 is a plus Familiarity with GoLang is a plus We like the following personality traits: Friendly, social, outgoing, positive, passionate, cool under pressure, detail-oriented, deadline oriented, quick learner, multi-tasker, great sense of humor. We’re looking for people that love the opportunity to be involved in strategy and management at the top level, but also aren’t scared to get their hands dirty and do what needs to be done to make things happen! We move quickly, and our team doesn’t know the meaning of “not my job.” We want people that want to get things done and can check their ego at the door. We thank all applicants for their interest and effort in applying for this position. This position is only for candidates legally allowed to work in the US. EOE. Veyo is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Additionally, Veyo participates in the E-Verify program for all locations." "Data Scientist, Forecasting","San Francisco, CA 94105 (Financial District area)",Geli,"Job Summary Geli is looking for an experienced Data Scientist with a strong software development background in Python to join a driven data analytics team. Your primary responsibility will be to lead the development of our time series forecasting models for solar and energy consumption using machine learning techniques. Our data analytics and cloud platforms use state-of-the-art technologies to set you up for success. As data science is at the core of Geli, you will have plenty of opportunities to contribute to the software development of our other energy storage products. Role You will work closely with software and analytics engineers focusing on these topics: Lead the development of our time series forecasting algorithms, which includes: Feature engineering Prototyping new algorithms Benchmarking performance across various load profiles Integrating new forecasting algorithms into our production code base with robust test coverage Collaborate with the rest of the team to assess how forecasts can be adjusted for various economic objectives. Proactively identify opportunities within Geli that can benefit from data science analysis and present those findings. Work collaboratively in a diverse environment. We commit to reaching better decisions by respecting opinions and working through disagreements. Gain in depth experience in an exciting industry as you work with storage sizing, energy financial models, energy tariffs, storage controls & monitoring. Growth Opportunity: Geli's engineering is a flat organization and you will directly report to the VP of Engineering. There are opportunities to lead teams, projects and/or become a scrum master. Your Profile We are looking for a motivated self-starter that thrives in a dynamic start-up environment. A strong work ethic with excellent problem solving skills are equally important as being a team player who enjoys to learn and teach. These skills will additionally help you to excel in the position: BS or higher degree with 2+ years of relevant experience Knowledge of machine learning algorithms (time series forecasting, clustering algorithms, probabilistic models, supervised and unsupervised learning) Experience with time series analysis and forecasting (LSTM, ARIMA, GARCH) Strong background in linear algebra and statistics Advanced Python skills, as well as familiarity with pandas and scikit-learn Software design experience and ability to write clean, maintainable and shippable production code Bonus Points Experience in some of these fields will give you a jump start: PyTorch, Keras, Tensorflow Training models on AWS PostgreSQL, Redis Slack, Bitbucket, Jira Jenkins, Buildkite Knowledge of Cloud, IoT technologies, and scalable platforms As a member of the team you will have significant influence on the direction of our technology stack. Benefits Make a difference: join a group of people who are passionate about renewable energy Have an impact: the company is still small enough that everyone's contribution has a significant impact to the success of the company Growth: leading international energy OEMs, developers and utilities trust us to modernize the trillion dollar energy industry with them and we need to grow to keep up with the demand Casual working environment: there's no need to dress up. Competitive salary and equity compensation plan 401K with company matching Medical, dental & vision insurance Open vacation policy Commuter reimbursement Convenient SOMA location on Mission St in downtown San Francisco (short walk to Montgomery Street BART) Diversity We value the insights that a diverse team brings. We encourage applications from members of groups that have been traditionally underrepresented in tech. Geli is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. About Geli Geli provides software and business solutions to design, automate, and manage energy storage systems. Geli's suite of products creates an ecosystem where project developers, OEMs, financiers, and project operators can deploy advanced energy projects using a seamless hardware-agnostic platform. Geli is a Series A company whose software actively manages megawatts of projects that are deployed around the world. m8qZxOVhqz" Data Scientist,"Washington, DC 20535 (Penn Quarter area)",Federal Bureau of Investigation,"Position: Data Scientist, GS-13/14 Division: Inspection Division Unit: Compliance & Mitigation Location: Washington, D.C. Working Hours: 8:00am - 4:30pm (flexible) Salary: GS-13, $102,663-$133,465.00 GS-14, $121,316-$157,709.00 Full Performance level: GS-14 Number of Positions Available: 1 Duration: Full Time/Permanent Additional selections may be made from this announcement to fill positions within the same division when the position includes substantially the same duties, responsibilities, and qualifications. Unit Description Compliance and Mitigation Unit (CAMU) ensures compliance and risk mitigation through audits and inspections of high risk program areas. CAMU proactively mitigate risks, and determines best practices associated with FBI enterprise programs. CAMU takes a collaborative, consultative approach to ensure compliance by evaluating and assessing regulations/policies, case management/investigations, training and communications, business processes, and governance/leadership to mitigate risks within FBI programs. Key RequirementsMust be a U.S. citizen Must be able to obtain a Top Secret clearance Major Duties GS-13:Develops and maintains proficiency in Information Technology databases and programs in order to perform data normalization, data analytics, trend analysis, and data exploitation to facilitate identification and visualization of compliance errors.Uses advanced knowledge of network technology, knowledge of computer languages, and other technical skills to automate manual data input tasks.Designs data management solutions to maintain and track the status of audit observations. Facilitates follow-up on recommendations/instructions to ensure appropriate and timely actions are taken to mitigate risks or correct compliance errors.Develops report representations to present complex data topics.Collects, organizes, analyzes, and disseminates information with attention to detail and accuracy. GS-14: In addition to the above, the selectee: Uses exceptional oral and written communication skills to interact with others, prepare reports, and make presentations to management.Ability to work with minimal supervision in the retrieval, normalization, and analysis of large quantities of data. Consults with others to clarify data needs and identify appropriate data sources.Plans, designs and develops methodologies to evaluate data and determine relevant patterns Qualifications and Evaluations Please make sure your specialized experience/requirement(s) can be identified in your resume. Applicants must meet the qualification requirements by the closing date of this announcement. Your application will be evaluated and rated under the FBI’s Candidate Rating Procedures. Your resume and supporting documentation will be used to determine whether you meet the job qualifications listed in this announcement and will be compared to your responses to the online assessment questionnaire. High self-assessment in the vacancy questions that is not supported by information in your resume, and/or supporting documents may eliminate you from Most Competitive status. If you are deemed Most Competitive, you will be referred to the selecting official for further consideration. Specialized Experience (SE): GS-13: Applicant must possess at least one (1) year of specialized experience equivalent to the GS-12 grade level. SE is defined as follows:Experience evaluating data by utilizing range of mathematical tools, models, methods and techniques. Experience working with data analysis and manipulation, data cleansing and segmentation techniques. Experience acquiring, processing and measuring data for research purposes. GS-14: Applicant must possess at least one (1) year of specialized experience equivalent to the GS-13 grade level. SE is defined as follows:Experience managing projects from inception to completion including: development of project plans, milestones, and assessment of project results. Experience establishing and maintaining liaison with FBIHQ divisions to assess data requirements and design programs, systems, and processes to maintain, manipulate, and exploit data. Positive Education Requirement This position has a specific education requirement; all applicants must verify completion of this basic educational requirement by submitting a copy of their college transcripts by the closing date of the vacancy announcement. BASIC REQUIREMENTS: ALL APLICANTS MUST MEET THE BASIC REQUIREMENTS BELOW: A. Degree: Mathematics, Statistics, or Actuarial Science. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR B. Combination of education and experience: Courses equivalent to a major field of study as shown in paragraph A above, plus additional education or appropriate experience. Education completed in foreign colleges or universities may be used to meet the above requirements provided you can show foreign education is comparable to that received in an accredited educational institution in the United States. YOU MUST SUBMIT A COPY OF YOUR TRANSCRIPTS TO DOCUMENT THAT YOU HAVE MET THE EDUCATION REQUIREMENT. UNOFFICIAL TRANSCRIPTS WILL BE ACCEPTED IN THE APPLICATION; HOWEVER, OFFICIAL TRANSCRIPTS WILL BE REQUIRED PRIOR TO BEGINNING EMPLOYMENT. Required Documents To apply to this position, interested applicants must provide a complete application package by the closing date. The following items are REQUIRED:Your resume, specifically noting relevant work experience and associated start and end dates. A complete assessment questionnaire. College transcripts. All applicants will be rated on the following Competencies:Advanced Mathematical Reason Algorithms Analytic Thinking Data Analysis Project Management Technology Application How to Apply For detailed instructions related to applying, uploading documents, withdrawing an application or updating your application, please review instructions on" Data Scientist,"New York, NY",viagogo,"viagogo is an industry-leading entertainment marketplace dedicated to helping people attend their favorite live events. We are expecting rapid growth after acquiring Stubhub. Our team of data scientists uses data to automate manual processes and human decisions. This function is crucial to scaling our business across all geographies, languages, and currencies. You'll mine rich data sets and find insights that will drive the decisions that power our platform. Every piece of work you complete will tie directly into a business goal so you can measure the impact you have on viagogo. About You:Love to have an impact, learn from the best, and help people access unforgettable experiences Currently pursuing or recently completed a degree in a quantitative field like statistics, mathematics, computer sciences, or engineering Have familiarity with using tools like Python, SQL, or R Initially, you'll learn:   How to present findings and make decisions with a real commercial impact How to explore and find meaning in extremely high volumes of data How we use tools like Python, SQL, and R to analyze, visualize, and present data How to optimize coverage and efficiency of ad campaigns through search engines and social media platforms Best practices for designing, running, and analyzing feature experiments (A/B tests) What your team's goals are and how to achieve them Your Growth Path:Receive mentorship and a clear path for growing your technical and leadership skills Be given autonomy to make decisions regarding experiments and tests Demonstrated results and increasing ownership are rewarded What we offer:An environment where you can quickly grow your skills, autonomy, and knowledge A+ Compensation Package, including stock incentives Paid Time Off, 401k, Health, Vision, and Dental Insurance Dog friendly office, weekly lunches, office snacks, and team events   About Data Science at viagogo: Rather than having a compartmentalized team of data scientists, our data scientists are embedded into cross-functional groups. viagogo's agile teams consist of data scientists, engineers, analysts, and product managers who achieve success through their collaborative culture and entrepreneurial mindset. We are a multicultural, diverse team that values a coactive approach to making data-driven decisions. About viagogo: viagogo is the leading global marketplace for music, sports, and entertainment tickets. We have acquired StubHub and look forward to our continued market leadership. Despite our rapid growth while revolutionizing a 100-billion-dollar industry, we maintain our start-up ethos and data-driven, collaborative culture. We believe that small, cross-functional teams can achieve extraordinary results. Fans from nearly every country in the world can find millions of tickets to their favorite events in the language, currency, and with the device of their choice. We provide the widest possible choice of tickets to events around the world and help ticket sellers reach a global audience. viagogo has partnered with many of the world's leading brands in sports and entertainment while helping fans access unforgettable experiences. We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status." Data Scientist,"Seattle, WA",ERNIESYS,"Number of openings | 01 Job ID | 2019-1014 Job Locations | US-WA-Seattle Position Type | Full Time/Contract Posted Date | 25/02/2019 How would you like to work in a highly dynamic Health care startup? Erniesys is looking for a Data scientist for a Healthcare startup client. The data scientist will be instrumental in advising business strategy and pricing models through extensive analysis of healthcare claims data. Must Haves Requirements A BS (preferably an MS or PhD) in a quantitative discipline (such as computer science, mathematics, physics, statistics, or a related field). Several years of experience using quantitative methods to solve complex, meaningful analytical problems. Ability with programming languages (such as Python, Ruby, Java) and other technologies to do rapid design, prototyping, analysis, simulation of, and experimentation with, advanced algorithms and applications. Understanding of applied mathematics and statistics. Passion for improving the lives of our users. Working with the massive datasets, information, and knowledge being collected to help drive innovation and enhance user experience. Making recommendations on the business direction to various stakeholders within the company. Managing rapid business growth by developing and executing data analyses. Developing, implementing, and maintaining tools and reporting methods to support the company’s business objectives." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Amway Data Scientist Internship,"Ada, MI",Amway Inc.,"About Our Internship Program: Here at Amway, our interns develop through real world experience and are assigned meaningful projects that challenge and allow for personal growth. All Interns receive project support and on-going performance feedback from a person advisor and hiring manager. Amway hosts over 80+ interns each summer and offers programming events designed to assist navigating Amway culture, making the most of a summer internship, and building a successful career. The program provides exposure to a breadth of career fields and provides unique opportunities to learn business acumen, work cross-functionally and showcase their skillsets directly to hiring managers and executives. Internship Eligibility: This job posting is for our summer 2020 Internship Program (May – August); qualified candidates must have a minimum GPA of 3.0 and one semester or more left of school to complete at the beginning of their internship. Candidates who have graduated are not eligible to intern. ** Please note, this position is not eligible for Sponsorship. Internship Job Title: Data Science Intern What is special about this team: The Data Science team supports some of the top initiatives for Amway, primarily through predictive analytics and machine learning predictive models. How would an intern contribute to the team’s success: You will work on high profile projects add/or pilot programs that will drive key strategic decisions in an objective and agile manner. You will help the team continue to advance the work being done with machine learning predictive models and will be responsible for drawing insights from large, multi-sourced data sets. An example of a typical project is: Developing machine learning models to be deployed in digital properties, designing experiments and subsequently measuring the impact of the models. What skills and background will be important to be successful in this internship: Desired Skills: Critical Thinking, ability to work independently and in a team. Effective communication and presentations skills.Desired Degree: Analytics, Data Science, Computer Science Location of Internship: Ada, Michigan" Machine Learning Internships- New Jersey (Summer 2020),"Basking Ridge, NJ 07920",Perspecta Labs,"Business Group Highlights Perspecta Labs Perspecta Labs generates transformative applied research to fuel solutions for our customers’ unique challenges. We are a self-sustaining research center within Perspecta that provides applied research and engineering to enable government agencies, utilities and commercial enterprises to fully exploit the future of communications, analytics and cyber security. Responsibilities We're seeking a Machine Learning Intern for Summer 2020 for our new Lab inBasking Ridge, NJ. Perspecta Labs delivers world class ML research and engineering to government agencies, telecom carriers, utilities, and commercial enterprises. Drawing on its Bell Labs heritage, Perspecta Labs excels at creating innovative technologies and services to solve the most difficult and complex problems, shaping the state of the art in government and commercial cyber security and Machine Learning. The successful candidate will collaborate with a group of senior researchers. The responsibilities include design and development of advanced algorithms in the fields of optimization and machine learning. Qualifications Requires High School level plus some advanced training. 2-3 years of experience. Ability and desire to quickly acquire knowledge of new subject matter areas Experience in one or more of the following languages: C, C++, Python, Java U.S. Citizens strongly preferred - permanent residents may be considered if highly qualified About Perspecta What matters to our nation, is what matters to us. At Perspecta, everything we do, from conducting innovative research to cultivating strong relationships, supports one imperative: ensuring that your work succeeds. Our company was formed to bring a broad array of capabilities to all parts of the public sector—from investigative services and IT strategy to systems work and next-generation engineering. Our promise is simple: never stop solving our nation’s most complex challenges. And with a workforce of approximately 14,000, more than 48 percent of which is cleared, we have been trusted to just that, as a partner of choice across the entire sector. Perspecta is an AA/EEO Employer - Minorities/Women/Veterans/Disabled and other protected categories. Options Apply for this job onlineApply Share Email this job to a friendRefer Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. Share on your newsfeed As a government contractor, Perspecta abides by the following provision PAY TRANSPARENCY NONDISCRIMINATION PROVISION The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)" Data Scientist,"Chicago, IL 60604 (The Loop area)",Army Enterprise Marketing Office,"Serve in the office responsible for the Army's national level marketing efforts. Provide strategic direction, analysis, and oversight of the program's research and data management function. Control marketing databases, and systems. Perform data analysis of marketing data to influence marketing campaigns. Present briefings and white papers, information papers, and final correspondence to senior leaders.Apply through the government's USA jobs site. Do not email me your resume. All interviews will be drawn from those who submit their application as instructed - through the GSA jobs site:https://www.usajobs.gov/GetJob/ViewDetails/561046700USA Jobs is a unique application system. Please allow yourself time to tailor your application according to the system's requirements (you cannot simply upload your standard resume or CV - you won't get an interview).Tips for using USA Jobs can be found here:https://www.job-hunt.org/federal-government-job-search/escape-USAJOBS-resume-black-hole.shtmlJob Type: Full-timeSalary: $140,000.00 to $170,800.00 /hourWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planParental leaveThis Company Describes Its Culture as:Innovative -- innovative and risk-takingTeam-oriented -- cooperative and collaborativeSchedule:Monday to Friday" Data Scientist/Developer I,"Boston, MA 02114 (West End area)",Massachusetts General Hospital(MGH),"About this Job We are looking for data scientists with good background in math/engineering to design and implement new data exploration techniques for real healthcare environments. Come join us! The Medical Analytics Group at Massachusetts General Hospital delivers data-driven process improvement solutions to increase hospital efficiency and improve patients’ experiences. Our projects combine big data analysis with application development. Our work ensures no patients are left behind at any step of the imaging process, from the time the patient schedules their exam to the time their findings report is written and delivered. We are seeking to expand our team and are hiring individuals with strong problem solving and programming skills. Our ideal candidates are smart, creative, analytical thinkers with attention to detail. They are able to use their analytical skills to identify areas of improvement and their programming skills to develop applications to implement solutions. Strong communication skills are required to work with hospital staff and management to bring solutions into the clinical environment. Work in the Medical Analytics Group is diverse and fast paced. Our recent projects have included designing nonlinear/AI models for predicting and optimizing clinical workflow, developing indoor tracking solutions for patient localization, performing complex clinical data analyses, developing new pattern-recognition algorithms. Read more at http://mag.mgh.harvard.edu. Qualifications Required: Data analysis algorithms (modeling, forecasting) and programming using Matab, R, or PythonKnowledge of machine-learning principles Knowledge of statistics and theory of probabilities Knowledge of C, C++, or Java programming Strong verbal and written communication skills Preferred: Familiarity with SQL programming Practical knowledge of numerical optimization algorithmsMaster's Degree required in Computer Science, Engineering, Statistics, Math, or related quantitative discipline. EEO Statement Massachusetts General Hospital is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged. Primary Location: MA-Boston-MGH 175 Cambridge Work Locations: MGH 175 Cambridge 175 Cambridge Street Boston 02114 Job: Other Organization: Massachusetts General Hospital(MGH) Schedule: Full-time Standard Hours: 40 Shift: Day Job Employee Status: Regular Recruiting Department: MGH Radiology Research Job Posting: Mar 10, 2020" "Data Scientist, Operations Data Science","Mountain View, CA",Google,"Minimum qualifications: Master's degree in Operations Research, Industrial Engineering, Statistics, related field, or equivalent practical experience. 2 years of relevant work experience (e.g., as a data scientist) or equivalent. Analytical engagements outside class work while at school can be included. Experience with statistical software (e.g., R, Python) and database languages (e.g., SQL) Preferred qualifications: PhD in Operations Research, Industrial Engineering, Statistics or related field. 4 years of relevant work experience (e.g., as a data scientist), including experience applying advanced analytics to planning and infrastructure problems. Experience designing and building statistical forecasting models. Experience designing and building machine learning models. Excellent problem-framing, problem-solving and project management skills. Excellent customer service and team collaboration skills. About the job At Google, data drives all of our decision-making. Data Scientists work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical rigor and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. As a member of the Operations Data Science team, you will apply operations research and statistical methods to solve challenges related to compute, storage, network, and datacenter capacity for both Google’s internal services and Google Cloud Platform. You will work broadly across Google’s Platforms Engineering, Systems Infrastructure, and Site Reliability Engineering teams to optimize our deployment of resources and drive innovation in our software stack, allowing for efficient use of resources. As a Data Scientist, you will think critically and strategically about Google’s cloud as a technology, a business, and as an operation. You will be comfortable discussing total cost of management with hardware engineers, resource optimization with software engineers, or reviewing fleet plans and deployment policies with operations executives, all based upon the analytical models that you will be developing. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We're always on call to keep our networks up and running, ensuring our users have the best and fastest experience possible. ResponsibilitiesLead projects with hands-on analysis and modeling, drawing from multiple of analytical methods to choose the right tool and right level of complexity appropriate for the business challenges. Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact. Identify and communicate the challenges and opportunities that the group should be working on. Help define the analytical direction and influence the direction of the associated engineering and infrastructure work. Articulate business questions and use mathematical techniques to arrive at an answer using data. Translate analysis results into business recommendations. At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form." Data Scientist,"New York, NY","Remedy BPCI Partners, LLC.","DS/ML stack: Languages: Python, Spark, SQL Algorithms: Classifications, Regressions, Neural Networks, Time series, Graphs Infrastructure: AWS (EMR, EC2, S3, etc) Visualization: Tableau or similar What will you do? Develop and/or use various algorithms to build predictive models within a healthcare (e.g. risk of readmission to hospital). Collaborates with business & product teams to understand their problems and goals, develop predictive modeling approaches, statistical analysis, data reports and performance metrics. Performs analyses of structured and unstructured data to solve multiple and/or complex business problems using advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry. Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions. Use strong programming skills to explore, examine and interpret large volumes of data in various forms. Comfortable reading academic oriented literature and collaborating with subject matter experts to inform better predictive models. We are looking for someone with: 3+ year’s professional experience as a data scientist or machine learning engineer 1+ year’s professional experience working with big data and relational databases Strong hands-on modeling experience building predictive models Strong knowledge of advanced applied data science (machine learning, neural networks, etc.), mathematical modeling, computational, statistical, data mining techniques (regression, decision trees, clustering etc.), and dimensionality reduction techniques. Strong experience with data manipulation, analysis and visualization. Strong experience mentoring junior colleagues Advanced degree in physics, applied mathematics, statistics or a related field is preferred Healthcare industry experience is a plus About Signify Health Signify Health partners with leading health plans, healthcare providers, biotechnology and pharmaceutical companies, and technology companies to improve the quality of life by providing comprehensive care where and when it's needed most. In addition, Signify Health delivers software and services that enable payers, employers and at-risk providers to organize and finance healthcare delivery around a patient’s episode of care. With an innovative logistics and clinical workflow technology platform, exhaustive data set, and an unparalleled national clinical network, the company provides tech-enabled care services to vulnerable populations within the routine of their daily lives to improve health and quality of life. Signify Health delivers its services to partners at more than 1,000 healthcare locations nationwide and serves well over one million health plan members each year, providing health risk evaluations, complex care management, outcomes-based pharma services, and specialized medical services in the home and other convenient locations. Signify Health has multiple offices in Texas with additional locations in Connecticut, New York and South Dakota. To learn more, please visit www.signifyhealth.com." Intern- Analytics & Data Science - Fall 2020,"Phoenix, AZ 85021 (North Mountain area)",Blue Cross Blue Shield of Arizona,"INTERN – Performs job Functions under general supervision or peer review Assist with analyses in support of providing analytical solutions to current and new projects. Contribute to ad-hoc projects. Assist in creating and modifying reports. Participate in transforming data into meaningful and actionable information. Validate accuracy of files and analysis. Be aware of standards and be able to explain if results deviate from those standards, and why. Find solutions to basic problems, and finding more efficient ways in delivering quality products and analyses. Employment Requirements Required Work Experience College-level coursework related to actuarial science, mathematics, economics, statistics, analytics, data science, healthcare administration, biostatistics, healthcare innovation, or related field Required Education High-School Diploma or GED in general field of study At least 2 years attendance at an accredited school pursuing a Bachelor’s or Master’s degree in a relevant field to these listed above. Required Licenses N/A Required Certifications N/A Required Job Skills Basic skill in use of office equipment, including computers, phones, printers, etc Basic proficiency in PC, databases, presentations, and word processing software Basic proficiency in spreadsheet software Required Professional Competencies Ability to understand problems and approach solutions using basic mathematical modeling. Ability to maintain confidentiality and privacy. Ability to research questions and understand if derived answers are reasonable." Data Scientist,"Boston, MA",Reputation Institute,"Office Location| Boston, US Reputation Institute helps leaders at the world's largest companies build credibility with the people that matter most —by delivering data-driven insights about how they are truly perceived. We do this with RepTrak®, an unrivaled technology that provides actionable insights encompassing industry, competitors, and company-level analysis. We are looking for a highly qualified and motivated Senior Data Scientist to work with challenging real world problems on big temporal data. As part of the Product Methodology team, you will be responsible for developing pseudo-real time solutions to deal with challenging real-world problems on big temporal data, collaborating in a cross-functional team, including data scientists, software engineers, and project managers. Professional Qualifications A Ph.D. in Computer Science, or Mathematics, or Physics. Excellent knowledge of Supervised methods (Classification, Regression) and Unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction) Excellent knowledge of Python and SQL Knowledge of the most important Python libraries for Data Analysis and Machine Learning (scikitlearn, Pandas, matplotlib, Numpy, Scipy) Experience with distributed version control systems (Github and/or Bitbucket). Experience with Deep Learning (Recurrent Neural Networks, Convolutional Neural Networks, and Autoencoders) Experience with Keras or PyTorch Able to find creative solutions to interesting problems Curious with a constant desire to learn and collaborate Compensation ------------ This role encompasses a compensation package including a competitive salary and a semi-annual performance bonus plan. RI offers a full benefits program including company holidays, paid vacation, and more global perks like free books, free diapers for newborns, gym membership and more! Reputation Institute is committed to diversity in the workplace and is an Equal Opportunity Employer. For more information, please visit our website at www.reputationinstitute.com ( http://www.reputationinstitute.com ) or check us out on social media." Data Scientist,"Burlingame, CA 94010",Finrise,"Who you are The first Data Scientist at Finrise will play an imperative role in enabling patient financing for out-of-pocket healthcare expenses. You recognize that 56% of Americans with a less than ideal FICO Score need new ways to evaluate creditworthiness in efficient and holistic ways. You’re excited about tackling technical problems that most wouldn’t dare touch. Working with unstructured and nontraditional data doesn’t scare you. Data science, predictive models, and statistics are second nature. You excel in building machine learning systems, conducting foolproof analyses, and leading cross functional projects. While banks are busy evaluating 30-year-old FICO scores, created before a time of the internet and smartphones, you’re building models which will decide who to lend to in real-time. Instead of hiring hundreds of people to manually review, you’re adding new data points to ensure accurate scoring. You’re hands-on, creative, and hyper-analytical. You understand that the ultimate measurement of success is enabling patients to afford care in a time of need, with a fair rate, in terms they understand. At the end of the day, you want to change the way credit is evaluated. What you'll be doing Designing and developing core machine learning infrastructure Conducting statistical analyses to assess the value of new data points and vendors Building and deploying production risk models to improve Finrise patient underwriting Hiring and leading a team of best-in-class data scientists What you should already have Background in mathematics, statistics, or engineering Some understanding of credit and/or risk underwriting Bachelors required; Advanced degree preferred Strong programming ability, preferably in Python Deep understanding of machine learning and mathematics A scrappy team player with an ability to thrive and effectively communicate in a fast-paced, numbers focused environment Interested? Send us an email to careers@finrise.com" Sr. Data Scientist,"Allen, TX 75013",Frontier Communications,"About Frontier Communications Frontier® Communications provides communications services to urban, suburban, and rural communities in 29 states. Frontier offers a variety of services to residential customers over its FiOS® and Vantage™ fiber-optic and copper networks, including video, high-speed internet, advanced voice, and Frontier Secure® digital protection solutions. Frontier Business™ offers communications solutions to small, medium, and enterprise businesses. Senior Data Scientist - Job Description As a senior data scientist, you will be responsible for developing and delivering quality predictive models to create products and services that improve the state of the Frontier network and elevate customer experience. You will be analyzing communications data, and train predictive models improve the Frontier network. You will have the opportunity to work with a small high impact team and bring AI into an industry that has not fully captured the potential of AI. As dedicated data scientists, you will be working with large datasets that generate within the organization. These datasets consist of but are not limited to, IoT data, customer interaction data, and ISP network data. You will be working closely with senior management to understand business requirements and use cases that can be solved using machine learning approaches. You must work closely with data engineers to collect, process, and transform datasets to be used in statistical and predictive modeling experiments Propose solutions to identified use cases using predictive modeling. Design and train machine learning models and generate high accuracy predictions. Designing and execute experiments iteratively to improve the accuracy of model predictions. Debug and analyze model performance and provide solutions to improve them. You will be responsible for analyzing model performance and failure points and proposing/ implementing solutions for each of those points. Working closely with engineering and product teams to scale prediction models into production and integrate within the existing workflows. Qualifications Minimum: Master’s Degree in a quantitative field (Statistics, Mathematics, Computer Science, Machine Learning etc.) or relevant experience. 3+ years of industry experience in predictive modeling and data analysis Experience in analyzing and visualizing big data sets Experience in building deep learning models Strong background in python language (and R, C/C++) Deep understanding of a modern machine learning framework (TensorFlow, PyTorch, scikit learn) Working knowledge in Linux environments Preferred: PhD in Statistics, Mathematics, or Computer Science (Data Science, Machine Learning, AI) Exposure to industry or academic research (peer review publications) Experience in cloud computing technologies (GCP, AWS) Experience in CNNs and RNNs Experience in deploying ML models to production environments Working knowledge of computer networking Experience in analyzing ISP IoT data" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Data Scientist Advanced Analytics,"Hershey, PA 17033",The Hershey Company,"Job Location: 19 E. Chocolate Ave. Hershey, PA 17033Job Summary:This role is part of an organization that uncovers insights to benefit Hershey’s consumers, shoppers, employees, and retailers. Hershey’s Advanced Analytics group provides insights and recommendations that impact multiple facets of the business – from Marketing to R&D. You’ll be part of a team that goes beyond basic analysis, exploring traditional and non-traditional data sets while leveraging new and innovative technologies. The ideal candidate will have a close attention to detail, ability to decompose complex problems, possess strong analytical acumen and a high level of intellectual curiosity. This position must establish him/herself as a subject matter expert and valued consultant with numerous client groups to provide unbiased, objective analyses to inform business decisions.Role Responsibilities: Conducting root cause analysis on issues and forecasts that have significant impact on Hershey’s business and strategy Creating predictive and prescriptive models to enable scenario planning Identifying growth opportunities via analytical models Creating ad hoc, inferential models to explain business results and causal driversQualifications: Master’s degree in a STEM field is required Minimum of 1-3 years of related statistics and/or market research experience Programming experience (preferably in R and/or Python) Experience in predictive and prescriptive modeling A passion for analytical problem solving Ability to work with disparate information, glean insights from the relevant data, and effectively communicate findings with key stakeholders Strong communication skills Demonstrated ability to work independently and within cross-functional teams Effective project manager who can define a business problem, retrieve and prepare the necessary data, develop suitable modeling approaches, evaluate the quality of different models, and deploy a solution that meets end-user criteria. The Hershey Company is an Equal Opportunity Employer. The policy of The Hershey Company is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's race, color, gender, age, national origin, religion, citizenship status, marital status, sexual orientation, gender identity, transgender status, physical or mental disability, protected veteran status, genetic information, pregnancy, or any other categories protected by applicable federal, state or local laws.The Hershey Company is an Equal Opportunity Employer - Minority/Female/Disabled/Protected Veterans" DATA SCIENTIST,"Denver, CO 80202 (Central Business District area)",Decentrix,"Decentrix offers an exciting opportunity to individuals with the right skill set and background to join our elite team and work with the most advanced data science and analytics technologies. As a data scientist, you create value by discovering actionable business insights and opportunities through scientific research and data-driven inquiry. You are an innovative thinker with the ability to gain deep understanding of complex business processes, iteratively build and test intelligent solutions that are both mathematically robust and contextually valid to the business, and present insights and recommendations in a way that can be easily understood and acted on by key decision-makers. You possess a highly diverse skillset, including expertise in statistics, systems thinking, software development, user experience, and data engineering. You also have excellent data storytelling and written/oral communication skills. Position Responsibilities: Build and maintain a deep knowledge of the media industry Combine domain knowledge, statistics, machine learning, and software engineering skills to create intuitive tools and analyses to address industry opportunities Collaborate with a team of software architects, data scientists, data engineers, and project managers to build and maintain our portfolio of products Guide product development from R&D to implementation Research academic literature to stay on the forefront of media and data science Foster a culture of continuous learning and experimentation Technical Proficiencies Advanced degree (Masters/PhD) in business analytics, data science, computer science, statistics, or an equivalent quantitative and technical discipline Experience with hypothesis testing, machine learning, and visualization Proficiency in one or more of: Python, R, Scala, Java, C# (Python and/or Scala strongly preferred) Expert proficiency collecting, assembling, and analyzing large datasets from relational and non-relational data sources Understanding of distributed computing and cloud architecture Experience with Big Data technologies (Spark, Storm, Kafka, etc.) very desirable Knowledge of econometrics, revenue management, non-parametric statistics, and Monte Carlo simulation favorably considered Personal Strong technical and organizational leadership to engage in product development and architecture discussions Creativity to “think outside the box” and develop novel solutions to challenging problems An interest in change management and human psychology Excellent data storytelling and presentation skills The ability to thrive in an energetic, highly collaborative organization" Junior Data Scientist,"Chesterfield, MO 63017",Berkley,"Company Details: JUNIOR DATA SCIENTIST – ENTRY LEVEL Midwest Employers Casualty (MEC) is a member of the W. R. Berkley Corporation, a fortune 500 company, rated A+ (Superior) by A.M. Best Company, based in Chesterfield, MO. We improve the quality of life for employees severely injured on the job and help companies understand and mitigate their risk for workers’ compensation injuries. MEC has a friendly, results-focused work environment. We seek employees who take initiative, are quick to adapt, are dependable, and like working as part of a team. Description As a Junior Data Scientist, you will focus on leveraging the company’s substantial data assets to deliver actionable and meaningful business insights using analytics / predictive models / machine learning / artificial intelligence. The ideal candidate will possess a strong technology background with entry to mid-level expertise in building and deploying predictive models. We are looking for a highly motivated individual with the ability to help us deliver next-generation predictive models. This position requires supporting our application infrastructure, writing code, model development, analyzing data, working with both internal and external customers, and participating in project management/project execution. The Predictive Analytics team members are passionate about continuous learning and turning that knowledge into cutting-edge analytical solutions. We strive to deliver innovative analytical tools that generate tangible business results. Responsibilities Deliver high-quality code, data analysis, and data visualization using best practices. Assist with model development, testing and deployment. Servicing the data needs of customers by providing analysis, reports and/or electronic files Analyzing internal and external data to explore various business problems and document findings. Acting as a liaison between the Predictive Analytics Group and other departments. Actively assisting with project management and project execution. Position Requirements Formal Education & Certification Advanced degree in computer science, mathematics, statistics, engineering, physics or other sciences. Education should include significant work in advanced mathematics, statistics, and/or data science. Undergraduate or graduate work in computer science is a plus. Knowledge & Experience Requires 0 to 3 years of business experience as a data scientist or in a related field. Possesses an intense curiosity and determination to explore and solve complex business problems utilizing data, technology, and analytical techniques. Ability to multitask and manage assigned work under very tight deadlines. Experience with a variety of statistical and machine learning algorithms Take high-level project requirements and formulate timelines, milestones, and tasks as part of project execution. Provide project status reports to management regarding project progress. History of working with very large databases for analytical purposes. This would include both transactional systems and data warehouse systems. Expert level understanding of SQL Databases and the SQL Programming Language – SQL Server / Oracle and including programming in T-SQL, PL/SQL or the like. Intermediate level programming experience with Python and/or R Deep understanding of information technology practices relating to data, data warehousing, ETL processes and data mining. Understanding of project management practices and approaches including waterfall and Agile methodologies. Experience with project management software such as Microsoft Team Foundation Server, Jira, etc. Experience with code management (version control) techniques utilizing tools such as Microsoft Team Foundation Server, Github, etc. Experience with UNIX and Docker Personal Attributes Excellent listening and interpersonal skills. Experience working in a team-oriented, collaborative environment. Ability to translate very complex subject matter into understandable written and oral communications. Work Conditions Occasional evening and weekend work to meet deadlines. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard or mouse, and to handle other computer components. Lifting and transporting of moderately heavy objects, such as laptop computers and reference books." Data Scientist,"Burlingame, CA 94010",Finrise,"Who you are The first Data Scientist at Finrise will play an imperative role in enabling patient financing for out-of-pocket healthcare expenses. You recognize that 56% of Americans with a less than ideal FICO Score need new ways to evaluate creditworthiness in efficient and holistic ways. You’re excited about tackling technical problems that most wouldn’t dare touch. Working with unstructured and nontraditional data doesn’t scare you. Data science, predictive models, and statistics are second nature. You excel in building machine learning systems, conducting foolproof analyses, and leading cross functional projects. While banks are busy evaluating 30-year-old FICO scores, created before a time of the internet and smartphones, you’re building models which will decide who to lend to in real-time. Instead of hiring hundreds of people to manually review, you’re adding new data points to ensure accurate scoring. You’re hands-on, creative, and hyper-analytical. You understand that the ultimate measurement of success is enabling patients to afford care in a time of need, with a fair rate, in terms they understand. At the end of the day, you want to change the way credit is evaluated. What you'll be doing Designing and developing core machine learning infrastructure Conducting statistical analyses to assess the value of new data points and vendors Building and deploying production risk models to improve Finrise patient underwriting Hiring and leading a team of best-in-class data scientists What you should already have Background in mathematics, statistics, or engineering Some understanding of credit and/or risk underwriting Bachelors required; Advanced degree preferred Strong programming ability, preferably in Python Deep understanding of machine learning and mathematics A scrappy team player with an ability to thrive and effectively communicate in a fast-paced, numbers focused environment Interested? Send us an email to careers@finrise.com" Data Scientist,"Boulder, CO",Specialized,"Do you have a passion for harnessing diverse datasets to drive consumer experiences and business outcomes? Are you simultaneously comfortable with statistical analysis/inference and modern deep learning and machine learning approaches? Can you combine a diverse array of data science techniques and tools to ultimately create personalized recommendation engines? If you were able to answer yes to these questions then we want to talk to you! We are searching for a Data Scientist to join our team and be a leader that will ultimately build a modern data function for Specialized! HOW YOU'LL MAKE A DIFFERENCE ---------------------------------- End-to-end deep learning/machine learning application: data analysis and idea conceptualization, model definition and refinement, creation of proof of concept, production development and deployment. Benchmark, investigate, and propose newest techniques and approaches to harnessing AI for personalized recommendations. Create specific algorithms to drive product and experience recommendations. Big data analysis and support of multiple teams, including product development and operations planning. Define necessary data architecture to support application of models/algorithms and data analysis. WHAT YOU NEED TO WIN -------------------- Graduate degree and/or multiple years experience in Data Science or related field (Computer Science, Mathematics, Statistics, Engineering). 3-5 years experience with a variety of machine learning / deep learning techniques, including model development and production deployment. Experience with SQL/Python/R Experience with recommendation algorithms Experience with data analysis tools and techniques, particularly big data approaches Passion for cycling or outdoor industry First and foremost, we are riders. We share the core belief that bikes change lives. From product development and operations, to finance and marketing - every role at Specialized contributes to a culture of sustainable, global growth and innovation. We are always looking for passionate people to join the team who are interested in learning and growing far above the scope of the position. You'll be challenged in many different ways and have a tremendous amount of opportunity. All with an eye towards growing people and expanding careers. You'll be working alongside a passionate, driven team and there are some great benefits including daily lunch rides, onsite yoga classes, and all of the bagels your heart desires on Friday mornings. Come ride with us! See what we are up to on LinkedIn ( https://www.linkedin.com/company/specialized-bicycle-components/ ), Instagram ( https://www.instagram.com/iamspecialized/?hl=en ), and most importantly, our #DogsofSpecialized ( https://www.instagram.com/explore/tags/dogsofspecialized/?hl=en )." Data Scientist,"San Francisco, CA",BICP,"As a Data Scientist at BICP your role is to analyze, visualize, and model data. You’ll build and implement machine learning models to make more efficient and effective decisions. We are looking for a mixture between a statistician, scientist, machine learning expert and engineer: someone who has passion for building and improving Internet-scale products informed by data. Bachelor’s degree required and Master’s is preferred." Data Scientist,"San Jose, CA",WeRide.ai,"This role requires you work closely with a variety of teams (Planning, Decision, Prediction, Simulation, Product) to analyze and leverage wide variety of data from road test and simulated driving in order to improve the self-driving performance of WeRide's Robotaxi. You will be responsible for:Evaluate the safety performance based on road test and simulated data Analyze and improve existing data sources and metrics Coordinate with different functional teams to implement models and monitor outcomes Develop processes and tools to monitor and analyze model performance and data accuracy Bring statistical depth, general analytical rigor, and accurate causal interpretation of data Requirements:MS/PhD degree in Statistics, Mathematics, Computer Science or other quantitative area 2+ years of experience manipulating large data sets and building statistical models Solid skills using R/Python and statistical libraries to manipulate data and draw insights form data sets Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Proven ability to understand a complex system and its various components Experience with tools for manipulating big data Preferred to have:Experience with C++ Familiarity with Spark/MapReduce Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks WeRide.ai offers competitive salaries with demonstrated experience. Employee benefits include: Premium Medical, Dental and Vision Plan Free Daily Breakfast, Lunch and Dinner Paid vacations and holidays Phone reimbursement Gym reimbursement Driven by artificial intelligence, WeRide is a smart mobility company that intends to create Level 4 autonomous vehicles for the Chinese market. WeRide was founded in Silicon Valley in April 2017 and established its global headquarters in Guangzhou, China." "Data Scientist (Maplewood, MN)","Maplewood, MN",3M,"At 3M, we apply science in collaborative ways to improve lives. With $33 billion in sales, our 93,000 employees connect with customers all around the world. 3M has a long-standing reputation as a company committed to innovation. We provide the freedom to explore and encourage curiosity and creativity. We gain new insight from diverse thinking, and take risks on new ideas. Here, you can apply your talent in bold ways that matter. Job Description: 3M is seeking an experienced Data Scientist – Digitization and Advanced Analytics within the Manufacturing and Supply Chain organization located in Maplewood, Minnesota. At 3M, you can apply your talents in bold ways that matter. Here, you go. Job Summary : The person hired for the position of Data Scientist will be developing data and analytics solutions to address business challenges, interact effectively with both the technology teams and the business units, contribute significantly to the vision of our data environment, and our data analytics and data science capabilities. The ideal candidate is passionate about digging into large amounts of data, both known and unknown, structured and unstructured. This position provides an opportunity to transition from other private, public, government or military environments to a 3M career. Primary Responsibilities include but are not limited to the following: Conduct a variety of data analytics such as: predictive modeling, statistics, machine learning, data mining, and other data analysis techniques to extract insights from structured and unstructured data. Research and explore data sources, work with data and systems experts to understand datasets and what they represent. Participate in projects related to machine learning, data mining, signal processing, sensors and electronics and computational statistics. Work independently to develop data solutions, understand, break down and explain complex algorithms. Deploy artificial intelligence methods including optimization, classification, probabilistic reasoning, and neural networks to solve business problems and surface insights. Implement relevant computational algorithms in software that support 3M business. Build strong working relationships and communicate effectively with other engineers and data scientists Basic Qualifications: Possess a Master’s degree or higher (completed and verified prior to start) from an accredited institution Minimum three (3) years of experience in a private, public, government or military environment in one or more of the following areas: predictive modeling, statistics, machine learning, data mining Experience programming in Python or R Experience in applied machine learning and statistical algorithm development Experience in computer or scientific programming Preferred Qualifications: PhD in Data Science, Computer Science, Mathematics, Statistics or other directly related field Experience in programming: R, Python, Matlab, C++ Experience with deep learning methods and applications Experience with big data and distributed computing platforms, such as Apache Spark Knowledge in mechanical and/or chemical engineering SQL experience SAP experience Solid communication skills Location: Maplewood, MN Travel: May include up to 20 % travel Relocation Benefits: Are authorized for this position 3M is a place where you can collaborate with other curious, creative people. Where your diverse talents, inclusiveness, initiative, and leadership are valued. Where you’ll find challenging opportunities that make your career exciting and rewarding. With a diversity of people, global locations, technologies, and products, 3M is a place to grow and be rewarded for excellence. Learn more about 3M’s creative solutions to the world’s problems at www.3M.com or on Twitter @3M. 3M is an equal opportunity employer. 3M will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. 3M Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms." Data Scientist,"San Diego, CA",Epic Games,"Psyonix, part of the Epic Games family, is a video game developer located in downtown San Diego. Best known for Rocket League, the award-winning game that combines soccer, driving, and highly competitive and addictive game play, we are an industry-leading game studio rooted in a crunch-free philosophy that emphasizes an amazing employee experience and strong workplace culture. We are looking for a qualified and passionate Data Scientist to join us on the analytics team. You will focus on transforming raw player behavior data into actionable insights. Through in-depth analysis, you will create predictive models and algorithms as well as identifying pain points and improving the player gameplay experience. Primary Duties & Responsibilities Utilize gameplay data to derive player motivation and behavior to deliver actionable insights Perform in-depth analyses across a multitude of data sets, types, and sources Create and maintain advanced statistical models and assist in deployment into our infrastructure Contribute unique, personal ideas towards all aspects of game production and development Liaise with other team members and departments to determine project needs and requirements Ideal Qualifications & Requirements 4+ years of experience with writing and maintaining SQL objects, preferably MySQL 2+ years of experience interacting with large and complex data sets Advanced understanding and application of various statistical analysis methods Demonstrated experience in architecting new data flows along with the reporting, presentation and visualization of resulting data Experience with object oriented programming A passion for diving into data to extract trends, signals, and insights Experience simultaneously addressing multiple project and stakeholder needs Strong written and verbal communication skills Additional Preferred Experience: Knowledge of the game industry’s inner workings Familiarity with C# / R / Python / PHP / Linux Working knowledge of Cloud Computing (AWS, Google Cloud, Azure) and associated infrastructure" "Data Scientist, Operations Data Science","Mountain View, CA",Google,"Minimum qualifications: Master's degree in Operations Research, Industrial Engineering, Statistics, related field, or equivalent practical experience. 2 years of relevant work experience (e.g., as a data scientist) or equivalent. Analytical engagements outside class work while at school can be included. Experience with statistical software (e.g., R, Python) and database languages (e.g., SQL) Preferred qualifications: PhD in Operations Research, Industrial Engineering, Statistics or related field. 4 years of relevant work experience (e.g., as a data scientist), including experience applying advanced analytics to planning and infrastructure problems. Experience designing and building statistical forecasting models. Experience designing and building machine learning models. Excellent problem-framing, problem-solving and project management skills. Excellent customer service and team collaboration skills. About the job At Google, data drives all of our decision-making. Data Scientists work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical rigor and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. As a member of the Operations Data Science team, you will apply operations research and statistical methods to solve challenges related to compute, storage, network, and datacenter capacity for both Google’s internal services and Google Cloud Platform. You will work broadly across Google’s Platforms Engineering, Systems Infrastructure, and Site Reliability Engineering teams to optimize our deployment of resources and drive innovation in our software stack, allowing for efficient use of resources. As a Data Scientist, you will think critically and strategically about Google’s cloud as a technology, a business, and as an operation. You will be comfortable discussing total cost of management with hardware engineers, resource optimization with software engineers, or reviewing fleet plans and deployment policies with operations executives, all based upon the analytical models that you will be developing. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We're always on call to keep our networks up and running, ensuring our users have the best and fastest experience possible. ResponsibilitiesLead projects with hands-on analysis and modeling, drawing from multiple of analytical methods to choose the right tool and right level of complexity appropriate for the business challenges. Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact. Identify and communicate the challenges and opportunities that the group should be working on. Help define the analytical direction and influence the direction of the associated engineering and infrastructure work. Articulate business questions and use mathematical techniques to arrive at an answer using data. Translate analysis results into business recommendations. At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Data Scientist,"Draper, UT 84020",Progressive Leasing,"Job Description: As a Data Scientist, you will blend analytics, data mining, machine learning, and software engineering to build algorithms that will result in massive improvements to the way we do business. You will be responsible for developing and improving key decision systems and predictive models to drive maximum business impact. You will develop a profound understanding of our customers, business processes, products, and financials by studying the data that describe each of these elements of our business. You will be at the forefront of this rapidly evolving field and have the opportunity to develop your own tools and technologies as you do. Most importantly, you’ll be part of a team that forms the backbone of a fast-growing company at the forefront of an exciting, growing industry. What You'll Do: Build, maintain, and improve key decision systems and predictive models that are key to Progressive Leasing’s competitive advantage Explore new data sources both internal and external to Progressive and use findings to further improve and optimize model performance Design, implement, and read in-market experiments testing new algorithms, technologies, and processes to better serve our customer and stay ahead of the competition Recommend and support strategic business changes through rigorous analytics, deep understanding of the business, and creative problem solving Identify, evaluate, and help implement emerging advanced analytics technologies and methods Be part of a fast-growing team of like-minded data scientists who work and play together, and who love what they do and where they do it!Minimum Experience & Qualifications: Master’s degree in a quantitative or technical field (Math, Statistics, Engineering, Economics, Physics, Computer Science, etc.) Experience with data exploration and machine learning tools such as those found in R or Python Demonstrated ability applying advanced statistical modeling techniques to solve problems Ability to craft rigorous research / evaluation design approaches, based upon understanding of clients' research needs Advanced knowledge and experience with querying languages (SQL, etc.) Understanding of modern software development and engineering practices including scrum/agile, Git, and DevOps Track record of achieving business results through creative problem solving and careful implementationCompensation, Perks & Benefits: Competitive Compensation Full Health Benefits - Medical/Dental/Vision 401k, Paid Time Off and Tuition Reimbursement Full Service Gym, Game and Lounge Area, Basketball Court Free Healthy Snacks and Refreshments Subsidized Public Transit Fun and Relaxed Work Environment WHO IS PROGRESSIVE LEASING? Prog Leasing, LLC, a wholly-owned subsidiary of Aaron’s, Inc (NYSE: AAN), is the largest and longest-tenured virtual lease-to-own provider in the United States. The company’s mission is to provide simple and affordable purchase options for credit-challenged consumers. Over the last 19+ years, Progressive Leasing’s fair and transparent NO CREDIT NEEDED lease-to-own option has helped millions of customers and their families, even if they have less-than-perfect credit or an inability to pay for their purchase upfront. Progressive has also helped more than 27,000 retail stores drive increased revenue and improve customer satisfaction. Learn more at http://www.progleasing.com. Progressive Leasing does not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Progressive Leasing does business." DATA SCIENTIST,"Chicago, IL",Big Bright International,"Data Scientist at various unanticipated client locations throughout the US to lead data assessment, modeling and forecast for big size multi-national companies; provide ETL big data integration; utilize Data Stage to populate tables in data warehouse and data marts. Hadoop, Pig, Hvive, Data Stage, and Netezza. Must have a Master’s degree in Management Information Systems, or Business Administration, or foreign equivalent." Data Scientist Intern - Meteorology Analytics,"San Ramon, CA 94583",Pacific Gas And Electric Company,"Requisition ID # 39880 Job Category : Administrative / Clerical Job Level : Individual Contributor Business Unit: Electric Operations Job Location : San Ramon Organization Overview PG&E’s Meteorology Operations and Analytics team is one of the most impactful at the company, providing support across all aspects of PG&E’s utility operations through advanced forecast, modeling and monitoring capabilities. Our modelling program includes high resolution weather forecasting, utility fire risk forecasting, outage and storm forecasting, solar forecasting, electric and gas load forecasting, and hydro forecasting. The team has deployed a utility-mesonet with more than 600 weather stations, deployed over 125 high-resolution “Alert Wildfire” cameras and developed a fire detection and alert system using geosynchronous and polar-orbiting satellites. The team constructed an hourly 30-year high-resolution down-scaled climatology of weather and fuel models, operates a high-resolution weather-fuels coupled forecast model, and leverages fire spread and consequence simulations of >70 million fires igniting near overhead utility infrastructure daily. For more, please see this overview video of the weather station and camera projects and the Wildfire Safety Operations Center: https://www.pgecurrents.com/video/in-the-field-with-teams-installing-wildfire-cameras-weather-stations/ Position Summary We are looking for an intern data scientist to join our team to help the Meteorology team design, develop and deploy operational forecast models and tools leveraging rich meteorological datasets and utility-specific data. You will have a unique opportunity to contribute at in one or more of the areas above at the forefront of utility, meteorology, and fire science analytics.In this role you will work as part of cross functional teams, including data scientists and meteorologists, to help develop and enhance operational applications and tools. You will have the opportunity to help solve impactful problems facing the utility and the state of California and work on complex technical projects every day. Responsibilities Help develop, deploy, and maintain operational predictive models and tools dependent on weather and other utility data (e.g., outage data). Assist senior data scientists with data collection, data wrangling, data prep and model design Assists in the development of operational forecast models and model visualizations Understand and apply statistical and analytical modeling methods such as classification, regression, clustering, anomaly detection, deep learning, etc. to identify opportunities for operational improvements and insights. Help construct model documentation such as whitepapers Help develop and present technical and summary presentations Assist the operational forecasting team with data analysis and modeling during severe storm and fire events. Assist the meteorology team with ad-hoc data requests from regulatory and other government agencies. Qualifications Minimum Qualifications: Earning a Bachelor’s or Master's degree in Meteorology, Atmospheric Science, Engineering, Mathematics, Computer Science, Applied Sciences, Statistics or similar discipline Students must be continuing education towards degree during and/or after internship Desired: Demonstrated collaboration or paired development work history with effective communication skills. Demonstrated experience with model development for operational forecasting, or other complex quantitative modeling. Track record of writing clear and well documented code, preferably in Python, R, etc. SQL proficiency and experience working with relational databases. Understanding of statistics and experience developing supervised & unsupervised machine learning models. Demonstrated experience with data science best practices, such as version control via Git or similar. Demonstrated experience with data visualization languages and tools such as Tableau, Javascript, d3, Plotly, Mapbox, Leaflet, ArcGIS, R, etc. Development experience on Linux, SQL servers, and AWS (s3, EC2, Redshift). General knowledge of weather forecasting, meteorological data, and California geography and climate. Ability to develop, deploy, and maintain operational models and databases. Understanding of GIS related concepts. Ability to solve complex problems with strong attention to detail and accuracy. PG&E typically is unable to provide VISA sponsorship to students on an F-1, J-1 or other student visa for this position." Data Scientist,"Pennington, NJ",Bank of America,"The successful Data Scientist Architect will join an enthusiastic team responsible for designing and implementing the bank’s enterprise-wide data science platform by envisioning and executing projects that leverage modern data science and distributed high-performance computing capabilities to implement mission-critical end-to-end solutions for the global business. This role is highly collaborative: the Data Scientist Architect will develop and maintain consultative relationships with key business stakeholders including business executives, data scientists, data engineers/technologists, risk/compliance functions and other teams across the bank on a broad range of data science projects with a particular focus on machine learning. Many projects involve text/NLP. In total we are seeking three Data Scientists to oversee three areas of responsibility: Data Science Architect – Solutions Development Data Science Architect – Model Risk Management Data Science Architect – Text/NLP Solutions We believe that solid career experience in data science is critical to building an exceptional enterprise data science platform. Therefore we’re looking for data scientists who are keen to use their modeling experience to design and build a state-of-the art data science platform for a community of many thousands of data scientists and hundreds of complex ML/AI models deployed in real-time and at scale. The ideal candidate will have strong quantitative qualifications and excellent communication skills ideally with experience across data science, computer science, business and project management. 7+ years of experience required: at least five years hands-on data science modeling and five years responsibility leading or managing data science or technical projects in a business or industrial environment Expertise with a broad range of data science tools such as machine learning, deep learning, classical regression, decision trees/forests, boosted models, clustering, optimization, and all associated tools and techniques. Strong business communication and project management skills Quantitative degree with strong statistical component: for example Computer Science, Engineering, Physics, Neuroscience, Econometrics, Bioinformatics, etc. Strong experience with Python, SAS, R, Matlab or other statistical modeling tools is expected PhD, Masters, and/or academic research experience is highly regarded Software engineering experience using C/C++/C#/Java/Scala or similar is highly regarded M.B.A and/or strategy consulting experience very highly regarded when combined with a strong quantitative degree and hands on data science experience Shift: 1st shift (United States of America) Hours Per Week: 40" Data Scientist,"Portland, OR",Kinship,"A BIT ABOUT OUR DATA SCIENCE & ANALYTICS TEAM Kinship's Data Science & Analytics team is core to our strategy. We're using digital, data and customer insights to transform our business by finding answers to problems that we've often never asked ourselves before. Our vast data assets are being combined to build a 360° view of pets and pet owners to not only power Kinship's businesses but also influence the next great ideas in the pet care space. This role will be key in helping us understand the power of our data, and how this translates into value for our company, our pets, and pet owners everywhere. Frequently the projects will be ambiguous, but that's part of the fun; you will determine the best way to leverage our data to tell the right story for any given audience. HOW YOU'LL CREATE A BETTER WORLD FOR PETS Apply advanced analytics & data science approaches to understand and predict pet and pet owner behaviors Collaborate with internal and external teams to ensure we focus on pet-centric product and service recommendations Support new pet technology businesses and partners by generating actionable insights from our data assets Develop compelling stories that provide insight into the drivers of business performance and pet/pet owner behavior WHO WE NEED TO CHART THE FUTURE OF PET CARE We strive to hire people who are passionate about our mission: Shaping the Future of Pet Care. For all of our Kinship roles, we look for candidates who exemplify our core values. We believe what we do is just as important as how we do it, and we aim to hire people who are: Optimistic Purposefully Inquisitive Open to All And for this role, we hope you have the following skills we require to knock it out of the dog park: Truly inspired by, and want to live, our purpose of creating a better world for pets. 4+ years' experience in a data science role handling varied and complex data Varied technical experience in delivering statistical analytics, data science and insight on large-scale consumer data sets across multiple sectors, including packaged goods and retail Hands-on experience with Python is required; Familiarity with PySpark is also desirable Comfortable with ambiguity, with a passion for collaboration to achieve objectives A Bachelor's degree in quantitative field (economics, statistics, business, computer science) or equivalent experience Passion for growing and strengthening a business using data driven approaches Familiarity with cloud-based computing services e.g. AWS, Databricks, etc. Enjoys explaining how technical concepts to both non-technical and technical stakeholders. WHY JOIN US? We offer our associates a unique opportunity to have a completely customizable career within pet care. Through Kinship you will work with and learn from a community of industry executives, pet partners, entrepreneurs, and fellow associates across our startup investment companies, outside partners, and in Mars Petcare. Our nimble and flexible approach to work allows you to make an immediate impact across businesses, while learning new skills at every stage. The diversity of our work opens doors to big opportunities and unlocks enormous potential for countless career experiences in pet care. Join us in our mission to chart the future of pet care, alongside the industry's brightest minds. Kinship's offices are global, and so are our associates. We are located in NYC, San Francisco, Portland, London, Helsinki, Shanghai, and in Moscow. Many of us flex between our dog-friendly hubs and our home offices. Today, Kinship offers exceptional benefits for you, your family, and your pets, generous paid time off, exponential opportunities to build a career within pet care, and progressive reward packages. Interested? Let's take big strides, together." Sr Data Scientist,"Redmond, WA",Microsoft,"Sr Data Scientist– Power Platform & Dynamics 365 Insights and AnalyticsBusiness Applications is one of the four key growth areas for Microsoft and our cloud business over the coming years. As a foundational pillar of the company, the Business Application Group is building the next generation of business applications and platforms that will help businesses large and small succeed in achieving their digital transformation agenda. The products we are responsible for include Dynamics 365, Power Platform (Power BI, PowerApps, Microsoft Flow), Mixed Reality for business and other SaaS applications and workloads. We are seeking a dynamic individual contributor for our Data Science function as part of our Insights and Analytics team. In this role, you will be responsible for delivering deep analytical insights to drive business success as well as productizing models to help drive usage growth of our products. Would you join us on this exciting journey? Responsibilities Your responsibilities Applying statistical and machine learning techniques to problems like text feedback analysis, customer/user segmentation/classification to understand usage trends and drivers of satisfactions You will design experiments, analyze results and produce actionable, trustworthy conclusions from them. Present findings and recommendations to key decision makers at various management levels Drive innovation leveraging Data Science and Machine Learning, to experiment with and establish new ways of driving customer engagement by leveraging data – ultimately resulting in usage and satisfaction growth Engage with customers via public presentations and 1:1 meeting at all levels Qualifications Required Qualifications: Masters, PHD in Data Science, Mathematics, Operational research or related field 5+ years of hands-on experience with data science, big data experience and analytics in a business context. Preferred qualifications Experience in Natural Language Processing Experience with product and service big data telemetry systems Significant experience in Data Science and Machine Learnings with a strong proven track record in delivering positive business impact Strong knowledge in applied statistics and mathematics Significant experience of analytical programming languages such as R and/or Python. Enjoy discovering and solving problems; proactively seeking clarification of requirements and direction; being a self-starter who takes responsibility when required. Strong interpersonal, verbal, visual and presentation skills, ability to communicate complex findings in a simple manner to executives Ability to work collaboratively across multiple business and engineering teams A willingness to learn, share, and improve. You will join a team with a friendly, collaborative, and learning culture that has some of the highest WHI scores at Microsoft.should we make it 2+... this is still 61-62 band?? [AA1] Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work." Data Scientist,"Menlo Park, CA 94025 (Vintage Oaks area)",Quantifind,"Who You Are ----------- You are a full-stack data scientist, an experienced quantitative thinker who wants to develop further as both a data scientist and an engineer. You are skilled at finding the precise mathematical kernels of real-world problems and want to bring that talent to bear on the business questions facing the world's leading companies. You are excited to apply your existing expertise in fields such as statistics and computer science on Quantifind's state-of-the-art infrastructure. You are excited to work at a startup where you will have a chance to expand your scientific and engineering skills to new areas. You share Quantifind's commitment to winning together, and are eager to see your coworkers build on the technical foundations you will be creating. You are passionate about maintaining the high scientific and engineering standards required to enable your peers. Above all, you are a curious and independent problem solver who is motivated to find a place where your skills can have real impact. Who We Are ---------- Quantifind is a uniquely positioned data science and human insights company. In our primary application, we offer marketing decision-makers Explanatory Analytics that help them better understand their customers' interests and priorities. We are currently building out a new vertical aimed at financial crimes risk management including anti-money laundering (AML) and fraud detection. Our advantage is existing science, engineering, and SaaS product capabilities that align very well with the technology needs. To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth is considered a key part of your success, and of ours. We offer a flexible work environment with a family-friendly work-life balance, catered lunches three times a week, and fun team activities to keep you healthy, happy, and stress-free. What A Great Candidate Looks Like:MS or higher in the following areas: Statistics and Mathematics At least 2 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into statistical problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in two or more of the following: Scala/Java, R, Python Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Experience with SQL Familiarity with R Shiny framework is a plus The Opportunity We Offer ------------------------ Quantifind is seeking to fill a Full-Stack Data Scientist position in Menlo Park, CA on our Data Science team. We work closely with the Product Management team and Platform engineers to anticipate company needs and quickly put state-of-the-art mathematical tools into the hands of end users. Members of the Data Science team translate real world problems into quantitative language, find or create algorithms to solve those problems, and implement them in code. Our team values a creative and empathetic approach to problem solving and strives to maintain rigorous scientific and engineering standards. We will give you the opportunity to work on the full data science pipeline, bringing solutions from basic research all the way to production. We are an equal opportunity employer. We pride ourselves on living our values. We are curious. We respect each other. We are proactively transparent. We relentlessly solve problems. We win together. Will you join us? Apply now!" Data Scientist / Analyst,"Cromwell, CT 06416",DSM i-Health,"Positional Responsibility: Data Scientist/ AnalystTimeframe: Estimated 3 - 6 month contract initialActivities and Deliverables: Develop new data sets and analyses required to generate actionable market insights based on business data intelligence or consumer behavior.Collaborate with functional and commercial teams to develop and integrate existing and new data sources and viewsDevelop appropriate connections between unconnected data sources and establish new data modelsGather, transform and report large sets of structured and semi-structured data into formats for analysis, decision-making, and reportingSupport existing and develop new reports and dashboards (typically in Microsoft’s Power BI).Ensure data are being transferred correctly from internal and external source systemsExamples: Internal ERP, syndicated consumer data, and retailer scan dataEffectively work independently to author, design and implement new reports or applicationsMay require any or all activities within discovery, interviewing, collaborating, transfer and training of diverse personnel to accomplish deliverableAssist in the evaluation of reporting tools and supporting technologiesHelp mature business intelligence and analytical tools to develop the most visually and efficient way possibleAcademics and SkillsPreferred 3+ years’ experience in data engineering, report building, and/or data analyticsPreferred B.S. in quantitative field (e.g., analytics, computer science, CIS, engineering)Advanced Excel capabilities, including topics such as Lookups, PowerQuery, PivotTables, VBA, application macros and automation.Experience with a Data Analytics tool such as PowerBI, TableauData and SQL skills; ability to design and optimize queries and create data structures. Join multiple data sources, advanced stored procedures and job scheduling, transmission to and from databases, ETL and data warehousingExposure to data-related scripting languages such as SQL, R, Python, DAXKnowledge of consumer-packaged goods market and the data sources it uses, eg. Nielsen, IRI, etc.Excellent written and verbal interpersonal skills – experience working with business partners and senior leadersProject management capabilities to coordinate multiple projects and prioritize a variety of incoming requestsJob Type: ContractExperience:Excel: 1 year (Preferred)Power BI: 1 year (Preferred)SQL: 1 year (Preferred)Application Question:Number of years involved with consumer products or retailer/consumption datasets?Contract Renewal:PossibleWork Location:One locationThis Company Describes Its Culture as:Detail-oriented -- quality and precision-focusedOutcome-oriented -- results-focused with strong performance cultureTeam-oriented -- cooperative and collaborative" "Data Scientist, Financial Markets","Boston, MA",Coin Metrics,"Data ScientistCoin Metrics is a leading provider of crypto asset data for institutions. We deliver transparent and actionable data and analytics to various industry stakeholders including funds and asset managers, custodians, traders and trading venues, research desks, and data/application providers. Coin Metrics’ data empowers its clients and the public to better understand, value, use, and steward open crypto networks.Job DescriptionCoin Metrics is recruiting a Data Scientist to support its market data metric calculation and internal data product research and development functions. Join a fast-paced startup pioneering novel metrics, data products, and insights surrounding the economics, markets, usage, health, and other aspects of public cryptocurrency blockchains like Bitcoin and Ethereum and other crypto networks. You will be surrounded by talented people passionate about decentralized economies and the data behind them. Break new ground, create exciting new data-driven research and products, and help shape future economies.Location : Boston, MA or New York City, NYResponsibilitiesParse, process, or analyze large financial data setsDevelop, backtest, and refine calculation or algorithmic methods for aggregate/derivative metric creation or other processes related to new data product development or refinement of existing productsMaintain documentation and code/scripts of calculation or algorithmic methods for metrics or processes to ensure scalability and permanenceBuild data visualization tools or dashboardsDevelop innovative statistical methodologies and data productsWrite or contribute to research publications, manuscripts, or documentationWork collaboratively across key internal functions (Data Sciences, Product, Data Operations, and Data Services) to build and maintain scalable internal data science solutionsWork with external clients (such as financial institutions) or vendors (such as exchanges) to solve problems, acquire data, and improve relationshipsBasic QualificationsBachelor's degree in Computer Science, Finance, Mathematics, or related field, or relevant work experienceFamiliarity with financial terms and products and experience working with financial data2+ years’ working experience in RExperience building and working within complex data pipelines using languages such as R (required) or Python (bonus) and visualization tools or packages such as plotly and DashExperience with Unix-based operating systems (especially Linux)Experience developing methods and programs to parse, process, analyze, and comprehend large data setsStrong curiosity and passion for decentralized economies/open financeStrong sense of ownership, entrepreneurial spirit, and/or startup-like experience, capable of driving towards solutions independently while seeking feedback when appropriateAble to work in the U.S. without sponsorship (citizen or permanent resident)Preferred QualificationsExperience with FIX protocol, HTTP (REST), and WebSocket APIs3+ years experience parsing, processing, analyzing, deriving or testing financial data in a data engineering, data scientist or quant roleBonus: knowledge of blockchain and related networks and their data structuresBonus: experience in applying machine learning or other automated techniques to solving data quality challengesJob Type: Full-timeWork authorization:United States (Required)" Sr. Data Scientist/Machine Learning Engineer,"Miami, FL 33138 (Upper Eastside area)",aikiu,"This role is key to accelerating the growth of aikiú, since its main mission is focused on building a reputation as the main provider of – audience-based business intelligence - in the market.The Data Scientist position is of utmost relevance to aikiú, since the operations team is the machine that moves our company. This role is very wide and varied, since in order to maintain and improve our proven formula, you must design and implement solutions based on data and technologies, to respond to the needs of our customers, taking into account the market vision and the objective of leading them towards Performance – Driven Consulting.Expert level is required in the following or similar tools: Google Tag managerAdobe marketing cloud or similar.Hubspot or similarLooker or SimilarExcelBrandwatchResponsibilities: Implement and improve new, or pre-existing, operational strategies that take advantage of our database systems and processes.Support the operating team in the daily operation, through different marketing management channels and at different times of the process.Understand and communicate the business objectives of the client and aikiú to the operating team, through detailed implementation guidelines.Create and maintain the processes and decision standards in real time and generate documentation (tables, graphs, logical guidelines, etc.) so that the operating team is able to process data according to pre-existing standards and generate new ones for those who still they do not exist.Constantly question and monitor business logic and strategies at the operational level of the company, to identify gaps that could result in poor decision-making, developing recommendations in conjunction with aikiú’s team and management.Monitor the performance of aikiú’s operation’s team through metrics and indicators, as well as constantly audit project outcomes to ensure that aikiú standards and client objectives are being adequately met.Develop the relationship with our national and international technology partners.Lead the Business Operations and Analytics Department.In aikiú we support the development of the team not individualism, we encourage the use of the office with the home office, we do not accept the continued excuses, nor the buts, we encourage the how can we provide solutions to different situations, and with daily maximum effort together we will build our company of tomorrow.Job Type: Full-timeSalary: $70,000.00 to $110,000.00 /yearExperience:areas of algorithms: 5 years (Required)plus total: 5 years (Preferred)machine learning: 3 years (Required)professional it: 5 years (Required)working with data: 5 years (Required)Additional Compensation:BonusesWork Location:One locationFully RemoteBenefits:Health insuranceSigning bonusFlexible scheduleVisa Sponsorship Potentially Available:Yes: H-1B work authorizationYes: Other non-immigrant work authorization (e.g. L-1, TN, E-3, O-1, etc.)Yes: Immigrant visa sponsorship (e.g., green card sponsorship)Schedule:Monday to FridayBenefit Conditions:Only full-time employees eligible" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Senior Biotech Laboratory Technician/Data Analyst Updated 2/28/2020,"Los Angeles, CA 90034 (Palms area)","Laragen, Inc","Laragen, Inc is a biotech company specializing in genomics services. For more than 20 years, we have served academic institutions and private industrial sectors worldwide.We are currently looking for a senior laboratory technician/data analyst. Main job responsibility is genotyping data analysis, reporting results to clients, customer services, receiving samples, setting up PCR reactions, DNA extraction, troubleshooting, lab maintenance, developing SOPs and other lab documents.Required/Preferred skills: - A BA degree or higher in biology with 5+ years related experience in biotechnology- Able to multi-task and able to prioritize responsibilities- Must pay attention to detail.- Extensive computer and MS Excel experience- Extensive experience on real time PCR(qPCR) and genotyping- Strong pipetting skill and molecular biology techniques.- Able to recognize trends and able to be focused and observant- Able to work under pressure and keep up with a fast-paced environment- Can handle a high volume of sample processing. Industry experience preferred- Must be a team player. Good interpersonal skills- Good communication and customer service skills- Knowledgeable with Python is a plus.- Experience with fragment analysis software such as GeneMapper is a plusBenefits: - Medical, Dental, Vision, Life Insurances- 401K, Profit Sharing, Defined Cash Balanced Plan- Paid Time Off, Sick Leave- Bonuses- Flexible hoursJob Type: Full-timeSalary: $18.00 to $26.00 /hourExperience:Industrial Biotech Laboratory: 2 years (Required)PCR: 5 years (Preferred)Education:Bachelor's (Required)Location:Los Angeles, CA (Required)Work authorization:United States (Required)Additional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offOtherThis Job Is Ideal for Someone Who Is:Dependable -- more reliable than spontaneousDetail-oriented -- would rather focus on the details of work than the bigger pictureHigh stress tolerance -- thrives in a high-pressure environmentThis Company Describes Its Culture as:Detail-oriented -- quality and precision-focusedOutcome-oriented -- results-focused with strong performance cultureTeam-oriented -- cooperative and collaborativeSchedule:Monday to FridayOvertime" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Data Scientist,"San Jose, CA",Jabil Circuit,"At Jabil, we empower the brands who empower the world – it’s our reason for being and the guiding force that’s driving us to become the most technologically advanced manufacturing solutions provider on the planet. Whether we’re serving one of the world’s biggest and best known brands or the coolest tech startups, our resolve never wavers. We share common desires with these brands: to make the world a better, safer and cleaner place. JOB QUALIFICATIONS KNOWLEDGE REQUIREMENTSAdvanced Statistics, operations research/ management, mathematics or business analytics with experience, courses, or project work in an analytic methods such as linear, mixed linear, constraint programming, modeling, simulation, time series analysis, pattern recognition, queuing theory, multivariate analysis, and other various predictive analytics techniques Strong written and verbal communication skills and the ability to work effectively in teams and under pressure. Multi-lingual capability is a plus. Ability to draw conclusions from data and prescribe actionable and measurable activities. Highly motivated and creative, thinking “out of the box”. Familiarity with non-relational data frameworks (aka NoSQL, eg. Hive). Experience with Apache Pig, Spark systems. Strong team mentality, interpersonal and communications skills Preferred working directly with management and executives Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identify, age, disability, genetic information, veteran status, or any other characteristic protected by law." "Data Scientist (Maplewood, MN)","Maplewood, MN",3M,"At 3M, we apply science in collaborative ways to improve lives. With $33 billion in sales, our 93,000 employees connect with customers all around the world. 3M has a long-standing reputation as a company committed to innovation. We provide the freedom to explore and encourage curiosity and creativity. We gain new insight from diverse thinking, and take risks on new ideas. Here, you can apply your talent in bold ways that matter. Job Description: 3M is seeking an experienced Data Scientist – Digitization and Advanced Analytics within the Manufacturing and Supply Chain organization located in Maplewood, Minnesota. At 3M, you can apply your talents in bold ways that matter. Here, you go. Job Summary : The person hired for the position of Data Scientist will be developing data and analytics solutions to address business challenges, interact effectively with both the technology teams and the business units, contribute significantly to the vision of our data environment, and our data analytics and data science capabilities. The ideal candidate is passionate about digging into large amounts of data, both known and unknown, structured and unstructured. This position provides an opportunity to transition from other private, public, government or military environments to a 3M career. Primary Responsibilities include but are not limited to the following: Conduct a variety of data analytics such as: predictive modeling, statistics, machine learning, data mining, and other data analysis techniques to extract insights from structured and unstructured data. Research and explore data sources, work with data and systems experts to understand datasets and what they represent. Participate in projects related to machine learning, data mining, signal processing, sensors and electronics and computational statistics. Work independently to develop data solutions, understand, break down and explain complex algorithms. Deploy artificial intelligence methods including optimization, classification, probabilistic reasoning, and neural networks to solve business problems and surface insights. Implement relevant computational algorithms in software that support 3M business. Build strong working relationships and communicate effectively with other engineers and data scientists Basic Qualifications: Possess a Master’s degree or higher (completed and verified prior to start) from an accredited institution Minimum three (3) years of experience in a private, public, government or military environment in one or more of the following areas: predictive modeling, statistics, machine learning, data mining Experience programming in Python or R Experience in applied machine learning and statistical algorithm development Experience in computer or scientific programming Preferred Qualifications: PhD in Data Science, Computer Science, Mathematics, Statistics or other directly related field Experience in programming: R, Python, Matlab, C++ Experience with deep learning methods and applications Experience with big data and distributed computing platforms, such as Apache Spark Knowledge in mechanical and/or chemical engineering SQL experience SAP experience Solid communication skills Location: Maplewood, MN Travel: May include up to 20 % travel Relocation Benefits: Are authorized for this position 3M is a place where you can collaborate with other curious, creative people. Where your diverse talents, inclusiveness, initiative, and leadership are valued. Where you’ll find challenging opportunities that make your career exciting and rewarding. With a diversity of people, global locations, technologies, and products, 3M is a place to grow and be rewarded for excellence. Learn more about 3M’s creative solutions to the world’s problems at www.3M.com or on Twitter @3M. 3M is an equal opportunity employer. 3M will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. 3M Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms." Data Scientist,"Emeryville, CA 94608",ZapLabs LLC,"As a BI/Analytics Developer you will apply your skills and experience in the creation of business intelligence analytics tools on various BI/Analytics platforms(PowerBI, Tableau, Quick sight) for data analysis, dashboarding and reporting of our business data insights. Design and develop data graphs, charts, reports and visualizations that create agent and broker consumable data features. The successful candidate will develop analytic products, metrics and dashboards along the entire development lifecycle, from consulting with end users to capture business needs and processes, designing metrics and tools to optimize presentation, through defining functional requirements and coding, testing, deploying, documenting and maintaining those tools. The BI/Analytics Developer will utilize a full understanding of industry practices, standards and procedures for business intelligence analytics projects. This role will be tasked with resolving a wide range of issues, and will be expected to demonstrate competency in selecting tools, methods and techniques to optimize results. Minimum Qualifications: Bachelors of Computer Science, or Machine Learning. · Deep knowledge of computational complexity theory, capable to code time and space efficient algorithms with good scalability. This skill is required due to the familiarity with computer science fundamentals, algorithms and data structures required to be successful in this role Ability to understand and mathematically model practical problems within real estate and/or eCommerce domains Self-starter with outstanding attention to detail, and problem-solving ability Strong oral and written communication skills Highly organized, ability to stay on track, and meet deadlines in a fast-paced work environment ELT/ETL experience Experience with enterprise level RDMS, SQL fluency Programming/Scripting (Python, R, Scala) Data analytics experience Preferred Qualifications Prior cloud application experience Statistical data analysis and modelling Data Science experience or coursework Visualization tools such as Tableau or Power BI Responsibilities Distribution: (30%) Standardized and ad hoc Dashboards (30%) Standardized and ad hoc Reports (10%) Data Analysis (20%) Data Modeling (10%) Data Visualization and Design #LI-KD1" Data Scientist,"Boston, MA",BlueConic,"Full-time, Boston, MA Hurry up! We’ve got a dream to build! BlueConic is a fast-growing SaaS startup in search of that unique individual who blends a customer service attitude with technical problem solving. If the idea of leading BlueConic’s data science practice based on our cutting-edge technology, you’re going to be a great fit for this role. The team you will join is changing digital marketing every single day – and we’ve got the data to prove it! After introducing the market-leading AI Workbench as part of the BlueConic customer data platform, customer demand for data science is exploding and we need an experienced, hands-on, solutions-focused person to help build the burgeoning data science practice. About BlueConic BlueConic is the market-leading customer data platform, which gives marketers the power to liberate their data and use it to improve marketing outcomes. Our clients use BlueConic to unify individual-level data and then use that single view across channels. Our SaaS platform is the solution for challenges marketers haven’t been able to solve for years. We’re headquartered in Boston and our development team works in the Netherlands. With nearly 300 brands using the platform, our work is experienced by millions. About the Job BlueConic’s machine learning feature set – primarily the Jupyter-based AI Workbench, as well as the Apache Spark-based recommendations engine – is waiting for skilled and creative data scientists to join the BlueCrew in order to help our customers better unify and activate their first-party customer data. A versatile, curious person, you will have a dual function that allows you to both build additional ML capabilities for the platform, while also delivering specific customer models as needed. In short, your work will be essential in differentiating BlueConic’s solution today – and driving us toward further leadership in the CDP category. In this role you will: Provide customer engagements and technical sales support as needed and collaborate with Solutions Architects on customer data integrations, customer specific models, and complex implementations. Partner with Customer Success Managers to inspire customers to use machine learning to get more from their data, including building and optimizing models, as well as using Workbench to transform, analyze, and visualize data. Work closely with the Product Engineering teams as well as our Solutions Teams to actively develop and provide strategic direction for the data science capabilities in the platform. Scope, design, and implement machine-learning models to support the customers’ numerous initiatives and programs with data science, including vertical-specific and marketing-specific models that reinforce BlueConic’s differentiation as a leader in the CDP space. Build predictive models with advanced machine learning algorithms. Innovate relentlessly by building new models; improving techniques to boost model performance; and maintaining and refining the processes and procedures for building high-end analytic modeling solutions. You have: A Master's degree in a Quantitative Field (e.g. Physics, Math, Statistics, Operations Research, Engineering, Computer Science, etc.); applied knowledge/experience in the application of statistics preferred. Fluency in Python and its associated data science ecosystem (numpy, pandas, scikit-learn, etc.) At least 5 years’ experience applying relevant machine learning and data modelling techniques to provide customer/consumer insights, ideally in B2C industries including retail, finance, media, etc. (SAS, R, and other statistical languages ideal but not required.) An exceptional ability to interpret business requirements, translate into data science problems, and deliver high value outputs. A knack for communication that enables you to work well with people with various technical backgrounds, think analytically, write and edit technical material, and relate statistical concepts and applications to statistical and non-statistical SAS users. You will be a great fit if you: You would be a great fit if you are enthusiastic about one or more of the following: Online / out-of-core algorithms Uplift modelling Bayesian statistics Have worked in both technology and end-user client environments during your career. Intimately understand the business challenges that our technology is suited to solve. Are friendly and ready to work with others, both technical and non-technical. We don’t work in isolation and regularly interact with each other and members of other teams. Reasons to join us: Help build the best marketing technology product ever, period. Be part of a small but fast-growing team in downtown Boston. Take advantage of enormous opportunities for career advancement. Work with big name brands to achieve their marketing goals. Enjoy competitive salary and benefits, including the office stroopwafel supply (google it)." Data Scientist,"Menlo Park, CA 94025 (Vintage Oaks area)",Quantifind,"Who You Are ----------- You are a full-stack data scientist, an experienced quantitative thinker who wants to develop further as both a data scientist and an engineer. You are skilled at finding the precise mathematical kernels of real-world problems and want to bring that talent to bear on the business questions facing the world's leading companies. You are excited to apply your existing expertise in fields such as statistics and computer science on Quantifind's state-of-the-art infrastructure. You are excited to work at a startup where you will have a chance to expand your scientific and engineering skills to new areas. You share Quantifind's commitment to winning together, and are eager to see your coworkers build on the technical foundations you will be creating. You are passionate about maintaining the high scientific and engineering standards required to enable your peers. Above all, you are a curious and independent problem solver who is motivated to find a place where your skills can have real impact. Who We Are ---------- Quantifind is a uniquely positioned data science and human insights company. In our primary application, we offer marketing decision-makers Explanatory Analytics that help them better understand their customers' interests and priorities. We are currently building out a new vertical aimed at financial crimes risk management including anti-money laundering (AML) and fraud detection. Our advantage is existing science, engineering, and SaaS product capabilities that align very well with the technology needs. To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth is considered a key part of your success, and of ours. We offer a flexible work environment with a family-friendly work-life balance, catered lunches three times a week, and fun team activities to keep you healthy, happy, and stress-free. What A Great Candidate Looks Like:MS or higher in the following areas: Statistics and Mathematics At least 2 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into statistical problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in two or more of the following: Scala/Java, R, Python Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Experience with SQL Familiarity with R Shiny framework is a plus The Opportunity We Offer ------------------------ Quantifind is seeking to fill a Full-Stack Data Scientist position in Menlo Park, CA on our Data Science team. We work closely with the Product Management team and Platform engineers to anticipate company needs and quickly put state-of-the-art mathematical tools into the hands of end users. Members of the Data Science team translate real world problems into quantitative language, find or create algorithms to solve those problems, and implement them in code. Our team values a creative and empathetic approach to problem solving and strives to maintain rigorous scientific and engineering standards. We will give you the opportunity to work on the full data science pipeline, bringing solutions from basic research all the way to production. We are an equal opportunity employer. We pride ourselves on living our values. We are curious. We respect each other. We are proactively transparent. We relentlessly solve problems. We win together. Will you join us? Apply now!" Data Scientist - Batteries,"Santa Clara Valley, CA 95014",Apple,"Summary Posted: Sep 10, 2019 Role Number:200101632 Do you have a passion for invention and self-challenge? Do you thrive on pushing the limits of what’s considered feasible? As part of our Battery Engineering group, you’ll help craft creative battery solutions that deliver more energy in smaller spaces than ever before. You’ll work across disciplines to transform improved hardware elements into a single, integrated design. Join us, and you’ll help us innovate new battery technologies that continually outperform the previous iterations. By collaborating with other product development groups across Apple, you’ll push the industry boundaries of what batteries can do and improve the product experience for our customers across the world. This position works for Battery/Cell Development team within HW Engineering to identify trends, mine data, and help battery team improve performance. Key Qualifications 3-5 years as data scientist or analyst. Battery Engineering experience desired. Strong working knowledge of Minitab, JMP, Python, or Tableau necessary. Solid competency in statistics and the ability to provide valuable analysis. Working knowledge and experience with big data. Self-starter with entrepreneurial experience and ability to interact with other functions in matrix environment. Proven creativity to go beyond current tools to deliver the best solution to the problem. Familiarity with database modeling and data warehousing principles. Description - Provide insight to problem solving by using engineering skills and all available data. Our issues involve out of box quality, warranty and post warranty failures as well as ETL, stitching and mining up to 40 TB stitched data sets. - Analyze factory, user, and failure data and use engineering understanding mechanisms to resolve battery problems. - Understand end to end nature of Apple DB to organize proper sample size, proper key pull and minimize SQA issues with maximum efficiency - Design, implement, process and interpret data - Automate reporting where possible to make team more efficient Utilize advanced technologies, for modeling enhancements - Work with diverse teams including data scientists, engineers, product managers, and executives - Deliver high quality analytic insights from a very large scale data warehouse - Set up quality reporting system for sharing information - Provide ad-hoc reporting as necessary (sometimes urgent escalation) Education & Experience MS or Ph.D. in Battery Engineering, Data Mining, Machine Learning, Statistics, Operations Research or related field. CSSBB, CQE desired." "Data Scientist, Financial Markets","Boston, MA",Coin Metrics,"Data ScientistCoin Metrics is a leading provider of crypto asset data for institutions. We deliver transparent and actionable data and analytics to various industry stakeholders including funds and asset managers, custodians, traders and trading venues, research desks, and data/application providers. Coin Metrics’ data empowers its clients and the public to better understand, value, use, and steward open crypto networks.Job DescriptionCoin Metrics is recruiting a Data Scientist to support its market data metric calculation and internal data product research and development functions. Join a fast-paced startup pioneering novel metrics, data products, and insights surrounding the economics, markets, usage, health, and other aspects of public cryptocurrency blockchains like Bitcoin and Ethereum and other crypto networks. You will be surrounded by talented people passionate about decentralized economies and the data behind them. Break new ground, create exciting new data-driven research and products, and help shape future economies.Location : Boston, MA or New York City, NYResponsibilitiesParse, process, or analyze large financial data setsDevelop, backtest, and refine calculation or algorithmic methods for aggregate/derivative metric creation or other processes related to new data product development or refinement of existing productsMaintain documentation and code/scripts of calculation or algorithmic methods for metrics or processes to ensure scalability and permanenceBuild data visualization tools or dashboardsDevelop innovative statistical methodologies and data productsWrite or contribute to research publications, manuscripts, or documentationWork collaboratively across key internal functions (Data Sciences, Product, Data Operations, and Data Services) to build and maintain scalable internal data science solutionsWork with external clients (such as financial institutions) or vendors (such as exchanges) to solve problems, acquire data, and improve relationshipsBasic QualificationsBachelor's degree in Computer Science, Finance, Mathematics, or related field, or relevant work experienceFamiliarity with financial terms and products and experience working with financial data2+ years’ working experience in RExperience building and working within complex data pipelines using languages such as R (required) or Python (bonus) and visualization tools or packages such as plotly and DashExperience with Unix-based operating systems (especially Linux)Experience developing methods and programs to parse, process, analyze, and comprehend large data setsStrong curiosity and passion for decentralized economies/open financeStrong sense of ownership, entrepreneurial spirit, and/or startup-like experience, capable of driving towards solutions independently while seeking feedback when appropriateAble to work in the U.S. without sponsorship (citizen or permanent resident)Preferred QualificationsExperience with FIX protocol, HTTP (REST), and WebSocket APIs3+ years experience parsing, processing, analyzing, deriving or testing financial data in a data engineering, data scientist or quant roleBonus: knowledge of blockchain and related networks and their data structuresBonus: experience in applying machine learning or other automated techniques to solving data quality challengesJob Type: Full-timeWork authorization:United States (Required)" Data Scientist,"Austin, TX",HORNE LLP,"Horne LLP is an industry leader in Accounting and Business Advisory Services and currently provides service from 13 locations across the US and Puerto Rico. Our Government Services practice is at the forefront of disaster recovery efforts nationwide with one of the most experienced and innovative teams anywhere. The Data Scientist will be a technical role in leading data science projects, combining predictive analytics, data modeling, and machine learning. In this position, you will be responsible for building it, it’s attributes, and its parameters while modifying solutions to evolving business challenges Requirements: Required 4+ years of experience in relevant role Bachelor’s degree in related field (mathematics, statistics, computer science, engineering or a related quantitative field) Expertise and deep knowledge of typical data science techniques such as classification, regression and optimization Experience/proficiency in statistical programming languages: R, SAS, SPSS, etc.· Experience/proficiency in one or more of the following scripting languages: Python, Perl, Java or Ruby Experience/proficiency in relational databases such as: SQL, Oracle, Teradata Understanding of: BI tools (SAP business Intelligence, MicroStrategy, Tableau, QlikSense) Big Data ecosystems & Distributed file systems / data frameworks (Apache Hadoop, AWS) Machine learning tools/packages Proficient level of MS Office (Word, Excel, Outlook, Powerpoint, Sharepoint, OneNote) and presentation tools Responsibilities: Independently and collaboratively explore, develop and deliver solutions to meet the business needs. Undertake data collection, processing and analysis. Apply in-depth technical knowledge to create and implement customer centric solutions to complex business problems (ecosystem) across multiple areas. Develop and apply algorithms. Analyze complex unstructured data sets to recommendations and implement solutions. Build business intelligence system for the business integrating all and future platforms with multiple sources of data. Independently convert business management questions into analyzable problems with solutions. Horne LLP is an industry leader in Accounting and Business Advisory Services and currently provides service from 13 locations across the US and Puerto Rico. Our Government Services practice is at the forefront of disaster recovery efforts nationwide with one of the most experienced and innovative teams anywhere. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)" Data Scientist II,"Los Angeles, CA 90017 (Westlake area)",L.A. Care Health Plan,"Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation’s largest publicly operated health plan. Serving more than 2 million members in five health plans, we make sure our members get the right care at the right place at the right time. Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose. Job Summary The Data Scientist II is responsible for supporting L.A. Care’s strategic business initiatives through the application of predictive analytics as part of production workflows. This individual will lead projects through the iterative data science process (Stating the Question > Exploratory Data Analysis > Model Building > Interpretation > Communication > Operationalization), collaborating with business, I.T., and data subject matter experts from across the enterprise. Duties Ability to query, transform, and integrate data from multiple sources and structures. Research and develop predictive learning models using modeling software. Effective communication of reproducible analyses and results (including failures), both visually and orally, in peer review and customer settings. Collaborate and work closely with other departments to identify gaps and structure problems. Propose solutions and actionable strategies to business challenges. Work closely with domain experts (both business and data) to understand processes and solution inputs. Monitor the performance of operationalized predictive models. Perform other duties as assigned. Education Required Bachelor's Degree in Computer Science or Engineering In lieu of degree, equivalent education and/or experience may be considered. Education Preferred Master's Degree in Statistics Experience Required: At least 6-8 years of traditional data analysis, including querying, aggregation, basic statistical analysis, and visualization with the intent to provide business insights (preferably in a health plan). At least 2+ years of applied predictive modeling in a business setting (preferably in a health plan). Skills Required: Working knowledge of relational databases, database structures. Proficiency in Apache Spark, R and SQL (Tableau, Python, and SAS a plus). Exploratory data analysis capabilities to understand the data. e.g., estimates of location and variability, correlation matrices, feature comparison visualization, trend analysis. Regression and classification predictive model development and interpretation using: Heuristic/traditional techniques. e.g., linear regression, logistic regression, Naïve Bayes; Supervised machine learning techniques. e.g., decision trees, bootstrap aggregation, boosting, deep learning; Unsupervised machine learning techniques. e.g., k-means clustering, principal component analysis, hierarchical clustering. Working optimally as part of a cross-functional team. Ability to initiate and drive projects to completion with minimal guidance. Ability to problem solve and quickly find solutions on your own. Strong interpersonal skills, including the ability to influence management at various levels of the organizations. Licenses/Certifications Required Licenses/Certifications Preferred Required Training Additional InformationL.A. Care offers a wide range of benefits including Paid Time Off (PTO) Tuition Reimbursement Retirement Plans Medical, Dental and Vision Wellness Program Volunteer Time Off (VTO)" Biomedical Data Scientist,"Rochester, MN","nference, inc.","Job Description Lead Biomedical Data Scientist – Rochester, MN __________________________________________________________________________________The Company is seeking a highly skilled and experienced Biomedical Data Scientist. This position would be focused on managing the various scientific collaborations between The Company and our biopharma partners. In addition, this position would have responsibilities for overseeing other scientists working on the various projects. This position requires you work closely with physicians, researchers and biopharma scientists to drive forward cutting edge research in the development of novel insights and new models of patient careYou must be a self-starter who thrives in a fast-paced, agile environment – which requires wearing many hats, being able to change direction quickly, and showing an eagerness to learn new technologies as needed.This position will be based in our Rochester, MN office. The position requires a minimum of 3-5 years post degree experience.Responsibilities: - Work collaboratively with physicians and researchers to develop novel insights and new models of patient care within various disease leveraging our data platform and new AI/ML models.- Aid in the management of other data science staff and the overall scientific project portfolio with our healthcare partners in Rochester, MN and biopharma partners.- Draft and review collaborative project proposals that include concise project aims, deliverables and timelines.- Actively participate in presenting or co-presenting collaborative work at conferences and authoring articles within peer reviewed journals.- Create case studies showcasing our data platform’s capabilities to collaborators and clients.- Contribute to client-facing applications for our knowledge synthesis platform- Process public and proprietary datasets for integration into our knowledge synthesis platformRequirements: - Master’s degree or PhD in biological sciences, biomedical engineering, bioinformatics or mathematics- 3-5 years post degree experience- Excellent understanding of disease (preferably with a background in cancer) and the relevant physiological and biological underpinnings of diseases.- Experience working within the healthcare industry- Strong understanding of various types of healthcare information and data such as laboratory results, medications, clinical notes, images (MRI, X-ray, etc.).- Proven track record of managing others in their day to day activities along with overseeing overall project goals.- Strong ability to quickly learn and adapt to new domains discoveries within healthcare.- Experience in running and developing new ML/AI models using Python and/or R- Superior verbal, written and interpersonal communication skills particularly with physicians and experiences principal investigators.- Track record of successfully managing multiple, concurrent projects- Excellent decision making, human relations, time-management and organizational skills- Ability to prioritize and meet deadlines in a fast-paced environmentThe Company: Located in Kendall Square in Cambridge, MA and Rochester, MN, the Company is a rapidly-growing technology organization focused on marketing our software solutions and technology platforms to the world’s foremost life science and biotechnology companies, academic institutions and hospitals to assist them in solving their most significant questions and challenges in order to serve patients. The Company is an equal opportunity employer.Benefit package includes competitive sick/vacation/holiday package, equity, health, dental, life insurance, short and long-term disability, and 401k plan.Job Type: Full-timeSalary: $0.00 /hourExperience:data science: 1 year (Preferred)analytics: 1 year (Preferred)data scientist: 1 year (Preferred)hadoop: 1 year (Preferred)full agile sdlc methodology: 1 year (Preferred)Work Location:One locationBenefits:Health insuranceRetirement planPaid time offThis Company Describes Its Culture as:Detail-oriented -- quality and precision-focusedInnovative -- innovative and risk-takingOutcome-oriented -- results-focused with strong performance cultureTeam-oriented -- cooperative and collaborativeSchedule:Monday to Friday" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Senior Biotech Laboratory Technician/Data Analyst Updated 2/28/2020,"Los Angeles, CA 90034 (Palms area)","Laragen, Inc","Laragen, Inc is a biotech company specializing in genomics services. For more than 20 years, we have served academic institutions and private industrial sectors worldwide.We are currently looking for a senior laboratory technician/data analyst. Main job responsibility is genotyping data analysis, reporting results to clients, customer services, receiving samples, setting up PCR reactions, DNA extraction, troubleshooting, lab maintenance, developing SOPs and other lab documents.Required/Preferred skills: - A BA degree or higher in biology with 5+ years related experience in biotechnology- Able to multi-task and able to prioritize responsibilities- Must pay attention to detail.- Extensive computer and MS Excel experience- Extensive experience on real time PCR(qPCR) and genotyping- Strong pipetting skill and molecular biology techniques.- Able to recognize trends and able to be focused and observant- Able to work under pressure and keep up with a fast-paced environment- Can handle a high volume of sample processing. Industry experience preferred- Must be a team player. Good interpersonal skills- Good communication and customer service skills- Knowledgeable with Python is a plus.- Experience with fragment analysis software such as GeneMapper is a plusBenefits: - Medical, Dental, Vision, Life Insurances- 401K, Profit Sharing, Defined Cash Balanced Plan- Paid Time Off, Sick Leave- Bonuses- Flexible hoursJob Type: Full-timeSalary: $18.00 to $26.00 /hourExperience:Industrial Biotech Laboratory: 2 years (Required)PCR: 5 years (Preferred)Education:Bachelor's (Required)Location:Los Angeles, CA (Required)Work authorization:United States (Required)Additional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offOtherThis Job Is Ideal for Someone Who Is:Dependable -- more reliable than spontaneousDetail-oriented -- would rather focus on the details of work than the bigger pictureHigh stress tolerance -- thrives in a high-pressure environmentThis Company Describes Its Culture as:Detail-oriented -- quality and precision-focusedOutcome-oriented -- results-focused with strong performance cultureTeam-oriented -- cooperative and collaborativeSchedule:Monday to FridayOvertime" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist - SOCOM,"Tampa, FL",Barbaricum,"Data Scientist - SOCOM Tampa, FL Cyber / Intelligence Contract Apply for this job Barbaricum supports government clients with Integrated Communications, Mission Support, and Cyber Security/Intelligence. Our passion is innovation and we are committed to client value and effective technical solutions. We are an ISO 9001:2015-certified and CMMI Level 3 appraised, Service-Disabled Veteran-Owned Small Business (SDVOSB) located in Washington, DC. Our mission is to transform the ways the U.S. Government approaches problem sets of increasing complexity by delivering innovative solutions, particularly in support of National Security missions. Barbaricum is one of the fastest-growing companies in our market. The company is routinely recognized by institutions like Inc. Magazine, GovCon, AMEC, PRSA, and SmartCEO for corporate growth, capabilities, and award-winning client work. Our team is dynamic and agile, providing global support to current missions across five continents. We are also focused on developing and maintaining our vibrant corporate culture, having been recently named a Best Workplace for 2017 by Inc. Magazine.Barbaricum is seeking Data Scientists to provide support to a US Special Operations Command (USSOCOM) customer to integrate as part of a team that will provide advanced analytical knowledge of data, with a focus on conducting big data analysis, data conditioning, programming advanced computing, developing algorithms, developing software and data models, executing predictive analytics and utilizing visualization tools. This team will provide support to the J2 and J8 Directorates. Responsibilities Formulate and lead guided, multifaceted analytic studies against large volumes of data. Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method. Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges. Lead all data experiments tasked by the DST Team OIC Coordinate with Data Engineers to build Data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intelligence Analysts. Qualifications Active DoD TS/SCI clearance required Master's degree or Bachelor’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. Proficient with one or more programming languages (Java, C++, Python, R, etc.). Demonstrated experience applying data science methods to real-world data problems.Additional Information For more information about Barbaricum, please visit our website at www.barbaricum.com. We will contact candidates directly to schedule interviews. No phone calls please." Data Scientist & Advisor,"Boston, MA",Wipro Limited,"WD Insights Data Scientists help our clients discover the information hidden in vast amounts of data, and help them to make smarter decisions to deliver better products and services. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems. You will also be working extensively in data-centric digital storytelling and data visualization, helping information come to life for clients seeking to unlock its full potential value Responsibilities Building and optimizing machine learning algorithms Data mining using state-of-the-art methods, Extending company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing in-depth analysis and presenting results in a clear manner Visualizing data, extracting the key digital business 'storylines,' and consultatively developing projects for WD Skills and Qualifications Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc . Excellence in at least one of these is highly desirable Great communication skills Experience with data visualization tools, such as D3.js, GGplot, etc. Proficiency in using query languages such as SQL, Hive, Pig Experience with NoSQL databases, such as MongoDB, Cassandra, HBase Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills Data-oriented personality with solid client-facing consultative skills" Data Scientist,"Chantilly, VA 20151",The Aerospace Corporation,"All Locations: Chantilly, VA (Virginia) A trusted partner. A national resource. A leader in national security space. We are THE Aerospace Corporation. A team that takes pride in our readiness to solve some of the most complex technical challenges in existence. With challenges spanning clandestine to commercial, you’ll have the unique opportunity to work on projects that are literally evolving our nation's space and launch capabilities. We all share a common passion and aspiration – to serve a mission much bigger than ourselves. When you join our team, you’ll be part of a rare collection of thought leaders and game-changing innovators. Are you ready to launch your career? Responsibilities The Machine Intelligence and Exploitation Department applies data analytics, machine learning, and statistical analysis to diverse data types in order to address our customer's analytic needs. The candidate we seek will work with team members across multiple internal organizations and customers to develop innovative data-driven solutions. Key Functions Provide expertise in data analytics and algorithm development supporting the integration, analysis and exploitation of diverse data sources with an emphasis on remotely sensed data. Ability to run and adapt existing machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection. Ability to create, develop, evolve, and improve machine learning, data mining, statistical, and predictive analytics algorithms for pattern recognition and anomaly detection on large diverse data sets. Design, develop and advance new methods to extract information from diverse data sources using flexible querying methods, innovative visualization, and data aggregation/integration, data mining and analytical techniques. Ability to understand the physical phenomenologies in the data. Familiarity with data fusion techniques to help develop automated data aggregation applications. Ability to create modular, hierarchical applications that assist in the automation of human activities. Utilize technical knowledge to deliver high-quality support to multiple Federal Government customers including the oversight of other contractors. Qualifications Required Degree from an accredited university in data science, statistics, applied mathematics or computer science. (Degrees in physical science or engineering are also acceptable). A minimum of 7 years experience post Bachelor’s degree. (Time spent obtaining an advanced degree counts toward this). Experience with remote sensing and/or signal processing. Strong desire to gain experience in the application of machine learning, data mining, and statistical algorithms for pattern recognition, anomaly detection, and the development of predictive models. Strong programming skills in at least one of the following languages: Python, R, Matlab, C++, and JAVA are required with Python being the preference. Strong written and oral communication skills. Must be able to work effectively within a diverse team of data scientists, software engineers, and intelligence analysts. This position requires the ability to obtain and maintain a security clearance, which is issued by the U.S. government. U.S. citizenship is required to obtain a security clearance. Strong problem-solving skills. Strong software development skills. Background in signal processing, image science, imagery exploitation, spectral analysis, spatial analysis, and computer vision. Preferred Advanced degree in data science, mathematics, statistics, computer science, physical science or engineering. Experience in Deep Learning. Experience in Natural Language Processing. Knowledge of commercial and open-source statistical software packages. Experience developing data visualizations or visual analytics applications. Experience with a wide range of databases. Current Top Secret clearance with SSBI. Transcript Requirement Transcripts are required for this position.Additional Requisition Details System Job Title: ENGRG SPECIALIST Clearance Requirement: TS/SSBI Access: SCI Polygraph: Counter Intelligence Polygraph Relocation Available: Yes Employment Type: Regular Work Schedule: Full Time Company Statement The Aerospace Corporation has provided independent technical and scientific research, development, and advisory services to national security space programs since 1960. We operate a federally funded research and development center (FFRDC) for the United States Air Force and the National Reconnaissance Office, and support all national security space programs. We also apply more than 50 years of experience with space systems to provide critical solutions to technologically complex systems in such areas as communications, shipping, law enforcement, and cyber, among others. From our inception, our highly skilled technical staff has focused on ensuring the success of every mission and developing the most effective and economic space-related hardware and software in the world. Our greatest asset is the technical expertise of our people. Our state-of-the-art laboratory facilities are staffed by some of the leading scientists in the world. Equal Opportunity Commitment The Aerospace Corporation is an Equal Opportunity/Affirmative Action employer. We believe that a diverse workforce creates an environment in which unique ideas are developed and differing perspectives are valued, producing superior customer solutions. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, gender, gender identity or expression, color, religion, national origin, sexual orientation, protected veteran status, or disability status. You can also review The Equal Employment Opportunity is the Law poster and the supplement, as well as the Pay Transparency Policy Statement.Nearest Major Market: Washington DC Job Segment: Scientific, Database, Engineer, Secret Clearance, Security Clearance, Engineering, Technology, Government" "Data Scientist, Energy Platform","Houston, TX",Shell,"The Role Where you fit in Shell New Energies focuses on two areas: new fuels and power. New Fuels consists of investments in hydrogen, biofuels, and electric vehicle charging. In Power, we are building up positions across the full electricity value chain, including in renewable generation, retail energy, distributed energy resources, power trading and marketing, and grid services. Within these focus areas, we look for ways to connect customers with new business models for mobility and energy services, enabled by digital technologies and decentralization of energy systems. Development of our IoT platform for Shell New Energy will be paramount in achieving these goals.What’s the role? Energy Platform Team The Energy Platform team is a nimble, cross-functional, deeply technical and passionate group that embodies the speed and agility of a startup while embracing the scale of one of the largest companies in the world. Achieving a balance between agility and global scale provides unique opportunities, and the Energy Platform Team borrows from best-in-class product development, continuous delivery, and commercialization techniques while adapting them to the unique global context within Shell. The Energy Platform team is empowered to coordinate and align Shell’s energy management platform objectives, strategies, and execution approaches across the company, as well as to design, deliver and maintain a mission critical component of Shell’s ability to deliver differentiated products, offerings and capabilities across its expanding global footprint.Accountabilities: Builds, on a daily basis, machine learning and deep learning models, optimizing for deployability and scalability of methods. Have exceptional skills in statistics and machine learning applied to timeseries analysis (ARIMA, GARCH, BSTS, as well as probabilistic methods for ML/DL) Is familiar with applications of distributed compute for ML/DL and has working knowledge of containerized workflows. Are comfortable with a fast pace build, test, ship ML/AI workloads into production under a common API. Has experience abstracting custom APIs for machine learning methods in training and inference. Are eager to work with a cross functional team of energy markets analysts, software developers, ML engineers, to translate business case solutions into new features inside the Energy Platform. Have a passion for implementing ML/DL solutions for real-time inferencing over Asset Telemetry data; and is comfortable applying modern Deep Learning techniques to Time Series data. Are a maniac for data & model quality, provenance and lifecycle management, supporting an MLOps centric culture within our Data Science and Engineering teams. Eager to design, implement and delivery frameworks and workbenches for model building and serving within Energy Platform that enables cross function collaboration. Proven history of working with large scale model optimization and hyperparameter tuning, applied to ML/DL models. Requirements What we need from you. Must have legal authorization to work in the US on a full-time basis for anyone other than current employer Bachelor's degree in a relevant technical discipline. Familiarity with timeseries modeling for financial and electricity market. 3+ years of experience with demonstrable proficiency in one or more mainstream opensource Machine Learning/Deep Learning frameworks: Tensorflow, Torch, Pyro, Keras, Scikit, Statsmodels. Proficiency with Containerized environments and workloads. Experience with object-oriented/object function scripting languages: Python, R, Go, C++, Scala, etc. Excellent analytical, problem-solving, and troubleshooting skills. Care deeply about performance, accessibility and API design. Company Description Shell is a global group of energy and petrochemical companies with about 84,000 employees across more than 70 countries. We aim to meet the world’s growing need for more and cleaner energy solutions in ways that are economically, environmentally and socially responsible. We have expertise in exploration, production, refining and marketing of oil and natural gas, and the manufacturing and marketing of chemicals. As a global energy company operating in a challenging world, we set high standards of performance and ethical behaviors. We are judged by how we act and how we live up to our core values of honesty, integrity and respect for people. Our Business Principles are based on these. They promote trust, openness, teamwork and professionalism, as well as pride in what we do and how we conduct business. Building on our core values, we aspire to sustain a diverse and inclusive culture where everyone feels respected and valued, from our employees to our customers and partners. A diverse workforce and an inclusive work environment are vital to our success, leading to greater innovation and better energy solutions.An innovative place to work There’s never been a more exciting time to work at Shell. Everyone here is helping solve one of the biggest challenges facing the world today: bringing the benefits of energy to everyone on the planet, whilst managing the risks of climate change. Join us and you’ll add your talent and imagination to a business with the power to shape the future – whether by investing in renewables, exploring new ways to store energy or developing technology that helps the world to use energy more efficiently.A rewarding place to work Combine our creative, collaborative environment and global operations with an impressive range of benefits and joining Shell becomes an inspired career choice. We’re huge advocates for career development. We’ll encourage you to try new roles and experience new settings. By pushing people to reach their potential, we frequently help them find skills they never knew they had, or make career moves they never thought possible. Disclaimer Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Royal Dutch/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell participates in E-Verify. All qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, protected veteran status, citizenship, genetic information or other protected status under federal, state or local laws. Shell is an Equal Opportunity Employer - Minorities/Females/Veterans/Disability." Data Scientist,"Saratoga Springs, NY 12866",Humantel,"We are Humantel — a dynamic startup bridging the worlds of data, technology and marketing. Our subscription-based market research platform delivers insights based on the world’s largest ongoing surveys of human emotions, values and attitudes. Big Data tells marketing professionals what consumers do. Our unique brand of human intelligence tells them why. Our business is all about what motivates people. We apply that in the workplace to think and act in ways that support, encourage, and connect you. It takes a flat organization, a creative spirit, and a maverick mindset to create something truly new and innovative together. The Humantel team are global professionals in market research, data science, insights, content creation, and technology. We are united by the belief that human intelligence must be part of every business decision — and there’s a better way to make that happen. The Data Scientist will support our product, sales, leadership and marketing teams with insights gained from analyzing market research data. The Data Scientist is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. ESSENTIAL DUTIES AND RESPONSIBILITIES: Work with stakeholders throughout the organization to identify opportunities for leveraging market research data to drive business solutions Mine and analyze data to drive optimization and improvement of product development, marketing techniques and business strategies Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets that can be replicated across surveys Monitor and closely partner with sample provider to ensure quality of data Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy within data teams. Understand project requirements and translate them into innovative solutions and approaches to data collection that align with the platform specifications Develop and guide protocols in how the data should be tracked and measured for analysis and reporting Identify data risks and implement remedies as required Perform quality audits to ensure data integrity and security, including identifying data collection and technical issues; suggest and follow up with improvements Develop and implement intuitive approaches in order to provide end-users access to select data profiles Review and challenge sampling plan and monitor fielding for quality assurance in partnership with sample provider Implement and maintain internal and third-party analytics platforms as it relates to processing, storage, and broadcasting Provide easy access to select data profiles based on end-user needs Develop and guide protocols in how the data should be tracked and measured for analysis and reporting Manipulate large data sets using database tools/techniques to uncover patterns and trends that will address end-user needs EDUCATION and/or EXPERIENCE: BA or Masters in Statistics, Mathematics, or Computer Science is preferred Experience with attitudinal Market Research data Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Application of advanced statistical techniques and concepts (such as factor analysis, logistic regression, OLS regression, cluster analysis, correspondence analysis, discriminant analysis, segmentation, and structural equation modeling) and experience with applications. Ability to address missing data, run data corrections, use weighting, and calculate measures of reliability and validity JOB QUALIFICATIONS Minimum of 4 years’ experience manipulating data sets and building statistical models Experience in a Market Research Environment Proficiency in Structural Equation Modeling (SEM)" Data Scientist,"Pennington, NJ",Bank of America,"The successful Data Scientist Architect will join an enthusiastic team responsible for designing and implementing the bank’s enterprise-wide data science platform by envisioning and executing projects that leverage modern data science and distributed high-performance computing capabilities to implement mission-critical end-to-end solutions for the global business. This role is highly collaborative: the Data Scientist Architect will develop and maintain consultative relationships with key business stakeholders including business executives, data scientists, data engineers/technologists, risk/compliance functions and other teams across the bank on a broad range of data science projects with a particular focus on machine learning. Many projects involve text/NLP. In total we are seeking three Data Scientists to oversee three areas of responsibility: Data Science Architect – Solutions Development Data Science Architect – Model Risk Management Data Science Architect – Text/NLP Solutions We believe that solid career experience in data science is critical to building an exceptional enterprise data science platform. Therefore we’re looking for data scientists who are keen to use their modeling experience to design and build a state-of-the art data science platform for a community of many thousands of data scientists and hundreds of complex ML/AI models deployed in real-time and at scale. The ideal candidate will have strong quantitative qualifications and excellent communication skills ideally with experience across data science, computer science, business and project management. 7+ years of experience required: at least five years hands-on data science modeling and five years responsibility leading or managing data science or technical projects in a business or industrial environment Expertise with a broad range of data science tools such as machine learning, deep learning, classical regression, decision trees/forests, boosted models, clustering, optimization, and all associated tools and techniques. Strong business communication and project management skills Quantitative degree with strong statistical component: for example Computer Science, Engineering, Physics, Neuroscience, Econometrics, Bioinformatics, etc. Strong experience with Python, SAS, R, Matlab or other statistical modeling tools is expected PhD, Masters, and/or academic research experience is highly regarded Software engineering experience using C/C++/C#/Java/Scala or similar is highly regarded M.B.A and/or strategy consulting experience very highly regarded when combined with a strong quantitative degree and hands on data science experience Shift: 1st shift (United States of America) Hours Per Week: 40" Senior Data Scientist,"Boston, MA 02109 (Downtown area)",Humana,"Humana Insurance Company is seeking a Senior Data Scientist for its Boston, MA location. The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Begins to influence departments strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments. Additional Job Description: Use techniques from supervised and unsupervised machine learning, statistical analysis, or predictive modeling to deliver business insights to prospects and customers Work directly with customers to educate them on moving beyond BI and training their internal resources to execute advanced forms of analytics Create reusable implementations of statistical tests and models using the available technologies in the ecosystem Work with the academic and business community to develop new techniques and to contribute to research in the area of advanced analytics on large databases Generate new product requirements for the engineering group to enhance the analytics capabilities of the database Assist in customer engagement management, requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Use machine learning techniques to assess outcomes of interventions, clinical programs or marketing campaigns Build smart systems that learn from health intervention outcomes over time Required Qualifications Must have Masters degree in Computer Science, Data Analytics, or related quantitative field with three years of related experience or a Bachelors degree in Computer Science, Data Analytics, or related quantitative field with five years of progressively responsible, post-bachelor's related experience. Required experience must include three years (or 5 with a Bachelors degree) in the following areas: Working with and analyzing various types of data using R, SQL or SAS. Required experience must also include 2 years of experience (regardless of degree) in the following areas: Using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions; and Developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting. Pre-employment drug screen and background check required. Send detailed technical resume to Humana,Aynsley Niss, Talent Acquisition Specialist, 500 West Main Street, Louisville, KY 40202, or apply online at www.humana.com/careers (Req # R-226527). EEO. Scheduled Weekly Hours 40" Statistician / Data Analysis Scientist,"Bainbridge, GA 39818",Danimer Scientific,"Summary and Purpose This position requires an individual that is exceptionally strong in statistics and/or mathematics yet also possesses a technical aptitude to work with scientists from a variety of technical disciplines. Several statistical techniques and analytical methods will be used to support research and development. Experience with both the capture of data using different tools, management/manipulation of large data, and extensive knowledge of a wide variety of data analysis methods is important. This candidate will be responsible for gathering existing data and/or generating new data to solve technical, business or project related problems. Data analysis tools and methods include, but are not limited to, linear and non-linear regression, design of experiments, sample size calculations, multivariate methods, genetic algorithm, neural network, Gaussian processes and other machine learning techniques. The analytical work will support a range of projects from highly technical problems to commercial applications. This will also involve projects ranging from manufacturing to development and research. It is expected that this person will create predictive tools that will enable both business and technical decisions. Day to Day Responsibilities: Work alongside scientists and project teams to design and analyze efficient experiments to optimize use of resources to collect information for investigations, validations, and process improvement Develop new theories or expand upon existing theories using a combination of data and direction from project leaders Lead the evaluation, introduction, development and education of advanced statistical procedures to address complex biological questions and apply these procedures to key initiatives for ongoing monitoring and analysis of data Research all external and internal information relative to the problems identified by the project team Collaborate with existing subject matter experts to solve very difficult problems Be imaginative, create, inventive, and implement new or better approaches, alternatives, and breakthrough ideas. Participate on cross functional teams to develop and test hypotheses related to materials understanding Develop individual protocols and statistical analysis plans and independently determine appropriate statistical methodology for analysis Develop models using appropriate methods and software Evaluate appropriateness of available software for planned analyses and ascertain needs for potential program development of novel statistical methodology Execute ad-hoc evaluations of Operations and R&D process data in support of new product introductions which may include reassessment and confirmation of in-process controls and release specifications Exercise scientific judgment regarding advanced statistical methodologies in order to provide research and statistical consulting expertise for product evaluation. Apply advanced statistical knowledge and professional statistical modeling concepts in accordance with company objectives to solve complex biological problems in creative and effective ways. Communicate results to teams and stakeholders as needed Minimum required education and experience: Masters or PhD level graduate in Statistics and/or Mathematics complemented with formal classes in a scientific discipline such as physics or engineering. Required Skills Demonstrated experience and strong technical knowledge in data driven and predictive modeling Data Analysis Experience using any mix of software including, but not limited to: JMP, SAS, and other statistical software (data step processing, developing and calling SAS macros, and running statistical procedures: SAS programming expertise strongly preferred) Proficiency in Statistical Methods including DOE, Hypothesis Testing, Inferential Statistics, ANOVA, Multivariate Analysis, Linear models and Regression Analysis Ability to work effectively, collaborating closely with scientists and working on multi-discipline teams Demonstrated ability to learn, be proactive and motivated, and consistently focus on details and execution Good written and verbal communication skills Desired Skills Familiarity with physics-based modeling for technical fields such as CFD, Heat Transfer or Solid Mechanics Interest in real world applications of Statistical Methods to problems in the sciences and technology Programming Languages: VBA, C/C++, Java, Python Solid knowledge of statistical analysis methodologies and experimental design including how to analyze Genome-Wide Association Study (GWAS) / Next Generation Sequencing (NGS) / Whole exome sequencing WES) / gene expression etc. data Experience with building advanced models using Neural Networks, Genetic Algorithm, etc. Applied consulting experience or project management Soft Skills Must be collaborative and able to openly engage with colleagues to achieve project goals The ability to translate difficult technical concepts to broader audience Self-motivated with an ability to manage one’s own work independently Ability to communicate effectively Ability to take feedback constructively and use it for personal growth Work Environment and Physical Demands The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work is performed in a chemical laboratory and polymer processing setting. In the laboratory setting the handling of chemical agents will be required. Work is performed using office equipment with substantial time spent working on a computer. Requires sufficient hand, arm, and finger dexterity to operate computer keyboard and other office and laboratory equipment. Requires walking, climbing stairs and ladders, bending and occasional lifting of material up to fifty (50) pounds Performance of this position will require exposure to laboratory hazards which require the use of personal protective equipment" Data Scientist,"Framingham, MA 01701",Berg Health,"POSITION SUMMARY: The Data Scientist is a highly motivated and experienced individual who likes to work in a multi-disciplinary team. The Data Scientist will be instrumental in the analysis and interpretation of high-throughput molecular data. Additionally, the individual in this role should have solid Data Sciences background and be strongly goal-oriented with a focus on real-world impact. ESSENTIAL DUTIES AND RESPONSIBILITIES: Statistical and bioinformatics analyses of high-throughput molecular data Interaction with internal and external collaborators to understand, design and develop the requested solutions Development and execution of data analysis protocols to support company's discovery pipeline Presentation of scientific results internally and externally Preparation and submission of scientific manuscripts for review and publication Other duties as assigned REQUIREMENTS: Requires a PhD in Bioinformatics, Statistics, Applied Math, Computer Sciences or related field with a 0-3 years of experience; or a MS with 5-7 years of industry experience Proficiency in R is required. Experience in Bioconductor is preferred Experience in Linux and Big Data technologies Experience in Scala, C, Python and MySQL is a plus Experience in working with NGS is a plus Proven ability to find creative and practical solutions to complex problems Proven experience in applying Data Science methodologies to extract, process and transform data from multiple sources Proven ability to deliver outputs in a comprehensive format that highlights major trends, avoid miss-interpretations and value the conclusions Proven ability to demonstrate attention to detail and record keeping Quick learner, extremely flexible and adaptable to the needs of internal collaborators in a dynamic environment Ability to efficiently work in multiple projects Excellent communication and interpersonal skills Must be able to work in a team-oriented environment" Junior Data Scientist M/F,"New York, NY 10020 (Midtown area)",Société Générale,"Responsibilities The focus of the role is to: Identify business cases, deliver prototype to quickly test if value can be generated. Apply data-driven analysis to model & extract informational value to deliver value add solutions Contribute to defining / creation of data / analytic infrastructure for the team / firm As Junior Data Scientist, you will: Join a small worldwide team of data science experts Help identify business cases, deliver prototype to quickly test if value can be generated. Work with business and technology teams to design and supervise the implementation of data science and machine learning techniques in the Americas Apply data-driven analysis to model quantitative relationships, extract informational value, and formulate forecasts and actionable conclusions Promote the emergence of a cooperative pool of data science talents, provide soft guidance and help in the optimal allocation of these talents to projects Contribute to the technology watch on data technologies; stay current with leading edge systems, methods, and best practices in the data science/machine learning fields and use such product and market knowledge to guide scoping discussions with business unitsProfile Required The VIE assignment in a nutshell This VIE in New York City is to begin as soon as possible but you need to plan 3 months between your application date and the beginning of your VIE assignment. It will last 18 months. The VIE is a specific contract, under Business France’s eligibility criteria, opened to candidates under 28 and from the member states of the European Economic Space. For further information, please see www.civiweb.com. Your profile Graduate with a Master degree from Business school, Engineering School or University, majoring in Computer Science. You have strong Python programming skills. You are fluent in English.Competencies Creative thinking and problem-solving skills Ability to display a clear interpretation, communication, and presentation of results Practical knowledge of machine learning, performing data mining and statistical modelling. Data-access/acquisition skills (relational & nosql databases, rest apis, file systems, queues / buffers, …) Data manipulation skills(file formats: json, xml, csv, …| frameworks: pandas ) Follows source control best practices (git, github, pull requests…) Applies good experiment, and modelling tracking practices (mlflow, data cataloguing, journaling) Foster a collaborative open-minded environment Genuinely curious and passionate about state of the art solutions Responsible and courageous to speak up to highlight potential flaws in solution Why Join Us To facilitate the examination of your application by our English-speaking managers, we thank you for applying in English. Business Insight The data science team focuses on: finding opportunities to leverage data and software to add value to our businesses bridging the gap between legacy techniques and taking a data driven approach. delivering data drive uses cases (e.g. natural language processing, business intelligence, prediction/forecasting, recommendation engines, etc.) We are an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents, regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, sexual or gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination. Job code: 2000028G Business unit: SG CIB Starting date: 04/05/2020 Date of publication: 11/03/2020" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." "Data Scientist, Strategic Analytics","Philadelphia, PA",Comcast,"Business Unit: Data Scientist Strategic Analytics Strategic Analytics is a fast-growing team that provides deep insights and advanced analytics to senior leaders across Comcast Cable. As internal consultants, we support the strategic decisions that drive Comcast’s growth, improve its products, and improve its customers’ experiences. Our team is looking for a hands-on data scientist who can leverage Comcast’s abundant data assets to become a trusted partner for our business leaders and solve their most complex problems. The role is highly visible and provides exposure to a broad range of Comcast’s product and functional areas. Core Responsibilities Proactively identify, prioritize, and conduct analyses that drive meaningful change on key objectives established by senior Comcast leadershipSynthesize actionable insights by joining together large data sets from across the company, and applying appropriate analytical techniquesCommunicate findings clearly and concisely through narrative-driven presentations and effective data visualizations to Comcast executives and decision makersLeverage analytical background to determine when advanced quantitative research tools and models should be used to address stakeholder problems Develop analytic plans and testable hypotheses for key business questions raised by partners to ensure that all important questions are addressed fully, appropriately, and accuratelyEffectively manage competing priorities through planned and ad-hoc requestsPromote and evangelize a culture of excellence, data driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork, while maintaining an environment that is upbeat and fun Primary Competencies:Deeply understand the business challenges faced by Comcast leadership, and their contextIncorporate business acumen into analytical work: make the right assumptions, control for the right variables, and interpret results from the perspective of the business stakeholderGenerate insights from large data sets that are actionable and add value to the businessCommunicate and collaborate effectively with teammates and business stakeholdersAs needed, learn and deploy advanced analytical techniques or data science approaches, including natural language processing, neural networks, random forests, clustering algorithms, graph theoryAble to filter through the ambiguity of business problems to be able to produce a high-quality analysisRegular, consistent and punctual attendance. Must be able to adapt to variable schedule(s) as necessary, and work through other duties and responsibilities as assigned Other Competencies:Strong problem solving and critical thinking skillsEffective communication skills; ability to “tell the story”Highly proficient in SQL. Proficient in or willing to learn other analytical tools such as R, Python, or SASAbility to learn and apply data science, machine learning, or other advanced analytical techniquesAbility to grasp complex analytic principles and techniquesStrong business acumen & demonstrated aptitude for analytics that incite action“Lean forward” bias to find opportunities and drive resultsExceptional attention to detail and ability to progress multiple analyses in parallelAbility to work effectively across functions, disciplines and levelsWork on problems requiring judgment and in-depth evaluation of multiple factorsIndependently identify key issues, patterns or deviations from normSkill in identifying data issues and anomalies during analysisBig Data Experience a plus – working with Hortonworks/Hadoop Educational Level:Minimum: BA/BS degree in marketing, economics, statistics, psychology, engineering, computer science, mathematics, or financePreferred: MA/MS degree in a quantitative discipline Experience:3+ years of relevant work experience in analytic role, including time spent pursuing advanced degree. Comcast is an EOE/Veterans/Disabled/LGBT employer" Data Scientist,"Cambridge, MA 02142 (MIT area)",MIT,"Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren’t found together anywhere else. If you’re curious, motivated, want to be part of a unique community, and help shape the future – then take a look at this opportunity.DATA SCIENTIST, MIT Open Learning-Engineering Team, to support OL business units and researchers, parsing, analyzing, investigating, interpreting, modeling, and extracting knowledge from large volumes of data obtained from online, blended and residential courses. Will work closely with engineering team to develop and maintain the existing OL analytics platform and to design, implement, and maintain scalable software to transform and integrate large complex datasets into a reliable, accessible data infrastructure; ensure integrity, security, and up-time of all databases and data. Establish secure workflows for the transfer and storage of data; develop secure, permissioned systems to present data and results to different audiences; assess data needs across OL and learning researchers; conduct ad-hoc analysis, visualizations, and data presentations to develop standard, repeatable reports with customized parameters; and collaborate on defining data needs and requirements and work closely with technology partners and others on management of these data systems. Job RequirementsREQUIRED: B.S. or higher in computer science or related technical field; at least seven years’ relevant programming experience; proficiency in at least one programming language-Python, R, MATLAB, and/or Stata; solid knowledge of relational and non-relational database systems and SQL; experience designing, developing, delivering, and maintaining data management tools and systems; and strong understanding of the full web technology stack. PREFERRED: comfort with UNIX/Linux as a development environment; experience with Google’s BigQuery; familiarity with source code control systems like GIT, Subversion, or Mercurial; a GitHub profile or link to open source work; experience with the software development life cycle and interactive methodologies; excellent communication skills; self-motivation; and ability to solve business and research problems. Job #18409-10" Data Scientist,"Fort Meade, MD 20755",National Security Agency,"Job Summary NSA is in search of Computer Science professionals to solve complex problems, test innovative approaches and research new solutions to storing, manipulating, and presenting information. We are looking for you to apply your computer science expertise to projects that seek to create new standards for the transformation of information. If you want to develop technologies and tools and be a part of cutting edge innovations ' join our team of experts! Help protect national security interests as part of the world's most advanced team of computer science professionals! Qualifications Candidates for the NSA's Data Scientist roles are asked to complete a data science examination evaluating their knowledge of statistics, mathematics, and computer science topics that pertain to data science work. Passing this examination is a requirement in order to be considered for selection into a data scientist position. Salary Range: $72,351 - $90,157 (Entry/Developmental) *The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. Entry is with a Bachelor's degree and no experience. An Associate's degree plus 2 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. Salary Range: $83,692 - $112,240 (Full Performance) *The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. Entry is with a Bachelor's degree plus 3 years of relevant experience or a Master's degree plus 1 year of relevant experience or a Doctoral degree and no experience. An Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering. Salary Range: $102,663 - $157,709 (Senior) *The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. Entry is with a Bachelor's degree plus 6 years of relevant experience or a Master's degree plus 4 years of relevant experience or a Doctoral degree plus 2 years of relevant experience. An Associate's degree plus 8 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering. Salary Range: $142,701 - $170,800 (Expert) *The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. Entry is with a Bachelor's degree plus 9 years of relevant experience or a Master's degree plus 7 years of relevant experience or a Doctoral degree plus 5 years of relevant experience. An Associate's degree plus 11 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering. Competencies The ideal candidate is someone with a desire for continual learning and strong problem-solving, analytic and interpersonal skills. You might be a great fit for our team if any of the following describe you: - Completed a degree program in the fields of mathematics, statistics, computer science, computational sciences, or a passion for rigorous analysis of data - Tenacity, integrity, persistence, and willingness to learn - Ability to solve complex problems - Use critical thinking and reasoning to make analytic determinations - Works effectively in a collaborative environment - Strong communications skills to both technical and non-technical audiences - The desire to serve over 300 million fellow Americans and make a difference in world events Pay, Benefits, & Work Schedule On the job training, internal NSA courses, and external training will be made available based on the need and experience of the selectee. Monday - Friday, with basic 8 hr/day requirements between 0800 to 1800 (flexible) How to apply To apply for this position, please click the 'Apply' button located at the top right of this posting. After completing the application for the first time, or reviewing previously entered information, and clicking the 'Submit' button, you will receive a confirmation email. Please ensure your spam filters are configured to accept emails from noreply@intelligencecareers.gov. ***PLEASE NOTE: U.S. Citizenship is required for all applicants. Reasonable accommodations provided to applicants with disabilities during the application and hiring process where appropriate. NSA is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph. This position is a Defense Civilian Intelligence Personnel System (DCIPS) position in the Excepted Service under 10 U.S.C. 1601. DoD Components with DCIPS positions apply Veterans' Preference to eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you may be asked to submit documents verifying your eligibility. Please note that you may be asked a series of questions depending on the position you apply for. Your responses will be used as part of the screening process of your application and will assist in determining your eligibility for the position. Be sure to elaborate on experiences in your resume. Failure to provide the required information or providing inaccurate information will result in your application not being considered for this position. Only those applicants who meet the qualifications for the position will be contacted to begin employment processing. Please Note: Job Posting could close earlier than the closing date due to sufficient number of applicants or position no longer available. We encourage you to apply as soon as possible. DCIPS Disclaimer The National Security Agency (NSA) is part of the DoD Intelligence Community Defense Civilian Intelligence Personnel System (DCIPS). All positions in the NSA are in the Excepted Services under 10 United States Codes (USC) 1601 appointment authority. arrow_upwardBack to Top" Senior Data Analyst,"Baltimore, MD","General Healthcare Resources, Inc.","Sr. Data Analyst / Healthcare / Power BI Interested in working for a well-established, Primary Care Medical Group that offers a wide variety of clinical services? Do you want to work for an organization that has been recognized regionally for providing the highest level of quality patient care for over 20 years?Are you a Data Analyst that brings strong Power BI experience and wants to focus more on machine learning/predictive analytics? Do you have a desire to analyze diverse data sets that help derive meaningful clinical insights and lead to improved metrics for an under served patient population?If you answered yes to these questions, please consider applying today!Schedule: Monday – Friday, flexible hours, ability to work remotely up to 2 days per weekCompensation: $75,000-$100,000/yr, dependent on experienceLucrative bonus structure that is paid out quarterlyExtensive benefits package including generous PTO, affordable healthcare coverage, etc.Sr. Data Analyst Qualifications: Proven ability to utilize Power BI analytics tools, requiredBachelor’s Degree in Information Systems or related field, or equivalent work experience3+ years of experience as a Data Analyst in a Healthcare setting, highly preferredTechnical knowledge of SQL, querying and data warehousingAbility to analyze and derive insights from diverse data sets, preferably clinical/quality/financial dataJob Type: Full-timeSalary: $75,000.00 to $100,000.00 /yearExperience:Power BI: 2 years (Required)SQL: 2 years (Required)Healthcare data analysis: 2 years (Required)Additional Compensation:Other formsWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleTuition reimbursementOtherSchedule:Monday to FridayNo weekends" Sr Data Scientist,"Redmond, WA",Microsoft,"Sr Data Scientist– Power Platform & Dynamics 365 Insights and AnalyticsBusiness Applications is one of the four key growth areas for Microsoft and our cloud business over the coming years. As a foundational pillar of the company, the Business Application Group is building the next generation of business applications and platforms that will help businesses large and small succeed in achieving their digital transformation agenda. The products we are responsible for include Dynamics 365, Power Platform (Power BI, PowerApps, Microsoft Flow), Mixed Reality for business and other SaaS applications and workloads. We are seeking a dynamic individual contributor for our Data Science function as part of our Insights and Analytics team. In this role, you will be responsible for delivering deep analytical insights to drive business success as well as productizing models to help drive usage growth of our products. Would you join us on this exciting journey? Responsibilities Your responsibilities Applying statistical and machine learning techniques to problems like text feedback analysis, customer/user segmentation/classification to understand usage trends and drivers of satisfactions You will design experiments, analyze results and produce actionable, trustworthy conclusions from them. Present findings and recommendations to key decision makers at various management levels Drive innovation leveraging Data Science and Machine Learning, to experiment with and establish new ways of driving customer engagement by leveraging data – ultimately resulting in usage and satisfaction growth Engage with customers via public presentations and 1:1 meeting at all levels Qualifications Required Qualifications: Masters, PHD in Data Science, Mathematics, Operational research or related field 5+ years of hands-on experience with data science, big data experience and analytics in a business context. Preferred qualifications Experience in Natural Language Processing Experience with product and service big data telemetry systems Significant experience in Data Science and Machine Learnings with a strong proven track record in delivering positive business impact Strong knowledge in applied statistics and mathematics Significant experience of analytical programming languages such as R and/or Python. Enjoy discovering and solving problems; proactively seeking clarification of requirements and direction; being a self-starter who takes responsibility when required. Strong interpersonal, verbal, visual and presentation skills, ability to communicate complex findings in a simple manner to executives Ability to work collaboratively across multiple business and engineering teams A willingness to learn, share, and improve. You will join a team with a friendly, collaborative, and learning culture that has some of the highest WHI scores at Microsoft.should we make it 2+... this is still 61-62 band?? [AA1] Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work." Data Scientist,"Raleigh, NC",Agari,"----------- About Agari ----------- Founded by thought leaders of Cisco's IronPort solutions, our mission is to build new internet scale data driven security solutions that eliminate email as a channel for cyber attacks and enable businesses and consumers to interact safely. Agari is trusted by leading Fortune 1000 companies, including 6 of the top 10 banks and 5 of the world's leading social media networks, as well as Government Agencies, to protect their organizations, partners, customers and citizens from advanced email phishing attacks. Headquartered in Silicon Valley, Agari is backed by Alloy Ventures, Battery Ventures, First Round Capital, Greylock Partners, Norwest Venture Partners, ScaleVP, and now Goldman Sachs. ----------------- Agari Engineering ----------------- We believe strongly in autonomy for our engineering team; in collaboration with the product owners and engineering colleagues, our engineers are empowered to make decisions about every aspect of our architecture and development process. We're AWS hosted and are working hard to automate away as much of the reactive and tedious aspects of development as possible. We have a nice Scrum approach and look to improve with each sprint. ----------- Your Impact ----------- Work with product stakeholders to identify new product opportunities, new features on existing products, and improve existing features in data driven product focused ways. Help build, train, and maintain machine learning and statistical models and corpuses at the heart of our business. Help cross functional groups access, visualize, and explain company data. Work closely with Data Engineering teams to implement new ideas in performant and stable implementations. Work with stakeholders to identify new product opportunities, new features on existing products, and improve existing features in data driven product focused ways. Quickly assess the potential benefit of projects to help prioritize what to spend engineering energy and time on. Use existing tools and packages where possible, build and invent new ones where not. Help measure and summarize efficacy and product impact. -------------------- Your Keys to Success -------------------- Strong problem solving skills and comfort with applied math and statistics Familiar with at least one programming language suited for data science - python preferred. Experience with at least one ml/stats tool - R, scikit-learn, etc Practical experience building and nurturing predictive/analytic products Experience with several ML techniques and their real world advantages and disadvantages Experience with data architectures - RDBMS, NoSQL, Streaming, etc Degree in applied science with several years experience in production data science Some practical experience with a distributed computing platform ------------------------------- Why we're a great place to work ------------------------------- Won Best Places to Work 2018 Fast-growing cyber security start-up –Won the best Email Security Solution 2018 Competitive benefits package -equity included! Hard working people with a lively office environment Weekly company events – lunches, social happenings, etc (We like to have fun too!)" Summer 2020 - Machine Learning Engineer - Intern,"New York, NY",Samsung Research America Internship,"Title: Summer 2020 - Machine Learning Engineer - Intern Company: Samsung Research America (SRA) Lab: Artificial Intelligence Center Location: New York, New York Lab Summary: Samsung is building a new, forward-looking AI Research lab located in New York, NY, that will conduct fundamental research at the intersection of AI, robotics, and neuroscience. Our team is composed of world experts who collaborate with leading academic groups to create both innovative theories and state-of-the-art technological demonstrations that engender pioneering products and applications for Samsung Electronics over both long and short time scales. We are currently seeking individuals who share our passion and motivation to advance fundamental science and create revolutionary technological prototypes. Team members will have the intellectual freedom to cultivate their research roots by partnering with universities and publishing in leading scientific conferences and journals. Position Summary: The Samsung AI Center works on projects in reinforcement learning, computer vision, robot learning, multimodal sensory processing, 3D reconstruction – the list goes on. Machine Learning Engineering Interns will develop and test algorithms to solve problems in these areas, working closely with Research Engineers and Research Scientists to conduct state-of-the-art machine learning research. Interns will be given significant ownership and independence in project selection and direction, and will contribute directly to the ongoing long-term projects at the Center. Experience Requirements:Candidates must be pursuing or have completed a Bachelor's Degree in Computer Science or a related discipline. Experience with designing, developing and testing machine learning algorithms. Programming experience in one or more of the following: C, C++, Python, and/or functional programming languages. Good communication skills in verbal and written English. Ability to work collaboratively. Motivation to learn and expand knowledge of AI and machine learning. Samsung is an EEO/Veterans/Disabled/LGBT employer. We welcome and encourage diversity as we strive to create an inclusive workplace." Principal Data Scientist,"Hollywood, CA 90028",Ticketmaster,"Job Summary: Awesome Job: Principal Data Scientist Great Location: Hollywood, CA Who we are. We’re fans who help fans everywhere get in to the live events they love. A proud division of Live Nation Entertainment, Ticketmaster has changed the way the world connects with their favorite artists, teams, and shows, and we continue to shape innovation every day. We’re not just a ticketing and technology platform, we’re the dedicated team members who work to enrich lives one amazing experience at a time. And we think that’s pretty amazing. If you’re passionate about the magic of live entertainment like we are, and you want to work at a company dedicated to helping millions of fans experience it, we want to hear from you. Why you should work with us. Our biggest investment is in our people. We intentionally strive to cultivate, create and celebrate a culture of belonging where our employees feel respected and empowered. That is why we're committed to increasing the diversity of our workforce by fostering a truly inclusive community. We offer comprehensive health benefits, 401k matching and student loan assistance, plus career-boosting opportunities like tuition reimbursement and targeted development sessions to help all eligible employees thrive. At Ticketmaster, expect the fast-paced excitement of a startup with the rock-solid support from an industry leader – with plenty of ticket perks on the side. See what it’s like working at Ticketmaster. Ticketmaster welcomes and encourages applications from those in communities historically underrepresented in the technology field. The role: You are an individual with a strong curiosity about, and appreciation for data. What excites you is the ability to work on large data sets representing complex events and model/summarize them using a broad range of algorithms and computational approaches. At Ticketmaster we have an incredibly rich collection of datasets and our site is one of the world's top 5 in terms of transaction volume and user reach. In this role, you would be a member of the Marketplace team at Ticketmaster, operating as a data scientist. You will have the opportunity to explore data, build models and see them all the way into production. We value, as one of our core competencies, a data-driven approach. Our mandate is to use quantitative data on very large scales to deliver an optimal friction-free experience for our fans while simultaneously weeding out bad actors. You will be working with some of the most exciting SW tools and frameworks like Kafka, Spark, Hadoop and Storm just to name a few, along with AWS in a hybrid infrastructure. You will have the opportunity to work on the next generation of Ticketmaster's Verified Fan product. Verified Fan is focused on getting tickets into hands of real fans with minimal friction and one of our core missions is to bridge the gap between the fan and the artist while simultaneously weeding out bad actors. The primary responsibility of the data scientist would be to model the data in order to better identify fans and provide a solution that can be engineered in a truly real-time (streaming, asynchronous) environment. What the job is: In this role you will: Be part of a dynamic, highly-focused team that is responsible for providing machine-learning insights and SW products that engage Ticketmaster's 170+MM users Be collecting and analyzing very large data sets Carry out tasks encompassing data sanitization and data normalization Designing and implementing machine learning algorithms ranging from feature engineering, feature selection, clustering, predictive scoring, classification and ranking Developing SW to prototype new algorithms for identifying true fans, detecting abusive/nefarious entities, user segmentation, user interest discovery, performance optimization and user response prediction as part of a massively parallel and distributed near-real time collaborative filtering system/marketing platform Be directly involved in the productization of your algorithms and ideas into full-fledged commercial-grade SW tools that will directly interact with, and affect the experience of hundreds of millions of users, both domestically and internationally Participate in peer code reviews, write unit tests and provide feedback to other members of the team Carry out rigorous model validation and model tuning/optimization as part of the natural model life-cycle Our job descriptions evolve with our business need and priorities. In addition to the description above, your role may include additional projects and team support as needed. What a qualified candidate should possess: 5+ years of SW development with a high-level programming language (Java, C/C++, Python) Strong machine learning background both on supervised and unsupervised algorithms 5+ years of industry experience, or equivalent and pertinent course work Proficient in SQL and RDBMS's Experience with unit testing frameworks like JUnit, Mockito or similar is desirable Experience with/knowledge of frameworks like Hadoop, Spark, Kafka/Kinesis is desirable Education: BS/MS/Ph.D. in CS, Math or Physics Effective communication skills and enjoying work as part of a team Equal Employment Opportunity Ticketmaster strongly supports equal employment opportunity for all applicants regardless of age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation. We will consider qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Ordinance, for applicants in Los Angeles, California, and consistent with applicable laws in other areas. Hiring Practices The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Ticketmaster recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Ticketmaster may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms." "Data Scientist, Artist Promotion","New York, NY 10011 (Flatiron District area)",Spotify,"We are looking for a Data Scientist to join the Creator Marketplace team – Spotify’s division dedicated to helping artists thrive. Creator’s mission is to build features and services that help artists (and their teams) grow an audience, monetize their fans, and make their best art. A key focus of that mission is to empower artists using Spotify for Artists with measurable marketing tools that find new listeners and activate existing fans. In this role, using our petabytes of data, you will help discover and then optimize how music is promoted, accounting for a complex set of listener preferences and a diverse set of artist goals. In doing so, you will have a meaningful impact on bringing Spotify’s two-sided marketplace vision to life. What you’ll do: Perform analyses and research on large sets of data to extract actionable insights that will help drive Spotify’s strategy across promotional products Work on data projects that balance the needs of our two sided marketplace, considering promotional goals of artists, with listener enjoyment and discovery Work on end-to-end projects to ensure your findings are executed and tested in a desired way Work closely with the engineers on the team to help inform, build and test the models that fuel our products Work closely with cross-functional teams of data scientists, product owners, engineers, designers, and others across the company who are passionate about Spotify’s two sided marketplace Define the metrics we use to measure the health of our marketing tools Work from our offices in New York Who you are: You have a deep understanding of statistics, a strong business sense, and understanding of marketplace dynamics You have at least 3 years of experience in a similar data scientist role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative discipline You have substantial experience with A/B testing, from creating success metrics, running power analyses, determining statistical significance, and communicating those findings with clear product recommendations or implications You have worked with a team of engineers and data engineers building machine learning tools in production and at scale Coding skills (Python or R) Analytics tools experience (SQL) You’re a compelling storyteller who can communicate in succinct and inspiring ways to a variety of audience types to influence real world product or feature decisions You are a communicative person that values building strong relationships with colleagues and stakeholders and have the ability to explain complex topics in simple terms You are comfortable working with distributed teams across multiple offices and timezones You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be brilliant. So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 258 million users." Data Scientist,"Burlingame, CA",GreenPark Sports,"Description GreenPark seeks skilled, experienced, and energetic Data Scientists to join the team! The successful candidates will have substantial experience developing diagnostic analytics and using machine learning to analyze consumer engagement, monetization, and retention. This position will report to the SVP Analytics. We're looking for people who enjoy combining their analytic skills, business acumen, and understanding of consumers to provide our creative team, business leaders and corporate partners with the data and insights that will drive success. The candidates should enjoy both working with people and performing technical analyses. Primary Responsibilities & Job Duties:Use advanced data science techniques and machine learning to analyze player acquisition, engagement, retention, and monetization in free-to-play games. Use machine learning to develop predictive models to identify likely churners, fraudsters and TOS violators, potential high LTV players, etc.… Work with GreenPark's corporate partners to develop meaningful visualizations and reports on player behavior. Provide colleagues with information about the value and use of analytics and guide them in understanding the results. Be a champion for the principles of self-service analytics, data democratization and data-driven decision-making across the company. Requirements:BS/MS in quantitative discipline required (math, physics, statistics, computer science, engineering, economics, etc.) Minimum 2 years of experience applying machine learning in consumer industries. Experience with DataRobot's Auto ML platform is a plus Strong SQL scripting knowledge and experience. Proficiency in working with terabyte-scale data sets is required. Exceptional analytical ability and business judgment. Excellent interpersonal and communication skills. Experience with Google BigQuery is a plus. Experience with Tableau is a plus. Experience with Atlassian products; Jira and Confluence is a plus. Passion for gaming is a plus! Please note: We do NOT offer H1B sponsorship or transfers at this time. Application Materials Resume Cover Letter (Recommended) Hey, that's game, set and match! We offer exciting times ahead, lots of spectacular twists and turns, hard work and the sweet success of achieving something most people wouldn't think possible - if they could imagine it at all. If this sounds like it might be you, then apply now and let's chat. The GreenPark Team Job Applicant Notice at Collection Thank you for your interest in opportunities at GreenPark Sports, Inc. When creating a profile and submitting your application, we will collect the following categories of personal information: direct identifiers, such as your name and contact information; professional information, such as your previous employment, education background, and work authorizations (e.g., work visas); and other information you include in your resume, cover letter and other job application materials, such as your preferences, skills, abilities, and references. We also may collect your social media information if you connect your social media account when creating a profile. We use each category of the information you provide to evaluate your candidacy for the job opening(s) that you apply to and other job openings at GreenPark Sports, Inc. that we think may interest you. We also use each category of information for other business purposes, including to comply with federal and state laws requiring us to maintain certain records, to manage our workforce, to detect security incidents, and to protect against fraudulent or other illegal activity. For more information about how we use your information, please visit our Privacy Policy ( https://greenparksports.com/privacy )." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Senior Biotech Laboratory Technician/Data Analyst Updated 2/28/2020,"Los Angeles, CA 90034 (Palms area)","Laragen, Inc","Laragen, Inc is a biotech company specializing in genomics services. For more than 20 years, we have served academic institutions and private industrial sectors worldwide.We are currently looking for a senior laboratory technician/data analyst. Main job responsibility is genotyping data analysis, reporting results to clients, customer services, receiving samples, setting up PCR reactions, DNA extraction, troubleshooting, lab maintenance, developing SOPs and other lab documents.Required/Preferred skills: - A BA degree or higher in biology with 5+ years related experience in biotechnology- Able to multi-task and able to prioritize responsibilities- Must pay attention to detail.- Extensive computer and MS Excel experience- Extensive experience on real time PCR(qPCR) and genotyping- Strong pipetting skill and molecular biology techniques.- Able to recognize trends and able to be focused and observant- Able to work under pressure and keep up with a fast-paced environment- Can handle a high volume of sample processing. Industry experience preferred- Must be a team player. Good interpersonal skills- Good communication and customer service skills- Knowledgeable with Python is a plus.- Experience with fragment analysis software such as GeneMapper is a plusBenefits: - Medical, Dental, Vision, Life Insurances- 401K, Profit Sharing, Defined Cash Balanced Plan- Paid Time Off, Sick Leave- Bonuses- Flexible hoursJob Type: Full-timeSalary: $18.00 to $26.00 /hourExperience:Industrial Biotech Laboratory: 2 years (Required)PCR: 5 years (Preferred)Education:Bachelor's (Required)Location:Los Angeles, CA (Required)Work authorization:United States (Required)Additional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offOtherThis Job Is Ideal for Someone Who Is:Dependable -- more reliable than spontaneousDetail-oriented -- would rather focus on the details of work than the bigger pictureHigh stress tolerance -- thrives in a high-pressure environmentThis Company Describes Its Culture as:Detail-oriented -- quality and precision-focusedOutcome-oriented -- results-focused with strong performance cultureTeam-oriented -- cooperative and collaborativeSchedule:Monday to FridayOvertime" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"San Diego, CA 92126 (Miramar area)",Salford Systems,"Salford Systems is an advanced data mining software and consulting company based in San Diego, California. We enjoy an open, creative environment, and have developed an international reputation for cuttingedge technology. Salford Systems is affiliated with several of the world's greatest scientists in the field of machine learning, and leads the data mining industry with exciting, innovative products. The perfect Data Scientist candidate, should be experienced with and enthusiastic about using data to drive strategy and product recommendations. Should have strong ability to both engage with senior leaders to design wellconstructed analyses and work with analysts and software engineers to effectively deliver actionable results. A wellrounded and selfstarter top performer who is able to ""crunch the numbers"" one minute and critically think through strategic issues the next. Able to communicate as effectively with managers as with engineers. The ideal candidate is an independent, solutionoriented thinker with a strong background processing huge data sets, applying analytical rigor and statistical methods, and driving toward insights and solutions. Responsibilities may include:Working with our technical and marketing departments to prepare data that will be used for promotional projects and consulting projects.Ability to prepare exemplary analyses on the prepared data to illustrate analytical techniques using our software.Scraping, merging, cleaning, formatting and repurposing of publicly available datasets. Minimum Qualifications: Master’s DegreeAbility to work with raw data sources in a variety of formats.2 years relevant work experience including statistical software (R, SPlus, SAS, or similar), databases and scripting languages (such as Python). Preferred Qualifications:Ability to add opensource and classical statistical approaches to data mining approaches to enhance our consulting projects and participation in data mining competitions.MS in Statistics or related (e.g. Mathematics, Physics, Ops Research).4 years of relevant work experience.Substantial realworld experience.Ability to draw conclusions from data and recommend actions.Demonstrated willingness to both teach others and learn new techniques.Demonstrated selfdirection.Contact: Please send resume and wage history and requirements to:HR@salfordsystems.com. Company: Salford Systems Location: San Diego, CA" Data Scientist,"Palo Alto, CA",PERITUS.AI,"About Peritus Peritus enables self-healing autonomous datacenters with automated, cognitive support for infrastructure software and hardware. It is a funded startup co-created at The Hive in Palo Alto, CA that delivers artificial intelligence-based virtual support expert systems for data center service fulfillment and incident resolution. As datacenter vendors move from on-premise to the cloud their existing support system lacks the agility and cost-effectiveness for the cloud. Peritus significantly enhances operational efficiencies of existing support services and enables managed service providers & system vendors to offer new business continuity entitlements. Peritus assists & automates a wide spectrum of decisions in system support including incident classification, routing, contract coverage, incident resolution recipes and orchestration of incident management between subject matter experts (SMEs). Peritus’ unique vectorization of system log data drives predictive modeling with highly granular feature extraction for early detection of system events. The platform’s advanced natural language processing (NLP) capabilities drive Peritus’ incident modeling and predictive capabilities. The core service fulfillment engine uses a combination of supervised and unsupervised methods to predict incident features from system log data. Peritus delivers automated orchestration of incident resolution through its close integration with existing incident management platforms. Job Description As part of the engineering team, drive and execute the Machine Learning/Artificial Intelligence technology roadmap to solve the challenges of dealing with structured, semi-structured and unstructured data in the context of a datacenter. In short, it’s about machines learning about machines, i.e., Systems ML. Responsibilities Advance the Machine Learning capabilities of the product. Analyze, select and implement Machine Learning/AI algorithms that improve the relevance of related incidents, the accuracy of resolutions and routing of incidents. Experiment with multiple algorithms simultaneously to identify the optimal algorithm. Enhance the experimentation platform by incorporating implicit and explicit feedback from users. Understand the data by interacting with the Subject Matter Experts. Qualifications & Expertise You have a Master’s /Ph.D. in Computer Science, Machine Learning or equivalent field. You have experience in building products from scratch using machine learning. You have proven experience in developing algorithms using Python or C++ or Scala in one or more of the following fields: machine learning, data analytics, information retrieval. You have experience applying statistics, probability, and machine learning to real business problems. You have experience in Natural Language Processing such as topic extraction, building knowledge graph (ontology). You have experience in building machine learning models for time series data. You have experience with Deep Learning frameworks (TensorFlow), applications, or services. You have excellent knowledge in an optimal computational environment required for data processing, mining and machine learning Your knowledge in one or more of the following data center supportability technologies will be a big plus – networking, storage, supportability (e.g. incident management, systems diagnostics). You are smart, get things done, have great energy and thrive in a fast-paced early-stage startup environment. You have a passion for creating customer value by applying cutting edge innovations in data science & technology. Please send your resumes to jobs@peritus.ai" Data Scientist (PeopleSoft),"Carlsbad, CA",Centauri,"Centauri Software Engineers develop breakthrough products and innovative software applications for government and commercial customers. As a software engineer you will work individually or on a small team. Projects last approximately one year in duration so there is frequent opportunity to move to between new projects and teams. We are looking for engineers who are versatile, have demonstrated an outstanding level of academic achievement, enjoy working in a fast based environment, like to consistently tackle new problems and exceed customers’ expectations. Responsibilities: Work with team lead to define software requirements Design, develop, system software for our customers Explore new areas or program in new languages to deliver a complete product Support on-site meetings and deliveries to customers Analyze, troubleshoot, and optimize deployed webapp/database systems Minimum Qualifications: Minimum of 5 years with data analysis, database federation, data quality Minimum of 5 years software development, object-Oriented design and programming, including design, coding, and testing experience Experience with postgres, NoSQL, REST APIs Experience with web services and JavaScript (ReactJS) Bachelor’s degree in Computer Science, Engineering, or related discipline Strong communication and interpersonal skills Ability to work independently as well as part of a team to achieve customer and company goals Preferred Qualifications: Hands-on Experience with PeopleSoft HCM Hands-on Experience with Java, C/C++, .NET languages (C#, Python) Experience using machine learning for anomaly detection, data clustering, or NLP MS/PhD in Computer Science, Engineering, or related discipline Azure, AWS, Security+ certifications Security Requirements: Must meet eligibility requirements for a security clearance. Travel: up to 25%" Data Scientist,"Seattle, WA",ASSURANCE,"About Assurance At Assurance we are disrupting the antiquated and inefficient world of insurance and financial services. Our team of world class software engineers, data scientists, and business professionals are modernizing how people obtain and manage their financial life all through our powerful platform ecosystem. We are rapidly growing as we expand our product offerings and global footprint, and this growth continues to present new and exciting challenges as we push our industry into its future. We eliminate waste throughout the industry and calculate the complex into simple, valuable solutions to improve people's lives. We are humble, driven, and committed to improving the lives of millions. About the Position As we build the future of consumer insurance in a modern age, data is at the core of everything that we do. The role requires team members who are adept at using large data sets to find opportunities for optimization and can leverage appropriate models to test the effectiveness of different courses of action. Our team uses a variety of data mining and analysis methods, a variety of data tools, builds and implements models, develops algorithms, and creates simulations. Team members must be very comfortable writing production-ready code to include testing and maintenance infrastructure, and able to put models and analysis into production with no support from engineering (we own our stack end to end). At Assurance, we hire experts in their field, and we give them the independence and trust to build based on their expertise. About You You have a proven ability to drive business results with data-based insights and are comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. You’re capable of getting data for analysis on your own, without reliance on engineering, and you can build professional dashboards as standalone software products and tools. We’re growing at a rapid pace, so it’s important that you embrace the opportunity to blaze your own trail. You thrive in a fast-paced environment where priorities can shift rapidly as we corner opportunity. You can work independently, with little oversight or guidance. To be successful in this role, you must possess the following: Proficiency in either Python or R, and expertise in SQL. Experience working with AWS or another cloud-based computing platform. Experience and working knowledge of data infrastructure, pipelines, and advanced data manipulation. Experience with BI tools like Tableau or Looker (preferred), or any other industry tool such Qlik, PowerBI, Spotfire, etc. Excellent communication ability – you can explain your work in a way that anyone on the team can understand, and you can frame problems in a way that ensures the right question is being asked. Business Acumen – you are always eager to understand how the business works, and more specifically, how your work impacts the business. Enthusiastic yet humble – you are excited about the work you do, but you are also humble enough to embrace feedback – you don’t need to be the smartest person in the room. Bachelors degree in mathematics, statistics, data science or related field of study. The following additional experience is desired: Experience retraining a model within a few days or update a model within one day. Capable of performing an in-depth analysis and summarizing findings in one day. Comfortable having conversations with our executive team and non-technical team members to distill down their needs and to deliver actionable insights." Senior Data Analyst,"Los Angeles, CA",GOAT,"In this role you will: Use data to drive business decisions across multiple organizations within the company Design, automate, and optimize pipelines, dashboards, and insight delivery methods Support ideation of new features and business initiatives from beginning to end by evaluating potential impact, implementing new tracking, and performing post analysis Conduct ad hoc analyses as well as deep dives with a focus on growing and improving the business Recommend improvements and optimizations highlighted by data across all elements of company’s activities and eco-system Become an expert of our data and evangelize data driven decision making Be flexible to manage other assignments as they come up We are looking for: BS degree in a relevant technical field required 3+ years experience in data analytics, ideally in e-commerce or at a startup Mastery of SQL Excellent communication and relationship building skills with an ability to prioritize, negotiate, and work with a variety of internal and external stakeholders A quick learner, a self-starter, able to work independently, and you're willing (and able) to handle the pressures of an increasing level of responsibility GOAT is the global platform for style. Founded in 2015 to bring trust to the sneaker community, the technology platform has since expanded to offer apparel and accessories from the world’s leading contemporary, avant garde and luxury brands. Through its unique positioning between the primary and resale markets, the company is able to surface styles from the past, present and future, delivering authentic product to over 20M members across 164 countries. The company is backed by strategic investor Foot Locker, Inc. as well as some of the leading names in venture capital including Accel, Andreessen Horowitz, Index Ventures, Matrix Partners, Upfront Ventures, Webb Investment Network and Y Combinator. GOAT Group will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, if applicable. If you are a California resident, please review our California Privacy Rights Notice for Job Applicants." Data Scientist,"San Jose, CA",WeRide.ai,"This role requires you work closely with a variety of teams (Planning, Decision, Prediction, Simulation, Product) to analyze and leverage wide variety of data from road test and simulated driving in order to improve the self-driving performance of WeRide's Robotaxi. You will be responsible for:Evaluate the safety performance based on road test and simulated data Analyze and improve existing data sources and metrics Coordinate with different functional teams to implement models and monitor outcomes Develop processes and tools to monitor and analyze model performance and data accuracy Bring statistical depth, general analytical rigor, and accurate causal interpretation of data Requirements:MS/PhD degree in Statistics, Mathematics, Computer Science or other quantitative area 2+ years of experience manipulating large data sets and building statistical models Solid skills using R/Python and statistical libraries to manipulate data and draw insights form data sets Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Proven ability to understand a complex system and its various components Experience with tools for manipulating big data Preferred to have:Experience with C++ Familiarity with Spark/MapReduce Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks WeRide.ai offers competitive salaries with demonstrated experience. Employee benefits include: Premium Medical, Dental and Vision Plan Free Daily Breakfast, Lunch and Dinner Paid vacations and holidays Phone reimbursement Gym reimbursement Driven by artificial intelligence, WeRide is a smart mobility company that intends to create Level 4 autonomous vehicles for the Chinese market. WeRide was founded in Silicon Valley in April 2017 and established its global headquarters in Guangzhou, China." Data Scientist - Advertising Technology,"New York, NY",Amazon.com Services LLC,"Bachelor's Degree3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)2 years working as a Data ScientistAbout Amazon Advertising: Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. About our team: Our team's mandate is to accelerate advertising in the Books category as it requires a differentiated customer and advertiser experience. We own end-to-end the advertising experience including placements, ad relevance, creative, ad serving, advertiser experience, and marketing. We are looking for entrepreneurial, innovative individuals who thrive on solving tough problems. We are investing in a deep science and technical team to pursue a transformation opportunity. About this role: We are seeking a talented, energetic, entrepreneurial, and self-driven Senior Data Scientist to join our team. Our team works on complex science, engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. Leveraging Amazon's massive data repository, our data scientists develop experiments, insights and optimizations that enable the monetization of Amazon online and mobile search properties while enhancing the experience of Amazon shoppers. In this role, you will:Solve new and challenging problems using statistical, Machine Learning, or optimization approaches to create measurable customer facing impact.Translate prototype models to production quality, scaling to millions of customers and across different languages.Design experiments leveraging your models to measure effectiveness.Work closely with product, business and engineering teams to execute on your project plans.Communicate verbally and in writing to senior leaders with various levels of technical knowledge, educating them about your approach, as well as sharing insights and recommendations.Drive best practices on the team; mentor and guide junior members to achieve their career growth potential. Masters or PhD Degree in Statistics, Applied Mathematics, Computer Science, Operations Research, Economics or a related quantitative field.Experience in the Ad-Tech industryExperience building content based recommendation modelsExperience in NLP techniquesExcellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. #sspajobs #sspasv #adsto #booksvert" Sr. Data Scientist,"Princeton, NJ",ActiveSoft,"Job SummaryRole: Data scientistLocation: Princeton Area, NJDuration: Long TermDetails9+ years’ experience in data analytics, data science, quantitative analysis using statistical computer languages (R, Python, SLQ, etc.) to draw insights from large data sets4+ years of Python/PySpark development in complex big data environments (data warehouse, data lake, Hadoop)Experience with variety of machine learning and advanced statistical techniquesCapital markets and/or money center bank experienceBachelor’s degree in computer science, engineering, mathematics or other quantitative disciplineThanks and Regards,Chanchal SharmaDesk: 404-777-1914Cell: 678-408-1834Job Type: ContractExperience:data analytics, data science: 9 years (Preferred)Python/PySpark: 5 years (Preferred)Location:Princeton, NJ (Preferred)Work authorization:United States (Preferred)Contract Renewal:Possible" Product Data Scientist - Ads Data Science,"San Francisco, CA 94103 (South of Market area)",Twitter,"Who We Are The team is responsible for placing each and every ad that Twitter serves. While placing those ads we decide how best to balance user experience, advertiser results, and Twitter revenue. Our team optimizes supply/demand, operation points and trade-offs for the ads marketplace, as well as improve product outcomes by applying data science. We routinely deliver significant improvements to our revenue, and work in a close sync with our executive staff (including our COO & CFO) due to our direct impact on Twitter’s business. What You’ll Do We’re looking for a key individual contributor to drive our advertising products forward. We decide which ads to serve billions of times a day under a sub-second setting. You will ship new features and optimize existing products. You will perform rigorous analysis, understand our advertising products, experiment, make data-driven decisions, optimize for impact, and measure performance funnels. Your team will empower you with the autonomy to make good product decisions and discover/understand the software and product stack. You’ll own significant projects end-to-end. The small teams of talented, passionate people in which you’ll work will include engineers and data scientists from across the revenue engineering organization. We work on every high-priority ads project at Twitter. Who You Are You’re a data scientist with a track record of delivering results. You find satisfaction in shipping changes that deliver measurable impact in the form of immediate revenue. You apply machine learning and data science techniques when applicable, but are just as happy to implement a simple heuristic when you find it’s as effective at driving impact to your product. You’re looking to join a strong, high-performing team. Sample Projects We build new ways for advertisers to buy ads on Twitter, such as paying up front for guaranteed results We design incrementality studies to measure the lift in brand awareness that our advertising campaigns drive We dive into individual products (e.g. video ads) to improve results for our most critical business priorities We evaluate the impact of ads on new Twitter users, determining how to show them ads in order to maximize their long-term usage of the product We are responsible for measuring the results of all experiments on Twitter adsRequirements Experience using data intelligently to optimize product performance Experience performing analysis on raw event data in modern data warehouse systems Deep understanding of data platforms in which you’ve previously worked Good understanding of how to grow and shape data tools and datasets to improve data-driven decision making Ability to thrive in an unstructured environment, working autonomously on a strong team to find opportunity and deliver business impact Good understanding of (one or more of the following): Python or R Bonus Points Past experience in adtech PhD or MS in computer science, machine learning, or statistics Good understanding of (one or more of the following): Java, Scala, or C++ Interesting side projects or Kaggle competition results We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records." Data Scientist - Analytics,"San Francisco, CA",Plaid,"At Plaid, we believe that the way consumers and businesses interact with their finances will drastically improve in the next few years. Our goal is to build tools and products to enable developers to create this next generation of financial services applications. Today, hundreds of companies such as Venmo, Square, and Coinbase rely on Plaid to integrate with banks and the financial system. Making data driven decisions is key to Plaid's culture. To support that, we need a data science team that can build and maintain core data sets, metrics, and dashboards. In the product development process. we rely on experimentation heavily, so that we can quantify the impact of new features and products and rapidly iterate. We also provide tools and guidance to teams across engineering, product, and business to help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively.Our data science culture is IC-driven - we favor bottom-up ideation and empowerment of our incredibly talented team. We are looking for data scientists who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them. What excites you Designing and interpreting experiments to measure the impact of new features on Plaid's website and mobile SDKs Defining core data sets and schemas, as well as visualizing and tracking key metrics Running impactful inferential analyses and data investigations to identify recurring patterns, root causes, and propose actionable product solutions Communicating analyses and data-backed recommendations to stakeholders Championing a data-first approach toward decision-making across the entire organization Mentoring and growing other data scientists into senior roles and establishing a culture of statistical excellence What excites us 5+ years of industry experience in a Product Data Science role Deep understanding of various statistical techniques and experimentation analysis workflows Strong familiarity with SQL, data visualization tools, and working knowledge of Python Data engineering experience and data pipeline tooling (e.g. Airflow, Redshift) experience is a plus Bachelor's degree or equivalent work experience in Computer Science, Mathematics, Statistics, Operations Research, Economics, or a closely related field We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Senior Biotech Laboratory Technician/Data Analyst Updated 2/28/2020,"Los Angeles, CA 90034 (Palms area)","Laragen, Inc","Laragen, Inc is a biotech company specializing in genomics services. For more than 20 years, we have served academic institutions and private industrial sectors worldwide.We are currently looking for a senior laboratory technician/data analyst. Main job responsibility is genotyping data analysis, reporting results to clients, customer services, receiving samples, setting up PCR reactions, DNA extraction, troubleshooting, lab maintenance, developing SOPs and other lab documents.Required/Preferred skills: - A BA degree or higher in biology with 5+ years related experience in biotechnology- Able to multi-task and able to prioritize responsibilities- Must pay attention to detail.- Extensive computer and MS Excel experience- Extensive experience on real time PCR(qPCR) and genotyping- Strong pipetting skill and molecular biology techniques.- Able to recognize trends and able to be focused and observant- Able to work under pressure and keep up with a fast-paced environment- Can handle a high volume of sample processing. Industry experience preferred- Must be a team player. Good interpersonal skills- Good communication and customer service skills- Knowledgeable with Python is a plus.- Experience with fragment analysis software such as GeneMapper is a plusBenefits: - Medical, Dental, Vision, Life Insurances- 401K, Profit Sharing, Defined Cash Balanced Plan- Paid Time Off, Sick Leave- Bonuses- Flexible hoursJob Type: Full-timeSalary: $18.00 to $26.00 /hourExperience:Industrial Biotech Laboratory: 2 years (Required)PCR: 5 years (Preferred)Education:Bachelor's (Required)Location:Los Angeles, CA (Required)Work authorization:United States (Required)Additional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offOtherThis Job Is Ideal for Someone Who Is:Dependable -- more reliable than spontaneousDetail-oriented -- would rather focus on the details of work than the bigger pictureHigh stress tolerance -- thrives in a high-pressure environmentThis Company Describes Its Culture as:Detail-oriented -- quality and precision-focusedOutcome-oriented -- results-focused with strong performance cultureTeam-oriented -- cooperative and collaborativeSchedule:Monday to FridayOvertime" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" NLP Data Scientist,"Washington, DC 20001 (Shaw area)",Sayari Labs,"NLP Data Scientist, Washington, DC About Sayari Labs: Sayari is a venture-backed and founder-led global corporate data provider and commercial intelligence platform, serving financial institutions, legal and advisory service providers, multinationals, journalists, and governments. Thousands of analysts and investigators in over 30 countries rely on our products to safely conduct cross-border trade, research front-page news stories, confidently enter new markets, and prevent financial crimes such as corruption and money laundering. We at Sayari define our culture by a dedication to our mission of using open data to prevent illicit commercial and financial activity, a passion for finding novel approaches to complex problems, and an understanding that diverse perspectives create optimal outcomes. We embrace cross-team collaboration, encourage training and learning opportunities, and reward initiative and innovation. If you like working with supportive, high-performing, and curious teams, Sayari is the place for you. Position Description: Sayari is looking for a mid-level to senior NLP Data Scientist to join our Data Science team located in the heart of Washington, DC, a block away from the Chinatown metro. The Data Science team is an integral part of our Engineering division and works closely with our Software Engineering and Product teams, as well as other key stakeholders across the business. What You Will Do: We need your help to harvest and transform hundreds of millions of structured and unstructured records from over 150 countries and 30 languages into a dynamic and meaningful graph of entities and relationships. What You Will Need: Minimum three years experience in Natural Language Processing or closely related field with successful delivery of product offerings Minimum three years experience developing in Python (e.g. pandas, NumPy, Scrapy) Practical knowledge of preprocessing, TF-IDF, NER, word embeddings, word2vec, fastText, BERT, and other contextual embeddings Ability to work with subject matter experts to extract data across structured and unstructured data sources Experience parallelizing code on CPU/GPUs and either in AWS or GCP Experience with Apache Spark and one or more of deep learning frameworks Comfortable with NLP-related deep learning such as LSTM, RNN, and CNN Production and containerized technologies including GitHub, Docker, and Kubernetes What We Would Like: Worked with with Apache Kafka, NiFi, ElasticSearch Experience coding in Scala a plus Experience with Machine Translation and BERT Following latest developments in transfer learning, GLUE, and SuperGLUE benchmarks Who You Are: Strong process-oriented self-starter, with impeccable organizational skills Desire to work in a start-up environment, where iteration and learning is encouraged Ability to clearly articulate design intent and rationale Excellent communication and presentation skills What We Offer: Limitless growth and learning opportunities A collaborative and positive culture - your team will be as smart and driven as you A strong commitment to diversity, equity & inclusion Outstanding competitive compensation & comprehensive benefits package, including full healthcare coverage plans, commuter benefits, 401K matching, generous vacation, and a variety of other benefits. How to Apply: Please submit the job application using Sayari Labs Career page by Tuesday, March 31, 2020. Sayari is an equal opportunity employer and strongly encourages diverse candidates to apply. We believe diversity and inclusion mean our team members should reflect the diversity of the United States. No employee or applicant will face discrimination or harassment based on race, color, ethnicity, religion, age, gender, gender identity or expression, sexual orientation, disability status, veteran status, genetics, or political affiliation. We strongly encourage applicants of all backgrounds to apply. gtyUl3f0s7" Data Scientist,"San Diego, CA 92126 (Miramar area)",Salford Systems,"Salford Systems is an advanced data mining software and consulting company based in San Diego, California. We enjoy an open, creative environment, and have developed an international reputation for cuttingedge technology. Salford Systems is affiliated with several of the world's greatest scientists in the field of machine learning, and leads the data mining industry with exciting, innovative products. The perfect Data Scientist candidate, should be experienced with and enthusiastic about using data to drive strategy and product recommendations. Should have strong ability to both engage with senior leaders to design wellconstructed analyses and work with analysts and software engineers to effectively deliver actionable results. A wellrounded and selfstarter top performer who is able to ""crunch the numbers"" one minute and critically think through strategic issues the next. Able to communicate as effectively with managers as with engineers. The ideal candidate is an independent, solutionoriented thinker with a strong background processing huge data sets, applying analytical rigor and statistical methods, and driving toward insights and solutions. Responsibilities may include:Working with our technical and marketing departments to prepare data that will be used for promotional projects and consulting projects.Ability to prepare exemplary analyses on the prepared data to illustrate analytical techniques using our software.Scraping, merging, cleaning, formatting and repurposing of publicly available datasets. Minimum Qualifications: Master’s DegreeAbility to work with raw data sources in a variety of formats.2 years relevant work experience including statistical software (R, SPlus, SAS, or similar), databases and scripting languages (such as Python). Preferred Qualifications:Ability to add opensource and classical statistical approaches to data mining approaches to enhance our consulting projects and participation in data mining competitions.MS in Statistics or related (e.g. Mathematics, Physics, Ops Research).4 years of relevant work experience.Substantial realworld experience.Ability to draw conclusions from data and recommend actions.Demonstrated willingness to both teach others and learn new techniques.Demonstrated selfdirection.Contact: Please send resume and wage history and requirements to:HR@salfordsystems.com. Company: Salford Systems Location: San Diego, CA" Sr. Data Analyst,"Marina del Rey, CA 90292",Dollar Shave Club,"ABOUT DSC: We’re on a mission to help guys take care of their minds and bodies so they can be their best selves. We started with razors way back in 2011, and now millions and millions of Members later, we’ve expanded into a variety of products including skincare, hair styling, oral care, colognes, deodorants, and more. We’re always growing and reinventing, and we rely on killer talent to help us achieve our goal of owning the bathroom. If you’re a team-playing innovator, you’ll fit right in. A sense of humour helps, too. ROLE SUMMARY: DSC has a data-driven decision culture and looking for a candidate with strong data curiosity and who can strive in a fast-paced environment and enjoys the challenge of highly complex business contexts and above all, passionate about data and analytics. As a Sr. Data Analyst, you will partner with the digital product team to evaluate the impact, effectiveness and ROI on the key digital initiatives, A/B or multivariate tests. You will provide analysis and insights on strategic initiatives across member journeys to improve LTV, product adoption, AOV, Retention etc. using SQL queries, Tableau dashboards, Python, as well as automating reporting and managing alerts on KPI thresholds. A successful candidate understands and can work across multiple analytics tools including web analytics platforms like Google Analytics and comfortable working with big data sets and multiple data sources. The candidate should have an internal drive to answer ""why?"" questions. The candidate will be self-starter, comfortable with ambiguity and ability to communicate up and down the chain.RESPONSIBILITIES: Partner with the digital product team to evaluate the impact and ROI on the key initiatives, A/B tests or multivariate tests Provide data structure requirements to Data Engineering and build data sets for exploration to enable deep data exploration to uncover ""Why?"" and ""What?"" Leverage Python and other tools to run complex data analysis, statistical stat sig for A/B tests, regression models etc. Build automated data extracts for Tableau automation that supports dashboards and self-service Translate the results of an analysis into easily understood insights and recommendations to share with the business teams and executives QUALIFICATIONS: Bachelor’s Degree in Math, Economics, Engineering or Statistics Minimum 4 years of work experience in a similar role SQL proficiency and good ability with Tableau and Python required Highly collaborative working approach Clear & concise communicator - Dollar Shave Club is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identification, national origin, disability, or protected veteran status. Reasonable Accommodation: Dollar Shave Club provides reasonable accommodation so that qualified applicants with a disability may participate in the selection process. Please advise us of any accommodations you request in order to express interest in a position by e-mailing: accommodations@dollarshaveclub.com Please state your request for assistance in your message. Only reasonable accommodation requests related to applying for a specific position within Dollar Shave Club will be reviewed at the e-mail address supplied. Dollar Shave Club will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance. Thank you for considering a career with Dollar Shave Club #LI-MA1" "Data Scientist, Energy Platform","Houston, TX",Shell,"The Role Where you fit in Shell New Energies focuses on two areas: new fuels and power. New Fuels consists of investments in hydrogen, biofuels, and electric vehicle charging. In Power, we are building up positions across the full electricity value chain, including in renewable generation, retail energy, distributed energy resources, power trading and marketing, and grid services. Within these focus areas, we look for ways to connect customers with new business models for mobility and energy services, enabled by digital technologies and decentralization of energy systems. Development of our IoT platform for Shell New Energy will be paramount in achieving these goals.What’s the role? Energy Platform Team The Energy Platform team is a nimble, cross-functional, deeply technical and passionate group that embodies the speed and agility of a startup while embracing the scale of one of the largest companies in the world. Achieving a balance between agility and global scale provides unique opportunities, and the Energy Platform Team borrows from best-in-class product development, continuous delivery, and commercialization techniques while adapting them to the unique global context within Shell. The Energy Platform team is empowered to coordinate and align Shell’s energy management platform objectives, strategies, and execution approaches across the company, as well as to design, deliver and maintain a mission critical component of Shell’s ability to deliver differentiated products, offerings and capabilities across its expanding global footprint.Accountabilities: Builds, on a daily basis, machine learning and deep learning models, optimizing for deployability and scalability of methods. Have exceptional skills in statistics and machine learning applied to timeseries analysis (ARIMA, GARCH, BSTS, as well as probabilistic methods for ML/DL) Is familiar with applications of distributed compute for ML/DL and has working knowledge of containerized workflows. Are comfortable with a fast pace build, test, ship ML/AI workloads into production under a common API. Has experience abstracting custom APIs for machine learning methods in training and inference. Are eager to work with a cross functional team of energy markets analysts, software developers, ML engineers, to translate business case solutions into new features inside the Energy Platform. Have a passion for implementing ML/DL solutions for real-time inferencing over Asset Telemetry data; and is comfortable applying modern Deep Learning techniques to Time Series data. Are a maniac for data & model quality, provenance and lifecycle management, supporting an MLOps centric culture within our Data Science and Engineering teams. Eager to design, implement and delivery frameworks and workbenches for model building and serving within Energy Platform that enables cross function collaboration. Proven history of working with large scale model optimization and hyperparameter tuning, applied to ML/DL models. Requirements What we need from you. Must have legal authorization to work in the US on a full-time basis for anyone other than current employer Bachelor's degree in a relevant technical discipline. Familiarity with timeseries modeling for financial and electricity market. 3+ years of experience with demonstrable proficiency in one or more mainstream opensource Machine Learning/Deep Learning frameworks: Tensorflow, Torch, Pyro, Keras, Scikit, Statsmodels. Proficiency with Containerized environments and workloads. Experience with object-oriented/object function scripting languages: Python, R, Go, C++, Scala, etc. Excellent analytical, problem-solving, and troubleshooting skills. Care deeply about performance, accessibility and API design. Company Description Shell is a global group of energy and petrochemical companies with about 84,000 employees across more than 70 countries. We aim to meet the world’s growing need for more and cleaner energy solutions in ways that are economically, environmentally and socially responsible. We have expertise in exploration, production, refining and marketing of oil and natural gas, and the manufacturing and marketing of chemicals. As a global energy company operating in a challenging world, we set high standards of performance and ethical behaviors. We are judged by how we act and how we live up to our core values of honesty, integrity and respect for people. Our Business Principles are based on these. They promote trust, openness, teamwork and professionalism, as well as pride in what we do and how we conduct business. Building on our core values, we aspire to sustain a diverse and inclusive culture where everyone feels respected and valued, from our employees to our customers and partners. A diverse workforce and an inclusive work environment are vital to our success, leading to greater innovation and better energy solutions.An innovative place to work There’s never been a more exciting time to work at Shell. Everyone here is helping solve one of the biggest challenges facing the world today: bringing the benefits of energy to everyone on the planet, whilst managing the risks of climate change. Join us and you’ll add your talent and imagination to a business with the power to shape the future – whether by investing in renewables, exploring new ways to store energy or developing technology that helps the world to use energy more efficiently.A rewarding place to work Combine our creative, collaborative environment and global operations with an impressive range of benefits and joining Shell becomes an inspired career choice. We’re huge advocates for career development. We’ll encourage you to try new roles and experience new settings. By pushing people to reach their potential, we frequently help them find skills they never knew they had, or make career moves they never thought possible. Disclaimer Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Royal Dutch/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell participates in E-Verify. All qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, protected veteran status, citizenship, genetic information or other protected status under federal, state or local laws. Shell is an Equal Opportunity Employer - Minorities/Females/Veterans/Disability." Data Scientist,"Chantilly, VA 20151",The Aerospace Corporation,"All Locations: Chantilly, VA (Virginia) A trusted partner. A national resource. A leader in national security space. We are THE Aerospace Corporation. A team that takes pride in our readiness to solve some of the most complex technical challenges in existence. With challenges spanning clandestine to commercial, you’ll have the unique opportunity to work on projects that are literally evolving our nation's space and launch capabilities. We all share a common passion and aspiration – to serve a mission much bigger than ourselves. When you join our team, you’ll be part of a rare collection of thought leaders and game-changing innovators. Are you ready to launch your career? Responsibilities The Machine Intelligence and Exploitation Department applies data analytics, machine learning, and statistical analysis to diverse data types in order to address our customer's analytic needs. The candidate we seek will work with team members across multiple internal organizations and customers to develop innovative data-driven solutions. Key Functions Provide expertise in data analytics and algorithm development supporting the integration, analysis and exploitation of diverse data sources with an emphasis on remotely sensed data. Ability to run and adapt existing machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection. Ability to create, develop, evolve, and improve machine learning, data mining, statistical, and predictive analytics algorithms for pattern recognition and anomaly detection on large diverse data sets. Design, develop and advance new methods to extract information from diverse data sources using flexible querying methods, innovative visualization, and data aggregation/integration, data mining and analytical techniques. Ability to understand the physical phenomenologies in the data. Familiarity with data fusion techniques to help develop automated data aggregation applications. Ability to create modular, hierarchical applications that assist in the automation of human activities. Utilize technical knowledge to deliver high-quality support to multiple Federal Government customers including the oversight of other contractors. Qualifications Required Degree from an accredited university in data science, statistics, applied mathematics or computer science. (Degrees in physical science or engineering are also acceptable). A minimum of 7 years experience post Bachelor’s degree. (Time spent obtaining an advanced degree counts toward this). Experience with remote sensing and/or signal processing. Strong desire to gain experience in the application of machine learning, data mining, and statistical algorithms for pattern recognition, anomaly detection, and the development of predictive models. Strong programming skills in at least one of the following languages: Python, R, Matlab, C++, and JAVA are required with Python being the preference. Strong written and oral communication skills. Must be able to work effectively within a diverse team of data scientists, software engineers, and intelligence analysts. This position requires the ability to obtain and maintain a security clearance, which is issued by the U.S. government. U.S. citizenship is required to obtain a security clearance. Strong problem-solving skills. Strong software development skills. Background in signal processing, image science, imagery exploitation, spectral analysis, spatial analysis, and computer vision. Preferred Advanced degree in data science, mathematics, statistics, computer science, physical science or engineering. Experience in Deep Learning. Experience in Natural Language Processing. Knowledge of commercial and open-source statistical software packages. Experience developing data visualizations or visual analytics applications. Experience with a wide range of databases. Current Top Secret clearance with SSBI. Transcript Requirement Transcripts are required for this position.Additional Requisition Details System Job Title: ENGRG SPECIALIST Clearance Requirement: TS/SSBI Access: SCI Polygraph: Counter Intelligence Polygraph Relocation Available: Yes Employment Type: Regular Work Schedule: Full Time Company Statement The Aerospace Corporation has provided independent technical and scientific research, development, and advisory services to national security space programs since 1960. We operate a federally funded research and development center (FFRDC) for the United States Air Force and the National Reconnaissance Office, and support all national security space programs. We also apply more than 50 years of experience with space systems to provide critical solutions to technologically complex systems in such areas as communications, shipping, law enforcement, and cyber, among others. From our inception, our highly skilled technical staff has focused on ensuring the success of every mission and developing the most effective and economic space-related hardware and software in the world. Our greatest asset is the technical expertise of our people. Our state-of-the-art laboratory facilities are staffed by some of the leading scientists in the world. Equal Opportunity Commitment The Aerospace Corporation is an Equal Opportunity/Affirmative Action employer. We believe that a diverse workforce creates an environment in which unique ideas are developed and differing perspectives are valued, producing superior customer solutions. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, gender, gender identity or expression, color, religion, national origin, sexual orientation, protected veteran status, or disability status. You can also review The Equal Employment Opportunity is the Law poster and the supplement, as well as the Pay Transparency Policy Statement.Nearest Major Market: Washington DC Job Segment: Scientific, Database, Engineer, Secret Clearance, Security Clearance, Engineering, Technology, Government" Data Scientist,"South San Francisco, CA 94080",GENENTECH,"The Position Mission As a Data Scientist, you will work closely with multi-disciplinary teams to solve complex data problems enabling PD to transform data into actionable insights. You will partner with IT and business stakeholders to co-create data and analytics enabled solutions that help our teams fulfill our mission: to do now what patients need next. What you’ll be working on Leverage business acumen and technical expertise to drive the quick creation of high-impact Prototypes/PoCs Advanced Data projects including predictive learning, neural networks, machine learning, anomaly detection, predictive analysis, exploratory data analysis and other data science practices Generate insights from data, enabling us to optimize business performance. Solve complex data problems and deliver the insight that helps to define our strategy and enable our organisation to reach our patients faster Collaborate in multidisciplinary agile teams/squads to collect requirements, user specifications, approvals, and verify functionality and usefulness prior to full development of solutions Collaborate with Data Engineers, Architects and Data & Analytics Specialists to build lasting solutions to our data modeling The ideal candidate Passionate about agile software processes, data-driven development, reliability, and experimentation Education in related fields (Computer Science, Computer Engineering, Mathematical Engineering, Information Systems) Knowledge of R or Python and its Data Science libraries Possesses practical experience with experiments (PoCs), machine learning, deep learning, Neural Networks and other areas of data science. Is an independent thinker, able to work autonomously, capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences A communicative person who values building strong relationships with colleagues. This position is not eligible for relocation Who We Are A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work. The next step is yours. To apply today, click on the ""Apply online"" button. Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page . Job Facts JOB FUNCTION Modelling & Simulation COMPANY/DIVISION Pharmaceuticals SCHEDULE Full time JOB TYPE Regular" Principal Data Scientist,"New York, NY 10001 (Chelsea area)",Macy's,"Job Overview:You’ll explore new business opportunities and partner with our most critical lines of business to find new ways to increase customer loyalty, drive sales growth, and improve the customer experience.As part of the Marketing – Data Science Group, the Principal Data Scientist will develop innovative analytical approaches to customer and targeting strategies. The Principal Data Scientist will create practical methods to understand customer health, forecast customer preferences, simulate business outcomes, and optimize major investments. The Data Scientist will work closely with cross functional groups to enhance analytical capabilities, identify new growth opportunities, and develop persuasive interactive visualizations. Perform other duties as assigned.Essential Functions: Answer complex business questions by using appropriate statistical techniques on available data or designing and running experiments to gather data. Adapt standard or develop novel applications of classification, forecasting, simulation, optimization, and summarization techniques. Work closely with cross functional teams to provide thought leadership and encourage best practices for experimental design and data analysis. Create compelling interactive visualizations and presentations to enhance decision making capabilities throughout the company. Regular, dependable attendance and punctuality.Qualifications:Education/Experience: At least five years of industry experience with Master’s or at least two years of industry experience with Ph.D. required in relevant technical field such as Applied Mathematics, Computer Science, Engineering, Physics, or Economics. Experience working with large data sets. Expert knowledge of analytical tools such as SAS, R, Matlab, or STATA and scripting languages such as Python, Perl, or PHP.Communication Skills: Ability to communicate complex quantitative analyses in a clear, precise, and actionable manner. Partner with peers and external groups on technical implementations of data/analytics projects. Experience managing analytical projects and/or resources.Mathematical Skills: Basic math functions such as addition, subtraction, multiplication, division, and analytical skills.Reasoning Ability: Must be able to work independently with minimal supervision and make sound decisions.Physical Demands: This position involves regular walking, standing, sitting for extended periods of time, hearing, and talking. May occasionally involve stooping, kneeling, or crouching. May involve close vision, color vision, depth perception, focus adjustment, and viewing computer monitor for extended periods of time. Involves manual dexterity for using keyboard, mouse, and other office equipment. May involve moving or lifting items under 10 pounds. Other Skills: Strong passion for answering complex business questions using structured problem solving and rigorous data analysis. Curiosity and desire to learn about business needs and strategies from close collaboration with business partners such as the CRM, Marketing Effectiveness, and Customer Analytics teams. Familiarity with visualization tools such as Tableau, Looker or Spotfire. Familiarity with relational databases and SQL.Work Hours: Ability to work a flexible schedule based on department and company needs. This job description is not all inclusive. In addition, Macy's, Inc. reserves the right to amend this job description at any time. Macy’s, Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment." Data Scientist II,"Chicago, IL",Tillable,"Tillable’s goal is to revolutionize the experience of renting farmland. No more newspaper ads, bounced checks, and word of mouth marketing. 40% of US farmland is rented, which creates a $32 billion/year market that is ripe for innovation. Tillable is working to create a comprehensive marketplace that brings together landowners and growers under one platform. From price discovery to signing of leases and automatic payments, Tillable is there to make it easy. We are seeking a Data Scientist to help enable data-driven insights and decision making through quantitative analyses, visualization, and presentation of results for use throughout the organization including Sales, Marketing, Engineering, and Product. What you might be working on:Establishing and maintain a set of internal tools, dashboards, and reports that provide key business insights to stakeholders across the organization. Building a capability to handle data requests in a predictable and efficient manner. Helping to evaluate and establish new sources of data for the Tillable Platform. Responding to data requests from stakeholders across the organization and communicating findings in clear and concise briefs, reports, visualizations, or datasets as appropriate. Diving into a variety of disparate information sources and combine into datasets that can be analyzed to produce the requested results. What you bring:Bachelor’s degree in Computer Science, Engineering, Mathematics or other relevant technical fields. 2+ years of experience in quantitative data analysis. Strong understanding of SQL. Solid understanding and proficiency in Python. Experience generating reports and dashboards in analysis tools such as Looker. Excellent communication skills and ability to collaborate with stakeholders across the organization with varying technical backgrounds. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We require all candidates that receive and accept employment offers to complete a background check before being hired. Benefits - What You’ll Love About Tillable Great Culture Complete Health Benefits Package Unlimited PTO Commuter Benefits 401(k) Health/Fitness Reimbursement Education/Career Advancement Reimbursement" Data Scientist,"El Segundo, CA 90245","MCR, LLC.","THE COMPANY MCR, LLC, is the nation’s premier Integrated Program Management firm. Since 1977, we have delivered groundbreaking cost/schedule analysis, acquisition management and program assessment solutions to help government clients successfully deliver agile and creative programs. MCR’s 400+ professionals provide critical thinking and integrated solutions to customers, enabling them to more rapidly develop complex National Security Space programs. We value integrity, excellence, honesty, service, and trust. It is through these values that we form long-term client partnerships, build expertise, and attract and retain hardworking employees. MCR Space Programs develops full lifecycle solutions for customers by partnering with them to rapidly acquire and field the latest space and command and control technologies. DESCRIPTION OF DUTIES MCR is looking for self-starting Data Scientists who can innovate and accelerate agile, data-driven business solutions across the Space Enterprise. As part of the Atlas X team, you will remove business barriers, increase agility, enhance decision making, and deliver critical business capability to the SMC enterprise. As part of the Atlas X team, you will continuously deliver mission-focused software that people love by: Providing data analytics and business intelligence support, including the use of sophisticated analytics programs or tools. Using data to discover valuable operational insights that would otherwise remain undiscovered within raw and unconnected data sets. Conducting data mining activities to include anomaly detection and focusing on unusual data errors that may require additional validations. Supporting data governance activities to ensure data assets are adequately secured, quality controlled, and managed. Performing data operations activities such as data extractions, data transformations, and data integration into various systems. Supporting various SMC data management activities such as; data architecture, data security, data quality, data operations, data document/content management, data modeling/design, data storage, data integration, and meta-data management. Using data management techniques, data mining methods, statistical analysis, and visualization software to develop insights from the available data that will be shared to the Space and Missile Systems Center. Developing complex statistical analytical models to perform descriptive, diagnostics, predictive, and prescriptive analytics focused on improving data-driven decision making and reducing overall risk exposure. Building, testing, and sustaining interactive dashboards using visual analytics tools. Supporting change management activities such as developing and delivering training for key stakeholders, strategic communication, and related organizational support of analytic activities. BASIC QUALIFICATIONS Bachelor's degree in business, economics, mathematics, or relevant field. At least 5 years’ experience in data analytics, business intelligence, data governance, data mining, data extraction, and modeling. Excellent interpersonal skills to effectively communicate and solve problems MS-Windows and MS-Office applications expertise Minimum of a Secret level Security Clearance US Citizenship is required PREFERRED QUALIFICATIONS Expertise in the following: .Net and SQL Server development Microsoft Business Intelligence Suite and Visual Studio Products Developing datamarts, data cubes, and databases utilizing SQL and other Database Management Systems (DBMS) Developing SharePoint sites, websites, and SQL Server Reporting Portals Experience with Atlassian JIRA and/or Confluence EQUAL OPPORTUNITY EMPLOYER MCR, LLC is an equal opportunity/affirmative action employer. We will consider you for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. For more information about MCR, LLC, career opportunities, please visit www.mcri.com." Analytics Data Scientist,"Dearborn, MI",Ford Motor Company,"Position dutiesRole: Perform analysis and modeling of residual values, auction prices, and market drivers to support Business and Sales Planning Analytics (BSPA) Used Vehicle Valuations team and customers Scope: U.S. Residual Values and Used Vehicle Market Responsibilities: Develop models to quantify the relationship between auction prices and key residual values drivers Support residual value setting by providing detailed and accurate RV recommendations to Ford Credit Risk Quantify and decompose residual value gaps between brands and vehicles Provide data analysis visualization via PowerPoint presentations Apply and integrate latest analytical tools and data sources to more accurately model used vehicle prices Assist in preparing reports and ad-hoc analyses for management and business customers Basic Qualifications: Master’s degree in Statistics, Data Science, or related field of study 2+ year’s experience conducting statistical analysis in a business or academic environment 2+ year’s experience with one or more of the following tools: Data Gathering skills/tools (e.g. SQL, Hadoop, Teradata, SAS, Business Objects, Alteryx, etc.) AND Visualization skills/tools (e.g. QlikView, Tableau, WebFocus, etc.)Preferred Qualifications: 3+ years of Auto industry related work (auto marketing and sales experience a plus) Familiar with various modeling methodologies, including economics, econometrics, statistics, and data mining Experience with Excel and PowerPoint Have excellent time management skills and be able to handle working on multiple projects at the same time Make reasonable judgments and conclusions with limited information and resources Be able to utilize all major modeling techniques as applied to short and long-term volume and price forecasts Ability to quickly convert a real business requirement into a solvable modeling problem, sort out relevant information, and judge the solution against business reality Be aspirational and curious in technical excellence and innovation Have a lifetime learning attitude! Join our team as we create tomorrow! We believe in putting people first, working together, and facing challenges head-on, because we’re Built Ford Tough. We’re one team striving to make people’s lives better while creating value, delivering excellence and ultimately going for the win. Visa sponsorship may be available for this position. Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Data Scientist - ML Integration,"San Francisco, CA",Stitch Fix,"-------------- About the Team -------------- At Stitch Fix, we're transforming the way people find what they love. Our clients want clothes that will help them present their best selves—yet without the burden of search or having to keep up with current trends. Our merchandise is curated from the market and augmented with our own designs to fill in the gaps. Rich data on both sides of this 'market' enables Stitch Fix to be a matchmaker, connecting clients with styles they love (and never would've found on their own). Our business model enables unprecedented data science, not only in recommendation systems, but also in human computation, resource management, inventory management, algorithmic fashion design and many other areas. A core challenge is growing our inventory as fashion changes and evolves, this is where the Style Discovery Team focuses to transform and scale Stitch Fix's visibility into what people will love. We use embeddings, deep learning, good old fashioned counting, and a healthy dose of creativity on how machine learning can be used to find the best merchandise and efficiently integrate new merchandise into the Stitch Fix ecosystem. -------------------- About the Role -------------------- This role is responsible for unlocking business opportunities for Stitch Fix to more efficiently grow merchandise by leveraging in house ML products. On a daily basis, this may involve researching how merchandise is purchased for Stitch Fix or coding customizations to our existing ML products to enable new use cases. This role will involve both a solid understanding of machine learning products from features to evaluation, and the creativity to see how ML can be integrated into Stitch Fix for better buying decisions and more efficient operations. -------------------------------------------------------------------------- You're excited about this opportunity because you will… -------------------------------------------------------------------------- Identify areas of opportunity where ML can provide a strategic advantage in the fashion space. Modify, augment, or connect existing ML products to meet the area of opportunity. Collaborate within a team environment to provide thought leadership around maintainable, flexible systems that can be used to continue to unlock new possibilities for how data can revolutionize fashion. Learn from a wide variety of talented folks who are passionate about ML, AI, and supply chains. --------------------------------------------------- We're excited about you because… --------------------------------------------------- you enjoy thinking about how machine learning and artificial intelligence can be used to improve complex systems that have an impact on people's experiences, business metrics, and environmental impact. you have a solid understanding of how machine learning works and can enhance existing models using a Python based stack by adding features and evaluating ML in different contexts. you have experience working on production applications powered by ML.. ------------------------------------------- Why You'll Love Working at Stitch Fix ------------------------------------------- Each job posting will include the core perks of working at Stitch Fix. Some groups may have additional perks they may include in this section. These are the core perks that will be included in each job description: We are a group of people who are bright, kind and motivated by challenge. You can be your authentic self here, and are empowered to encourage others to do the same! We are a successful, fast-growing company at the forefront of tech and fashion, redefining retail for the next generation We are a technologically and data-driven business We are committed to our clients and connected through our vision of ""Transforming the way people find what they love"" We love solving problems, thinking creatively and trying new things We believe in autonomy & taking initiative We are challenged, developed and have meaningful impact We take what we do seriously. We don't take ourselves seriously We have a smart, experienced leadership team that wants to do it right & is open to new ideas We offer competitive compensation packages and comprehensive health benefits You will be proud to say that you work for Stitch Fix and will know that the work you do brings joy to our clients every day ---------------- About Stitch Fix ---------------- At Stitch Fix, we're about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We're the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience. This novel juxtaposition attracts a highly diverse group of talented people who are both thinkers and doers. All of this results in a simple, powerful offering to our customers and a successful, growing business serving millions of men, women, and kids. We believe we are only scratching the surface on our opportunity, and we're looking for incredible people like you to help us carry on that trend. ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Please review Stitch Fix's Recruiting Privacy Policy here: https://www.stitchfix.com/privacy/usrecruitingprivacy ( https://www.stitchfix.com/privacy/usrecruitingprivacy )" Data Scientist,"Hartford, CT 06152 (Frog Hollow area)",Cigna,"Cigna Global Data & Analytics has an opportunity for a Senior Data Scientist specializing in clinical program evaluation and support. This position will work closely with the Cigna Health Matters Care Management (HMCM) stakeholders to understand their strategy and provide recommendations on making data-driven decisions to meet their objectives. The Senior Data Scientist will be responsible for conducting advanced analytics, research activities, and program evaluations in efforts to improve health outcomes and reduce costs for Cigna customers with case management needs. This position will work both independently and collaboratively within the Customer & Clinical Analytic team, exercising professional judgment and initiative, and accountability for the delivery and reliability of their work. So, you’re interested in becoming the newest member of this team? Great choice! Let’s check some boxes to see if you fit the bill: Perform advanced trend analytics to answer “what happened?” Conduct root cause statistical analyses to answer “why did this happen?” Develop predictive models to answer “what will happen next?” and “who is it likely to happen to?” Mine data to answer “where are the opportunities?” Deploy innovation processes and pilots to answer “how can we get better?” Role Summary: The chosen candidate will have the requisite content knowledge related to evaluating health outcomes, conducting randomized control trials, utilizing statistical modeling techniques (e.g. multivariate regression, propensity score matching, coarsened exact matching), and employing health service research techniques. You will interface across multiple business areas, including, but not limited to clinical, pricing, reporting, product development, operations, and marketing departments as needed. The ideal candidate for this role will be highly motivated, flexible and embrace change. Responsibilities: Extract and analyze large healthcare claims using SAS, SQL, R, Python, Teradata, Hadoop, etc. Identify, analyze and interpret trends or patterns in data sets through descriptive and multivariate statistics Conduct matched case-control studies and/or randomized control trials for determining the effectiveness of health program services and solutions Develop statistical models and methods (including but not limited to regression) that identify and stratify individuals in terms of health risk and/or behavior change Develop actionable insights and recommendations for business leaders Present results and recommendations to non-technical business partners and stakeholders to drive the decision-making process Collaborate with matrix partners to understand project developments, assess impacts to data and analytics Qualifications: Advanced degree in Statistics, Mathematics, Data Science, Biostatistics, or Epidemiology and/or 2-5 years of related data science work experience in healthcare 3 or more years of health insurance related data/analytics experience solving business problems through the application of analytic approaches. Experience with diverse healthcare data preferred, including claims, EHR, demographic, exercise, pharmacy, lab, biometrics, genomic, and text Previous experience conducting program evaluation/outcomes research methods , predictive modeling and data mining is required Experience with statistical software program SAS/SAS EG, R and/or Python is required Statistics experience in : propensity score matching, coarsened exact matching, multivariate regression, etc Comprehension of healthcare data (e.g., ICD-10, claims) and demonstrated understanding of health care and delivery system processes Leadership competencies including the ability to collaborate with others and establish working relationships, communicate effectively across the organization and at different levels, think and act strategically, and influence key leaders with a Strong customer focus and management of stakeholder expectations Ability to successfully navigate and contribute in a highly-matrixed environment Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws. If you require an accommodation based on your physical or mental disability please email: SeeYourself@cigna.com. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response." Data Scientist,"High Point, NC 27265",XPO Logistics,"Logistics done differently. At XPO Logistics, we invest over $450 million in technology every year so that we can continue to develop state-of-the-art solutions for our customers. As the Data Scientist, you will be responsible for developing analytical experiments in a methodical manner and regularly evaluating alternate models to support strategic initiatives and ongoing business processes. You will work with leads, analysts and data producers/consumers to understand requirements, develop technical solutions and ensure the reliability and performance of the data solutions. Become a part of our growing, dynamic team and we'll help you build a career you can be proud of.Pay, benefits and more. We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and the opportunity to participate in a company incentive plan.What you’ll do on a typical day: Develop solutions focused on data science and engineering using machine learning, deep learning algorithms, statistical concepts, data modeling, software development and visualizations Troubleshoot technical issues in existing processes and current development work; solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines Understand and improve shared standard patterns, templates and artifacts for architecture, data science development approaches, data models and new technology adoption and rollout Generalize and share technical approaches and best practices among other developers, and simplify and communicate completed work to broader audiences across the company Help support data consumers to ensure they have reliable access to trusted data What you need to succeed at XPO: At a minimum, you’ll need: Master's degree in Computer Science, MIS, Engineering, Business or related field; or recent college graduates with hands-on, moderately complex internship projects of greater than 6 months 1 year of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geo spatial, finance, econometrics, cloud computing, big data and database management Experience with statistical modeling, data analytics and visualization using R and Python (Numpy, Pandas, Scipy, Plotly and Matplotlib) Significant experience applying one or more of the following analytical methods: regression (preferably mixed models), data classification and reduction (cluster, factor, principle components, decision trees), Bayesian inference or other advanced machine learning techniques Deep understanding of statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods Proven technical database knowledge (Oracle, NoSQL, data modeling) and experience optimizing SQL queries on large data Ability to write SQL fluently, recognize and correct inefficient or error-prone SQL, and perform test-driven validation of SQL queries and their results Proficiency in Microsoft Office and Windows applications; Availability to work periodic 24/7 on-call support as required by the team’s rotation schedule It’d be great if you also have: Data science specialization from Coursera, Udacity, Data Camp, etc. 10 years of hands-on experience in delivering solutions in at least two of the following: data science, data modeling, data integration and business intelligence 5 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geo spatial, finance, econometrics, cloud computing, big data and database management Ability to quickly learn and achieve proficiency in new software applications Be part of something big. XPO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make XPO a great place to work. We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed." Data Scientist,"Mountain View, CA 94041 (Old Mountain View area)",Cape Analytics,"Cape Analytics provides instant property intelligence for buildings across the United States. Cape Analytics enables insurers and other property stakeholders to access valuable property attributes at time of underwriting, with the accuracy and detail that traditionally required an on-site inspection, but with the speed and coverage of property record pre-fill. Founded in 2014, Cape Analytics is backed by leading venture firms and innovative insurers and is comprised of computer vision, data science, and risk analysis experts. About the role: We are looking for a Data Scientist with a scientific approach who has strong expertise in data analysis, statistics, programming, and machine learning to join our Data Science team. You will collaborate with Data Scientists, Computer Vision/Machine Learning Engineers, Data Engineers, and members across Software Engineering, Product, and Sales teams to build robust, scalable machine learning models for identification and annotation of the built world. Additionally, you will develop expertise in ground truth generation, model performance analysis, iterative model development, and unsupervised mapping of the feature space to bring scientific rigor, scalability, and robust performance to our core product offerings. As a data scientist, you will: Develop scientifically rigorous, creative methodologies to continuously improve our machine learning models. Incorporate machine learning and data-driven decisioning into the core of our infrastructure. Contribute to design and automation of model training, model post-processing and evaluation pipelines at scale. Leverage the extensive data generated by Cape in addition to data from external sources to generate structured knowledge about our feature space. Present your results internally and externally; Defend your methodology and incorporate feedback from internal teams as well as customers. Improve model performance by identifying failure modes using supervised and unsupervised learning techniques. Ideate and implement data-driven methodologies to help scale model performance across geographical, climatic, and temporal dimensions. Implement automated solutions for ensuring data quality and delivery. Explore and mine new data sources that will help optimize and validate our models. Link model capabilities to market needs by customizing models, designing and running validation studies. Contribute to peer mentorship, knowledge bases, and skills transfer. Skills / Requirements: Graduate degree and 1-3 years of hands-on industry experience or a PhD. Solid knowledge of statistical techniques, including hypothesis testing, statistical sampling, significance testing, statistical inference, maximum likelihood estimation, and experimental design, among others. Mastery of, supervised and unsupervised algorithms and their implementations, machine learning concepts including regularization, learning curves, optimizing hyperparameters, cross-validation, among others. Advanced knowledge and significant programming experience in Python programming or other scripting language including relevant libraries like numpy, pandas, SciPy, matplotlib. Familiarity with the Linux environment including shell scripting, Git and tools for reproducibility (e.g. virtual environments, Docker ). Demonstrated expertise in building data tools for ETL and data analysis. Experience in building meaningful data visualizations using at least one scripting-based visualization tool such as matplotlib, d3.js or bokeh Nice to haves: Experience designing data schemas and extracting data from SQL and NoSQL databases. Experience with GIS systems. Experience with modern data technologies, e.g. Spark, Tensorflow, Jupyter Notebook, Docker. Experience with cloud computing on AWS or GCP. We believe:Talent is critical, but best when tempered with humilitySelf-motivation leads to the best outcomesOpen, direct communication is a sign of respectTeamwork drives successHaving fun together is an important part of the job ***Cape Analytics is an E-verify participant.***" Data Scientist,"Detroit, MI 48226 (Downtown area)",Petram Data,"Preferred Qualifications Bachelor’s degree in a technical field with 4 years of experience or a master's/Ph.D. with 1 year of experience Experience leading at least one enterprise level data project Experience with at least one data project using Spark (preferably Spark R) Strong problem solving skills and a willingness to roll up one’s sleeves to get the job done Excellent written and verbal communication skills Experience mentoring junior members of a team Familiarity with data governance best practices Experience developing processes for bringing solutions from the design phase to production Desire to learn new tools and contribute to tool evaluation Ability to travel Experience with data architecture and data structure design principles Familiarity with the last mile problem in data science Job Summary The Data Scientist identifies, interprets and analyzes patterns and trends in complex data sets to grow our business and provide our customers with valuable insights and knowledge. They optimize data quality through developing, prototyping and testing predictive algorithms and implementing data collection systems. Uncovering insights in large sets of structured, semi-structured and unstructured transactional and real-time data from multiple sources is critical in this role. Responsibilities Think analytically, problem-solve and have experience researching new areas Work independently Communicate to stakeholders at various levels of analytics knowledge Be proficient with Python (Sklearn, SciPy, NumPy, etc.), R, Spark, Apache Hadoop, AWS and SQL Translate analysis into a data story with actionable insights Who We Are At Petram, we are passionate about our work and committed to greatness. Leveraging our collective genius as a team to innovate for the future, we're looking for people committed to learning who are self-motivated and inspired to solve the big problems our customers bring to us. Revealing insights in data to empower our clients is one side of the coin; inspiring teammates to thrive is the other. Disclaimer This is an outline of the primary responsibilities of this position. As with everything in life, things change. The tasks and responsibilities can be changed, added to, removed, amended, deleted and modified at any time by the leadership group." "Data Scientist, Google Customer Solutions","Redwood City, CA 94063 (Harbor area)",Google,"Minimum qualifications: Master’s degree in a Quantitative field or equivalent practical experience. 3 years of experience applying statistical models and Machine Learning techniques for Sales and Marketing in B2B or B2C settings. Experience mining data with query languages, conducting statistical analysis, and coding using open source packages. Experience with statistical software and database languages. Preferred qualifications: PhD in a quantitative discipline. 4 years of experience as a statistician, computational biologist, bioinformatician, data scientist or similar occupation. Experience developing end-to-end data-driven solutions. Experience launching and managing analytical projects, and collaborating with teams across geographies and functions. Experience articulating business questions and using mathematical techniques to arrive at an answer using available data, and translating results into business recommendations. Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods. About the job As a Quantitative Analyst, you will be responsible for analyzing large data sets and building expert systems that improve our understanding of the Web and improve the performance of our products. This effort includes performing complex statistical analysis on non-routine problems and working with engineers to embed models into production systems. You will manage fast changing business priorities and interface with product managers and engineers. Google Customer Solutions (GCS) works with businesses and ad agencies of all sizes and industries. Within GCS, the Revenue, Strategy and Operations (RSO) organization provides business critical insights using analytics, ensures cross-functional alignment of goals and execution, and helps teams drive strategic partnerships and new initiatives forward. They focus on aligning the highest-level company priorities with effective day-to-day operations, and help evolve early stage ideas into future-growth initiatives. The Data Science team within RSO helps power a significant portion of Google's business by guiding Sales and Marketing activities. The Data Science team develops, delivers and measures impact of machine learning models and predictive analytics solutions at scale. Recent projects include customer acquisition, routing and sustainability predictions. Our team works in close partnership with several internal teams. As a Data Scientist, you will partner with various teams to develop customer-level recommendations and automated solutions, consolidating existing Google technologies and building new ones. You'll also work with others on the team to harness the power of Google’s data with machine learning, to deliver insights at scale that drive both long-term strategy and near-term operations for Marketing and Sales. When our millions of advertisers and publishers are happy, so are we! Our Google Customer Solutions (GCS) team of entrepreneurial, enthusiastic and client-focused members are the ""human face"" of Google, helping entrepreneurs both individually and broadly build their online presence and grow their businesses. We are dedicated to growing the unique needs of advertising companies. Our teams of strategists, analysts, advisers and support specialists collaborate closely to spot and analyze customer needs and trends. In collaboration, we create and implement business plans broadly for all types of businesses. ResponsibilitiesCollect, cleanse, integrate, data-mine and visualize a variety of internal and external data sources to identify opportunities and influence strategy. Understand business challenges, transform problems into mathematical frameworks, and communicate complex findings in a structured and clear manner to a non-technical audience. Navigate ambiguity, solve complex challenges, and operate in a fast-paced team environment. Design, develop, and deliver Predictive and Machine Learning models to drive customer acquisition and pipeline performance. Collaborate globally with Engineering and Product Management teams for the development and scaling of new data signals and analytical solutions to drive efficiency and effectiveness of sales and marketing. At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form." Data Scientist,"Chicago, IL",Maven Wave Partners,"Who We Are! At Maven Wave, we are relentless in hiring the industry’s top talent. Each employee is hand-picked not only for their skills, but for their personality and broad expertise. We are looking for this rare combination of talent that sets us apart in the industry. Maven Wave helps leading companies make the shift to digital and shorten the fuse to innovation. We combine the expertise of top-tier consulting with the agility of a cutting-edge technology firm. This multidisciplinary blend of skills allows us to create unique digital advantages for our clients. Maven Wave’s digital solutions are agile, mobile, rooted in analytics, and built in the cloud. Maven Wave, Google, and YOU: Drive and deliver business results with data-based insights. We are looking for a Data Scientist who will utilize their analytical, statistical, and programming skills to develop data-driven solutions to complex business challenges. Your Life As a Maven: Leverage company data to drive business solutions for enterprise clients using R and Python. Perform data collection for Data Science operations including Machine Learning. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Assess Model accuracy using common metrics (AUC, F1, etc.) and explain the results to client stakeholders. Your Expertise: 3-5 years of experience manipulating data sets and building statistical models. Cloud experience in a major platform, such as AWS, GCP, or Azure. Experience using Data Science languages (R, Python) to manipulate data and draw insights. Knowledge of a variety of Machine Learning and advanced analytical techniques and their real world advantages/drawbacks. Familiarity with the following software/tools: Python, C, Java, Jupyter Notebooks, SQL, ML platforms (H2O, DataRobot), distributed data (Map/Reduce, Hadoop), and visualization (Tableau, qikview) Your X-Factor: Aptitude - You have an innate capacity to transition from project to project without skipping a beat. Communication - You have excellent written and verbal communication skills for coordination across projects and teams. Impact - You are a critical thinker with an emphasis on creativity and innovation. Passion - You have the drive to succeed paired with a continuous hunger to learn. Leadership - You are trusted, empathetic, accountable, and empower others around you. Why We’re Proud To Be Mavens! Google Cloud North America Services Partner of the Year 2019, 2018 #21 Best Workplaces in Chicago, FORTUNE, 2018 Great Place To Work Certification, Great Place to Work, 2017 & 2018 Fast Fifty, Crain's Chicago Business 101 Best and Brightest Companies to Work For, National Association for Business Resources (NABR) Top Google Cloud Partner, Clutch Fastest Growing Consulting Firms in North America (#11, #37), Consulting Magazine Top IT Services Companies, Clutch Google Global Rising Star Partner of the Year Ready to Learn More? Life as a Maven Check out the Apps and Data Team See what Glassdoor has to say Real Customer Stories" Data Scientist,"Saratoga Springs, NY 12866",Humantel,"We are Humantel — a dynamic startup bridging the worlds of data, technology and marketing. Our subscription-based market research platform delivers insights based on the world’s largest ongoing surveys of human emotions, values and attitudes. Big Data tells marketing professionals what consumers do. Our unique brand of human intelligence tells them why. Our business is all about what motivates people. We apply that in the workplace to think and act in ways that support, encourage, and connect you. It takes a flat organization, a creative spirit, and a maverick mindset to create something truly new and innovative together. The Humantel team are global professionals in market research, data science, insights, content creation, and technology. We are united by the belief that human intelligence must be part of every business decision — and there’s a better way to make that happen. The Data Scientist will support our product, sales, leadership and marketing teams with insights gained from analyzing market research data. The Data Scientist is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. ESSENTIAL DUTIES AND RESPONSIBILITIES: Work with stakeholders throughout the organization to identify opportunities for leveraging market research data to drive business solutions Mine and analyze data to drive optimization and improvement of product development, marketing techniques and business strategies Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets that can be replicated across surveys Monitor and closely partner with sample provider to ensure quality of data Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy within data teams. Understand project requirements and translate them into innovative solutions and approaches to data collection that align with the platform specifications Develop and guide protocols in how the data should be tracked and measured for analysis and reporting Identify data risks and implement remedies as required Perform quality audits to ensure data integrity and security, including identifying data collection and technical issues; suggest and follow up with improvements Develop and implement intuitive approaches in order to provide end-users access to select data profiles Review and challenge sampling plan and monitor fielding for quality assurance in partnership with sample provider Implement and maintain internal and third-party analytics platforms as it relates to processing, storage, and broadcasting Provide easy access to select data profiles based on end-user needs Develop and guide protocols in how the data should be tracked and measured for analysis and reporting Manipulate large data sets using database tools/techniques to uncover patterns and trends that will address end-user needs EDUCATION and/or EXPERIENCE: BA or Masters in Statistics, Mathematics, or Computer Science is preferred Experience with attitudinal Market Research data Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Application of advanced statistical techniques and concepts (such as factor analysis, logistic regression, OLS regression, cluster analysis, correspondence analysis, discriminant analysis, segmentation, and structural equation modeling) and experience with applications. Ability to address missing data, run data corrections, use weighting, and calculate measures of reliability and validity JOB QUALIFICATIONS Minimum of 4 years’ experience manipulating data sets and building statistical models Experience in a Market Research Environment Proficiency in Structural Equation Modeling (SEM)" Actuarial Data Scientist I (30925),"Pleasanton, CA 94588",State Compensation Insurance Fund,"***TO BE CONSIDERED FOR THIS POSITION, APPLICANTS SHOULD APPLY USING THEIR CALCAREERS ACCOUNT OR FOLLOW THE DIRECTIONS OUTLINED IN THE JOB POSTING FOUND AT: https://jobs.ca.gov/CalHrPublic/Jobs/JobPosting.aspx?JobControlId=193943 ***Risk is Opportunity…..Our Actuarial Analytics and Reinsurance Unit has one Actuarial Analyst opening in our Pleasanton office. The position will assist Pricing Actuaries in various actuarial analysis and reports which includes but is not limited to:Gathering and compiling data from various sourcesApplying statistical and actuarial methods to data to come up with recommendationsCreating reports and presentations of the results of analysisActing as a liaison to other customers, both internal and externalAs a successful candidate, you must have the following knowledge, skills and abilities:Bachelor’s degree or higher in Actuarial Science, Math, Statistics, Economics or related fieldSuccessful completion of at least one actuarial examExperience with SQL and SAS programming (preferred)Demonstrated proficiency in statistical and computer applications and standard software programs such as Word, Excel, Power PointKnowledge of actuarial science principles and methodsMake complex actuarial and statistical computationsPrepare technical actuarial and statistical reports and correspondenceStrong written and verbal communication skillsAbility to effectively work with and relate with other peopleHigh level of organizational and analytical skills with good attention to detailJob Type: Full-timeSalary: $3,635.00 to $5,629.00 /monthWork authorization:United States (Required)" Data Scientist - Batteries,"Santa Clara Valley, CA 95014",Apple,"Summary Posted: Sep 10, 2019 Role Number:200101632 Do you have a passion for invention and self-challenge? Do you thrive on pushing the limits of what’s considered feasible? As part of our Battery Engineering group, you’ll help craft creative battery solutions that deliver more energy in smaller spaces than ever before. You’ll work across disciplines to transform improved hardware elements into a single, integrated design. Join us, and you’ll help us innovate new battery technologies that continually outperform the previous iterations. By collaborating with other product development groups across Apple, you’ll push the industry boundaries of what batteries can do and improve the product experience for our customers across the world. This position works for Battery/Cell Development team within HW Engineering to identify trends, mine data, and help battery team improve performance. Key Qualifications 3-5 years as data scientist or analyst. Battery Engineering experience desired. Strong working knowledge of Minitab, JMP, Python, or Tableau necessary. Solid competency in statistics and the ability to provide valuable analysis. Working knowledge and experience with big data. Self-starter with entrepreneurial experience and ability to interact with other functions in matrix environment. Proven creativity to go beyond current tools to deliver the best solution to the problem. Familiarity with database modeling and data warehousing principles. Description - Provide insight to problem solving by using engineering skills and all available data. Our issues involve out of box quality, warranty and post warranty failures as well as ETL, stitching and mining up to 40 TB stitched data sets. - Analyze factory, user, and failure data and use engineering understanding mechanisms to resolve battery problems. - Understand end to end nature of Apple DB to organize proper sample size, proper key pull and minimize SQA issues with maximum efficiency - Design, implement, process and interpret data - Automate reporting where possible to make team more efficient Utilize advanced technologies, for modeling enhancements - Work with diverse teams including data scientists, engineers, product managers, and executives - Deliver high quality analytic insights from a very large scale data warehouse - Set up quality reporting system for sharing information - Provide ad-hoc reporting as necessary (sometimes urgent escalation) Education & Experience MS or Ph.D. in Battery Engineering, Data Mining, Machine Learning, Statistics, Operations Research or related field. CSSBB, CQE desired." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Data Scientist and Product Development -Capital Markets,"Boston, MA 02210 (South Boston area)",Fidelity Investments,"Job Description: Data Science & Product Development , Capital Markets Shape the future of electronic trading products through data and quantitative expertise, and improve trading experience with predictive science, machine learning and optimization! The Team Our Systematic Trading and Analytics Platform team develops trading capabilities and provides quantitative expertise to the design of next-generation brokerage products in equity, fixed income and prime market. We build trading infrastructure and create trading algorithms to help clients achieve the best execution. We work with clients to improve their trading strategy, educate them about market structure and trading tools, and provide consultation to help them tackle their unique problems. The Expertise You Have At minimum a Master’s (Ph.D. preferred) degree in Engineering, Computer Science, Applied Mathematics or other relevant quantitative discipline 3+ years of experience in TCA and equity algorithmic strategy development Series 7 and 57 or to be obtained within a time frame set by the business unit The Skills You Bring Your equity market, brokerage business, securities industry rules and regulations knowledge You can analyze large amounts of data through your experience with Python, KDB/Q or Snowflake You build engineering systems that evaluate and optimize trading algorithms, routers and venues You bring leadership and presentation skills to influence product directions with business partners The Value You Deliver Designing and Developing automated systematic trading system Analyzing trading data and developing models to build actionable insights for performance improvement Working closely with internal partners and technology teams to deliver robust, scalable solutions Serving as subject matter authority on assigned product(s) and related market segment Crafting and improving trading algorithms to achieve the best execution for our clients Company Overview At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com Fidelity Investments is an equal opportunity employer. Certifications: Category: Business Analytics and Insights" Data Scientist,"San Francisco, CA",Scaleapi,"As Scale’s first data scientist, you will lead the charge on building our analytical infrastructure and driving insights that lead to step-function improvements in how we operate. We handle millions of tasks for businesses looking to scale their ML development, and we’re looking for a talented data scientist to help us understand it all in the service of building better products. In this role, you will apply statistical models, design and interpret experiments, build mission-critical dashboards, and help structure and order our data in the pursuit of transparency over how we operate and how we can improve. You will: Work closely with product, marketing, business, and ML teams to identify and answer important questions Set up, maintain, and scale our data analytics infrastructure Build critical dashboards that will guide day-to-day operations, planning, and strategic decision-making Iterate on your work and analyses to generate ever-better questions to answer Apply statistical models to identify root causes and predict the future performance of tasks, users, and products Design, run, and analyze experiments Build machine-learning models that power core operations, such as quality assessment and fraud detection Ideally you’d have: 3+ years of industry experience in data science broadly Expert knowledge of a scientific computing language (*e.g. *R, Python) and SQL Strong knowledge of statistics (clustering, regression, etc. ) and experimental design Comfort setting up and using BI tools Experience with ETL tools and building / maintaining a data warehouse Nice to haves: A PhD or MS in a quantitative field About Us: At Scale, our mission is to accelerate the development of Machine Learning and AI applications across multiple markets. Our first product is a suite of APIs that allow AI teams to generate high-quality ground truth data. Our customers include OpenAI, Zoox, Lyft, Pinterest, Airbnb, nuTonomy, and many more Scale is an equal opportunity employer. We aim for every person at Scale to feel like they matter, belong, and can be their authentic selves so they can do their best work. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status." Entry Level Data Scientist,"Bethesda, MD 20817",CACI,"Job Description What You’ll Get to Do: Provide engineering and physical insight into mechanical and marine systems for a data science team Support root cause analysis of ship system under-performance or detected anomalies Apply engineering principles to identify trends and events in complex ship data Develop hypothesis and goals for independent investigations Communicate results through reports and presentations to a non-technical audience You’ll Bring These Qualifications: A Secret clearance is the minimum requirement to begin employment As a requirement of continued employment you will be required to obtain a Secret Clearance Bachelor’s Degree in Marine, Mechanical, or related engineering field Comfortable with Python for data analysis Experience with signal processing or time series analysis Knowledge of numerical and optimization methods These Qualifications Would be Nice to Have: Currently hold an active Secret Security Clearance Knowledge of fluids, aerodynamics, thermodynamics, or structures Experience with parallel or GPU computing Interest in data science, machine learning, or deep learning concepts What We Can Offer You: We’ve been named a Best Place to Work by the Washington Post. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive benefits and learning and development opportunities. We are mission-oriented and ever vigilant in aligning our solutions with the nation’s highest priorities. For over 55 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success. Job Location US-Bethesda-MD-MARYLAND SUBURBAN CACI employs a diverse range of talent to create an environment that fuels innovation and fosters continuous improvement and success. At CACI, you will have the opportunity to make an immediate impact by providing information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers. CACI is proud to provide dynamic careers for employees worldwide. CACI is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities." "Data Scientist, Google Customer Solutions","Redwood City, CA 94063 (Harbor area)",Google,"Minimum qualifications: Master’s degree in a Quantitative field or equivalent practical experience. 3 years of experience applying statistical models and Machine Learning techniques for Sales and Marketing in B2B or B2C settings. Experience mining data with query languages, conducting statistical analysis, and coding using open source packages. Experience with statistical software and database languages. Preferred qualifications: PhD in a quantitative discipline. 4 years of experience as a statistician, computational biologist, bioinformatician, data scientist or similar occupation. Experience developing end-to-end data-driven solutions. Experience launching and managing analytical projects, and collaborating with teams across geographies and functions. Experience articulating business questions and using mathematical techniques to arrive at an answer using available data, and translating results into business recommendations. Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods. About the job As a Quantitative Analyst, you will be responsible for analyzing large data sets and building expert systems that improve our understanding of the Web and improve the performance of our products. This effort includes performing complex statistical analysis on non-routine problems and working with engineers to embed models into production systems. You will manage fast changing business priorities and interface with product managers and engineers. Google Customer Solutions (GCS) works with businesses and ad agencies of all sizes and industries. Within GCS, the Revenue, Strategy and Operations (RSO) organization provides business critical insights using analytics, ensures cross-functional alignment of goals and execution, and helps teams drive strategic partnerships and new initiatives forward. They focus on aligning the highest-level company priorities with effective day-to-day operations, and help evolve early stage ideas into future-growth initiatives. The Data Science team within RSO helps power a significant portion of Google's business by guiding Sales and Marketing activities. The Data Science team develops, delivers and measures impact of machine learning models and predictive analytics solutions at scale. Recent projects include customer acquisition, routing and sustainability predictions. Our team works in close partnership with several internal teams. As a Data Scientist, you will partner with various teams to develop customer-level recommendations and automated solutions, consolidating existing Google technologies and building new ones. You'll also work with others on the team to harness the power of Google’s data with machine learning, to deliver insights at scale that drive both long-term strategy and near-term operations for Marketing and Sales. When our millions of advertisers and publishers are happy, so are we! Our Google Customer Solutions (GCS) team of entrepreneurial, enthusiastic and client-focused members are the ""human face"" of Google, helping entrepreneurs both individually and broadly build their online presence and grow their businesses. We are dedicated to growing the unique needs of advertising companies. Our teams of strategists, analysts, advisers and support specialists collaborate closely to spot and analyze customer needs and trends. In collaboration, we create and implement business plans broadly for all types of businesses. ResponsibilitiesCollect, cleanse, integrate, data-mine and visualize a variety of internal and external data sources to identify opportunities and influence strategy. Understand business challenges, transform problems into mathematical frameworks, and communicate complex findings in a structured and clear manner to a non-technical audience. Navigate ambiguity, solve complex challenges, and operate in a fast-paced team environment. Design, develop, and deliver Predictive and Machine Learning models to drive customer acquisition and pipeline performance. Collaborate globally with Engineering and Product Management teams for the development and scaling of new data signals and analytical solutions to drive efficiency and effectiveness of sales and marketing. At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form." Marketing Data Scientist,"Overland Park, KS 66211",Empower Retirement,"Looking to make a real difference? You belong right here. Come build a rewarding career helping others achieve their financial dream at an organization that values your own long-term success. With your unique talents, you have what it takes to be bold and brilliant in everything you do and reach new heights for a company dedicated to diversity and inclusion, community and you. If you share that belief, this is where you belong. Join our team of nearly 6,000 associates across 40 different locations worldwide and start your future today. This role supports the effort to identify, map and transform data elements from across enterprise data sources to meet the needs of marketing. This role will support the development, build out, testing, and maintenance of a robust marketing data mart. This role will also support the development of campaigns and ongoing production of reporting. The ideal candidate will have a familiarity with basic coding & reporting as well as strong critical thinking & problem solving skills. A Marketing Associate – Data & Reporting Analyst is responsible for a series of data related functions which may include: DUTIES / RESPONSIBILITIES / ESSENTIAL FUNCTIONS: Identify relevant data elements within existing data sources across the enterprise Map data across existing and new data sources Support development of data feeds between databases and applications Analyze data structure and format to determine how best to transform data to meet required needs Develop logic to transform data elements into the required structure and format for marketing use Translate existing coding languages to a universal code base Document data sources, logic and transformations Work with data warehouse, architecture and other IT teams to support ongoing build out of a marketing data mart Identify, access and transform data for analytics and reporting Develop and maintain basic reports and analytics Data validation across multiple databases EDUCATION: Bachelor’s degree in data science, economics, math, computer science or business related field OTHER PREFERRED QUALIFICATIONS: Self-starter able to adapt to changing conditions/requirements Strong critical thinking and problem solving skills Strong database knowledge and skills SQL skills & database experience Working Conditions/Physical Requirements: Normal Office Working Conditions We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status." 2020 PhD University Graduate - Data Scientist - Uber Eats (New York),"New York, NY 10018 (Clinton area)",Uber,"At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together. About the Role Uber Eats Data Scientists help solve the most challenging problems related to Uber's ambitious and rapidly expanding on-demand food delivery business. Come tackle fascinating and difficult problems associated with Uber's three-sided delivery marketplace, including personalized search and recommendation for restaurants and dishes, travel and food preparation time prediction, text mining and natural language processing, demand and supply forecasting, growth and spend optimization, dynamic pricing, dispatch and routing optimization, and many more. To solve these problems, data scientists leverage unique data sources diverse in both geographical and temporal dimensions and in both structured (data from app sessions, trips, etc.) and unstructured (menu descriptions, food photos, support contacts, etc.) forms. What You’ll Need Graduate degree required with PhD preferred (with graduation in fall 2019 - summer 2020) in statistics, math, machine learning, operations research, economics, EECS, etc. Prior research, data science modeling, or engineering experience in the aforementioned domains Familiarity with technical tools for analysis - Python (with Pandas, etc.), R, SQL, etc.; previous software engineering background a plus Research mindset with bias towards action - able to structure a project from idea to experimentation to prototype to implementation Passionate and attentive self-starters, great communicators, amazing follow-through - you have a great work ethic and love the responsibility of being held accountable for the results Bonus Points For Experience with A/B testing About the Team Uber Eats Data Scientists help solve the most challenging problems related to Uber's ambitious and rapidly expanding on-demand food delivery businesses, which currently operates in more than 45 countries globally and is the largest outside of China. These fascinating and difficult problems include personalized search and recommendation for restaurants and dishes, travel and food preparation time prediction, text mining and natural language processing, demand and supply forecasting, growth and spend optimization, dynamic pricing, dispatch and routing optimization, and many more. Below is a list of sub domains in our NYC location: Restaurant (NYC) | The restaurant team aims to increase restaurant selection on Uber Eats while setting up restaurant partners for success. We leverage statistics and machine learning techniques to optimize the experience of restaurants at different life cycles. From onboarding, to menu creation, marketing, and order experience, we empower them with tools to increase demand and maintain a frictionless interaction with the platform. Marketplace - Logistics and Marketplace Intelligence (NYC) | From dispatch and routing optimization to predicting food delivery time, the Logistics and & MI team provides DS solutions to create the best customer experience on all sides of the Eats marketplace in the most efficient way. The team also provides marketplace management solutions using state of the art machine learning techniques and our dispatch simulator." "Data Scientist, Machine Learning","Mountain View, CA 94041",Coursera,"Coursera was founded by two computer science professors at Stanford with a vision of providing life-transforming learning experiences to anyone, anywhere. It is the world’s largest online learning platform for higher education. 200 of the world’s top universities and industry educators partner with Coursera to offer courses, Specializations, and degrees that empower over 48 million learners around the world to achieve their career goals. Over 2,200 companies use the company’s enterprise platform Coursera for Business to transform their talent. Coursera is backed by leading venture capital firms such as Kleiner Perkins Caufield & Byers, New Enterprise Associates, GSV Capital, International Finance Corporation, Laureate Education Inc., and Learn Capital. At Coursera, our Data Science team is helping to build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference. We define, develop, and launch the models and algorithms that power content discovery, personalized learning, and machine-assisted teaching and grading. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality. As a Data Scientist, Machine Learning you will define and build innovative data-powered products to personalize and scale high-quality experiences for 45 million global learners. The ideal candidate possesses strong statistical and software engineering skills, is collaborative and impact-driven, and shares our passion for education. Responsibilities : Developing and implementing machine learning algorithms to recommend the right learning products and content to each learner Optimizing and customizing Coursera’s search algorithms (e.g., personalization, localization) Collaborating with Product Management, Design, and Engineering to build the next generation of content discover Skills : Deep applied Statistics and modeling skills Strong Machine Learning skills Strong programing skills (e.g., in Python) Proficient with SQL and relational databases Masters or PhD in Computer Science, Statistics, Applied Math, Physics, or related technical field preferred 2+ years industry experience preferred Excellent communication and project management skills Familiarity with consumer internet, especially in search and discovery, preferred If this opportunity interests you, you might like these courses on Coursera : Recommender Systems Machine Learning Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org.Please review our CCPA Applicant Notice here." Data Scientist,"Chicago, IL",devwrx,"4-6 years of Data Science is ideal for this particular role. The ideal candidate will have had professional experience with a scripting language (Python, Ruby, etc.), SQL, and have a strong understanding of AI methods." Data Scientist,"Columbus, OH",ROSEN Group,"DESCRIPTION New Challenge: New Team, New Office! Protect Our Environment With Your Algorithms Have you ever thought about pipelines and integrity? Why should pipelines need machine learning? The answer is simple: Pipeline inspections generate a lot of sensor data (e.g. from ultrasonic sensors) which have to be analyzed using state of the art computer vision techniques. Think of it like doing healthcare just for pipelines. Interested? Then learn more about industrial machine learning applications and data analysis for pipeline data in a start-up environment. Be part of a new team. Shape the team and your future. Enjoy working in a multi-cultural and multi-national team. We love Python, C++, Tensorflow, Docker, Kubernetes and want to stay as close as possible to the state of the art tools, research in machine learning, data science and big data. Our ideal team member has a creative mind and natural curiosity when faced with challenging data science tasks. We cherish self-improvement and continuous learning and we offer the possibility to create new data-driven visions for the future using your own methods. We are looking for a new team of: Data Engineers Data Scientist (AI, machine learning) Software Developer IT System Administrator (DevOps) You will be working in an extremely creative environment with a lot of freedom, focused on a joint target with great opportunities to grow internationally. ROSEN is going to extend its Data Analytics Footprint in Columbus, Ohio and you can be part of this groundbreaking journey for our company. Responsibilities: Designing and applying (machine learning) algorithms for extraction of information from data of any kind Designing and improving numeric methods (algorithms) Definition of algorithm test procedures Development of algorithms as minimum viable products focussing on early customer feedback Providing support for integration of algorithms in MVPs (Minimum Viable Products). Providing support for productive implementations of algorithms and MVPs Deriving technical parameters and specifications from measured data Creation and maintenance of related technical documentation Researching, rating and implementing development tools Using open source software concerning signal processing, computer vision and data science Gathering, cleaning, processing and analyzing of big, heterogeneous data sources Participation in identification and usage of technology trends in the areas of high performance computing, NoSQL databases and Big Dat Visit of national and international conferences on a regular basis REQUIREMENTS To become part of the ROSEN family, you stand out through a result-oriented, structured and independent working style. Moreover, you should bring with you: Skills: Extensive knowledge in at least one of the following subjects: numerics, signal & image processing, machine learning, software development Good knowledge in all other subjects, especially in physics Selection of new methods with respect to performance, quality and sustainability Is able to define interfaces Way of working is quality- and test-driven Product knowledge in corresponding technology Experience with data cleaning, data analysis, data science and computer vision Solid knowledge of applied mathematics (linear algebra, optimization, probability theory) Experience with at least one object oriented programming language (e.g. Python, C, C++ or Java) Education: 5 years’ experience in software development Professional, technical improvement introduced OUR OFFER About Rosen-Group: The ROSEN Group in Coumbus, USA acts as a partner in technology development for 20 global subsidiaries. The location supports the entire Group, developing, building and delivering innovative solutions based on client requests." Intern: Machine Learning / Data Science,"Sunnyvale, CA 94089 (Lakewood area)",Juniper Networks,"The mission of the Juniper Digital Experience and Automation (DEA) team (part of the Juniper Customer Success and Support Organization) is to delight external and internal customers by delivering efficient, innovative solutions that are proactive, easy to use and self-service focused. All functions within Customer Success and Support are in DEA scope and includes Customer Support (Technical Support, Customer Care), Professional Services, and Advanced Services functions. DEA is at the heart of the CSS digital strategy. We integrate and build the innovative technologies that enables the CSS business with a focus on business agility and efficiency. Through partnerships with business subject matter experts we identify need, ideate, determine idea value (ROI) and ultimately realize new capabilities. Automation and Big Data Analytics are critical components of that innovation work. The ML/Data Science Analyst will play a significant role in this transformation. A great candidate will be curious, collaborative, and insightful. The candidate will be willing to speak up and identify great opportunities (efficiency, revenue, etc.) for the Customer Success and Support Organization and the company. Responsibilities: As a ML/Data Science Intern you will be responsible for …Achieving data science and software engineering goals set by you and your mentorLearning about Juniper Networks, Inc., both the product and the companyWorking and socializing with the other interns as well as full-timers Minimum Qualifications:Strong interest in state-of-art Machine Learning techniquesEnthusiasm for solving interesting problemsYou enjoy working well with others in a fast-paced environmentYou enjoy working within an agile environmentStrong communication skills, verbal and written Preferred Qualifications:Hands-on experience in Machine Learning techniques, such as logistic regression, naïve Bayes, SVM, decision trees and random forests etc.Solid understanding of statistical modeling/machine learning/ data miningExperience programming in a large software project – at school, professionally, or in an open source context" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Data Scientist,"Framingham, MA 01701",Berg Health,"POSITION SUMMARY: The Data Scientist is a highly motivated and experienced individual who likes to work in a multi-disciplinary team. The Data Scientist will be instrumental in the analysis and interpretation of high-throughput molecular data. Additionally, the individual in this role should have solid Data Sciences background and be strongly goal-oriented with a focus on real-world impact. ESSENTIAL DUTIES AND RESPONSIBILITIES: Statistical and bioinformatics analyses of high-throughput molecular data Interaction with internal and external collaborators to understand, design and develop the requested solutions Development and execution of data analysis protocols to support company's discovery pipeline Presentation of scientific results internally and externally Preparation and submission of scientific manuscripts for review and publication Other duties as assigned REQUIREMENTS: Requires a PhD in Bioinformatics, Statistics, Applied Math, Computer Sciences or related field with a 0-3 years of experience; or a MS with 5-7 years of industry experience Proficiency in R is required. Experience in Bioconductor is preferred Experience in Linux and Big Data technologies Experience in Scala, C, Python and MySQL is a plus Experience in working with NGS is a plus Proven ability to find creative and practical solutions to complex problems Proven experience in applying Data Science methodologies to extract, process and transform data from multiple sources Proven ability to deliver outputs in a comprehensive format that highlights major trends, avoid miss-interpretations and value the conclusions Proven ability to demonstrate attention to detail and record keeping Quick learner, extremely flexible and adaptable to the needs of internal collaborators in a dynamic environment Ability to efficiently work in multiple projects Excellent communication and interpersonal skills Must be able to work in a team-oriented environment" Data Scientist,"Broomfield, CO 80021",SpotX,"Join SpotX as a Data Scientist. SpotX, an RTL Group company, is the leading video advertising platform unifying TV and digital video globally.How you'll make an immediate impact: Perform ad-hoc analyses and reporting for Operations and Engineering (HDFS, Spark, Kafka, Druid) Build mathematical, machine learning, and statistical models to discover actionable insights Develop proof-of-concept solutions for advanced reporting or automated decision-making Monitor, tune, and extend existing Data Science solutions/products Be a resource for the Data Analysis team for advanced reporting needs Retrieve, clean, transform and overlay 3rd-party data What we're looking for: Strong knowledge in Python and/or Scala as well as SQL Solid understanding of predictive analytics, statistical modeling, and data-mining (theory, algorithms, and application) Knowledge and experience: Regression, Random Forests, Support Vector Machines, Bagging, Boosting, Decision Trees, Clustering, Optimization, Stochastic Processes A track record of providing compelling insights based on data Able to make intelligent approximations and design effective, practical, and scalable mathematical models Able to identify assumptions and the limitations of models/algorithms and the impact on reporting and decision-making Exceptional organizational skills, attention to detail, and ability to maintain focus in a fast-paced environment Ability to communicate effectively in writing and verbally Experience with Spark and ""Big-Data"" is desirable When you join our team, we offer: A fast-paced, innovative company building best-in-class technology from 12 offices around the world A fun, casual, and collaborative culture with a commitment to work-life balance Unlimited PTO (work it out with your team first!), company closed from Christmas to New Years Comprehensive Benefits Package includes Medical, Dental, Vision, 401k matching program and education assistance Free breakfast Fridays, fully stocked snack wall, gym reimbursement, charitable donation matching program SpotX Core Values: Customer Service, Integrity, Respect, Initiative, Collaboration, Innovation and AdaptabilityVisit our About Us page to learn more." Data Scientist & Advisor,"Boston, MA",Wipro Limited,"WD Insights Data Scientists help our clients discover the information hidden in vast amounts of data, and help them to make smarter decisions to deliver better products and services. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems. You will also be working extensively in data-centric digital storytelling and data visualization, helping information come to life for clients seeking to unlock its full potential value Responsibilities Building and optimizing machine learning algorithms Data mining using state-of-the-art methods, Extending company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing in-depth analysis and presenting results in a clear manner Visualizing data, extracting the key digital business 'storylines,' and consultatively developing projects for WD Skills and Qualifications Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc . Excellence in at least one of these is highly desirable Great communication skills Experience with data visualization tools, such as D3.js, GGplot, etc. Proficiency in using query languages such as SQL, Hive, Pig Experience with NoSQL databases, such as MongoDB, Cassandra, HBase Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills Data-oriented personality with solid client-facing consultative skills" Data Scientist,"Jacksonville, FL",Florida Blue,"Job Summary Data Scientists produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, data modeling, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries. Use a flexible, analytical approach to design, develop, and evaluate predictive models. Generate and test hypotheses. The Data Scientist proactively seeks to develop their skillsets and provide value-added support within the Data Science team. Essential Functions The essential functions listed represent the major duties of this role, additional duties may be assigned. Communication & Project OwnershipSupport large projects, and manage smaller projects in their entirety Partner with senior team members to assess customer needs and define business questions. Emerging ability to influence customers to take action on analytical insights.Communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience.Identify and communicate roadblocks. Work on multiple concurrent projects and accommodate frequent interruptions and changing prioritiesEffectively participate in meetings with customers and emerging ability to guide discussion and decision making. (60%) Data AnalysisAcquire and bring structure to data so that it can be used in existing and new data systems.Build tools that help you and the other Data Scientists translate insights into action at scale.Identify, define and translate business needs/problems into analytical questions. Design and execute experiments, models, algorithms, and visualizationsUnderstand data sources and limitations, warehousing system and the impact of the data on business decisions.Identify, retrieve, and manipulate data from internal and external datasets.Apply statistical and computational methodologies to provide actionable insights and identify opportunities that optimize quality, consumer experience, and healthcare costs.Develop scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation. (30%) Reporting & OtherContribute to technical reports, white papers, and publications.Stay current on new processes and technology in Data Science and communicate findings to teamPerform all other tasks as assigned (10%)Required Work Experience 2+ years related work experience or equivalent combination of transferable experience and education. Experience Details: Advanced analytics or similar roleRequired Education Related Bachelor’s degree or additional related equivalent work experience Data Science, Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specializationAdditional Required Qualifications Requires experience with Object oriented programming such as Python or Java. and statistical packages – 3 years of SAS, SAS EG, and SAS EM, 1 yr of R or Python. Requires expert proficiency in SQL Requires experience with visual analytical packages such as Tableau or Microsoft Power BI Strong analytical and problem solving skills Experience in supporting large projects, and manage smaller projects in their entirety Ability to partner with senior team members to assess customer needs and define business questions. Emerging ability to influence customers to take action on analytical insights. Ability to communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience. Must have applied experience with advanced analytics e.g. predictive analytics models Must have applied experience in Machine Learning Preferred Education Master’s degree Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specializationAdditional Preferred Qualifications Experience in Big Data - e.g. Hadoop Business Intelligence tool development Other programming experience - Java, Perl, Python, UNIX/Linux scripting Healthcare, medical, or pharmaceutical work experience Experience with analysis around quality, consumer experience, and healthcare costs Experience in consumer analytics Experience in business analytics We are an Equal Opportunity Employer/Protected Veteran/Disabled." Data Scientist - SOCOM,"Tampa, FL",Barbaricum,"Data Scientist - SOCOM Tampa, FL Cyber / Intelligence Contract Apply for this job Barbaricum supports government clients with Integrated Communications, Mission Support, and Cyber Security/Intelligence. Our passion is innovation and we are committed to client value and effective technical solutions. We are an ISO 9001:2015-certified and CMMI Level 3 appraised, Service-Disabled Veteran-Owned Small Business (SDVOSB) located in Washington, DC. Our mission is to transform the ways the U.S. Government approaches problem sets of increasing complexity by delivering innovative solutions, particularly in support of National Security missions. Barbaricum is one of the fastest-growing companies in our market. The company is routinely recognized by institutions like Inc. Magazine, GovCon, AMEC, PRSA, and SmartCEO for corporate growth, capabilities, and award-winning client work. Our team is dynamic and agile, providing global support to current missions across five continents. We are also focused on developing and maintaining our vibrant corporate culture, having been recently named a Best Workplace for 2017 by Inc. Magazine.Barbaricum is seeking Data Scientists to provide support to a US Special Operations Command (USSOCOM) customer to integrate as part of a team that will provide advanced analytical knowledge of data, with a focus on conducting big data analysis, data conditioning, programming advanced computing, developing algorithms, developing software and data models, executing predictive analytics and utilizing visualization tools. This team will provide support to the J2 and J8 Directorates. Responsibilities Formulate and lead guided, multifaceted analytic studies against large volumes of data. Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method. Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges. Lead all data experiments tasked by the DST Team OIC Coordinate with Data Engineers to build Data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intelligence Analysts. Qualifications Active DoD TS/SCI clearance required Master's degree or Bachelor’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. Proficient with one or more programming languages (Java, C++, Python, R, etc.). Demonstrated experience applying data science methods to real-world data problems.Additional Information For more information about Barbaricum, please visit our website at www.barbaricum.com. We will contact candidates directly to schedule interviews. No phone calls please." Data Scientist,"Austin, TX",Jungle Scout,"Did you know that Jungle Scout collects and processes over 20TB of data every day? Are you interested in leveraging this data to create new customer-facing data products? Are you ready to help put these products in front of customers in weeks, not months? Does that get you absolutely pumped? Amazing, then you're the type of person we're looking for! At Jungle Scout, we are on a mission to empower entrepreneurs to be successful Amazon sellers. We work hard, keep it real and do it all for our customers by providing industry-leading products, education, and content. Where would this person be located? Great question! We have offices in Austin, TX, Vancouver, BC and Shenzhen, China now (yay!). So if you are located in Vancouver or Austin - we would love to have you join our office! Jungle Scout started remotely and we try to hire remotely when we can. We are open to hiring the right candidate remote in British Columbia, Canada or Texas as well. Interested in helping us innovate and build industry-leading data-driven products for our customers? Let's get into the details: What you'll do: Work with stakeholders throughout the company to source opportunities for creating data-driven products Regularly present and communicate insights to stakeholders Extract mission-critical insights from datasets Create scalable models that drive business decisions and enable our customers' success Develop tools to monitor models for evolving performance and accuracy If your answer is ""heck yeah!"", please read on…. Who you are: Masters (Ph.D preferred) or an extensive background in analytical work 2+ years of experience working in a data science role outside of academia Familiarity with writing high-quality Python code Exposure to machine learning tools and frameworks such as, but not limited to Pandas, scikit-learn, NumPy and SciPy Experience solving nebulous problems using a systematic, analytical approach Strong command of SQL and working with multiple relational databases and data warehouses (Redshift, Snowflake, Postgres, MySQL, etc…) Ability to be scrappy with extracting useful insights with partial data Ability to apply modeling techniques and machine learning methods (Bayesian statistics, OLS regression, GLMs, logistic regression, network analysis, clustering, decision trees/random forest, dimensionality reduction, neural networks, etc...) Able to communicate insights through visualizations using libraries such as matplotlib, seaborn, plotly, etc… Approach problems with a customer-centric lens Bonus points: Some experience with analyzing time-series data Familiarity with analyzing big datasets using tools such as Apache Spark Some experience with R and related machine learning libraries Additional experience with deep learning frameworks such as TensorFlow and PyTorch Experience with accessing data from other datastores in the AWS ecosystem such as ElasticSearch, S3, and DynamoDB Exposure to working with software development teams and using tools such as Git, GitHub, and Zenhub Who we are: Jungle Scout is the leading all-in-one tool for selling on Amazon, with the mission of providing powerful data and insights to help entrepreneurs and brands grow successful Amazon businesses. The Jungle Scout team is a group of smart, motivated, and fun-loving professionals working hard to help our customers achieve success. We have 125+ team members around the world, including in our headquarters in Austin, TX, and offices in Vancouver, BC and Shenzhen, China We offer competitive compensation packages, 401K/RRSP matching, generous vacation, coworking benefits, and professional development to help you thrive in your career. The entire Jungle Scout team also gathers for annual all-expenses-paid retreats — past locations have included Bali, Bangkok, Vietnam, Budapest, Mexico, Colombia, and Costa Rica. Check us out! XwxrbClk2z" Data Scientist,"Boston, MA",BlueConic,"Full-time, Boston, MA Hurry up! We’ve got a dream to build! BlueConic is a fast-growing SaaS startup in search of that unique individual who blends a customer service attitude with technical problem solving. If the idea of leading BlueConic’s data science practice based on our cutting-edge technology, you’re going to be a great fit for this role. The team you will join is changing digital marketing every single day – and we’ve got the data to prove it! After introducing the market-leading AI Workbench as part of the BlueConic customer data platform, customer demand for data science is exploding and we need an experienced, hands-on, solutions-focused person to help build the burgeoning data science practice. About BlueConic BlueConic is the market-leading customer data platform, which gives marketers the power to liberate their data and use it to improve marketing outcomes. Our clients use BlueConic to unify individual-level data and then use that single view across channels. Our SaaS platform is the solution for challenges marketers haven’t been able to solve for years. We’re headquartered in Boston and our development team works in the Netherlands. With nearly 300 brands using the platform, our work is experienced by millions. About the Job BlueConic’s machine learning feature set – primarily the Jupyter-based AI Workbench, as well as the Apache Spark-based recommendations engine – is waiting for skilled and creative data scientists to join the BlueCrew in order to help our customers better unify and activate their first-party customer data. A versatile, curious person, you will have a dual function that allows you to both build additional ML capabilities for the platform, while also delivering specific customer models as needed. In short, your work will be essential in differentiating BlueConic’s solution today – and driving us toward further leadership in the CDP category. In this role you will: Provide customer engagements and technical sales support as needed and collaborate with Solutions Architects on customer data integrations, customer specific models, and complex implementations. Partner with Customer Success Managers to inspire customers to use machine learning to get more from their data, including building and optimizing models, as well as using Workbench to transform, analyze, and visualize data. Work closely with the Product Engineering teams as well as our Solutions Teams to actively develop and provide strategic direction for the data science capabilities in the platform. Scope, design, and implement machine-learning models to support the customers’ numerous initiatives and programs with data science, including vertical-specific and marketing-specific models that reinforce BlueConic’s differentiation as a leader in the CDP space. Build predictive models with advanced machine learning algorithms. Innovate relentlessly by building new models; improving techniques to boost model performance; and maintaining and refining the processes and procedures for building high-end analytic modeling solutions. You have: A Master's degree in a Quantitative Field (e.g. Physics, Math, Statistics, Operations Research, Engineering, Computer Science, etc.); applied knowledge/experience in the application of statistics preferred. Fluency in Python and its associated data science ecosystem (numpy, pandas, scikit-learn, etc.) At least 5 years’ experience applying relevant machine learning and data modelling techniques to provide customer/consumer insights, ideally in B2C industries including retail, finance, media, etc. (SAS, R, and other statistical languages ideal but not required.) An exceptional ability to interpret business requirements, translate into data science problems, and deliver high value outputs. A knack for communication that enables you to work well with people with various technical backgrounds, think analytically, write and edit technical material, and relate statistical concepts and applications to statistical and non-statistical SAS users. You will be a great fit if you: You would be a great fit if you are enthusiastic about one or more of the following: Online / out-of-core algorithms Uplift modelling Bayesian statistics Have worked in both technology and end-user client environments during your career. Intimately understand the business challenges that our technology is suited to solve. Are friendly and ready to work with others, both technical and non-technical. We don’t work in isolation and regularly interact with each other and members of other teams. Reasons to join us: Help build the best marketing technology product ever, period. Be part of a small but fast-growing team in downtown Boston. Take advantage of enormous opportunities for career advancement. Work with big name brands to achieve their marketing goals. Enjoy competitive salary and benefits, including the office stroopwafel supply (google it)." Data Scientist,"San Jose, CA",Jabil Circuit,"At Jabil, we empower the brands who empower the world – it’s our reason for being and the guiding force that’s driving us to become the most technologically advanced manufacturing solutions provider on the planet. Whether we’re serving one of the world’s biggest and best known brands or the coolest tech startups, our resolve never wavers. We share common desires with these brands: to make the world a better, safer and cleaner place. JOB QUALIFICATIONS KNOWLEDGE REQUIREMENTSAdvanced Statistics, operations research/ management, mathematics or business analytics with experience, courses, or project work in an analytic methods such as linear, mixed linear, constraint programming, modeling, simulation, time series analysis, pattern recognition, queuing theory, multivariate analysis, and other various predictive analytics techniques Strong written and verbal communication skills and the ability to work effectively in teams and under pressure. Multi-lingual capability is a plus. Ability to draw conclusions from data and prescribe actionable and measurable activities. Highly motivated and creative, thinking “out of the box”. Familiarity with non-relational data frameworks (aka NoSQL, eg. Hive). Experience with Apache Pig, Spark systems. Strong team mentality, interpersonal and communications skills Preferred working directly with management and executives Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identify, age, disability, genetic information, veteran status, or any other characteristic protected by law." Data Scientist / Quantitative Researcher – High Frequency Futures,"Chicago, IL 60604 (The Loop area)",Wolverine Trading,"We are looking for highly skilled and experienced individuals to join a research effort focused on generating high frequency trading alphas in the futures markets. The ideal candidate has direct experience in the alpha research process and understands the workflow from idea generation to production implementation. This opportunity will provide the right candidate the chance to have a large impact on the direction and productivity of a newly formed effort within a successful proprietary trading firm. Responsibilities Conduct financial data analysis on large datasets to generate profitable trading alphas. Define key metrics for model validation. Back testing and production performance monitoring. Contribute to in-house data analysis packages and research framework development. Acquisition of new data sets and cleaning/maintenance of new and existing data sets.Requirements At least 2+ years of experience generating or implementing short-term trading alphas into production trading strategies. Advanced knowledge of modern statistical and machine learning techniques. Proficiency in a scripting language such as Python, R, or MATLAB. Proficiency in at least one statistical package and one machine learning package in one of the above languages. Demonstrated experience working with tick data. Degree in a quantitative discipline such as Statistics, Computer Science, Mathematics, Engineering, etc. Experience developing software systems an in object oriented language is a plus.About Wolverine Founded in 1994, the Wolverine companies comprise a number of diversified financial institutions specializing in proprietary trading, asset management, order execution services, and technology solutions. We are recognized as a market leader in derivatives valuation, trading, and value-added order execution across global equity, options, and futures markets. With a focus on innovation, achievement, and integrity, we take pride in serving the interests of both our clients and colleagues. The Wolverine companies are headquartered in Chicago with offices in New York and San Francisco and a proprietary trading affiliate office located in London. Sponsorship is not available for this position. Are you a returning applicant? Previous Applicants: Email: Password: If you do not remember your password click here." Data Scientist,"Santa Clara, CA 95054",Gigamon,"Gigamon Services is a world-class organization with exceptional customer satisfaction and Net Promoter Score – we are seeking a Data Scientist to join Gigamon Services. Gigamon is the leader in network visibility. At Gigamon, we believe a mix of data, analytics, automation and responsible AI can do almost anything. The Global Services Data Scientist will be responsible for delivering the analytics that ensure the continued growth and success of Gigamon’s Services business. You will be able to understand the needs of your key business stakeholders, analyze Gigamon’s myriad data repositories, and solve business problems through critical thinking. Through strong data visualization and presentations, deliver findings of analysis and patterns and explain complex statistical concepts to a non-technical audience. Influence to drive operational actions based on results from the models. As a member of the Service Operations Data Science Team, you will apply operations research and statistical methods to enumerate the solve challenges related to customer behavior, new purchases and renewals trend, understanding network design and more based on Gigamon products and platform. Your initial focus will be on implementing the measures of success for our Global Customer and Partner Success initiatives. Through your efforts, we will be able to deliver value recognition to our customers and partners. We will also be able to demonstrate the positive impact Customer Success has on expansion and retention of our revenue streams. You will create better ways of looking at data to move us to the next level. You are not afraid to break glass. Responsibilities Design, develop data science projects with hands on analysis, modeling and drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for business challenges. Develop a customer lifetime value model relative to Services and Customer Success initiatives and a value of Services model Solve complex customer success, technical support, supply chain and operations challenges using analytical algorithms and AI. Using analytical rigor, statistical methods and predictive modeling you mine through data to increase and optimize customer experience, service opportunities, increase revenue, and other business outcomes. Engage broadly with organization to identify, prioritize, frame and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact. Identify and communicate the challenges and opportunities that the group should be working on. Articulate the business questions and use mathematical techniques to arrive at an answer using data. Translate analysis results into business recommendations. Design, build and deploy predictive and prescriptive models using statistical modeling, machine learning and optimization. Develop company A/B testing framework and test model quality. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Qualifications and Experience BS, MS or PhD degree in a quantitative discipline (applied mathematics, statistics, computer science, operations research, or related field). 3-5 years of relevant work experience (e.g., as a data scientist) or equivalent. Analytical engagements outside class work while at school can be included. Experience working with large data sets and analysis in distributed computing environment a plus (Map/Reduce, Hadoop, Scala) Application development and ETL experience (database creation, optimization, data feed productionization etc.). Skilled in explaining complex analytical concepts to non-experts and insistence on ensuring results are comprehended correctly and acted upon. Ability to accurately translate business requirements into technical design specifications. Extensive background in data mining, statistical analysis, designing and building statistical forecasting models. Experience designing and building machine learning models/techniques The ideal candidate has strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. Able to understand various data structures and common methods in data transformation Proven success in delivering complex technology solutions. Able to multi-task and perform well under pressure. Able to make wise tradeoffs in design approach and scope to meet aggressive deadlines. You must thrive in an environment of autonomy amidst ambiguity. You have excellent communication, relationship skills and a demonstrated strong team player. Experience with data modeling, building data warehouses and other ETL processes. Strong experience with BI tools like OBI, Power BI, or Microstrategy. Familiarity with Big Data - Hadoop, Hive, Spark etc. Familiarity with JQuery, Data Driven Documents (D3.js) for data visualization is a big plus Excellent customer service and collaboration skills." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Data Scientist,"San Diego, CA",Veyo Logistics,"Veyo is using its platform and app-based transportation services to reinvent the medical logistics world. Our company is using technology to pioneer new operational models to help make transportation more powerful and more reliable for the healthcare industry. When you work at Veyo, you’re helping to solve one of the nation’s growing healthcare challenges - ensuring patients get to and from their medical appointments, safely and on-time. We are using smart design and innovative technology to make patient transportation safer and more connected. In the process, we’re transforming the entire industry. We’re looking for smart, fun-loving people to join our team, and are currently in search for a Data Engineer to join our team in sunny San Diego. Read on, and if you think you’d be a good fit, please send us a resume. What you can expect: Use technology to help people lead healthier lives Work with an incredibly talented, intelligent team Ability to try out new technologies to gauge fit for business needs Encouragement to grow professionally and personally – attend conferences, give knowledge sharing presentations, pick your career path What we’ll expect from you: Be committed to the health and safety of our passengers Help shape the strategy and direction of the company and an industry Solve algorithmic problems in the logistics, healthcare and operations space through research, experiments and development and support deployment of these solutions into a real world environment Entrepreneurial. Everywhere you go, you can’t help but mobilize people, build things, solve problems, roll up your sleeves, go above and beyond, raise the bar. You are an insatiable doer and driver Ability to effectively collaborate with and communicate complex concepts to both technical and non-technical audiences at all levels, from C-Level to individual contributors. Understand the latest industrial and academic developments in AI/ML, and apply it to create prototypes for demonstration Work with development teams to mature these algorithms into production quality programs Do applied research on a wide array of Operations research and machine learning projects. Required Skills: Advanced degree in Statistics, Applied Mathematics, Operations Research, Computer Science, or a related quantitative field. 5+ years of experience crafting advanced models and familiar with statistical methods applied to large data sets Proven experience with optimization libraries, scripting languages (Python, R, etc.), SQL and statistical tools, major object-oriented programming languages, and simulation software Familiar with the Microsoft stack C#, .Net 4.5 is a plus Familiarity with GoLang is a plus We like the following personality traits: Friendly, social, outgoing, positive, passionate, cool under pressure, detail-oriented, deadline oriented, quick learner, multi-tasker, great sense of humor. We’re looking for people that love the opportunity to be involved in strategy and management at the top level, but also aren’t scared to get their hands dirty and do what needs to be done to make things happen! We move quickly, and our team doesn’t know the meaning of “not my job.” We want people that want to get things done and can check their ego at the door. We thank all applicants for their interest and effort in applying for this position. This position is only for candidates legally allowed to work in the US. EOE. Veyo is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Additionally, Veyo participates in the E-Verify program for all locations." Product Data Scientist - Ads Data Science,"San Francisco, CA 94103 (South of Market area)",Twitter,"Who We Are The team is responsible for placing each and every ad that Twitter serves. While placing those ads we decide how best to balance user experience, advertiser results, and Twitter revenue. Our team optimizes supply/demand, operation points and trade-offs for the ads marketplace, as well as improve product outcomes by applying data science. We routinely deliver significant improvements to our revenue, and work in a close sync with our executive staff (including our COO & CFO) due to our direct impact on Twitter’s business. What You’ll Do We’re looking for a key individual contributor to drive our advertising products forward. We decide which ads to serve billions of times a day under a sub-second setting. You will ship new features and optimize existing products. You will perform rigorous analysis, understand our advertising products, experiment, make data-driven decisions, optimize for impact, and measure performance funnels. Your team will empower you with the autonomy to make good product decisions and discover/understand the software and product stack. You’ll own significant projects end-to-end. The small teams of talented, passionate people in which you’ll work will include engineers and data scientists from across the revenue engineering organization. We work on every high-priority ads project at Twitter. Who You Are You’re a data scientist with a track record of delivering results. You find satisfaction in shipping changes that deliver measurable impact in the form of immediate revenue. You apply machine learning and data science techniques when applicable, but are just as happy to implement a simple heuristic when you find it’s as effective at driving impact to your product. You’re looking to join a strong, high-performing team. Sample Projects We build new ways for advertisers to buy ads on Twitter, such as paying up front for guaranteed results We design incrementality studies to measure the lift in brand awareness that our advertising campaigns drive We dive into individual products (e.g. video ads) to improve results for our most critical business priorities We evaluate the impact of ads on new Twitter users, determining how to show them ads in order to maximize their long-term usage of the product We are responsible for measuring the results of all experiments on Twitter adsRequirements Experience using data intelligently to optimize product performance Experience performing analysis on raw event data in modern data warehouse systems Deep understanding of data platforms in which you’ve previously worked Good understanding of how to grow and shape data tools and datasets to improve data-driven decision making Ability to thrive in an unstructured environment, working autonomously on a strong team to find opportunity and deliver business impact Good understanding of (one or more of the following): Python or R Bonus Points Past experience in adtech PhD or MS in computer science, machine learning, or statistics Good understanding of (one or more of the following): Java, Scala, or C++ Interesting side projects or Kaggle competition results We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records." Data Scientist - Operations Research,"Tempe, AZ 85281",Carvana,"ABOUT CARVANA... At Carvana, we sell cars, but we're not salespeople. We saw a huge problem with how much it can suck to buy a car the traditional way. To fix that, we committed ourselves to tackling one of the largest, yet-to-be-disrupted markets in the world – the $1T per year U.S. car market (yes, that's $Trillion with a ""T""). We provide a seamless, online car buying experience for consumers from A-to-Z. From acquiring, inspecting and certifying high quality cars, to providing 360° high-resolution photography inside and outside of the vehicle, to generating real-time financing and warranty options, to providing consumers with the option to have cars delivered to their driveway in as little as 24 hours or pick-up from one of our state-of-the-art Car Vending Machines (yes, you read that right) all with a 7-day Money Back Guarantee, we've made it our mission to redefine the car buying status quo. With no dealerships or commissioned salespeople, we also save thousands of dollars per car in expenses that we pass on to our customers. Recently named Forbes' 5th Most Promising Company in the U.S., we offer the excitement, culture, and opportunity of a start-up, with the capitalization and infrastructure of a much more established business. For more information on Carvana, take a look at our company introduction video. ( https://www.youtube.com/watch?v=c5dpBRp0-_w ) WORKING AT CARVANA YOU WILL NOTICE THAT... You'll need to be a great communicator, a brand ambassador and possess the know how to get the job done. We expect bright people, willing to roll up their sleeves, take on new assignments and juggle many things at once. In return for your hard work, you'll have an opportunity to work at one of the fastest growing and creative technology companies around, as well as help us promote a life-changing product and develop a world-class team every day. In our downtime, we have ping pong and corn hole (or ""bags,"" depending on where you're from) tournaments. However, the pace is pretty quick around here, so you'll need to be prepared to keep up. There are Wacky Pants Wednesdays…you'll have to come correct here to compete with our CEO Ernie. JOB DESCRIPTION We're looking for data scientists/engineers with a passion for tackling big problems. As a member of our decision support systems team, you will help drive projects that inform decisions across all areas of our business. You will help us develop end-to-end algorithms and systems that affect Carvana's day-to-day operations. Most importantly, you will be able to see how your work has an immediate, tangible impact on everyday operations in a well-funded and rapidly growing company. RESPONSIBILITIES:Develop and/or enhance optimization algorithms, models and systems for Carvana's last mile delivery scheduling processes where we have single and 2 car haulers doing customer deliveries and pickups Utilizing our nationwide transportation network of 9 car haulers efficiently Develop predictive models to be used in efficient delivery date/time assignment of customer purchases Develop Python code for integrating optimization and analytics algorithms/ models to other systems such as Inventory Management Systems, Carvana Website, Transportation Management Systems Develop analytical and simulation models to evaluate different strategies in our nationwide and last mile logistics networks Create reporting tools/systems for monitoring the performance of above models/systems REQUIRED SKILLS AND EXPERIENCE:Bachelor's of Science in Industrial Engineering, Applied Math, Computer Science, Statistics, or Engineering. Graduate degree focused on optimization in one of these fields heavily preferred. Up to 2 years of experience in optimization/operations research projects, either academic or industrial Ability to demonstrate strong analytical and problem-solving skills with real-life datasets, and be able to abstract mathematical models from real-life problems Strong coding skills in Python with experience in delivering production-ready code Fluency in SQL development A solid understanding of statistics Ability to prioritize and manage projects to completion without guidance Strong communication skills WHAT YOU CAN EXPECT IN RETURN Full-Time Salary Position Medical, Dental and Vision benefits 401K with company match Access to opportunities to expand your skill set and share your knowledge with others across the organization Company culture of promotions from within, with a start-up atmosphere allowing for varied and rapid career development LEGAL STUFF Hiring is contingent on passing a complete background check and drug screening. Carvana is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. This role is not eligible for visa sponsorship." Data Scientist,"Boulder, CO",Gaia International Inc.,"SummaryThis is a great opportunity to join a Product and Engineering team that’s engaged in solving interesting technical and business problems using contemporary technologies with a team of talented product professionals and software engineers. And, this is an opportunity to join a growing business that is fulfilling a very important mission! As a data scientist, you’ll be a member of a small, tight-knit team that delivers meaningful value to Gaia’s members.ResponsibilitiesCreate, design, develop, test, calibrate, deploy, and support predictive models to support recommendations and personalization of Gaia’s content to delight Gaia’s members and make Gaia’s content shine. Models should incrementally improve specific business and product KPI’sPlan, track, and report on work progressAccurately estimate work tasks considering their level-of-effort, complexity, and uncertaintyDebrief on team performance and make incremental, small changes to support improvementsCelebrate successes with your team and the companyQualificationsAt least 3 years as a professional data scientist, preferably in a growth companyProfessional experience building predictive models through techniques such as machine learning, collaborative filtering, logistic regression, etc.Professional experience building predictive models to support merchandising and product recommendationsProfessional experience designing, executing and evaluating A/B testsHands-on experience in one or more of the following technologies: Spark, Python (including NumPy, SciPy, Pandas, or StatsModels, etc.)Hands-on experience with SQL on relational and NoSQL data stores, preferably on AWS platformsProven ability to collaboratively and maturely work on a teamCurious with an aptitude to quickly learnKnowledge of best practices in recommendation and personalization technologies from leading vendors or providers such as Netflix or AmazonMore About GaiaGaia exists as a transformational network to support a conscious global community. If we can connect our members to stories, people, and ideas that educate, inspire, and empower them to live mindfully, we believe collective consciousness will evolve.Gaia (Nasdaq: GAIA) is a publicly traded company in Louisville, Colorado. We offer global video streaming of over 8,000 original shows, films, documentaries, and practices for conscious living. Our vast video library serves as a vessel for the community we seek to empower. We are not a subscription service that streams whatever pays our bills. Our content goes deep into select niches of Transformation, Seeking Truth, Alternative Health and Yoga channels you see on Gaia.com. We love to embrace and fearlessly cover subjects that other media companies won’t touch.Before you apply, we encourage you to sign up and explore conscious living with Gaia's library of original shows, documentaries, and films. Feed your curiosity with ancient wisdom, coverups, and the paranormal, or discover new alternative health, yoga, and meditation practices. If our work resonates, you might just be a good fit for Gaia.We seek to hire and inspire employees who embrace our mission for a global conscious community, who hope their work empowers our community of inspired members to be catalysts of transformation. The best work we do every day is to remember our vision is “to empower the evolution of consciousness.”The perks of working collaboratively with a team dedicated to sharing this mission include an on-site gym and complimentary yoga and fitness classes; a beautiful solar-powered campus, complete with hiking and running trails, community garden, and a labyrinth; and an on-site, mostly organic café that serves breakfast and lunch daily including a full-service espresso bar featuring locally roasted coffee. Full-time employees are offered alternative and traditional medical benefits including preventative coverage; as well as dental, vision, 401K, and life insurance.Job Type: Full-timeExperience:data scientist: 3 years (Preferred)Work Location:One location" Data Scientist Intern,"Asheboro, NC 27203","Kennametal, Inc.","With over 80 years as an industrial technology leader, Kennametal Inc. delivers productivity to customers through materials science, tooling and wear-resistant solutions. Customers across aerospace, earthworks, energy, general engineering and transportation turn to Kennametal to help them manufacture with precision and efficiency. Every day approximately 10,000 employees are helping customers in more than 60 countries stay competitive. Kennametal generated nearly $2.4 billion in revenues in fiscal 2019. Learn more at www.kennametal.com. Follow @Kennametal: Twitter, Instagram, Facebook, LinkedIn and YouTube. Job description Kennametal is looking for exceptional talent as we continue to roll-out our $300MM global modernization initiative to better serve our customers and advance our organization. This high-visibility, high-growth opportunity will help us drive Industry 4.0 initiatives by applying data analytics and machine learning principles to deliver business outcomes in worldwide plants. We're looking for problem solvers, innovators, and individuals who are interested in making an immediate impact through their contributions. Responsibilities Identify high ROI use cases for Data Analytics and Machine Learning through collaborating with Advanced Integrated Manufacturing, plant management and IT Develop and deploy Machine Learning algorithms including Anomaly detection, Predictive Quality and Predictive Maintenance for various manufacturing processes Develop analytics to drive insights from large volume of machine data from worldwide plants to improve manufacturing performance Design and develop dashboards to deliver insights to different personas including operators, supervisors, plant managers and executives Design and conduct controlled experiments to validate and improve accuracy of algorithms Preferred Qualifications M.S. or Ph.D. students from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, or related fields Proficiency in Python or R Hands on experience with state-of-art Machine Learning libraries Familiar with IoT platforms like Azure Familiar with business systems like SAP Experience with visualization tools like PowerBI Basic understanding of manufacturing processes is a plus Equal Opportunity Employer" Data Scientist,"Atlanta, GA 30342 (Buckhead area)","GreenSky Administrative Services, LLC","Overview: GreenSky is a fast paced, innovative and growing disruptor in the Financial Technology space. You will be part of a team that leverages analytics to drive growth and innovation. We are looking for candidates who have strong quantitative skills, intellectual curiosity and a desire to learn. We have different roles where you can contribute such as credit policy, valuations, collections analytics, operations analytics, fraud analytics, sales and marketing analytics. Organizational: This position is a member of the Credit Strategy team Duties & Responsibilities:Perform EDA and feature engineering for model creation and performance improvementDesign, build, deploy, and support scalable statistical and machine learning modelsAnalyze and model structured and unstructured data Autonomously identify business risks and opportunities and create strategic or tactical recommendations using data-driven analysis Effectively communicate and defend analysis using written, oral, and visual mediaProvide quantitative and qualitative analytical support for asset performance, suspicious activity, risk exposure, and growth initiatives Partner with internal affiliates to further business understanding and facilitate inter-departmental insightDevelop and manage KPIs and present channel/vertical/LOB performance to leadership Acquire expertise in products, processes and strategiesProvide valuable insights using data-driven analytics to help identify and resolve issues relating to risk and profitability Be the trusted internal resource by demonstrating a deep understanding in your area of ownershipSupport the business and senior leadership by performing ad-hoc analysis and reporting Required Skills/Qualifications:3+ years professional work experience as data scientist or statistician BS/Master’s degreeExpertise in machine learning algorithms (Random Forests, GBM, Regression, Markov Models, Logistic Regression, K-Means, SMVs, Time Series, LSTM, etc.) Experience with statistical analysesProven experience in credit risk analysisExpertise with scripting languages and packages (Python, R, SAS, VBA, Pearl, etc.)Experience working with database systems (SQL, NoSQL, MongoDB, etc.)Experience building data pipelinesAptitude to clearly explain difficult techniques and procedures to senior managementFlexibility and ability to thrive in a rapidly-changing, fast-paced environmentExcellent written, verbal, and presentation skillsDemonstrated ability to think creatively and criticallyStrong analytical, problem-solving, and decision-making skillsPersistent, confident, and inquisitive personalitySkilled communicator with ability to influence others Preferred Skills & QualificationsMS/Ph.D. preferredAbility to understand risk implications of financial products #LI-JD1" Data Scientist,"Washington, DC 20036 (Downtown area)",Fannie Mae,"JOB INFORMATION Apply advanced financial or economic analytical methods and models to such processes as valuation of assets, projection of pricing or risk under varying economic scenarios. Use these tools to develop and quantify risk management strategies for mortgage-based assets or their derivatives. Assess prospective economic and regulatory capital requirements for portfolio assets under varying economic conditions. Develop, or provide guidance to the development of computer applications that perform or produce various pricing, capital requirements, risk management or hedging analyses.KEY JOB FUNCTIONS Examine data from segment of housing market in order to perform economic analysis of purchase rates, effects of interest rates, prepayment risk, default risk, or other trends that could affect the products or services of assigned business unit(s). Examine particular products of assigned business unit and analyze using standard and some sophisticated econometric or quantitative models to assess risk, predict future trends, and determine the efficacy of current analytical standards or models. Prepare or monitor periodic reports used to ensure accurate model fee reporting, compliance with the Credit Pricing Delegation and pricing model usage policies, and appropriate mapping of data for pricing purposes. Facilitate model updates by writing technical requirements for new or revised pricing methodologies, assessing impact of changes, and reviewing results. Validate user-defined configuration files used to model unique credit enhancement structures. Perform economic capital analysis, and other financial analysis when necessary, for review by business unit management, corporate risk management, or senior management in order to support strategic, regulatory, or risk management decisions. Lead team responsible for development of models to predict changing rent or property values that serve as inputs into credit pricing, economic capital, and loss forecasting models. Analyze empirical price, rental, fee and other financial data that are the basis for proprietary applications used by partners or counterparties in assessing risk, rating credit, or other functions. Qualification: EDUCATIONEducation Level Required (if any) Bachelor Degree or Equivalent Education Level Preferred(if any) Master, PhD or Other Advanced Degree Area of Study Preferred(if any) EconomicsMINIMUM EXPERIENCE 6-8 years of related experience SPECIALIZED KNOWLEDGE & SKILLS Strong experience and understanding of modeling applications. Aware of model limitations, able to analyze and assess model assumptions, and able to apply complex models to a range of business applications. Strong analytics skills, able to assess business need, define an analytic solution, and execute using analytics that range from excel tables - to small-scale statistical or machine learning analysis. Experience working with large data sets Programming experience with data gathering and analytics packages such as\: SQL, Tableau, SAS, R or Python Strong communication skills, both written and oral. Experience with technical writing preferred and track-record for strong presentations skills a plus Experience with consumer lending risk analytics and models a plus EMPLOYMENT As a condition of employment with Fannie Mae, any successful job applicant will be required to successfully complete a background investigation. Fannie Mae is an Equal Opportunity Employer." "Technical Specialist, Enterprise Data Scientist","Herndon, VA 20171",National Student Clearinghouse,"The Technical Specialist, Enterprise Data Scientist (a.k.a. Enterprise Data Scientist) role will be the foundational role for the Clearinghouse’s ongoing evolution in Master Data Management and the Learner Identity, in particular. The Enterprise Data Scientist leverages advanced analytics methods that establish and reinforce the recognition of data as an asset and the Clearinghouse’s expertise in learner data. The incumbent brings considerable experience in solving business problems with advanced analytic solutions. The incumbent’s mindset of algorithm development, strong data analysis, data profiling, and the ability to work collaboratively with information technology, product management, business analysts, and research center is key to achieve the CDO’s strategic data vision and goals in support of the Clearinghouse’s mission and vision. How You Contribute: Use advanced analytics methods to extract value from business data. Perform large-scale experimentation and build data-driven models to answer business questions. In cooperation with the CDO, articulate a vision and roadmap for the utilization of data as a valued corporate asset. Influence product teams through presentation of data-based recommendations. Evangelize best practices to analytics and product teams. Conduct research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence. Determine requirements that will be used to train and evolve deep learning models and algorithms. Work with data to identify patterns, use judgment to form conclusions that may challenge conventional wisdom, and focus on the crux of issues to identify high-leverage intervention points and strategies. Rapidly acquires new knowledge and learns new skills to support the Clearinghouse’s eventual growth in AI and Machine Learning. Seeks to understand business needs, and gets results that have a clear, positive, and direct impact on business performance Applies different strategies to convince others to change their opinions or plans, and ensures that proposals or arguments are supported by strong logic and a compelling business case, addressing all relevant factors Analyze application data requirements and create complex, realistic synthetic test data that meets data requirements for existing legacy systems, and new systems. Perform analysis of testing data results. Assist with creation of descriptive and analytical reports using various reporting tools. Assess adequacy of existing data for reporting requests, and provide written summary of findings. Perform root cause analysis. Identify and determine problem, and provide recommendation for resolving the problem, as well as any additional data problems the root cause may have created. Act as a resource to other departments by providing knowledge of Clearinghouse data. Demonstrate NSC’s competencies, which align with our corporate value Core Competencies include: Customer Focus, Optimizes Work Processes, Collaborates, Communicates Effectively, and Be Open and Authentic Position may be required to perform other duties as required. These essential functions are representative of those that must be met by an employee to successfully perform the job. Reasonable accommodations will be made to enable individuals with disabilities to perform these essential functions. What You Bring to the Table: Master’s degree in Data Science, Computer Science, Statistics, Economics, or other closely related field. A combination of education and experience including through military service, will also be considered. 8-10 years of experience in: Conducting statistical analysis and building models with advanced scripting language such as R, SPSS or other analytic tools. Experience in IT infrastructure, data preparation, and/or data engineering. Directly related experience in soliciting and defining requirements for mission critical business applications across technology, business and finance. Experience with: Statistical software, scripting languages, and packages (e.g., SQL, R, MATLAB, SAS, and Python). Master Data Management tools. Embedding quality controls in work processes to assure uninterrupted operation. Analyzing data for composing targeted and concise reports and translating strategic and tactical goals into assessment measures. Building and deploying predictive models, web scrapping, and scalable data pipelines. Integrating model performance management and monitoring continuously deployed models. Establishing best practices around machine learning production infrastructure. Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical mixed models/multi-level modeling. Demonstrated proficiency: Working with Agile principles, processes, driving decision making, and aligning the team/organization on goals and objectives. Identifying patterns and using judgment to form conclusions that may challenge conventional wisdom Focusing on the crux of issues to identify high-leverage intervention points and strategies Managing and prioritizing multiple projects to ensure successful, timely completion and issue-resolution. Working with Microsoft Office Suite, and other collaboration tools. Excellent communication, and presentation skills with the demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Live within a commutable distance of Herndon, VA or Pittsburgh, PA. Additional Desired Requirements: Knowledge of Clearinghouse services and applications. Experience with education data. Experience with software development management tools (Rally, Jira, Confluence). Experience with CRM and enterprise tools. Physical Demands: Use of a computer for 8 or more hours a day. Use of a copy machine and telephone. Frequently required to sit for 7 or more hours per day in close proximity to others in an open office environment. Occasionally required to use hands and fingers to operate, handle, and reach. Vision abilities include close vision and the ability to adjust focus." Post-Baccalaureate Data Scientist,"Guilford, CT",AI Therapeutics,"------------------- Company Description ------------------- AI Therapeutics mission is to democratize healthcare to everyone around the world. We are an AI-driven company with unique ability to match drugs to indications and advance through clinical development. We are reinventing the approach to drug discovery and development and championing a new era of breakthrough medical technology. AI Therapeutics is a well-funded, rapidly growing health-tech company founded by award-winning scientist and highly successful serial entrepreneur, Dr. Jonathan Rothberg. AI Therapeutics benefits from being a 4Catalyzer company, an incubator of health-tech companies (most notably Butterfly Network) who have collectively raised over $600 million in funding. Joining AI Therapeutics is the opportunity to redesign the future of healthcare through the power of technology. Embark on a journey with us to maximize global impact, motivated by the idea that our products will change the lives of millions along with the people you love. --------------- Job Description --------------- We are looking for a talented post-baccalaureate data scientist (one year internship) driven to develop creative solutions to unique computational problems encountered as we predict novel disease treatments. The ideal candidate would have a strong quantitative background with knowledge of bioinformatics techniques. In this role, you will be working in an interdisciplinary environment and will obtain invaluable transferable skills as you will be supporting both the deep learning and wet lab research teams. Moreover, you will have a chance to highly impact the company success supporting all aspects of research and development. As part of our team, your core responsibilities will be:Work alongside other experimental biologists, deep learning scientists, computational biologists and a world-class leadership team to help progress a new platform for precision medicine applications. Maintain and update existing datasets used in our proprietary drug prediction platform Search for new data types that can increase our predictive potential Support our deep learning team in finding hidden relationships between drugs and diseases Extract predictions from our proprietary drug prediction algorithm Support our research and clinical arms by performing bioinformatic analysis as needed -------------- Qualifications -------------- Baseline skills/experiences/attributes:BS in a STEM field, coursework in biology is important Knowledge of bioinformatics highly desirable High level of demonstrated programming competency, Python is preferred Proficiency using sci-kit learn, numpy, tensorflow is a big plus but not essential Must be self-motivated and able to see the next step in a problem and take action before being asked You Deeply Identify with Core AI Therapeutics Values:Efficient & Speedy - you get work done in a fraction of the time as industry peers Intellectually Curious - you are thoughtful & inquisitive; people enjoy working with you because they learn from you Mission-Driven & Committed - you are passionate about the company's purpose and are immensely productive Team Oriented - you celebrate and take joy in the success of others on the team ---------------------- Additional Information ---------------------- We offer great perks:Free onsite meals + kitchen stocked with snacks. Beautiful office near the ocean-front in historic Guilford, Connecticut The opportunity to build a revolutionary healthcare product and save millions of lives! AI Therapeutics does not accept agency resumes. AI Therapeutics is an equal opportunity employer regardless of race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability or Veteran status. All your information will be kept confidential according to EEO guidelines." Applied Scientist,"San Diego, CA",Amazon.com Services LLC,"Basic qualifications · A MS in CS machine learning, Statistics, Operational research or in a highly quantitative field · 3+ years of hands-on experience in predictive modeling and large data analysis · Experience with modeling tools such as R, scikit-learn, MxNet, Tensorflow, numpy, scipy etc. · Communication and data presentation skills · Problem solving ability Do you want to join an innovative team of scientists who use machine learning and statistical techniques to keep Amazon the safest and most trusted place to shop online? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data and create state-of-art algorithms to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Amazon Transaction Risk Management Systems group. Major responsibilitiesUse statistical and machine learning techniques to create scalable risk management systemsAnalyzing and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trendsDesign, development and evaluation of highly innovative models for risk managementWorking closely with software engineering teams to drive real-time model implementations and new feature creationsWorking closely with operations staff to optimize risk management operations,Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationTracking general business activity and providing clear, compelling management reporting on a regular basisResearch and implement novel machine learning and statistical approaches Preferred qualifications · A PhD in CS, machine learning, Statistics, Operational research · 4+ years of industry experience in predictive modeling and analysis · Strong problem solving ability · Experience with large scale distributed systems such as Hadoop, Spark etc. · Good skills with SQL and a scripting language such as Python · Fluent in a modern programming language such as Java, C, C++, or Scala" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Data Scientist Summer 2020 Internship,"Boston, MA 02111 (Leather District area)",Plymouth Rock Assurance,"Business Need / Purpose of Role: Data Scientist Summer 2020 Internship The Plymouth Rock Company is the holding company for a group of insurance companies and is headquartered in Boston. It employs 1,500 people, writes, and services over $1.1 billion in personal lines premium in New England and New Jersey. Plymouth Rock was founded in 1982 on the premise that combining extraordinary underwriting rigor, unparalleled customer service, and teamwork by passionate, driven professionals will lead to high levels of sustainable success. The core values that were the foundation of our company continue to serve us well. We offer a stimulating and highly collegial work environmentThis position will be critical in advancing our mission to drive profit-focused technical excellence and innovation within the Plymouth Rock Group of Companies. The position will be responsible for research and development of new analytical techniques around insurance pure premiums, customer lifetime value, customer-buying behaviors and other related topics utilizing internal and external data. This work will be used in setting pricing, underwriting and product strategies for the Plymouth Rock group of Companies. The analysis and modeling will be tested via implementation both broadly and on a pilot basis to allow us to learn and refine our approaches in rapid succession. Essential Functions and Responsibilities Data Analysis: The Data Scientist Intern will work with internal and external data to understand key drivers of expected insurance losses and lifetime customer value. This will require that the Intern acquires an understanding of various internal and external data sources, is able to illicit hypothesis from internal personnel regarding key variables and test those hypotheses using available data.Modeling: The Data Scientist Intern will help develop and enhance models used in a variety of contexts within the product management structure of Plymouth Rock. The Data Scientist Intern will be responsible for advancing the modeling capabilities within Plymouth Rock and transferring those advancements to other product management personnel.Implementation: The Data Scientist Intern will work with the product community to facilitate the application of models developed considering the regulatory and competitive contexts within which we operate. This will include ensuring that models are well understood, the implications are appropriately assessed, implementation plans are defined, validation of results are undertaken and adjustments are made rapidly. Qualifications and Education The successful candidate will have the following attributes: Graduate Student in economics, statistics or a related field (background in Bayesian statistics preferred). Practical experience in Econometrics and Statistics, such as GLM, GLMM, Bayesian inference, is desirable, preferably in a business context. Knowledge on machine-learning algorithms such as decision-tree, text mining, Random Forest and Gradient Boosting Model (GBM), is a plus Proficiency with modeling software such as SAS, R and Python, basic SAS programming experience is desirable. Knowledge of, and experience with, the technical aspects of insurance is a plus. Strong written and oral communication skills and an ability to communicate technical concepts to both technical and non-technical audiences. High standards for the work products delivered. Creative thinker with the ability to synthesize information from various sources and apply that information to concrete business problems. Flexibility and resiliency characteristic of a professional. About the Company The Plymouth Rock Company and its affiliated group of companies write and manage over $1.4 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,800 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”." Data Scientist - Global Optimization,"San Francisco, CA",Stitch Fix,"-------------- About the Team -------------- The Global Optimization team is focused on solving business-facing problems that cut across organizational and functional boundaries of the company. We seek to ensure that Stitch Fix's systems are operating at their global optimum rather than at local optima---as might occur if each system were optimized independently. We conceived, built, maintain, and improve the inventory targeting algorithm -- the technical system that allows Stitch Fix to optimize the outcomes for all clients simultaneously given our product inventory constraints. -------------- About the Role -------------- You will design, implement, and experimentally test improvements to the inventory targeting algorithm. You will leverage the client-product matching information provided by the inventory targeting algorithm to enhance cross-team visibility into product and client performance to improve all stages of the client and merchandise lifecycles. As an example, this could mean providing client-specific inventory health information to the marketing team so that they can choose to acquire clients that will have a good experience given our present inventory. It may also mean providing client-segment specific information about the products for which demand most exceeds supply so that the merchandise buying team can focus on buying items that improve client experience the most. -------------------------------------------------------------- You're excited about this opportunity because you will… -------------------------------------------------------------- Requires you to think about a large, functioning, successful business as an organic whole rather than focusing on a small slice Allows you to operate as a ""full stack"" data scientist participating in every stage of development from idea to proof-of-principle to production Is an opportunity to drive highly visible impact at the company --------------------------------------------- We're excited about you because… --------------------------------------------- Have a PhD or equivalent experience in a quantitative empirical science Have 3+ years industry experience interacting with production systems Are an exceptional communicator able to use the appropriate level of technical detail for a given audience May have background in convex optimization May have experience using distributed systems such as Spark Avoid getting ""blocked"" by working with a bias to action in the presence of ambiguity Know how to find the right balance of rigor and pragmatism in a given context Are able to identify new opportunities to improve algorithms and effectively prioritize among them Are bright, kind, and motivated by challenge ------------------------------------------------- You will love working at Stitch Fix because we... ------------------------------------------------- Are a successful, fast-growing company with a start-up work vibe. Are a technology and data-centric business, all in the service of our customers. Offer competitive salaries, equity and comprehensive health benefits. Are at the forefront of tech and fashion, redefining shopping for the next generation. Are passionate about our clients and live/breathe the client experience. Get to be creative every day. Have a smart and experienced leadership team that wants to do it right & is open to new ideas. Believe in autonomy & taking initiative. Are a group of bright and kind people who are motivated by challenge. We are challenged, developed and have meaningful impact We take what we do seriously. We don't take ourselves seriously We offer competitive compensation packages and comprehensive health benefits You will be proud to say that you work for Stitch Fix and will know that the work you do brings substantial positive impact to our users every day. ---------------- About Stitch Fix ---------------- Stitch Fix is an online personal style service for men and women combining art and science to disrupt and redefine the retail industry. We're the first fashion retailer to blend expert styling, proprietary technology and unique product to deliver a refined shopping experience. Using a blend of art and science, we deliver a deeply personalized shopping service to our customers. We leverage vast amounts of client data to make decisions throughout the company. This novel juxtaposition—at once analytical and artistic, technical and adventurous—attracts an extraordinary collection of talented people who are both thinkers and doers. Our diverse workforce has catalyzed enormous company growth over the past three years in terms of customer satisfaction and service efficacy. All of this results in a simple, powerful offering to our customers and a successful, growing business. We'd love for you to help us carry on the trend. Please review Stitch Fix's Recruiting Privacy Policy here: https://www.stitchfix.com/privacy/usrecruitingprivacy ( https://www.stitchfix.com/privacy/usrecruitingprivacy )" Data Scientist,"Palo Alto, CA 94301 (Crescent Park area)",LIVE OBJECTS,"About Live Objects Live Objects delivers continuous business process optimizations to the enterprise through AI-driven automation of discovery, design and process engineering by mining patterns in business objects, cases, and transactions across all process variations. The product integrates deeply with business process management platforms (like SAP, Salesforce, etc.) and delivers continuous process engineering natively as on-demand compositions through the platform’s interfaces. Live Objects’ path-breaking process-calculus engine models predictive, diagnostic and quality-related projections for live cases in business processes. Its AI-driven on-demand process reengineering engine composes process enhancements with rule-based associations with business objects for delivering quantified time, process, margin, and cost efficiency gains. The on-demand compositions can be subject to review by functional subject matter experts in CRM, ERP, MRP, order-to-cash, etc. before deploying them into live business processes. Ongoing client engagements include self-optimizing a wide spectrum of business processes including master data management, order-to-cash, sales distribution, and supply-chain management. The company is based in Palo Alto and venture funded by The Hive. The Hive is a fund and co-creation studio for AI-powered enterprise applications. About the Role The Data Scientist will drive the design and development of key artificial intelligence (AI) components of the platform including named entity recognition in natural language text, classifying business process actions from unstructured data, sequence mining actions into business process models and risk/conformance modeling. Responsibilities As a Data Scientist of a fast-growing startup, the successful candidate will be leading the development of key aspects of Live Objects’ product: Data mining using state-of-the-art methods Selecting features, building and optimizing classifiers using machine learning techniques Extending the company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Creating automated anomaly detection systems and constant tracking of its performance About You The successful candidate will have experience in working in innovative projects with fast-paced delivery schedules in startups & large enterprises: Proven track record of analyzing large-scale complex data sets, modeling and machine learning algorithms Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with common data science toolkits, such as R, Python (NumPy, SciPy, Pandas ), Matlab Experience in deep learning frameworks (e.g., Tensorflow, MxNet), and Large-scale optimization preferred. Experience with NLP toolkits such as NLTK, OpenNLP, Stanford CoreNLP, etc. Proficiency in using query languages such as SQL Experience with NoSQL databases, such as MongoDB, Cassandra Good applied statistics skills, such as distributions, statistical testing, regression, etc. 5 – 10 years of experience in Applied Machine learning Educational background in a relevant field (Computer Science, Applied Math, Statistics) Please send your resumes to jobs@liveobjects.ai" Data Scientist,"Raleigh, NC",Agari,"----------- About Agari ----------- Founded by thought leaders of Cisco's IronPort solutions, our mission is to build new internet scale data driven security solutions that eliminate email as a channel for cyber attacks and enable businesses and consumers to interact safely. Agari is trusted by leading Fortune 1000 companies, including 6 of the top 10 banks and 5 of the world's leading social media networks, as well as Government Agencies, to protect their organizations, partners, customers and citizens from advanced email phishing attacks. Headquartered in Silicon Valley, Agari is backed by Alloy Ventures, Battery Ventures, First Round Capital, Greylock Partners, Norwest Venture Partners, ScaleVP, and now Goldman Sachs. ----------------- Agari Engineering ----------------- We believe strongly in autonomy for our engineering team; in collaboration with the product owners and engineering colleagues, our engineers are empowered to make decisions about every aspect of our architecture and development process. We're AWS hosted and are working hard to automate away as much of the reactive and tedious aspects of development as possible. We have a nice Scrum approach and look to improve with each sprint. ----------- Your Impact ----------- Work with product stakeholders to identify new product opportunities, new features on existing products, and improve existing features in data driven product focused ways. Help build, train, and maintain machine learning and statistical models and corpuses at the heart of our business. Help cross functional groups access, visualize, and explain company data. Work closely with Data Engineering teams to implement new ideas in performant and stable implementations. Work with stakeholders to identify new product opportunities, new features on existing products, and improve existing features in data driven product focused ways. Quickly assess the potential benefit of projects to help prioritize what to spend engineering energy and time on. Use existing tools and packages where possible, build and invent new ones where not. Help measure and summarize efficacy and product impact. -------------------- Your Keys to Success -------------------- Strong problem solving skills and comfort with applied math and statistics Familiar with at least one programming language suited for data science - python preferred. Experience with at least one ml/stats tool - R, scikit-learn, etc Practical experience building and nurturing predictive/analytic products Experience with several ML techniques and their real world advantages and disadvantages Experience with data architectures - RDBMS, NoSQL, Streaming, etc Degree in applied science with several years experience in production data science Some practical experience with a distributed computing platform ------------------------------- Why we're a great place to work ------------------------------- Won Best Places to Work 2018 Fast-growing cyber security start-up –Won the best Email Security Solution 2018 Competitive benefits package -equity included! Hard working people with a lively office environment Weekly company events – lunches, social happenings, etc (We like to have fun too!)" Junior Data Scientist,"Chesterfield, MO 63017",Berkley,"Company Details: JUNIOR DATA SCIENTIST – ENTRY LEVEL Midwest Employers Casualty (MEC) is a member of the W. R. Berkley Corporation, a fortune 500 company, rated A+ (Superior) by A.M. Best Company, based in Chesterfield, MO. We improve the quality of life for employees severely injured on the job and help companies understand and mitigate their risk for workers’ compensation injuries. MEC has a friendly, results-focused work environment. We seek employees who take initiative, are quick to adapt, are dependable, and like working as part of a team. Description As a Junior Data Scientist, you will focus on leveraging the company’s substantial data assets to deliver actionable and meaningful business insights using analytics / predictive models / machine learning / artificial intelligence. The ideal candidate will possess a strong technology background with entry to mid-level expertise in building and deploying predictive models. We are looking for a highly motivated individual with the ability to help us deliver next-generation predictive models. This position requires supporting our application infrastructure, writing code, model development, analyzing data, working with both internal and external customers, and participating in project management/project execution. The Predictive Analytics team members are passionate about continuous learning and turning that knowledge into cutting-edge analytical solutions. We strive to deliver innovative analytical tools that generate tangible business results. Responsibilities Deliver high-quality code, data analysis, and data visualization using best practices. Assist with model development, testing and deployment. Servicing the data needs of customers by providing analysis, reports and/or electronic files Analyzing internal and external data to explore various business problems and document findings. Acting as a liaison between the Predictive Analytics Group and other departments. Actively assisting with project management and project execution. Position Requirements Formal Education & Certification Advanced degree in computer science, mathematics, statistics, engineering, physics or other sciences. Education should include significant work in advanced mathematics, statistics, and/or data science. Undergraduate or graduate work in computer science is a plus. Knowledge & Experience Requires 0 to 3 years of business experience as a data scientist or in a related field. Possesses an intense curiosity and determination to explore and solve complex business problems utilizing data, technology, and analytical techniques. Ability to multitask and manage assigned work under very tight deadlines. Experience with a variety of statistical and machine learning algorithms Take high-level project requirements and formulate timelines, milestones, and tasks as part of project execution. Provide project status reports to management regarding project progress. History of working with very large databases for analytical purposes. This would include both transactional systems and data warehouse systems. Expert level understanding of SQL Databases and the SQL Programming Language – SQL Server / Oracle and including programming in T-SQL, PL/SQL or the like. Intermediate level programming experience with Python and/or R Deep understanding of information technology practices relating to data, data warehousing, ETL processes and data mining. Understanding of project management practices and approaches including waterfall and Agile methodologies. Experience with project management software such as Microsoft Team Foundation Server, Jira, etc. Experience with code management (version control) techniques utilizing tools such as Microsoft Team Foundation Server, Github, etc. Experience with UNIX and Docker Personal Attributes Excellent listening and interpersonal skills. Experience working in a team-oriented, collaborative environment. Ability to translate very complex subject matter into understandable written and oral communications. Work Conditions Occasional evening and weekend work to meet deadlines. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard or mouse, and to handle other computer components. Lifting and transporting of moderately heavy objects, such as laptop computers and reference books." Data Scientist,"Boulder, CO",Gaia International Inc.,"SummaryThis is a great opportunity to join a Product and Engineering team that’s engaged in solving interesting technical and business problems using contemporary technologies with a team of talented product professionals and software engineers. And, this is an opportunity to join a growing business that is fulfilling a very important mission! As a data scientist, you’ll be a member of a small, tight-knit team that delivers meaningful value to Gaia’s members.ResponsibilitiesCreate, design, develop, test, calibrate, deploy, and support predictive models to support recommendations and personalization of Gaia’s content to delight Gaia’s members and make Gaia’s content shine. Models should incrementally improve specific business and product KPI’sPlan, track, and report on work progressAccurately estimate work tasks considering their level-of-effort, complexity, and uncertaintyDebrief on team performance and make incremental, small changes to support improvementsCelebrate successes with your team and the companyQualificationsAt least 3 years as a professional data scientist, preferably in a growth companyProfessional experience building predictive models through techniques such as machine learning, collaborative filtering, logistic regression, etc.Professional experience building predictive models to support merchandising and product recommendationsProfessional experience designing, executing and evaluating A/B testsHands-on experience in one or more of the following technologies: Spark, Python (including NumPy, SciPy, Pandas, or StatsModels, etc.)Hands-on experience with SQL on relational and NoSQL data stores, preferably on AWS platformsProven ability to collaboratively and maturely work on a teamCurious with an aptitude to quickly learnKnowledge of best practices in recommendation and personalization technologies from leading vendors or providers such as Netflix or AmazonMore About GaiaGaia exists as a transformational network to support a conscious global community. If we can connect our members to stories, people, and ideas that educate, inspire, and empower them to live mindfully, we believe collective consciousness will evolve.Gaia (Nasdaq: GAIA) is a publicly traded company in Louisville, Colorado. We offer global video streaming of over 8,000 original shows, films, documentaries, and practices for conscious living. Our vast video library serves as a vessel for the community we seek to empower. We are not a subscription service that streams whatever pays our bills. Our content goes deep into select niches of Transformation, Seeking Truth, Alternative Health and Yoga channels you see on Gaia.com. We love to embrace and fearlessly cover subjects that other media companies won’t touch.Before you apply, we encourage you to sign up and explore conscious living with Gaia's library of original shows, documentaries, and films. Feed your curiosity with ancient wisdom, coverups, and the paranormal, or discover new alternative health, yoga, and meditation practices. If our work resonates, you might just be a good fit for Gaia.We seek to hire and inspire employees who embrace our mission for a global conscious community, who hope their work empowers our community of inspired members to be catalysts of transformation. The best work we do every day is to remember our vision is “to empower the evolution of consciousness.”The perks of working collaboratively with a team dedicated to sharing this mission include an on-site gym and complimentary yoga and fitness classes; a beautiful solar-powered campus, complete with hiking and running trails, community garden, and a labyrinth; and an on-site, mostly organic café that serves breakfast and lunch daily including a full-service espresso bar featuring locally roasted coffee. Full-time employees are offered alternative and traditional medical benefits including preventative coverage; as well as dental, vision, 401K, and life insurance.Job Type: Full-timeExperience:data scientist: 3 years (Preferred)Work Location:One location" Data Scientist II - Home Valuation,"Seattle, WA 98101 (Downtown area)",Zillow Group,"About the team Zillow is looking for an outstanding Data Scientist to join our Zillow Offers team. Zillow is on a mission to give consumers greater certainty and control when selling their home. Using our unparalleled data, you will help us build a world-class platform for real estate marketplace optimization. In the Zillow Offers product, Zillow buys homes directly from interested homeowners, thereby reducing the stress, effort, and time frame to sell a home. Instead, we take this task upon ourselves by quickly preparing homes for market and re-selling them. This is a key initiative at Zillow as we seek to define the future of real estate. Do you have experience designing and implementing experiments? As a Data Scientist supporting home valuations for our Zillow Offers business, you will help improve our ability to accurately value homes thereby creating fairer offers for sellers and enabling us to lower the costs of the business. Our process for valuing homes is a blend of cutting-edge machine learning with input from actual real estate experts. The experiments and research you conduct will help us balance ML predictions with our vast real estate knowledge. About the role Once you are here, you'll work to make important decisions that influence the direction of the company and how we value homes. More specifically: Design and implement experiments to accurately value homes and make recommendations for improvements to our valuation process. Conduct detailed data analysis to offer data driven recommendations for how we can improve our approaches to valuing homes. Explore Zillow's rich set of internal and third party data (think SQL, Python, Tableau, R) to help us answer challenging analytical problems. Build deep understanding of our existing Machine Learning models and help us create reporting around those models. Tell stories that describe analytical results and insights in meetings of all sizes with diverse audiences. Who you are You will develop a deep understanding of our mission, business models, and personas. We want you to use that intuition you've developed (both in business and real life) to find opportunities for growth and cultivate insights from our massive data sets. We're looking for a seasoned data scientist with the following attributes: A Bachelor's Degree + 4 years of experience OR 2 + years of experience and a Master's Degree in a quantitative field (e.g. computer science, engineering, economics, finance, statistics, or similar). 2+ years of work experience involving quantitative data analysis and complex problem solving. Experience with designing and implementing experiments and measuring the impacts of the experiment. Strong knowledge of SQL, and either Python or R, along with some experience with visualization software like Tableau or libraries in Python/R. Practice with terminology, and measurement issues related to experimentation, along with a history of applying advanced analytical approaches to derive insights from the data. Strong written, verbal, and visual communication skills to concisely communicate in a way that provides context, offers insights, and minimizes misinterpretation. Get to know us Zillow is the leading real estate and rental marketplace dedicated to empowering consumers with data, inspiration and knowledge around the place they call home, and connecting them with the best local professionals who can help. Zillow is part of Zillow Group, whose mission is to build the largest, most trusted and vibrant home-related marketplace in the world. At Zillow Group, we're powered by our inclusive work culture, where everyone has the support and resources to do the best work of their careers. Our efforts to streamline the real estate transaction is supported by our passion to empower people and enrich lives around everything home, a deep-rooted culture of innovation, a fundamental commitment to Equity and Belonging, and world-class benefits. But, don't just take our word for it. Read our reviews on Glassdoor and recent recognition from multiple organizations, including: Fortune 100 Best Companies to Work For (#69), Fortune Best Workplaces for Diversity (#38), Fortune Best Workplaces for Parents (#31), Fortune Best Workplaces for Women (#20), Fatherly's Best Workplaces for New Dads (#37), JUST Capital 100 Company (#69), Bloomberg Gender Equality Index constituent. Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. See what information we collect about you." Data Scientist,"Detroit, MI 48226 (Downtown area)",Petram Data,"Preferred Qualifications Bachelor’s degree in a technical field with 4 years of experience or a master's/Ph.D. with 1 year of experience Experience leading at least one enterprise level data project Experience with at least one data project using Spark (preferably Spark R) Strong problem solving skills and a willingness to roll up one’s sleeves to get the job done Excellent written and verbal communication skills Experience mentoring junior members of a team Familiarity with data governance best practices Experience developing processes for bringing solutions from the design phase to production Desire to learn new tools and contribute to tool evaluation Ability to travel Experience with data architecture and data structure design principles Familiarity with the last mile problem in data science Job Summary The Data Scientist identifies, interprets and analyzes patterns and trends in complex data sets to grow our business and provide our customers with valuable insights and knowledge. They optimize data quality through developing, prototyping and testing predictive algorithms and implementing data collection systems. Uncovering insights in large sets of structured, semi-structured and unstructured transactional and real-time data from multiple sources is critical in this role. Responsibilities Think analytically, problem-solve and have experience researching new areas Work independently Communicate to stakeholders at various levels of analytics knowledge Be proficient with Python (Sklearn, SciPy, NumPy, etc.), R, Spark, Apache Hadoop, AWS and SQL Translate analysis into a data story with actionable insights Who We Are At Petram, we are passionate about our work and committed to greatness. Leveraging our collective genius as a team to innovate for the future, we're looking for people committed to learning who are self-motivated and inspired to solve the big problems our customers bring to us. Revealing insights in data to empower our clients is one side of the coin; inspiring teammates to thrive is the other. Disclaimer This is an outline of the primary responsibilities of this position. As with everything in life, things change. The tasks and responsibilities can be changed, added to, removed, amended, deleted and modified at any time by the leadership group." Data Scientist,"Plano, TX 75025",Alagar,"We are looking for exceptional talent in the data science and analytics area to help our clients realize value from their data. Our clients are in multiple industries ranging from Healthcare to Aerospace & Defence. We offer an unique opportunity to join a team of veterans who have an average of 20 years experience in building predictive models. Part of your job will be to evangelize analytics and help educate our clients in the field of data science. You will provide expertise on mathematical concepts and inspire organizations to adopt an analytics culture. You will build data products that help our customers gain competitive advantage. You will engage with our clients to build predictive models in a collaborative mode and train them to maintain and continue to enhance the models. You will educate, build, train and transfer all activities to the clients. We will consider you if you have an advanced degree in mathematics, statistics, physics, operations research or computer science and have at least 10 years experience in data science delivering quantifiable value to enterprises. Skills in SQL, Python, R, java, SPSS and similar technologies." Principal Data Scientist,"Santa Barbara, CA",Briq,"The Startup Located in breathtaking downtown Santa Barbara, centered in the vibrant, up-and-coming Haley Corridor, Briq is altering the landscape for construction decision making. We are harnessing the power of data to build the industry's first construction data cloud. Leaders in automation, machine learning, and artificial intelligence, Briq is helping construction companies minimize risk and maximize success. The Skinny Briq is ready for curious, charismatic, creative people to join the Engineering Team at one of the fastest-growing construction analytics companies. Our team of strategists, leaders, data scientists, and change-makers are revolutionizing the world by providing data tools that improve decision-making in one of the most predominant industries today. Our clients are among the largest builders in the world; responsible for creating the infrastructure you thrive on and designing the cities you live, work and play in. They are hungry for better, smarter data and we are hungry for your talents to help make it happen. The Skill The Briq Engineering team is looking for a Principal Data Scientist to fuel our accelerated growth. We are rapidly growing and ready for someone who harbors a passion for crafting and deploying top quality, high-performing, data, AI, and analytic systems to join the Briq family in evolving our platform and changing the world of construction. The Principal Data Scientist will guide the engineering team in decision-making and best practices; ensuring a consistently high-quality product while: Driving engineering culture of excellence in partnership with product teams Leading technical direction on design, implementation, and deployment of data services and pipelines that satisfy the evolving needs of our customers Coordinating leadership contribution and buy-in to design planning process across Briq products and services Ensuring the use of data and AI is woven throughout the Briq enterprise Establishing organizational best-practices scalable across teams and products resulting in consistent, high-quality, industry standard-setting analytics and AI systems Building internal and external relationships as a Briq evangelist and thought leaderThe Standard To be successful as a principal data scientist, you will have exceptional leadership, communication and project management skills with a deep understanding of software systems at multiple levels of abstraction and an intrinsic desire to develop the skills and talents of others. You take a keen interest in international trends in engineering and leadership and harbor an above average emotional intelligence. Moreover, your background likely looks a lot like this: Fifteen (15) years of experience in artificial intelligence, machine learning, natural language processing or related areas in the context of web-based software development/software engineering, data warehousing, or other client/server applications, Master's degree in Computer Science or a related field, PhD preferred, Actively participated in a development team operating at large scale, Technically led a team of data scientists and demonstrated mentoring skills within the group, Experience with a wide range of programming languages such as Python and Scala, Experience with relational and noSQL databases, Experience with real world applications of artificial intelligence and machine learning, Proficiency with cloud computing providers such as Amazon Web Services, Google Cloud Services, or Microsoft Azure.The Briq platform is used by construction leaders looking for meaning in their data. You'll join a highly collaborative and passionate engineering and product organization who are on a mission to help people see and understand data, dedicated to building a fantastic company and workplace, and are relentlessly focused on our customers and on building amazing products. Principal software engineers report directly to the CTO and work closely with the director of engineering to support all aspects of developing and operating our products. Briq is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you think you have what it takes to thrive here, we want you!" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" "Technical Specialist, Enterprise Data Scientist","Herndon, VA 20171",National Student Clearinghouse,"The Technical Specialist, Enterprise Data Scientist (a.k.a. Enterprise Data Scientist) role will be the foundational role for the Clearinghouse’s ongoing evolution in Master Data Management and the Learner Identity, in particular. The Enterprise Data Scientist leverages advanced analytics methods that establish and reinforce the recognition of data as an asset and the Clearinghouse’s expertise in learner data. The incumbent brings considerable experience in solving business problems with advanced analytic solutions. The incumbent’s mindset of algorithm development, strong data analysis, data profiling, and the ability to work collaboratively with information technology, product management, business analysts, and research center is key to achieve the CDO’s strategic data vision and goals in support of the Clearinghouse’s mission and vision. How You Contribute: Use advanced analytics methods to extract value from business data. Perform large-scale experimentation and build data-driven models to answer business questions. In cooperation with the CDO, articulate a vision and roadmap for the utilization of data as a valued corporate asset. Influence product teams through presentation of data-based recommendations. Evangelize best practices to analytics and product teams. Conduct research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence. Determine requirements that will be used to train and evolve deep learning models and algorithms. Work with data to identify patterns, use judgment to form conclusions that may challenge conventional wisdom, and focus on the crux of issues to identify high-leverage intervention points and strategies. Rapidly acquires new knowledge and learns new skills to support the Clearinghouse’s eventual growth in AI and Machine Learning. Seeks to understand business needs, and gets results that have a clear, positive, and direct impact on business performance Applies different strategies to convince others to change their opinions or plans, and ensures that proposals or arguments are supported by strong logic and a compelling business case, addressing all relevant factors Analyze application data requirements and create complex, realistic synthetic test data that meets data requirements for existing legacy systems, and new systems. Perform analysis of testing data results. Assist with creation of descriptive and analytical reports using various reporting tools. Assess adequacy of existing data for reporting requests, and provide written summary of findings. Perform root cause analysis. Identify and determine problem, and provide recommendation for resolving the problem, as well as any additional data problems the root cause may have created. Act as a resource to other departments by providing knowledge of Clearinghouse data. Demonstrate NSC’s competencies, which align with our corporate value Core Competencies include: Customer Focus, Optimizes Work Processes, Collaborates, Communicates Effectively, and Be Open and Authentic Position may be required to perform other duties as required. These essential functions are representative of those that must be met by an employee to successfully perform the job. Reasonable accommodations will be made to enable individuals with disabilities to perform these essential functions. What You Bring to the Table: Master’s degree in Data Science, Computer Science, Statistics, Economics, or other closely related field. A combination of education and experience including through military service, will also be considered. 8-10 years of experience in: Conducting statistical analysis and building models with advanced scripting language such as R, SPSS or other analytic tools. Experience in IT infrastructure, data preparation, and/or data engineering. Directly related experience in soliciting and defining requirements for mission critical business applications across technology, business and finance. Experience with: Statistical software, scripting languages, and packages (e.g., SQL, R, MATLAB, SAS, and Python). Master Data Management tools. Embedding quality controls in work processes to assure uninterrupted operation. Analyzing data for composing targeted and concise reports and translating strategic and tactical goals into assessment measures. Building and deploying predictive models, web scrapping, and scalable data pipelines. Integrating model performance management and monitoring continuously deployed models. Establishing best practices around machine learning production infrastructure. Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical mixed models/multi-level modeling. Demonstrated proficiency: Working with Agile principles, processes, driving decision making, and aligning the team/organization on goals and objectives. Identifying patterns and using judgment to form conclusions that may challenge conventional wisdom Focusing on the crux of issues to identify high-leverage intervention points and strategies Managing and prioritizing multiple projects to ensure successful, timely completion and issue-resolution. Working with Microsoft Office Suite, and other collaboration tools. Excellent communication, and presentation skills with the demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Live within a commutable distance of Herndon, VA or Pittsburgh, PA. Additional Desired Requirements: Knowledge of Clearinghouse services and applications. Experience with education data. Experience with software development management tools (Rally, Jira, Confluence). Experience with CRM and enterprise tools. Physical Demands: Use of a computer for 8 or more hours a day. Use of a copy machine and telephone. Frequently required to sit for 7 or more hours per day in close proximity to others in an open office environment. Occasionally required to use hands and fingers to operate, handle, and reach. Vision abilities include close vision and the ability to adjust focus." Freelance Senior Data Analyst,"Los Angeles, CA 90036 (Mid City area)",Fox Corporation,"OVERVIEW OF THE COMPANY Fox Corporation Under the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News, FOX Sports, the Fox Network, and the FOX Television Stations. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking. JOB DESCRIPTION Our team is looking for a Freelance Senior Data Analyst to join our growing team. You are passionate about helping product teams make data-driven decision and a flexible team player that can thrive in a fast-paced, dynamic working environment. You are also comfortable working closely with designers, product managers, and engineers that care deeply about creating great experiences for our users. A SNAPSHOT OF YOUR RESPONSIBILITIES Work with stakeholders across departments to understand what KPIs are important from a priorities perspective and come up with a measurement plan Work with the Engineering, Product and Marketing teams to ensure metrics are appropriately defined, implemented and tested across our digital assets Design, build and maintain key periodic reports and dashboards Develop best practices and approaches to answer ad hoc questions on online user behavior, customer journeys, engagement, conversion data and multi-channel attribution Prepare and present reports, analysis and presentations to various stakeholders including executives WHAT YOU WILL NEED Bachelor's degree in quantitative or business fields preferred Understanding of how data can be used to help product teams and can communicate strategy to stakeholders. Prior experience in a consumer organization is a plus Web and mobile analytics experience using a variety of tools Experience using SQL and Tableau Python experience is a great plus Strong analytical skills Team player Highly organized, attention to detail and curious We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law." Data Scientist,"Chantilly, VA 20151",The Aerospace Corporation,"All Locations: Chantilly, VA (Virginia) A trusted partner. A national resource. A leader in national security space. We are THE Aerospace Corporation. A team that takes pride in our readiness to solve some of the most complex technical challenges in existence. With challenges spanning clandestine to commercial, you’ll have the unique opportunity to work on projects that are literally evolving our nation's space and launch capabilities. We all share a common passion and aspiration – to serve a mission much bigger than ourselves. When you join our team, you’ll be part of a rare collection of thought leaders and game-changing innovators. Are you ready to launch your career? Responsibilities The Machine Intelligence and Exploitation Department applies data analytics, machine learning, and statistical analysis to diverse data types in order to address our customer's analytic needs. The candidate we seek will work with team members across multiple internal organizations and customers to develop innovative data-driven solutions. Key Functions Provide expertise in data analytics and algorithm development supporting the integration, analysis and exploitation of diverse data sources with an emphasis on remotely sensed data. Ability to run and adapt existing machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection. Ability to create, develop, evolve, and improve machine learning, data mining, statistical, and predictive analytics algorithms for pattern recognition and anomaly detection on large diverse data sets. Design, develop and advance new methods to extract information from diverse data sources using flexible querying methods, innovative visualization, and data aggregation/integration, data mining and analytical techniques. Ability to understand the physical phenomenologies in the data. Familiarity with data fusion techniques to help develop automated data aggregation applications. Ability to create modular, hierarchical applications that assist in the automation of human activities. Utilize technical knowledge to deliver high-quality support to multiple Federal Government customers including the oversight of other contractors. Qualifications Required Degree from an accredited university in data science, statistics, applied mathematics or computer science. (Degrees in physical science or engineering are also acceptable). A minimum of 7 years experience post Bachelor’s degree. (Time spent obtaining an advanced degree counts toward this). Experience with remote sensing and/or signal processing. Strong desire to gain experience in the application of machine learning, data mining, and statistical algorithms for pattern recognition, anomaly detection, and the development of predictive models. Strong programming skills in at least one of the following languages: Python, R, Matlab, C++, and JAVA are required with Python being the preference. Strong written and oral communication skills. Must be able to work effectively within a diverse team of data scientists, software engineers, and intelligence analysts. This position requires the ability to obtain and maintain a security clearance, which is issued by the U.S. government. U.S. citizenship is required to obtain a security clearance. Strong problem-solving skills. Strong software development skills. Background in signal processing, image science, imagery exploitation, spectral analysis, spatial analysis, and computer vision. Preferred Advanced degree in data science, mathematics, statistics, computer science, physical science or engineering. Experience in Deep Learning. Experience in Natural Language Processing. Knowledge of commercial and open-source statistical software packages. Experience developing data visualizations or visual analytics applications. Experience with a wide range of databases. Current Top Secret clearance with SSBI. Transcript Requirement Transcripts are required for this position.Additional Requisition Details System Job Title: ENGRG SPECIALIST Clearance Requirement: TS/SSBI Access: SCI Polygraph: Counter Intelligence Polygraph Relocation Available: Yes Employment Type: Regular Work Schedule: Full Time Company Statement The Aerospace Corporation has provided independent technical and scientific research, development, and advisory services to national security space programs since 1960. We operate a federally funded research and development center (FFRDC) for the United States Air Force and the National Reconnaissance Office, and support all national security space programs. We also apply more than 50 years of experience with space systems to provide critical solutions to technologically complex systems in such areas as communications, shipping, law enforcement, and cyber, among others. From our inception, our highly skilled technical staff has focused on ensuring the success of every mission and developing the most effective and economic space-related hardware and software in the world. Our greatest asset is the technical expertise of our people. Our state-of-the-art laboratory facilities are staffed by some of the leading scientists in the world. Equal Opportunity Commitment The Aerospace Corporation is an Equal Opportunity/Affirmative Action employer. We believe that a diverse workforce creates an environment in which unique ideas are developed and differing perspectives are valued, producing superior customer solutions. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, gender, gender identity or expression, color, religion, national origin, sexual orientation, protected veteran status, or disability status. You can also review The Equal Employment Opportunity is the Law poster and the supplement, as well as the Pay Transparency Policy Statement.Nearest Major Market: Washington DC Job Segment: Scientific, Database, Engineer, Secret Clearance, Security Clearance, Engineering, Technology, Government" Data Scientist,"Jacksonville, FL",Florida Blue,"Job Summary Data Scientists produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, data modeling, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries. Use a flexible, analytical approach to design, develop, and evaluate predictive models. Generate and test hypotheses. The Data Scientist proactively seeks to develop their skillsets and provide value-added support within the Data Science team. Essential Functions The essential functions listed represent the major duties of this role, additional duties may be assigned. Communication & Project OwnershipSupport large projects, and manage smaller projects in their entirety Partner with senior team members to assess customer needs and define business questions. Emerging ability to influence customers to take action on analytical insights.Communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience.Identify and communicate roadblocks. Work on multiple concurrent projects and accommodate frequent interruptions and changing prioritiesEffectively participate in meetings with customers and emerging ability to guide discussion and decision making. (60%) Data AnalysisAcquire and bring structure to data so that it can be used in existing and new data systems.Build tools that help you and the other Data Scientists translate insights into action at scale.Identify, define and translate business needs/problems into analytical questions. Design and execute experiments, models, algorithms, and visualizationsUnderstand data sources and limitations, warehousing system and the impact of the data on business decisions.Identify, retrieve, and manipulate data from internal and external datasets.Apply statistical and computational methodologies to provide actionable insights and identify opportunities that optimize quality, consumer experience, and healthcare costs.Develop scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation. (30%) Reporting & OtherContribute to technical reports, white papers, and publications.Stay current on new processes and technology in Data Science and communicate findings to teamPerform all other tasks as assigned (10%)Required Work Experience 2+ years related work experience or equivalent combination of transferable experience and education. Experience Details: Advanced analytics or similar roleRequired Education Related Bachelor’s degree or additional related equivalent work experience Data Science, Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specializationAdditional Required Qualifications Requires experience with Object oriented programming such as Python or Java. and statistical packages – 3 years of SAS, SAS EG, and SAS EM, 1 yr of R or Python. Requires expert proficiency in SQL Requires experience with visual analytical packages such as Tableau or Microsoft Power BI Strong analytical and problem solving skills Experience in supporting large projects, and manage smaller projects in their entirety Ability to partner with senior team members to assess customer needs and define business questions. Emerging ability to influence customers to take action on analytical insights. Ability to communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience. Must have applied experience with advanced analytics e.g. predictive analytics models Must have applied experience in Machine Learning Preferred Education Master’s degree Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specializationAdditional Preferred Qualifications Experience in Big Data - e.g. Hadoop Business Intelligence tool development Other programming experience - Java, Perl, Python, UNIX/Linux scripting Healthcare, medical, or pharmaceutical work experience Experience with analysis around quality, consumer experience, and healthcare costs Experience in consumer analytics Experience in business analytics We are an Equal Opportunity Employer/Protected Veteran/Disabled." Data Scientist,"Osceola, AR",Big River Steel,"We are seeking a data scientist who can problem solve by implementing actionable data-driven business solutions, predict emerging trends and provide recommendations to stakeholder by analyzing and modelling a vast variety of data. Job Duties Include:1) Uphold a high integrity for BRS Systems while supporting Quality, Environmental and Safety Systems 2) Development and implementation of the surface inspection systems with correlation to BRS surface defect criteria and ratings 3) Assist in training of personnel on surface inspection, AI/ML systems use and functionality 4) Design and deploy data analytics pipelines for descriptive, applied and predictive analysis solutions 5) Collaborate with stakeholders and other personnel as needed in identification and troubleshooting of high impact process, quality and business problems 6) Assist Supervision as needed per assignmentsQualifications Required Education and Experience:1) Master’s degree in Electrical and/or computer engineering, with preferred emphasis or background in machine vision, machine learning, or data science related areas 2) Experience in programming in Python, Matlab, C/C++ 3) Understanding and experience with image processing and data science projects from data management, model building, evaluation, optimization and implementation 4) Strong systems knowledge and ability to interpret customer specific requirements and generate positive business results 5) Good organizational / time management skills with strong technical and analytical problem-solving abilities 6) Strong communication and computer skills; ability to work independently and cross-functionally with other departments 7) Knowledge and experience in steel mills is preferredShift and Work Environment: This position requires the ability to work in an office setting with daily tasks in the mill, which could typically involve extreme environments from hot to cold. This position can require long hours, weekend and holiday coverage to support routine responsibilities.Supervisory Responsibility: This position currently does not supervise others – the scope may change as time progresses and organization grows Big River Steel provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law." Data Scientist,"New York, NY 10022 (Turtle Bay area)",IFG Companies,"Job Brief The ideal candidate will have previous Data Modeling experience. Strong preference will be given to candidates with an actuarial background in the property and casualty insurance space. Overview IFG Companies is in search of a Data Scientist to join its growing Predictive Modeling team. The ideal candidate will have previous Data Modeling experience. Strong preference will be given to candidates with an actuarial background in the property and casualty insurance space. Responsibilities Build predictive and/or Machine Learning models in SAS Research new statistical and mathematical techniques that are suitable and helpful for solving business related problems Prepare data for modelling and make best/creative use of applicable and available internal or external data Identifying and integrating new datasets that can be leveraged for modeling efforts Support related processes around effectively deploying model to business Effectively communicate results in written, oral and presentation formats to technical and non-technical audiences Qualifications Bachelor’s degree in statistics, applied mathematics, or related discipline 3+ years of Data Modeling or similar experience. Experience with predictive modeling (classification, regression, parameter tuning, optimization criteria, feature selection), preferably with multiple techniques Experience in model validation techniques, model testing and continuous monitoring of model performance Experience in Property & Casualty Insurance is strongly preferred. Demonstrated experience working with large relational data sets. Working knowledge in SAS, R, Python or another platform to develop and implement predictive models. Ability and willingness to quickly gain knowledge of SAS enterprise guide and enterprise miner. Ability to communicate complex technical information in common language to foster teaching and analytics guidance to internal customers. Advanced experience in analytics, data cleaning, and predictive modeling. Ability to write queries in SQL. Detail-oriented and ability to work collaboratively Physical Demands Physical demands are considered to be that of an office environment, climate controlled, with minimal physical exertion. This position requires prolonged sitting, ability to utilize a computer and interactions with others in meetings or via phone. Benefits We offer a competitive compensation and benefits package including medical, dental, vision, 401(k), flexible spending, short-term and long-term disability insurance, life insurance, long-term care, education assistance and paid time off. IFG Companies is an equal opportunity employer committed to a diverse workforce. M/F/D/V" Data Scientist - Intelligence,"Washington, DC 20003 (Navy Yard area)",LOCKHEED MARTIN CORPORATION,"The coolest jobs on this planet… or any other… are with Lockheed Martin Space. At the dawn of a new space age, Lockheed Martin is a pioneer, partner, innovator and builder. Our amazing men and women are on a mission to make a difference in the world and every day we use our unique skills and experiences to create, design and build solutions to some of the worlds’ hardest engineering problems. Our culture encourages employees to dream big, perform with excellence and create incredible products. We provide the resources, inspiration and focus and if you have the passion and courage to dream big, we want to build a better tomorrow with you. The Defense Intelligence Agency (DIA), Directorate for Analysis (DI) requires support for the Analytic Modernization Team (AMOD). The agile development methodology provides a pathway for the DIA to introduce a new form of low-cost, high impact software development and product improvement. Contractors will provide the DIA and the Defense Intelligence Enterprise (DIE) worldwide coverage for intelligence analysis and analytic enabling services through timely, objective, and cogent military intelligence. A Data Scientist conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. Duties typically include: creating various ML-Based tools or processes, such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. Should be skilled in data visualization and use of graphical applications, including Microsoft Office and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python or SQL; statistical analysis; and data mining algorithms. Should have prior experience with large data Multi-INT analytics, ML and automated predictive analysis. Position is likely at Bolling AFB, Washington DC but may be in another metro DC location. To promote the sharing of ideas, Lockheed Martin fosters an inclusive work environment that encourages differences and big-picture thinking. Our employees play an active role in strengthening the quality of life where we live and work by volunteering more than 850,000 hours annually. Here are some of the benefits you can enjoy:MedicalDental401kPaid time offWork/life balanceCareer developmentMentorship opportunitiesRewards & recognition Learn more about Lockheed Martin’s competitive and comprehensive benefits package.Basic Qualifications:Experience using data analytics and related techniques to create intelligence productsExperience creating AI tools to automate processesExperience performing statistical analysis Desired Skills: - Understanding of GEOINT and SIGINT capabilities- Experience with supporting real-time missions and responding to ad hoc support requests flexibly and dynamically Ability to work independently and as part of a dynamic intelligence operations teamAbility to adapt to changing situationsAbility to prepare written and visual products BASIC QUALIFICATIONS: job.QualificationsLockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They’re dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.EXPERIENCE LEVEL: Experienced Professional" Applied Scientist,"San Diego, CA",Amazon.com Services LLC,"Basic qualifications · A MS in CS machine learning, Statistics, Operational research or in a highly quantitative field · 3+ years of hands-on experience in predictive modeling and large data analysis · Experience with modeling tools such as R, scikit-learn, MxNet, Tensorflow, numpy, scipy etc. · Communication and data presentation skills · Problem solving ability Do you want to join an innovative team of scientists who use machine learning and statistical techniques to keep Amazon the safest and most trusted place to shop online? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data and create state-of-art algorithms to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Amazon Transaction Risk Management Systems group. Major responsibilitiesUse statistical and machine learning techniques to create scalable risk management systemsAnalyzing and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trendsDesign, development and evaluation of highly innovative models for risk managementWorking closely with software engineering teams to drive real-time model implementations and new feature creationsWorking closely with operations staff to optimize risk management operations,Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationTracking general business activity and providing clear, compelling management reporting on a regular basisResearch and implement novel machine learning and statistical approaches Preferred qualifications · A PhD in CS, machine learning, Statistics, Operational research · 4+ years of industry experience in predictive modeling and analysis · Strong problem solving ability · Experience with large scale distributed systems such as Hadoop, Spark etc. · Good skills with SQL and a scripting language such as Python · Fluent in a modern programming language such as Java, C, C++, or Scala" NGS Data Scientist/Python Developer,"Waltham, MA","Miltenyi Biotec, Inc.","Data Scientist, Next Generation Sequencing Waltham, MA Your Tasks: As a member of the Miltenyi Biotec NGS team, you will have the exciting opportunity to develop pipelines and algorithms for analyzing large datasets of next generation sequencing (NGS) data, ideally in Python programming language. You will also be involved in the development of machine learning algorithms while working with lab scientists to develop in-house data analysis tools for R&D purposes. Overall, your ability to drive development activities and present data findings to colleagues and external collaborators will champion the continued success of Miltenyi Biotec products and the company as a whole. Your Profile: You hold B.S. and 2-4 years’ experience in a relevant field in the area of bioinformatics/genomics/NGS; or an equivalent combination of education and experience. You have knowledge of machine learning algorithms, including deep learning and convolutional networks; as well as experience in Python, including object-oriented programming. You posses excellent communication and presentation skills. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to walk; use hands to finger, handle, or feel; reach with hands and arms, talk, and hear. The employee is required to stand; climb or balance and stoop, kneel, crouch. The employee must occasionally lift and/or move up to 5 pounds. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception and ability to adjust focus. Must have ability to handle more than one task at a time and must work at a rapid pace while maintaining attention to detail. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. This job is performed in a temperature controlled, handicap-accessible facility without exposure to extreme hot or cold temperatures. Generally, this job is performed in an office environment. Miltenyi Biotec is a company that is transforming and progressing. Our culture is one of bold scientific innovation. Join a fresh and collaborative working environment that encourages contribution, innovation, and growth. Progress prospers with inspiration and curiosity. For 30 years Miltenyi Biotec has been developing products and services that are used in basic research, translational research and cell therapy. Today we are a team of more than 3,000 scientists, physicians, engineers, marketers and numerous other specialists. At Miltenyi Biotec, innovative ideas are being turned into cutting edge products. Together, we are passionate about driving biomedical progress towards curing severe diseases. Miltenyi Biotec, Inc. is an EO Employer – M/F/Veteran/Disability/Sexual Orientation/Gender IdentityExperience Preferred Knowledge of machine learning algorithms, including deep learning and convolutional networks Experienced in Python, including object-oriented programming 2-4 years experience in a relevant field in the area of bioinformatics/genomics/NGS or an equivalent combination of education and experience. Education Preferred Bachelors or better" New Graduate – Enterprise Data & Analytics – Data Science Analyst,"Palo Alto, CA",Dell,"Business Summary 98% of Fortune 500 Companies use VMware Technology! The most advanced companies in the world turn to VMware to manage, grow and transform their business. When you work here, you’re connected to a global community of innovative, empowered employees working together to solve the most critical technology challenges. We believe that creativity sparks innovation and inspires our employees to think differently and challenge the status quo. Whether it’s the kind of products we develop, our approach to sustainability, or how we give back to our communities, VMware finds unique ways to bring people together to fuel creative thinking. Want to know more, check out our website https://careers.vmware.com/ Job Role and Responsibilities Come and join our data science group at VMware's Enterprise Data & Analytics (EDA) team! We are looking for a strong technical individual as part of our talented data science team in developing and applying state-of-the-art data science solutions. These solutions will help fulfill VMware’s data-driven vision in business optimization & transformation across all business units, R&D, and the entire marketing ecosystem. You would be responsible for executing our strategic data science and machine learning roadmap, leveraging both operational and human generated datasets. Develop and deploy machine learning/deep learning solutions to discover and predict trends in customer behavior, propensity to buy and respond to marketing campaigns, SaaS and perpetual license customers' journey experiences, product development quality, just to name a few. Tackling highly challenging but interesting end-to-end data problems, from data cleaning to feature extractions, to model design and selections, validation and test, and productization of data science solutions in iterations. Finding patterns and uncovering business insights within structured and unstructured data Working side-by-side with technical and business leaders, business partner, and stakeholders to understand, process map, and solution complex business problems through the lens of data science. Unlocking repeatable patterns to predict, discover, and distill complex information into actionable improvement Challenging current best thinking, test theories, evaluate data science and machine learning concepts and iterate rapidly Adhere to our innovative culture within EDA and VMware through continuous researching and prototyping state-of-the-art machine learning / deep learning algorithm to apply to our business problems Requirements: Masters in Computer Science, Engineering, Statistics, Applied Math, or similar disciplines Solid fundamentals, knowledge of supervised, unsupervised machine learning, reinforcement learning and deep learning algorithms, such as classifiers, cluster analysis, dimension reduction, regression, CNN, RNN, DQN, temporal difference methods, sequence modeling, attention models, transformers, probability theory, algorithm design and theory of computation, information retrieval Experienced in at least one of the machine learning frameworks - Keras, Tensorflow, PyTorch, etc, as well as programming, visualization, and statistical tools such as R, Python, Java/C++ Entrepreneurial spirited and possess strong communication and collaboration skills; ability to master new technologies and clearly communicate results to technical and non-technical audience Preferred Skills: Passion in reaching a deep understanding of business problems and solving them by applying machine learning solutions Proficiency in big data technologies such as Hadoop, BigQuery, MapReduce, etc, and parallelization tools in enterprise Big Data Platform stack, technologies, and ecosystem is a strong plus This job opportunity is not eligible for employment-based immigration sponsorship by VMware Category : Engineering and TechnologySubcategory: Data ScienceExperience: New GraduateFull Time/ Part Time: Full TimeWork From Home: NoPosted Date: 2020-02-20 VMware Company Overview: At VMware, we believe that software has the power to unlock new opportunities for people and our planet. We look beyond the barriers of compromise to engineer new ways to make technologies work together seamlessly. Our cloud, mobility, and security software form a flexible, consistent digital foundation for securely delivering the apps, services and experiences that are transforming business innovation around the globe. At the core of what we do are our people who deeply value execution, passion, integrity, customers, and community. Shape what’s possible today at http://careers.vmware.com. Equal Employment Opportunity Statement: VMware is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: VMware is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at VMware are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. VMware will not tolerate discrimination or harassment based on any of these characteristics. VMware encourages applicants of all ages. Vmware will provide reasonable accommodation to employees who have protected disabilities consistent with local law. Job Family: Engineering Job ID: R1908930" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Education:Bachelor's (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Data Scientist, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of environments (including various databases, Linux servers, and Hadoop). You’ll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment.Expected Qualifications: Bachelor’s degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree strongly preferred 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analytics Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc. Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc. Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) Excellent communication skills Passion for extracting hidden insights and building machine learning systems that enhance business outcomes About GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Data Scientist,"Detroit, MI 48226 (Downtown area)",Petram Data,"Preferred Qualifications Bachelor’s degree in a technical field with 4 years of experience or a master's/Ph.D. with 1 year of experience Experience leading at least one enterprise level data project Experience with at least one data project using Spark (preferably Spark R) Strong problem solving skills and a willingness to roll up one’s sleeves to get the job done Excellent written and verbal communication skills Experience mentoring junior members of a team Familiarity with data governance best practices Experience developing processes for bringing solutions from the design phase to production Desire to learn new tools and contribute to tool evaluation Ability to travel Experience with data architecture and data structure design principles Familiarity with the last mile problem in data science Job Summary The Data Scientist identifies, interprets and analyzes patterns and trends in complex data sets to grow our business and provide our customers with valuable insights and knowledge. They optimize data quality through developing, prototyping and testing predictive algorithms and implementing data collection systems. Uncovering insights in large sets of structured, semi-structured and unstructured transactional and real-time data from multiple sources is critical in this role. Responsibilities Think analytically, problem-solve and have experience researching new areas Work independently Communicate to stakeholders at various levels of analytics knowledge Be proficient with Python (Sklearn, SciPy, NumPy, etc.), R, Spark, Apache Hadoop, AWS and SQL Translate analysis into a data story with actionable insights Who We Are At Petram, we are passionate about our work and committed to greatness. Leveraging our collective genius as a team to innovate for the future, we're looking for people committed to learning who are self-motivated and inspired to solve the big problems our customers bring to us. Revealing insights in data to empower our clients is one side of the coin; inspiring teammates to thrive is the other. Disclaimer This is an outline of the primary responsibilities of this position. As with everything in life, things change. The tasks and responsibilities can be changed, added to, removed, amended, deleted and modified at any time by the leadership group." Data Scientist,"Schaumburg, IL",Zurich North America,"Zurich North America is looking for a Data Scientist to join our Data & Analytics team based out of Zurich’s North American headquarters in Schaumburg, Illinois or our offices in Jersey City, New Jersey. The Data & Analytics team executes on an enterprise-wide data and analytics strategy that supports Zurich's business goals and creates a way to enhance our revenues while sharing our insights with our customers. Additionally, the Data & Analytics team helps prioritize business topics for support in conjunction with stakeholders, leads the build-out of data as a business asset, helps drive insights to action, and develops approaches to share and monetize insights. You will play a key role as a Data Scientist to help achieve the business goals stated above by: Supporting collaboration with business stakeholders to understand their problems and structure an advanced analytical solution to solve it Designing, developing, and validating models built using a variety of modeling techniques Working with cross-functional teams to put models into production, and provide support on IT implementation and system integration of models Developing a strategy on how to use the model to generate the desired impact Monitoring the model for accuracy, execution, and to ensure that it’s generating the desired impact. Basic Qualifications: Bachelor’s Degree in Computer Science or Mathematics/Statistics and 2 or more years of experience in the transforming data and developing insights for use in business decision area OR High School Diploma or Equivalent in Computer Science or Mathematics/Statistics and 4 or more years of experience in the transforming data and developing insights for use in business decision area OR Zurich Certified Insurance Apprentice including an Associate Degree in Computer Science or Mathematics/Statistics and 2 or more years of experience in the transforming data and developing insights for use in business decision area AND Experience applying data transformation techniques such as exact and probabilistic matching methods; fuzzy matching, text mining, and data reduction Preferred Qualifications: Master’s Degree Advanced analytical and problem solving skills Strong verbal and communication skills Data visualization experience building dashboards and interactive graphs Experience with programming and database mining tools such as Hadoop, Hive, Pig, SQL, Python, R, and R Shiny Imagine working for a company that truly cares about their employees, customers, stakeholders, and communities they serve. Imagine working for a values-driven organization that has the ambition and desire to be the best global insurance provider in the world. Zurich is that place where 55,000 employees across approximately 200 countries and territories are all focused on helping people and helping companies protect what is truly most important to them. We are a values-driven organization that takes pride in the work that we do every day and we have the ambition to be the best global insurer in the world. EOE disability/vets Zurich does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resume will become the property of Zurich American Insurance. If you are a preferred vendor, please use our Recruiting Agency Portal for resume submission. Primary Location United States-Illinois-Schaumburg Other Locations United States-New Jersey-Jersey City Schedule Full-time Travel Yes, 5 % of the Time Relocation Available No Job Posting 02/11/20" NLP Data Scientist,"Washington, DC 20001 (Shaw area)",Sayari Labs,"NLP Data Scientist, Washington, DC About Sayari Labs: Sayari is a venture-backed and founder-led global corporate data provider and commercial intelligence platform, serving financial institutions, legal and advisory service providers, multinationals, journalists, and governments. Thousands of analysts and investigators in over 30 countries rely on our products to safely conduct cross-border trade, research front-page news stories, confidently enter new markets, and prevent financial crimes such as corruption and money laundering. We at Sayari define our culture by a dedication to our mission of using open data to prevent illicit commercial and financial activity, a passion for finding novel approaches to complex problems, and an understanding that diverse perspectives create optimal outcomes. We embrace cross-team collaboration, encourage training and learning opportunities, and reward initiative and innovation. If you like working with supportive, high-performing, and curious teams, Sayari is the place for you. Position Description: Sayari is looking for a mid-level to senior NLP Data Scientist to join our Data Science team located in the heart of Washington, DC, a block away from the Chinatown metro. The Data Science team is an integral part of our Engineering division and works closely with our Software Engineering and Product teams, as well as other key stakeholders across the business. What You Will Do: We need your help to harvest and transform hundreds of millions of structured and unstructured records from over 150 countries and 30 languages into a dynamic and meaningful graph of entities and relationships. What You Will Need: Minimum three years experience in Natural Language Processing or closely related field with successful delivery of product offerings Minimum three years experience developing in Python (e.g. pandas, NumPy, Scrapy) Practical knowledge of preprocessing, TF-IDF, NER, word embeddings, word2vec, fastText, BERT, and other contextual embeddings Ability to work with subject matter experts to extract data across structured and unstructured data sources Experience parallelizing code on CPU/GPUs and either in AWS or GCP Experience with Apache Spark and one or more of deep learning frameworks Comfortable with NLP-related deep learning such as LSTM, RNN, and CNN Production and containerized technologies including GitHub, Docker, and Kubernetes What We Would Like: Worked with with Apache Kafka, NiFi, ElasticSearch Experience coding in Scala a plus Experience with Machine Translation and BERT Following latest developments in transfer learning, GLUE, and SuperGLUE benchmarks Who You Are: Strong process-oriented self-starter, with impeccable organizational skills Desire to work in a start-up environment, where iteration and learning is encouraged Ability to clearly articulate design intent and rationale Excellent communication and presentation skills What We Offer: Limitless growth and learning opportunities A collaborative and positive culture - your team will be as smart and driven as you A strong commitment to diversity, equity & inclusion Outstanding competitive compensation & comprehensive benefits package, including full healthcare coverage plans, commuter benefits, 401K matching, generous vacation, and a variety of other benefits. How to Apply: Please submit the job application using Sayari Labs Career page by Tuesday, March 31, 2020. Sayari is an equal opportunity employer and strongly encourages diverse candidates to apply. We believe diversity and inclusion mean our team members should reflect the diversity of the United States. No employee or applicant will face discrimination or harassment based on race, color, ethnicity, religion, age, gender, gender identity or expression, sexual orientation, disability status, veteran status, genetics, or political affiliation. We strongly encourage applicants of all backgrounds to apply. gtyUl3f0s7" Marketing Data Scientist,"Overland Park, KS 66211",Empower Retirement,"Looking to make a real difference? You belong right here. Come build a rewarding career helping others achieve their financial dream at an organization that values your own long-term success. With your unique talents, you have what it takes to be bold and brilliant in everything you do and reach new heights for a company dedicated to diversity and inclusion, community and you. If you share that belief, this is where you belong. Join our team of nearly 6,000 associates across 40 different locations worldwide and start your future today. This role supports the effort to identify, map and transform data elements from across enterprise data sources to meet the needs of marketing. This role will support the development, build out, testing, and maintenance of a robust marketing data mart. This role will also support the development of campaigns and ongoing production of reporting. The ideal candidate will have a familiarity with basic coding & reporting as well as strong critical thinking & problem solving skills. A Marketing Associate – Data & Reporting Analyst is responsible for a series of data related functions which may include: DUTIES / RESPONSIBILITIES / ESSENTIAL FUNCTIONS: Identify relevant data elements within existing data sources across the enterprise Map data across existing and new data sources Support development of data feeds between databases and applications Analyze data structure and format to determine how best to transform data to meet required needs Develop logic to transform data elements into the required structure and format for marketing use Translate existing coding languages to a universal code base Document data sources, logic and transformations Work with data warehouse, architecture and other IT teams to support ongoing build out of a marketing data mart Identify, access and transform data for analytics and reporting Develop and maintain basic reports and analytics Data validation across multiple databases EDUCATION: Bachelor’s degree in data science, economics, math, computer science or business related field OTHER PREFERRED QUALIFICATIONS: Self-starter able to adapt to changing conditions/requirements Strong critical thinking and problem solving skills Strong database knowledge and skills SQL skills & database experience Working Conditions/Physical Requirements: Normal Office Working Conditions We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status." "Data Scientist, People Analytics","Waltham, MA 02451",FRESENIUS,"Job ID 200004IVAvailable Openings 1Position Specific InformationPURPOSE AND SCOPE: The People Analytics team at Fresenius provides workforce insights and solutions that support the achievement of business imperatives, help identify solutions to key challenges, and uncover opportunities to improve the people experience and success of FMCNA. We are looking for a Data Scientist to join our team to help propel our trajectory and drive more impact. As a member of the team, you will be applying data science to solve a variety of business and people challenges. As we are a small team, we are looking for a Data Scientist with a variety of data engineering, machine learning and statistical skills. We are seeking for someone who is creative with data, including how and where we acquire it and how and where we use it. PRINCIPAL DUTIES AND RESPONSIBILITIES:Thought leadership on how to use advanced statistics, ML and AI in the HR domainWork with different stakeholders and other team members to understand the business question to be answered through analytics; define, interpret, and clarify scope of problems/issues and necessary data needs and analyses to be performed.Conducts advanced data analysis that result in actionable recommendations.Develop predictive models for attrition, high performance, and talent acquisition to enable forward-looking talent management programs and HR investment.Identifies what data is available and relevant, including internal and external data sources, leveraging new data collection processesBuilding production ETL processes to acquire and process dataProduction Deployment of predictive modelsUse analytical reasoning to proactively identify problems and develop hypotheses and recommend analytics solutions that addresses stakeholder’s needs.Partner with other analytical groups throughout the organization to share data and insights and leverage knowledge. Monitor industry trend to identify opportunities to adopt leading-edge people analytics solutions.Continuously evolve the best techniques to drive the change required in the organization. Other duties as assigned. Additional responsibilities may include focus on one or more departments or locations.See applicable addendum for department or location specific functions. PHYSICAL DEMANDS AND WORKING CONDITIONS:The physical demands and work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. PHYSICAL DEMANDS AND WORKING CONDITIONS: The physical demands and work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. EDUCATION: Advanced Degree in epidemiology, public health, statistics, data analysis or similar preferred; or Bachelor’s Degree with equivalent work experience Working knowledge in R, Python, SAS EXPERIENCE AND REQUIRED SKILLS: 3-5 years of relevant quantitative and qualitative research and analytics experience. Solid knowledge of statistical techniques. The ability to come up with solutions to loosely defined problems by leveraging pattern detection over potentially large datasets. Strong programming skills (such as Hadoop or other big data frameworks, Java), and statistical modeling (like SAS or R). Experience using machine learning algorithms. Proficiency in the use of statistical packages. Excellent verbal and written communication skills required for interacting with physicians, nurses, management, and peers. Ability to clearly summarize methodology and key points of program/report in technical documentation/specifications is also required. Strong knowledge of outcomes research and analysis of health quality data. Ability to work independently without day-to-day supervision or the use of templates. Knowledge of clinical data and dialysis industry. EO/AA Employer: Minorities/Females/Veterans/Disability/Sexual Orientation/Gender Identity Fresenius Medical Care North America maintains a drug-free workplace in accordance with applicable federal and state laws." Data Scientist,"Billerica, MA",NNIT,"NNIT is one of the world’s leading consultancies for the past twenty years serving the Life Science industry around the world. We apply the latest advances in technology - such as IoT, AI, Virtual Reality, Augmented Reality, Data Analytics - to make Quality Assurance, Regulatory Affairs, Clinical, Pharma Production and Laboratory processes more effective and efficient for our clients We are currently seeking a CLINICAL DATA SCIENTIST to work in the Boston/Billerica, MA area to help create solution architecture for different datasets. We are looking for someone with a strong Life Sciences clinical data background as well as a Solution architecture background. Visualization (R Shiny) is a plus The main responsibilities for this person include: Development of data transfer agreements with ancillary data vendors ensuring use of standards, fit-for purpose data models and transfer intervals. Create and review specifications for mapping internal data review model for safety and quality review as well as submission-ready CDISC SDTM. Ensure quality review of datasets (e.g., Pinnacle 21 compliance checking); ensure datasets are available for stakeholder use (medical review, central monitoring, adaptive decision making, etc.) and compliant for database lock and submission-ready tabulation packages. Develop and maintain working knowledge and expertise in programming languages utilized in current data management (SAS, SQL, etc.) and apply continuous learning as part of next generation data strategy (R, Python, Scala, Java, etc.). Create/maintain the ETL architecture and design Knowledge of AWS Oversee and direct the design and development of the data infrastructure. Mentor BI, Data, Application, and Infrastructure Strategy team members on ETL tool and architecture. Expose multilayer machine learning systems to customers while maintaining first class privacy and security standards Skills Needed Bachelors (Masters degree preferred) or equivalent years of experience Worked for/at a Pharma or a Consultancy company Life Sciences experience Clinical data experience Solution architecture experience AWS knowledge Excellent written and verbal communication Can work with Executives (to the point, service mindset, Available when needed) Consultancy mindset NNIT has a unique culture and approach to business that is quickly making us an employer of choice in the US. We are open, honest and value-adding in everything we do. Whether it’s our weekly Friday meetings for all of our US employees, or our annual company-wide Kick Off meetings, NNIT encourages employees to lean in and participate in creating new ideas and developing best practices. We want to grow our people through training and certification opportunities, as well as providing them with “stretch assignment” opportunities to gain experience in new areas. We encourage employees to work at our client sites to maximize NNIT’s value and are also open to working remotely when possible. We strive to have a good work-life-balance for all of our employees. All this can be summarized in a recent statement from an employee: “NNIT has excellent management and great communication with employees. A weekly team meeting keeps you abreast of company progress, finances, and standing in the industry. The positions they have are challenging and may require some extra hours per week depending on which position you apply for.” Apply today and find out the types of career opportunities NNIT can offer you! NNIT is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. If you require accommodations to apply for this or any of our roles due to a disability. please contact usrecreuiter@nnit.com | 609-945-5650" Data Scientist,"Ogden, UT","Silotech Group, Inc","Data Scientist Locations: Annapolis Junction, MD Colorado Springs, CO Ogden, UT Remote Reston, VA San Antonio, TX Essential Role and Responsibilities Data scientists and engineers design, implement, and maintain a data pipeline. Qualifications EDUCATION N/AEXPERIENCE5+ years’ experience developing in languages commonly used fordata analysis such as Python, R, Julia, or SAS. Experience working with databases such as SQL or MongoDB. 5+ years of theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization. 3+ years’ experience developing Reinforcement learning systems utilizing Finite Markov Decision Processes, Support Vector Machines, Q-Learning, Stochastic Finite State Machines, MCTS and other hybrid Deep Reinforcement Learning processesLICENSE/ CERTIFICATIONS U.S. CitizenACTIVE CLEARANCE Secret - Preferred Skills, Knowledge, and Competencies Communication skills - able to communicate in a clear, articulate, and professional manner on a daily basis via written and oral communications with customer contracting representatives, Silotech employees, and subcontract/teaming partner contracting organizations. Interpersonal and Customer Relations skills – able to maintain a professional and courteous attitude with employees and third-party individuals at all times to resolve conflicts and address any issues within the contractual structure and regulations. Planning/Organizational skills - able to prioritize work activities, use time efficiently and work through projects in a self-motivated manner balancing efforts between contracts, vendor agreements, and pricing requests. Adaptability – able to adapt to rapid changes in the work environment, manage competing demands and able to deal with frequent change, delays or unexpected events. Problem-solving skills – able to identify and resolve problems in a timely manner; gather and analyze information skillfully; able to apply independent judgment on a regular basis in making decisions. Time Management skills – able to use time effectively in a semi-supervised fashion, pursuing other activities when regular duties have reduced in volume; able to complete projects in a timely manner. Will work with occasional supervision over repetitive tasks. New duties or project type tasks may receive “strict” or “direct” supervision, depending upon the nature of the task(s). Working Conditions General office environment. Lighting and temperature are adequate. Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. With reasonable accommodation, individual should be capable of performing the essential duties listed above. Silotech Group is an EO employer – M/F/Vets/Disabled. Silotech Group is an EO employer – Veterans/Disabled and other protected categories. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status." Data Scientist,"Stamford, CT",Henkel,"HENKEL IS FOR THOSE WHO STEP UP. DO YOU? At Henkel, you can make a difference and craft your career. That’s why you own your projects and take full responsibility from an early stage. Our unique brands in markets around the world open up countless opportunities to follow your convictions and explore new paths. If you have an entrepreneurial mindset that allows you to always think out of the box - take the chance and shape the digital future together with us. YOUR ROLE Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Developing reports, visualizations, or statistical analysis as required and develop processes and tools to monitor and analyze model performance and data accuracy. YOUR SKILLS Four year degree in Computer Sciences/Information Systems or related with at least 2-3 years of experience in the area of Data Warehousing and Business Intelligence. Knowledge of modern data warehousing concepts, data modelling and data management. Experience in relational databases (MS SQL, Teradata, Oracle, DB2) and good knowledge of SQL Experience in Azure Cloud technology and Big Data – Hadoop, Java, Python, Spark, Dremio, Tableau, Power Bi – extremely beneficial Knowledge of BI tools e.g. Analysis Server, Cognos, Oracle BI, SAP BW beneficial Strong background in data architecture, data mining, and data cleansing Experience in Azure Data Factory, Data Bricks, Data Lake Strong analytical skills and Agile and DevOps Team Experience a plusHenkel is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Henkel does not accept unsolicited resumes from search firms or employment agencies. Unsolicited referrals and resumes are considered Henkel property and therefore, Henkel will not pay a fee for any placement resulting from the receipt of an unsolicited referral. At Henkel’s request only, preferred vendors may be invited to refer talent for specific open positions. In these cases, a fully-executed agreement with Henkel must be in place and current. JOB ID: 190006OY Contract & Job type: Full Time, Regular Contact information for application-related questions: 1-866-836-7067" Jr. Data Scientist,"Herndon, VA 20170",Cognowiz llc,"Role Description: Cognowiz LLC is seeking a junior data scientist in the Northern Virginia areaThe Data Scientist will join a team responsible for developing advanced analytics products; applying data visualization and statistical programming tools to enterprise data to advance and enable the Department’s key mission outcomes. We prefer candidates with strong communication skills, knowledge and experience with fields related to data science, and a desire to learn more about new areas with applications to Data Science.Responsibility: · Ideal candidate should have a degree in a quantitative field (e.g., mathematics, computer science, physics, economics, engineering, statistics, operations research, quantitative social science, etc.).· Experience with data visualization tools, such as Tableau, Qlik, Power BI, d3.js, or equivalent.· Basic Knowledge on software development principles and architecture.· Good analytical and problem-solving abilities.· Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods.· Familiarity with programming for data analysis; ideally Python, SQL, or R.· Solid oral and written communication skills, especially around analytical concepts and methods.· Great work ethic and intellectual curiosity.· Knowledge of Cloud technologies such as AWS or Google Cloud.· Knowledge of any relational database such as My SQL.· Must be a team player with excellent communication and problem-solving skills and have experience working with customers across teams.Required Skills: · Bachelors degree· 2+ relevant experience within data science or analysis· Experience with programming languages such as Python, R, and VBA; and query languages such as SQL· Experience with data visualization tools, such as Tableau, Qlik, Power BI, d3.js and other web application technologies, or equivalent· Experience with SQL and NoSQL database technologies such as SQL Server, Oracle SQL·Proficiency with data extraction, transformation, and loading to support advanced analytics· Experience with a wide range of analytics techniques, such as statistics, machine learning, natural language processing, optimization, simulation, or closely related techniques·Strong strategic communication skillsJob Type: Full-timeSalary: $70,000.00 /hourWork Location:One location" Data Scientist/Machine Learning Expert,"McLean, VA",SphereOI Studios,"SphereOI helps clients succeed with advanced data analytics. Our custom framework creates purpose-driven competitive differentiators by linking advanced analytics technology to business opportunities and portfolio strategy. We keep the focus on what is most important as we work with clients to give them the practical skills to stand on their own in developing the future. This position is for a Data Scientist / Machine Learning Expert who will work in our studios as a member of our data science team. The position will support multiple clients over time, crossing a broad spectrum of industries. The pace is fast, but the technology and opportunities to experiment with new approaches are exciting. The position requires a significant proficiency with statistical science in the context of machine learning. The work involves exploration, experimentation, and implementation. The more varied your background, the better. Data, big and small, is a ubiquitous element, and familiarity with modern data architecture and query languages is important. This position will, over time, draw on your skills in NLP, demand forecasting, computer vision, cyber-physical systems, and deep/reinforcement learning. What You Will Be Doing: Learn new domains and problems. Experiment with models and data. Push the boundaries of ML in demand forecasting, computer vision, agent design, NLP, and other areas. Collaborate with other experts. Develop reference implementations of models and pipelines. Work in Python, possibly other languages (e.g. R, Java). Present at weekly demos and various sessions. Support production engineering teams and develop automated tests. What You Need for This Position: Talent for machine learning fundamentals << We stress the fundamentals An advanced degree in math, statistics, physics, economics or computer science is preferred Hands on coding experience using Python and SQL is preferredAbout SphereOI StudiosSphereOI Studios is an award winning digital studio that develops data responsive solutions with deep analytics and artificial intelligence. We believe that data science that aligns with business value can increase market share and pricing power, enhance customer engagement or completely transform a product category. We fuse data strategy with data science and design driven innovation to create customer technologies for commercial and federal customers." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,"Irvine, CA",Gallup,"Who we want: Are you committed to using your talents in research and advanced analytics to give global organizations critical advice? Are you a leader who applies your instincts and expertise to discover breakthroughs that are key to clients’ growth? Are you a driven professional who can manage multiple projects, set a standard of excellence and follow through on commitments for exceptional results? Do you instinctively connect with others, understand individuals’ needs and share your passion for analytics to achieve shared goals? Do you excel at building predictive models using various data sources and techniques to inform practical business decisions? What you will do:As a Gallup senior data scientist, you will help clients effectively use data to make better decisions. You will apply your knowledge of various statistical and machine-learning techniques to lead a wide variety of challenging projects — from designing custom client builds to automating solutions to the complicated problems clients face every day. You will partner with client teams to increase Gallup’s global impact by helping explain and predict large-scale social behavior (e.g., consumer spending, lifestyle trends, political stability, election outcomes, and employee performance and retention) using data from Gallup, the web, third parties (e.g., governments, IGOs and NGOs) and clients. You will mentor and develop other data scientists, helping them grow their technical and consulting skill sets. In short, you will be a senior leader who will help continue the development of data science at Gallup.Gallup’s unique data give you an unparalleled opportunity to use your creativity to explore new avenues of social research. George Gallup’s legacy — founded in 1936 — established Gallup’s gold standard in survey research methodology.What you need: Ph.D. required. A degree from a statistics, engineering, mathematics, computer science, computational social science, physics or operations research program preferred. Top Secret U.S. government clearance required At least 14 years of work experience (which can include years spent earning advanced degrees) Expert-level production coding in Python required Mastery in conducting analysis in Python and R required; additional analytic software experience a plus At least four years of experience building production-level machine learning and predictive analytics systems with data pipelines required A deep understanding of the mathematical fundamentals of machine learning and statistics, with an emphasis on nonparametric, nonlinear methods (e.g., random forests, support vector machines, neural networks) and natural language processing required At least one year of experience working within distributed systems and managing workflows in a cloud infrastructure required Must be currently authorized to work in the United States on a full-time basis Gallup is an equal opportunity/affirmative action employer that celebrates, supports and promotes diversity and inclusion. We will consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation or gender identity, or any other legally protected basis, in accordance with applicable law.Primary Location United States-Irvine" Lead Data Scientist,"Wellesley, MA 02481",AETNA,"Description: About the team. The Clinical Products data science team helps supercharge CVS-Aetna’s clinical programs to improve member health and lower costs. Given CVS-Aetna’s size, scope, and deep set of capacities, CVS-Aetna is an unparalleled platform to make a difference in healthcare in the US and beyond. The Clinical Products team has three main goals. First, CVS-Aetna is launching a series of clinical programs that use the resources of the combined CVS-Aetna, and our team delivers the advanced analytics to support those initiatives. Second, the team develops data-driven clinical recommendations that are delivered to members, their providers, and their caregivers. Finally, we build condition-specific models that help other parts of the company (e.g. pricing) better predict member care journeys. About the position. The Lead Data Scientist will be responsible for, end to end, projects that support one or more of the team’s three objectives. The role will lead a team that develops predictive models, works with clinical experts (e.g. doctors) to translate their subject matter expertise into machine learning models, sources data, and presents to technical and non-technical stakeholders. This role will also manage and be responsible for using the results of AB testing to improve the performance of the team’s statistical modeling and targeting. In addition, this role will also mentor other team members. 69097 Fundamental Components: Develops and/or uses algorithms and statistical predictive models, including advanced models. Brings clinical insights to inform predictive models: is skilled at reading academic clinically oriented literature and collaborating with clinical subject matter experts to inform predictive models. Performs analyses of structured and unstructured data to solve multiple and complex business problems. Utilizing advanced statistical techniques and mathematical analyses and specialized expertise in the Aetna and/or healthcare. Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques. Manages large and complex analytical projects from data exploration, model building, performance evaluation and testing Behaves as mentor to junior team members to provide technical advice Collaborates with business partners to develop technical /business approaches and new or enhanced technical tools Interacts with internal and external peers and management to share highly complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology / business solutions Background Experience: 7-10 or more years of progressively complex related experience Demonstrates proficiency in all areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and advanced in-depth specialization in some areas Solid understanding of health care industry, products, and systems Deep knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources Strong skills to effectively communicate and negotiate across the business and in the external health care environment Demonstrates strong ability to communicate technical concepts and implications to business partners Strong organizational, management and leadership skills Excellent analytical and problem-solving skills Clinically oriented background or professional experience is a plus. Potential Telework Position: NoPercent of Travel Required: 0 - 10%EEO Statement: Aetna is an Equal Opportunity, Affirmative Action EmployerBenefit Eligibility: Benefit eligibility may vary by position.Candidate Privacy Information: Aetna takes our candidate's data privacy seriously. At no time will any Aetna recruiter or employee request any financial or personal information (Social Security Number, Credit card information for direct deposit, etc.) from you via e-mail. Any requests for information will be discussed prior and will be conducted through a secure website provided by the recruiter. Should you be asked for such information, please notify us immediately." Data Scientist,"South San Francisco, CA 94080",GENENTECH,"The Position Mission As a Data Scientist, you will work closely with multi-disciplinary teams to solve complex data problems enabling PD to transform data into actionable insights. You will partner with IT and business stakeholders to co-create data and analytics enabled solutions that help our teams fulfill our mission: to do now what patients need next. What you’ll be working on Leverage business acumen and technical expertise to drive the quick creation of high-impact Prototypes/PoCs Advanced Data projects including predictive learning, neural networks, machine learning, anomaly detection, predictive analysis, exploratory data analysis and other data science practices Generate insights from data, enabling us to optimize business performance. Solve complex data problems and deliver the insight that helps to define our strategy and enable our organisation to reach our patients faster Collaborate in multidisciplinary agile teams/squads to collect requirements, user specifications, approvals, and verify functionality and usefulness prior to full development of solutions Collaborate with Data Engineers, Architects and Data & Analytics Specialists to build lasting solutions to our data modeling The ideal candidate Passionate about agile software processes, data-driven development, reliability, and experimentation Education in related fields (Computer Science, Computer Engineering, Mathematical Engineering, Information Systems) Knowledge of R or Python and its Data Science libraries Possesses practical experience with experiments (PoCs), machine learning, deep learning, Neural Networks and other areas of data science. Is an independent thinker, able to work autonomously, capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences A communicative person who values building strong relationships with colleagues. This position is not eligible for relocation Who We Are A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work. The next step is yours. To apply today, click on the ""Apply online"" button. Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page . Job Facts JOB FUNCTION Modelling & Simulation COMPANY/DIVISION Pharmaceuticals SCHEDULE Full time JOB TYPE Regular" Data Scientist,"Broomfield, CO 80021",SpotX,"Join SpotX as a Data Scientist. SpotX, an RTL Group company, is the leading video advertising platform unifying TV and digital video globally.How you'll make an immediate impact: Perform ad-hoc analyses and reporting for Operations and Engineering (HDFS, Spark, Kafka, Druid) Build mathematical, machine learning, and statistical models to discover actionable insights Develop proof-of-concept solutions for advanced reporting or automated decision-making Monitor, tune, and extend existing Data Science solutions/products Be a resource for the Data Analysis team for advanced reporting needs Retrieve, clean, transform and overlay 3rd-party data What we're looking for: Strong knowledge in Python and/or Scala as well as SQL Solid understanding of predictive analytics, statistical modeling, and data-mining (theory, algorithms, and application) Knowledge and experience: Regression, Random Forests, Support Vector Machines, Bagging, Boosting, Decision Trees, Clustering, Optimization, Stochastic Processes A track record of providing compelling insights based on data Able to make intelligent approximations and design effective, practical, and scalable mathematical models Able to identify assumptions and the limitations of models/algorithms and the impact on reporting and decision-making Exceptional organizational skills, attention to detail, and ability to maintain focus in a fast-paced environment Ability to communicate effectively in writing and verbally Experience with Spark and ""Big-Data"" is desirable When you join our team, we offer: A fast-paced, innovative company building best-in-class technology from 12 offices around the world A fun, casual, and collaborative culture with a commitment to work-life balance Unlimited PTO (work it out with your team first!), company closed from Christmas to New Years Comprehensive Benefits Package includes Medical, Dental, Vision, 401k matching program and education assistance Free breakfast Fridays, fully stocked snack wall, gym reimbursement, charitable donation matching program SpotX Core Values: Customer Service, Integrity, Respect, Initiative, Collaboration, Innovation and AdaptabilityVisit our About Us page to learn more." Senior Data Scientist,"Cincinnati, OH",ABC INFORMATION TECHNOLOGY GROUP,"Data Scientist who will support our customer’s product, sales, leadership and marketing teams with insights gained from analysing data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Roles and responsibilities.Job Type: Full-timeSalary: $49.00 to $60.00 /hourAdditional Compensation:Other formsWork Location:One locationSchedule:Monday to Friday" Data Scientist,"Boston, MA",Cohere Health,"Cohere Health is simplifying healthcare for patients, their doctors, and all those who are important in a patient's healthcare experience. Our focus is to enable an efficient, transparent patient journey where patient goals are central to decision-making. We are a mission-driven and fast-growing company obsessed with eliminating the wasteful friction patients and doctors experience, particularly for diagnoses that require expensive procedures or medications. To that end, we build products and services that ensure the appropriate plan of care is understood and expeditiously approved, so that patients and doctors can focus on health, rather than payment or administrative hassles. This is a great opportunity for an outstanding data science professional to go in-house at a Series A healthcare technology company and learn what it takes to show the value of our products and services. You will work closely with analytics leadership, product and IT to support decision-making, and will dig into a wide range of strategic, product, and operational problems. The work will be fast-paced and project-based, with evolving needs - requiring scrappiness, flexibility, curiosity, and grace under pressure. Your work will enable Cohere to make the right investments in a critical stage for our company. This role offers the potential to grow at Cohere in data science, or potentially move to other functions as well. You will contribute to healthcare analytics from the economic and quality perspective, help build an a company, as well as wear many hats. Our team values empowerment and is committed to developing our talent. ----------------- What you will do: ----------------- Work cross-functionally to design appropriate data use capabilities across a wide breadth of analytical needs Using your expertise in healthcare data to develop effect models to improve our product. Work with IT to define analytical requirements, assess data sources to get data in house and ready for use ----------------------------------------------- A good background for success at Cohere Health: ----------------------------------------------- 5-7 years analytical experience at company where using ML/ AI were critical to the mission, preferably a healthcare company or allied health organization Good communicator Proficient in R, SQL,Python and other common analytic/ data tools Strong knowledge of EMR data, SDoH, Claims, NLP use and other important healthcare related data sources Proficient in current modeling approaches in machine learning and AI such as decision trees and Med2Vec, Patient2vec and other innovative approaches to analyzing data Master's degree in STEM, public health, finance, economics, or other related field We can't wait to learn more about you and meet you at Cohere Health!" Data Scientist,"Stamford, CT",Henkel,"HENKEL IS FOR THOSE WHO STEP UP. DO YOU? At Henkel, you can make a difference and craft your career. That’s why you own your projects and take full responsibility from an early stage. Our unique brands in markets around the world open up countless opportunities to follow your convictions and explore new paths. If you have an entrepreneurial mindset that allows you to always think out of the box - take the chance and shape the digital future together with us. YOUR ROLE Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Developing reports, visualizations, or statistical analysis as required and develop processes and tools to monitor and analyze model performance and data accuracy. YOUR SKILLS Four year degree in Computer Sciences/Information Systems or related with at least 2-3 years of experience in the area of Data Warehousing and Business Intelligence. Knowledge of modern data warehousing concepts, data modelling and data management. Experience in relational databases (MS SQL, Teradata, Oracle, DB2) and good knowledge of SQL Experience in Azure Cloud technology and Big Data – Hadoop, Java, Python, Spark, Dremio, Tableau, Power Bi – extremely beneficial Knowledge of BI tools e.g. Analysis Server, Cognos, Oracle BI, SAP BW beneficial Strong background in data architecture, data mining, and data cleansing Experience in Azure Data Factory, Data Bricks, Data Lake Strong analytical skills and Agile and DevOps Team Experience a plusHenkel is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Henkel does not accept unsolicited resumes from search firms or employment agencies. Unsolicited referrals and resumes are considered Henkel property and therefore, Henkel will not pay a fee for any placement resulting from the receipt of an unsolicited referral. At Henkel’s request only, preferred vendors may be invited to refer talent for specific open positions. In these cases, a fully-executed agreement with Henkel must be in place and current. JOB ID: 190006OY Contract & Job type: Full Time, Regular Contact information for application-related questions: 1-866-836-7067" Geospatial Data Scientist,"Des Peres, MO",Saint Louis University,"Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. All About You 1. Provide geospatial data collection, mapping, analytics support to SLU faculty 2. Use knowledge of geographic information systems (GIS) technology to configure WebGIS/ GIS Server solutions, implement workflows, create and provision data content, collect data using GPS, UAVs, and other modern technologies, and provide GIS support to SLU faculty. 3. Participate in larger project teams providing support in the conception, construction, implementation and testing of GIS databases, applications, and production systems. Function Scientists Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. We welcome and encourage applications from minorities, women, protected veterans, and individuals with disabilities (including disabled veterans). If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847." "Associate Director, Data Scientist","Burbank, CA",OMD,"THE AGENCY OMG23 is the new Omnicom Media Group agency dedicated to Walt Disney Studios and Disney’s multiple television networks. At OMG23, we have the privilege of partnering with Disney on the planning, buying and implementation of its integrated ad campaigns for some of the entertainment industry’s most iconic brands. Our Walt Disney Studios team works on titles that include a wide variety of blockbuster films distributed under the Walt Disney Studios, Marvel Studios, Lucasfilm, Pixar Animation Studios, Walt Disney Animation Studios, 20th Century Fox, and Fox Searchlight banners. We are also proud to be Disney’s Agency of Record for their premier television networks including ABC, ABC News, Disney Channels, Freeform, National Geographic and FX. We live movies and TV. If you do too, see below for an opportunity to join our team. THE JOB The Associate Director, Data Science, helps deploy technology that empowers our strategy teams to understand consumers and what drives their behavior. Your work turns the path to purchase into a day-by-day, minute-by-minute reality for our clients. You’ll drive efficiency through integrated work powered by data and smart decisions through the entire entertainment consumption lifecycle. As a Data Scientist, you’ll work closely with the Group Director of Data Science to enable the Planning and Strategy teams to make better decisions through the use of customs applications. You’ll also coordinate with internal Disney Marketing Science teams to move their testing and learning agenda forward. You’ll work closely with a Data Modeler to ensure actionable outputs of analysis. Responsibilities include: Ability to understand client goals/objectives through the lens of data and collaborate on the development of data and audience-driven strategies and tactics Ensure integration and coordination between various internal teams by updating and informing them on the status of all account projects Stay current on the market (data partners and landscape), opportunities and emerging technologies Perform exploratory data analysis and data queries against outlined objectives, to ensure the availability of the right data and required sample sizes Run predictive modeling utilities to define and project/score audiences for deployment Evaluate model performance/model separation to determine cut-off points (in/out phase gains charts) and output resulting user pools for deployment Partner with client data science team to augment or develop new methodologies and utilities Ability to write clearly and concisely and present orally in an articulate and confident manner Check for accuracy, timeliness and quality of all outputs YOU We encourage you to apply if the below describes your experience and talents: 6 to 8 years of relevant experience Bachelor’s degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields Advanced quantitative degree is preferred Experience in statistical techniques such as: multivariate predictive modeling, multidimensional segmentation, factor analysis, lifetime value determinations, linear and logistic regression, CHAID analysis, latent class analysis, multinomial logistic regression, survival analysis, fractional factorial test design, cluster analysis, Markov Chains, econometric time series AR, MA, and ARIMA modeling Hands-on experience and proficiency in SQL, R, and Python Experience with Hadoop, Spark, and AWS computing Strong interpersonal communication Ability to collaborate and work as part of a team Knowledge of digital ad serving, tagging, and media a plus" Principal Data Scientist,"San Francisco, CA 94111 (Financial District area)",Catalyst,"Would you like to work with almost unlimited unstructured data solving difficult problems that make a big difference?We work with companies offering significant opportunities for professional advancement and personal growth, including management opportunities for high potential Data Science professionals, and environments where you can make a make a lasting difference by solving complex problems.Our marque client is seeking a talented data science lead who will be responsible for researching and identifying Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites. In this key role, you will implement these methods and devise appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of extensive sets of content and data. Further, you will explore existing data for insights and recommend additional sources of data for improvementsTechnical /Professional Skills & Competencies: Excellent understanding of ML, NLP, and statistical methodologies Excellent programming skills (Java/Python/R/Sas) Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation. Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies a plusEducation and Background: Bachelor's degree in Computer Science, Statistics,Technology, or Engineering, strongly preferredPlease note that this is a full-time role, offering excellent compensation, benefits, flexibility, great work-life balance for a global leader in their field.Job Type: Full-timeSalary: $200,000.00 to $300,000.00 /yearEducation:Bachelor's (Required)Additional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planSigning bonusPaid time offFlexible scheduleParental leaveProfessional development assistanceTuition reimbursementRelocation assistance" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Wildlife Insights Data Science Intern,"Seattle, WA 98112 (Madison Park area)",Conservation International,"Conservation International (CI) has been protecting nature for the benefit of all for over 30 years. Through science, policy, and partnerships, CI is helping build a healthier, more prosperous and more productive planet. POSITION SUMMARY Wildlife Insights is a new platform that aims to revolutionize wildlife conservation by providing cutting edge AI technology, a cloud-based data sharing platform and access to the world’s largest and most diverse camera trap dataset. By bringing together the latest in conservation technology, Wildlife Insights is enabling conservationists to leverage big data for wildlife conservation. The Wildlife Insights partners include Conservation International, Smithsonian Institution, Wildlife Conservation Society, North Carolina Museum of Natural Sciences, WWF, Map of Life, Zoological Society of London and Google. The Wildlife Insights team is looking for a motivated Data Science Intern to develop tools and materials to help new users overcome one of the largest barriers to sharing camera trap data - data standardization. To address this barrier, Wildlife Insights has established robust data standards that must be met by all incoming data. But for many prospective Wildlife Insights users, this means that they will need to transform data that they have already collected and processed into the Wildlife Insights data standard. The Data Science Intern will play an important role in enabling these prospective users to easily migrate their legacy data into Wildlife Insights. By helping to address a key data sharing barrier, the Data Science Intern will ultimately help to grow the Wildlife Insights database and our understanding of global wildlife populations. The Wildlife Insights Data Science Intern will have an opportunity to interact with researchers, protected area managers, and other conservationists across the world and collaborate with a dedicated team committed to designing solutions to advance wildlife conservation. This internship is a great opportunity for a mission-driven data scientist to apply their expertise to the conservation field! This is a paid 12 week internship based in Seattle, Washington. RESPONSIBILITIES The Data Science Intern will lead efforts to develop code, documentation, and other materials to help data providers transition from their current camera trap software to Wildlife Insights. There are several known camera trap data management software packages used by researchers, many of which are listed in this peer reviewed paper. The Data Science Intern will write code to transform data from these software and other popular data management techniques into the format required by Wildlife Insights. The intern will also help develop approaches and/or software to automate this process so that in the future, non-technical users can easily import their catalogued data into the Wildlife Insights platform. They will develop other materials (e.g. documentation, instructions or video guides) to help prospective users apply code to their own datasets. The intern will also be responsible for other program related tasks as requested by their supervisor. WORKING CONDITIONS This position will be based in Conservation International's Seattle office. QUALIFICATIONS Required Experience with R (preferred) or Python. Experience working with large datasets and databases Ability to work with highly interdisciplinary teams and with people of all levels of experience with technology Strong attention to detail Highly motivated to learn Strong verbal and written communication skills Experience and/or strong interest in issues related to conservation Must be a currently enrolled student or recently graduated Must be authorized to work in the US Able to work full time hours for 12 weeks at the Conservation International office in Seattle, WA. Preferred Experience working with camera trap data or other type of wildlife data Experience developing technical and user documentation Experience collaborating on coding projects, e.g. sharing code on Github Basic fluency in one or more of the following languages: Spanish, Portuguese, French. Please submit resume and cover letter. Conservation International Values We expect that all employees will embrace the values of our organization. Passion: We are inspired by nature and cherish the diversity of life in all of its forms. Respect: We respect and trust each other, and we embrace our diversity of cultures, talents, and experiences. Integrity: We act with integrity and are accountable for our actions. Optimism: We are optimistic about the future of life on Earth and are confident that, with our partners, we will achieve unprecedented conservation results. Courage: We tirelessly pursue our vision, taking bold action and persevering through challenges. Teamwork: We work together, recognizing that openness, collaboration and cooperation are fundamental to achieving a healthy and prosperous world for all. Equal Opportunity Employer Minorities/Women/Vets/Disabled" "Data Scientist, The Sims 4","Redwood City, CA 94065 (Dolphin area)",Electronic Arts,"Data Scientist, The Sims 4/ Global Analytics & Insights Location: Redwood City, California, United States About the Role: At Maxis, we thrive on outrageous thinking. It’s the fuel that inspires the best games in the world. We’re innovators and great storytellers. But it’s not just about amazing your peers — it’s about amazing yourself and our fans. Take risks, collaborate with brilliant minds and dare to dream big. Together, we can impact millions of players every day. As a Data Scientist on The Sims franchise, you’ll be handed the keys to massive volumes of player behavioral data and responsible for developing models and algorithms that meaningfully inform game design, feature prioritization, and product development. You’ll be working with a large but tight-knit studio of enthusiastic industry craftspeople from all walks of life. You’ll also join a group of experienced analysts and data scientists as a member of the embedded-and-dedicated Global Analytics & Insights team. We have an extremely unique player base, attracting a large, young, female-skewing audience. If you’re excited about creating the best possible experience for these players, come join us! Responsibilities: Research, design, implement and validate models and algorithms to analyze diverse sources of data Lead projects including: custom content classification, recommendation, segmentation, natural language processing and more Research and implement novel AI/ML approaches for new problems Use big data technologies to scale predictive models to millions of players Work closely with game development teams to deploy ML/AI applications seamlessly as part of production systems Derive actionable insights from data and communicate them throughout the organization in a clear, concise way Learn, implement and share new methodologies with our broader team Attributes: A demonstrated passion for applying data science to make business critical decisions and recommendations Hypothesis driven – using data to test ideas rigorously and objectively Strong programming skills in R and or Python and a commitment to automation wherever possible Understands the importance of good documentation and transferability of knowledge Evangelist for data democratization and empowerment of non-technical partners Able to create compelling communication for executives and translate complex technical topics to non-technical partners Flexible and adaptable while maintaining a positive attitude; views challenges as opportunities; tenacious and focused Ability to work collaboratively within the group and across business units/functions Ability to execute multiple projects and drive business results under tight deadlines Required Experience: 5+ years hands on experience in a data science role working on digital products Master’s degree required, preferred in Computer Science Proven experience analyzing extremely large, complex, multi-dimensional data sets with a variety of tools Demonstrated experience building, validating and deploying predictive models and algorithms to address real world problems. Preference for experience with several/all of the following techniques: Matrix factorization, collaborative filtering, k-means clustering, hierarchical clustering, bag of words models, TFIDF, random forest, linear regression, logistic regression, neural networks Demonstrated experience conducting and analyzing the results of complex controlled experiments, including A/B/n, multivariate, and multi-armed bandit tests Familiarity with time-series forecasting techniques Strong programming experience in either or both R and Python. Strong experience using SQL to query databases Preferred Experience with any of the following is a big plus: Big data technologies such as Hadoop, MapReduce, Hive, Pig Model production in Spark Application deployment using AWS, Virtual Machines, or Docker Demonstrated experience collaborating with engineering partners Familiarity with Snowflake data warehousing platform" Associate Data Scientist,"Boston, MA 02134 (Allston area)",Day Zero Diagnostics,"Day Zero Diagnostics is a bacterial genomics startup in Boston that is seeking to recruit a highly motivated data scientist to join our team. At Day Zero Diagnostics we are modernizing the way infectious diseases are diagnosed and treated by developing a rapid diagnostic that sequences the genomes of pathogenic bacteria, and then uses machine learning methods to provide the species ID and antibiotic resistance profile. We value intellectual curiosity and a strong work ethic. As an Associate Data Scientist, you will work with a senior machine learning research scientist to develop, implement, and optimize state-of-the-art prediction models from bacterial genomics data. We are looking for candidates with a deep interest in speed optimization that requires intimate knowledge of computing hardware and targeted software design. Candidates will gain experience in a multidisciplinary and fast-paced startup environment, and will have ample opportunities to acquire new skills, work closely with an accomplished team, and communicate results through patents, conference presentations, and peer-reviewed publications while working in a supportive and energetic environment. We value intellectual curiosity and a strong work ethic, and look for candidates who are both excited to contribute their expertise and eager to broaden their skillset to new areas. Responsibilities Under the direction of a senior machine learning research scientist, the applicant independently carries out various tasks, including: Develop and implement algorithms that speed up data processing and machine learning model research. Implement numerically optimized CPU/GPU kernels. Build statistical and analytical tools to research and support machine learning models. Develop, implement, and test machine learning models for predicting phenotypic traits from genomic sequences. Maintain organized, tested code and corresponding documentation. Present data within and outside of the company at meetings and symposia. Write, edit, and submit manuscripts/abstracts/grants detailing the results of the project. Work closely within the group and with outside collaborators. Maintain close communications with the team regarding progress. Requirements Bachelor's or Master’s Degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, or equiv. Fluency in high performance computing (e.g., parallel computing, memory management, OpenMP, CUDA) Fluency in Python, C/C++, Linux; Familiarity with PyTorch or TensorFlow, SQL and git Familiarity with neural network models (CNN, RNN, etc.) and machine learning best practices Familiarity with NGS data analysis, particularly ONT MinION data, helpful Highly motivated and independent, with the ability to work in a dynamic team environment Strong oral and written communications skills Excellent organizational skills and attention to detail" Data Scientist and Visualization Specialist,"Santa Clara Valley, CA 95014",Apple,"Summary Posted: Jan 22, 2020 Weekly Hours: 40 Role Number:200093152 We are seeking an enthusiastic teammate to join our small, inclusive, and dynamic team who will collaborates with a broad array of partners within Apple to distill data into actionable and intuitive visualizations that drive informed decisions. We work to understand challenging problems that arise during all stages of product design at Apple. The job requires fluency using statistics and visualizations to answer specific questions about datasets, proficient programming skills in R, Python, and/or MATLAB, and most importantly, a passion for creating informative visualizations and presentations to communicate results to all levels of the company. You are a person who approaches problem solving with curiosity and imagination, with a desire to learn new skills and a mindset that challenging questions are opportunities for insight. We are committed to professional development across all aspects of data visualization with mentorship and training opportunities both within and outside Apple. This includes, but is not limited to, providing team members opportunities to improve their skills in: graphic design, coding, visual arts, statistics, communication, and presentation. The DataViz team enables data-driven decision making by developing and performing analysis, modeling, and visualization of unstructured data for engineering and research design teams. Our unique position within the organization allows us to assist other teams on a wide range of products designed at Apple. Our work impacts products used by millions of people worldwide. Key Qualifications Fluency using statistics and visualizations to answer questions about data sets Effective communication skills. Specifically, explaining complex issues to a variety of audiences, considering the big picture when communicating, and can summarize technical details succinctly Strong programming skills in R, Python, and/or MATLAB. You have experience using these tools to import, clean, analyze, and visualize data to enable data-driven decision making Experience working with multivariate and/or “large” datasets using conventional statistical techniques. Our datasets are typically not large enough to employ machine learning techniques Strong interest in peer collaboration with a willingness to solicit input and accept feedback An appreciation of functional design or interested in developing your design aesthetic Experience or interest in analyzing and visualizing 3D data sets or enthusiastic about delving deeper into 3D data analysis and visualization. Our datasets include human anthropometric and biometric data, acoustic data, and inertial motion unit data (accelerometers, gyroscopes, altimeters) Familiar with SQL and database design or curious to learn more Familiar with Github and software development workflows or eager to adopt these software collaboration practices Ability to juggle multiple projects Excited to learn to communicate important information in an easily understandable manner Description As a member of this team-oriented, group, you will be an integral partner, working on the latest, most innovative Apple products together with many cross-functional teams. Your responsibilities will include some of the following activities: •Gathering large quantities of unstructured data from many different sources. •Conducting data exploration, QA/QC, visualization, statistical and data analyses, and modeling. •Creating custom algorithms for large datasets to enable visualizations that help decision makers quickly understand the data. •Defining data capture formats to enable useful and efficient analysis. •Collaborating with teams to automate processes, conduct systems analysis, and build visualization workflows by building and deploying software tools. •Creating systems for real-time or near real-time data analysis to improve precision machine performance in factories •Sharing results and concepts across the company through presentations and other communication channels •This small but growing team strongly inspires collaboration but also offers freedom and autonomy. Creative and outside-the-box thinking is required, and original ideas are supported by the team. Education & Experience Masters degree in an analytical field such as Human Computer Interaction, Climate or Environmental Science, Applied Math, Economics, Social Sciences, Engineering, Physics, Biological Sciences, Statistics, or Robotics along with 2+ years relevant work experience. Ph.D. degree preferred" Data Scientist Research Programmer,"Los Angeles, CA",RAND Corporation,"Job Type: Regular Position Description Responsibilities Work as a member of research teams to identify and answer important research questions Acquire a strong understanding of research topics and a thorough knowledge of the data and programming efforts involved Answer research questions by using appropriate data analytic techniques Drive the collection of new data and the refinement of existing data sources Communicate findings to both technical and non-technical staff Qualifications Expert knowledge of programming languages such as Python or R Experience working with distributed computing tools like Spark or Hadoop Experience with cloud platform providers like Amazon Web Services or Microsoft Azure Experience with machine learning, artificial intelligence, and data mining Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources A strong passion for empirical research and for answering hard questions using quantitative methods A flexible analytic approach that allows for results at varying levels of precision The successful candidate will be a highly motivated self-starter with the ability to solve data analysis problems independently Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner Education Requirements BA/BS in Applied Mathematics, Statistics, Operations Research, Computer Science, Engineering, Economics, or related field required; MA/MS preferred. Experience 2 years minimum relavant experience required, 3 or more years relevant experience preferred Security Clearance This position requires a security clearance or the ability to obtain one. Equal Opportunity Employer- minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity" Data Scientist,"Boulder, CO",Specialized Bicycle Components,"Do you have a passion for harnessing diverse datasets to drive consumer experiences and business outcomes? Are you simultaneously comfortable with statistical analysis/inference and modern deep learning and machine learning approaches? Can you combine a diverse array of data science techniques and tools to ultimately create personalized recommendation engines? If you were able to answer yes to these questions then we want to talk to you! We are searching for a Data Scientist to join our team and be a leader that will ultimately build a modern data function for Specialized! HOW YOU’LL MAKE A DIFFERENCE End-to-end deep learning/machine learning application: data analysis and idea conceptualization, model definition and refinement, creation of proof of concept, production development and deployment. Benchmark, investigate, and propose newest techniques and approaches to harnessing AI for personalized recommendations. Create specific algorithms to drive product and experience recommendations. Big data analysis and support of multiple teams, including product development and operations planning. Define necessary data architecture to support application of models/algorithms and data analysis. WHAT YOU NEED TO WIN Graduate degree and/or multiple years experience in Data Science or related field (Computer Science, Mathematics, Statistics, Engineering). 3-5 years experience with a variety of machine learning / deep learning techniques, including model development and production deployment. Experience with SQL/Python/R Experience with recommendation algorithms Experience with data analysis tools and techniques, particularly big data approaches Passion for cycling or outdoor industry First and foremost, we are riders. We share the core belief that bikes change lives. From product development and operations, to finance and marketing - every role at Specialized contributes to a culture of sustainable, global growth and innovation. We are always looking for passionate people to join the team who are interested in learning and growing far above the scope of the position. You’ll be challenged in many different ways and have a tremendous amount of opportunity. All with an eye towards growing people and expanding careers. You’ll be working alongside a passionate, driven team and there are some great benefits including daily lunch rides, onsite yoga classes, and all of the bagels your heart desires on Friday mornings. Come ride with us! See what we are up to on LinkedIn, Instagram, and most importantly, our #DogsofSpecialized." R&D Imagineer Princ - AI/Machine Learning Engineer,"Glendale, CA 91201 (Grand Central area)",Walt Disney Imagineering,"Specific tasks may include: Architecting machine learning software systems in areas such as real-time perception, language understanding, speech processing, anomaly detection and predictive analytics. Rapid prototyping and development of end to end machine learning solutions. Specification, design and development of data collection and annotation tools and pipelines. Specification, design and development of optimization tools for deployed systems. Integrate machine learning solutions with robotics and other deployed platforms. Perform testing and verification of systems under real-world conditions. 5+ years industry or academic experience (minimum 2+ years in machine learning or AI). Demonstrated experience independently designing, specifying, integrating, and testing real-time machine learning systems in challenging real-world environments. Familiarity with key machine learning libraries such as PyTorch, Tensorflow and Caffe. Ability to write, debug and review C, C++, and Python software. Experience applying different machine learning architectures (DNN, GAN, RNN, CNN, LSTM) to a wide variety of problems and data types. Experience taking applications from concept to solution: including data collection, annotation, model specification, training, and deployment. A positive, energetic and collaborative attitude necessary to provide support and guidance to peers. Proven track record of adaptability and creativity in a dynamic work environment. Proven ability to communicate ideas clearly and effectively. Strong desire to build practical machine learning solutions informed by (but not limited by) theoretical underpinnings. Experience with hardware accelerated machine learning processing pipelines. Demonstrated experience testing and validation of robust real-time machine learning algorithms in real world environments. Experience deploying machine learning solutions on embedded platforms. Master of Science or PhD in Computer Science or equivalent. ""We create happiness.” That’s our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you’ll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen! Walt Disney Imagineering is the master planning, creative development, design, engineering, production, project management, and research and development arm of The Walt Disney Company. Its talented corps of Imagineers is responsible for the creation - from concept initiation through installation - of all Disney Resorts, theme parks and attractions, real estate developments, regional entertainment venues, and new media projects. The Senior Machine Learning Engineer works with electrical, mechanical and software engineers, artists, and designers and is expected to be a critical team player integrating machine learning during design and development of platforms to enable new guest experiences.Required Education : Master of Science or PhD in Computer Science or equivalent. Preferred Education : 5+ years industry or academic experience (minimum 2+ years in machine learning or AI). Demonstrated experience independently designing, specifying, integrating, and testing real-time machine learning systems in challenging real-world environments. Familiarity with key machine learning libraries such as PyTorch, Tensorflow and Caffe. Ability to write, debug and review C, C++, and Python software. Experience applying different machine learning architectures (DNN, GAN, RNN, CNN, LSTM) to a wide variety of problems and data types. Experience taking applications from concept to solution: including data collection, annotation, model specification, training, and deployment. A positive, energetic and collaborative attitude necessary to provide support and guidance to peers. Proven track record of adaptability and creativity in a dynamic work environment. Proven ability to communicate ideas clearly and effectively. Strong desire to build practical machine learning solutions informed by (but not limited by) theoretical underpinnings. Company Overview : English" Data Scientist,"New York, NY 10003 (Flatiron District area)","EDO, Inc.","Hiring in Los Angeles, CA | New York, NY | San Francisco, CA Who We Are EDO is a data science software firm that develops analytics tools to make data accessible and actionable for the media and entertainment industry. Currently focused on film and TV, we work with many major movie studios and TV networks to help them forecast, market and distribute their content more effectively. Building from this strong base, we are growing into adjacent verticals. We are a team of world-class engineers and data scientists backed by top leaders in entertainment and technology. Our co-founders and executive leadership have an established track record with other successful ventures. What You Will Do Generate data-driven insights to help guide client decision-making Discover novel applications of data within entertainment Work on a small team and take ownership of high impact projects Work in a fast paced environment with continuous deployment and rapid product iteration Meet and work directly with media and entertainment clients to understand their needs and translate into product solutions Understand how the futures of media, entertainment and advertising are being defined by the innovative applications of technology and data Learn about how a startup is built from an early stage What We Are Looking For Self-driven individuals who take ownership of their work Ability to build products quickly and efficiently Strong understanding of data science practices and principles Interpersonal and communication skills to work on a small team Willingness to learn about our clients and their unique problems Experience with R or Python and comfort with databases Benefits Early-stage equity and competitive salary Medical, dental, and vision insurance Meals and snacks during work Movie tickets, fitness discounts, commuter subsidies, and Apple hardware" Investigative Data Scientist,"Alexandria, VA 20598",Knowesis Inc.,"Job Description: Our candidate will be performing advanced analytics and data visualization services to support duties associated with identifying, deterring, and investigating fraud, deficiency, waste and abuse, and monitoring the progress made to the implementation of corrections actions for our federal clients. Duties and responsibilities may include, but are not limited to:Perform qualitative and quantitative analysis, including but not limited to predictive modeling and data mining, relating to investigation and fraud detection in areas of pricing, business models, operational functions, workflow, processes, and other business-related issues. Proficient in advanced machine learning algorithms to solve regression, multi-classification and clustering problems.Ability working with both structured and unstructured data employing unsupervised learning models including isolation forest, k-means clustering, anomaly detection, and principal component analysis Able to handle Big Data problems utilizing unique technologies that store, manipulate, extract, and create features for processing and modeling Able to perform statistical modeling with multiple regression techniques, variable selection methods, time series analyses, and neural networks in Python, R, and/or SASUtilize Python or R in data analytics to collect, understand, transform, cleanse, store, and share data in a privacy preserving way Able to Implement machine learning algorithms with multidimensional data for classification and clustering problems and graphical networksObtain quantitative and qualitative data of business processes to analyze, determine and promote data driven decisions. Collaborate with functional areas to develop and maintain performance metrics, measurements, methods and targets. Evaluate operational efficiency and effectiveness. Provide program manager and client with analysis to inform of enterprise resource allocation decisions and assess institutional risk.Conduct surveys and studies that estimates future requirements in support of the Healthcare Business and Administration Department mission and goals. Support both routine and special projects by communicating with multiple teams to ensure requirements are clear and understood from both a functional and technical perspective.Contributes to program and task-related reports, briefings, justification and requests. Required Experience: Required Experience: Minimum of 5 years of demonstrated experience in statistics and statistical software (R, SAS, Python, SQL). Exposure and understanding of Machine Learning, Statistical Techniques (Baysian, Monte Carlo, etc.) 1-2 years of experience with data visualization software (Tableau certification preferred). Expert knowledge in Microsoft Office products and Sharepoint. Demonstrated experience in preparing and editing technical documentation. A qualified candidate will: Proficient in Python, R, SAS, Tableau, Shiny, SQL, and Hadoop ecosystem Exposure to distributed files frameworks including Hive and Spark Experience of leveraging machine learning algorithm to perform predictive modeling and forcasting. Proficient in data visualization tools to design report and graphs to identify autonomous patterns and behaviors Experience with text analytics including Natural Language Processing Strong background in mathematics, statistics, and probability Serve as the performance and analytical lead with support to the program manager and client responsible for planning, coordinating and directing programs, conducting surveys and studies, and special projects associated with Navy Surgeon General’s Healthcare Business and Administration Department. Be able to read, write, and speak English fluently and clearly in order to effectively communicate with all personnel for which they will interact. Have the ability to communicate with sufficient clarity to be readily understood by laypersons, senior officials, and Government staff. Possess sufficient initiative, interpersonal relationship skills and social sensitivity such that they can relate constructively to a variety of contacts from diverse backgrounds. Education: Master’s degree in Data Science, Statistics, Computer Science, or an associated technical discipline with five (5) years minimum experience in data analytics, including providing analytical management by planning, coordinating and directing programs, conducting surveys and studies, and special projects OR Bachelor’s degree in one of the above disciplines with eight (8) years minimum experience in data analytics, including providing analytical management by planning, coordinating and directing programs, conducting surveys and studies, and special projects. Government Security Clearance: SECRET or higher or able to obtain an Interim SECRET clearance. This contract requires a minimum of interim SECRET clearance. Work Location: Client Site in Alexandria, VA. From: Knowesis Inc." Data Scientist,"New York, NY",Latchable,"New York (Headquarters) Latch's data team is continuing to be build from the ground up. We plan to cover all aspects of the firm's data strategy: analysis, engineering, science, etc.. We are firm believers of bringing in smart people that can define the roles for themselves, so come join us and start creating greatness. Smart access isn’t about locking doors, it’s about opening up new possibilities. Latch is the world’s first fully integrated hardware and software system dedicated to bringing seamless access to every door in a modern building. We’re looking for the curious and the creative to join our team and help us change the way we access our most valued spaces. Responsibilities Understand the data gathered across the entire Latch organization Analyze the data and extract insights Collaborate with other teams in the company, both engineering and business counterparts Work closely with Data Analysts and Data Engineers to implement production ready systems Create and train models for predictions, forecasts, classification, fuzzy matching, etc. Requirements MS in Data Science, Computer Science, Math, Statistics, or a related technical field or equivalent practical experience 2+ years of data science experience Good level of understanding in Python, R or Scala Familiarity with SQL Excellent grasp of statistics Experience with notebook tools such as Jupyter, Zeppelin or Databricks Excellent communication skills Experience in building up a model from scratch and deploying it to production Experience in visualizing the data and sharing with users Preferred Experience with Map-Reduce technologies such as Spark or Hadoop Understanding of basic software engineering concepts Experiencing in productionizing machine learning models Acute sense of data analysis: being able to make sense out of many seemingly unrelated datasets A penchant for learning technology and helping out with establishing the data infrastructure Founded in 2014, Latch is a venture-backed, high-growth organization that's on a mission to change the way people open, manage, and share their spaces. Today, 1 in 10 new developments in the U.S. depend on our full-building smart access solution to meet the needs of residents and property managers. We are a team of just over 200 employees, all of whom are passionate self starters with unique backgrounds and unexpected stories. We offer unlimited time off, a competitive health package, and the opportunity to work in a creative, dynamic, and fast-paced office environment. We are located just a quick walk from both Hudson Yards and Penn Station in New York City. Applicant Privacy Notice" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Data Scientist, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of environments (including various databases, Linux servers, and Hadoop). You’ll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment.Expected Qualifications: Bachelor’s degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree strongly preferred 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analytics Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc. Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc. Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) Excellent communication skills Passion for extracting hidden insights and building machine learning systems that enhance business outcomes About GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Data Scientist,"Atlanta, GA",Contus,"We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company.We will rely on you to build data products to extract valuable business insights.In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.Your goal will be to help our company analyze trends to make better decisions. Required Skills: 3 Yrs to 6 Yrs Masters in Computer Science with Data Science Skills Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with common data science toolkits, such as R,Weka, NumPy, MatLab, etc. Great communication skills Experience with data visualisation tools, such as D3.js, GGplot,etc. Proficiency in using query languages such as SQL, Hive, etc. Experience with NoSQL databases, such as MongoDB Cassandra, HBase Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills Data-oriented personality Key Responsibilities: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams" Data Scientist,"San Antonio, TX",CyberFortress Insurance Services US,"San Antonio, TX or Austin, TX We’re looking for a data scientist to help us build the world a better model for cyber risk. If you love ML, solving huge problems, and are an experienced data scientist; you’ve come to the right place! Requirements 3+ years working as a data scientist Strong background in machine learning, computer science, statistics, and maths Works in Python Loves its numpy, pandas, matplotlib, scikit-learn, and keras packages A fast learner, a builder Familiar with relational and NoSQL cloud datastores Familiar with the Google Cloud Platform About CyberFortress CyberFortress was formed to be a new kind of company to tackle a big problem. Insurance is one of the most painful and hated experiences in modern life. We want to change that. But we don’t think we can change the insurance industry without first changing ourselves. So we have thrown out a lot of the startup playbook: No founder dictators. No managers. No vesting handcuffs. No work obsession leading to burnout. No living in a future that doesn’t exist. We are a community of owners engaged in a common project and governed through thoughtful and open debate rather than top-down managers. We want every employee-owner to have a rich life of which work is an integral and fulfilling part." Data Scientist,"Washington, DC",Assent Advisory Group,"Job Description: AAG is looking for a full time Data Scientist to support the development, testing, and deployment of analytical tools. The data scientist will collaborate with a diverse program team to provide expertise to Public Sector Agencies. Fantastic work/life balance on long-term engagements, assisting Public Sector Agencies become audit ready, improve their internal control environment, and standardize business processes. Join a growing, team-oriented firm, focused on both personal and professional growth- while delivering first-class services to our Government clients. Experience: 2-7 years of experience working with US Government programs Experience with text mining and natural language processing Predictive Analytics experience Experience with data visualization tools (e.g. Tableau, ggplot2, Shiny, etc.) R Studio, and/or Python experience Experience with supervised learning algorithms such as linear/logistic regression Secret ClearanceEducation: Bachelor’s (Required) Degree in Business Analytics, Mathematics or Computer Science (Recommended)Licenses: MCSE, CAP, SAS (Preferred) Paid time off, Health and Dental insurance, Retirement benefits, Flexible schedules" Data Scientist,"Sunnyvale, CA 94085 (East Murphy area)",Bosch Group,"Company Description The Bosch Center for Artificial Intelligence provides services in AI technologies to Bosch’s business units and plants. The center works in collaboration with a large team of researchers, engineers, and software service providers. Our data mining methods and solutions are implemented in a modern distributed architecture in order to scale up to very large data sets. Artificial intelligence technologies are impacting Bosch’s products and services in many domains: manufacturing, predictive maintenance, vehicle diagnostics, supply chain, large-scale simulations, etc. This is a technical position for someone who is skilled at bringing together disparate technologies to solve business problems. Job Description Execute complex data science / data engineering projects that have a significant impact on Bosch global business. Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers. Collaborate with product, engineering, and marketing teams across many Bosch business domains (automotive, industrial, internet of things) to translate business needs into technical solutions Select and apply appropriate statistical, machine learning, and computing methods to large-scale, high-dimensional data Develop analytic methods for decision support in various Bosch businesses Stay current with the latest research and technology and communicate your knowledge throughout the enterprise Take responsibility for preparing data for analysis, review data preparation/ETL code and provide critical feedback on issues of data integrity Contribute to Bosch's patent portfolio Up to 10% travel may be required. Qualifications Basic Qualifications: M.S. in Computer Science, or Statistics 2+ year programming experience in at least 1 of the following: Python, Java, Scala, R, C++ Preferred Qualifications: Ph.D. in Computer Science, Statistics 2+ years professional work experience in Data Science Strong background in in statistics, machine learning, or big data processing Experience working with big data tool chains (e.g. Hadoop & Spark ecosystems) Experience with neural networks and deep learning methods Strong analytical and problem solving skills Excellent communication skills Additional Information BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives FIRST Robotics (For Inspiration and Recognition of Science and Technology) AWIM (A World In Motion) By choice, we are committed to a diverse workforce – EOE/Protected Veteran/Disabled." Entry Level Data Scientist,"Bethesda, MD 20817",CACI,"Job Description What You’ll Get to Do: Provide engineering and physical insight into mechanical and marine systems for a data science team Support root cause analysis of ship system under-performance or detected anomalies Apply engineering principles to identify trends and events in complex ship data Develop hypothesis and goals for independent investigations Communicate results through reports and presentations to a non-technical audience You’ll Bring These Qualifications: A Secret clearance is the minimum requirement to begin employment As a requirement of continued employment you will be required to obtain a Secret Clearance Bachelor’s Degree in Marine, Mechanical, or related engineering field Comfortable with Python for data analysis Experience with signal processing or time series analysis Knowledge of numerical and optimization methods These Qualifications Would be Nice to Have: Currently hold an active Secret Security Clearance Knowledge of fluids, aerodynamics, thermodynamics, or structures Experience with parallel or GPU computing Interest in data science, machine learning, or deep learning concepts What We Can Offer You: We’ve been named a Best Place to Work by the Washington Post. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive benefits and learning and development opportunities. We are mission-oriented and ever vigilant in aligning our solutions with the nation’s highest priorities. For over 55 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success. Job Location US-Bethesda-MD-MARYLAND SUBURBAN CACI employs a diverse range of talent to create an environment that fuels innovation and fosters continuous improvement and success. At CACI, you will have the opportunity to make an immediate impact by providing information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers. CACI is proud to provide dynamic careers for employees worldwide. CACI is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities." Data Science Intern,"San Mateo, CA",Carta Healthcare,"At Carta, we design products that transform the way hospitals use data to deliver care. We make analyzing data fast, easy, and useful for everyone. We're looking for Data Scientists skilled at rapid iteration and excited about solving problems that can save lives. This is a startup role, where we will ask you to wear many hats and solve many different types of problems. Best of all, when we say Data Science Internship, we mean Data Science internship--no grunt work, no code cleanup, no bug fixes. Like kaggle, you'll be solving incredibly interesting Data Science puzzles but, unlike kaggle, every puzzle you solve will measurably help save people's lives and save our healthcare system. We'll give you a unique experience to see how far you can push your Data Science skills that you won't be able to find anywhere else. You love solving complex engineering problems, by creating beautiful, and well-tested algorithms. You're a positive individual who leads by example, drives conceptual thinking, and brings a curiosity and experimental approach to solving engineering challenges. You enjoy building new features and writing elegant code. If this describes you--you belong at Carta. We have open positions in Fall and Winter and we will be reaching out to you in July regarding this role. Excited to talk to you!" Data Scientist,"Herndon, VA",Jacobs,"Be part of an exciting team dedicated to keeping America safe at home and abroad. KeyW has an immediate need for a Data Scientist to support our customer’s mission researching new and innovative ways to detect botnets, as well as methods to automatically discover and classify devices and infrastructure in botnet infected networks using large quantities of cyber security data.Responsibilities:Working with a variety of both structured and unstructured data sources. Producing novel and innovative research into anomaly detection, classification, discovery, and pattern-of-life from large cyber security data sets. Working with developers to scale prototyped machine learning applications in distributed computing platforms such as Spark. Communicating findings to a non-technical audience of decision makers. Collaborating with an interdisciplinary team of data scientists, software engineers, dev ops engineers, and subject matter experts. Qualifications Bachelor's Degree in a quantitative field (e.g., statistics, operations research, computer science, mathematics, physics, computational chemistry/biology, engineering, quantitative social sciences) and five (5) to seven (7) years of experience or Master's Degree with three (3) to five (5) years of experience. Programming experience in Python, Scala, Java or R - Proficiency with query languages (SQL). Proven expertise in identifying supervised and unsupervised machine learning algorithms to apply to new types of data with actionable results. Ability to produce fundamental research results and objectives with minimal technical supervision.Preferred Qualifications: Experience creating proof-of-concept visualizations to convey results to non-technical audiences (e.g., Tableau, D3, Matplotlib, R GGplot). Experience with distributed computing (e.g., Map-Reduce, Spark, and other technologies in the Hadoop ecosystem). Experience applying machine learning algorithms to large (TB/PB scale) data sets. Experience with deep learning architectures and frameworks (e.g., Caffe, TensorFlow, Keras).Clearance:Position requires a Top Secret security clearance, based on current background investigation (SBI), as well as the favorable completion of polygraph. Clearance and polygraph processing will be completed by the U.S. Government. Recruiting Point of Contact: john.Schumacher.ctr@jacobs.comJacobs is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. Learn more about your rights under Federal EEO laws and supplemental language ." Data Scientist,"Raleigh, NC 27601",Cognizant Technology Solutions,"Qualification: Science / Engineering Graduate Skills : 7+ years’ experience in data analytics, data science, quantitative analysis using statistical computer languages (R, Python, SLQ, etc.) to draw insights from large data sets 4+ years of Python/PySpark development in complex big data environments (data warehouse, data lake, Hadoop) Experience with variety of machine learning and advanced statistical techniques Capital markets and/or money center bank experience Bachelor’s degree in computer science, engineering, mathematics or other quantitative discipline Employee Status : Full Time Employee Shift : Day Job Travel : No Job Posting : Feb 12 2020 About Cognizant Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 193 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @USJobsCognizant. Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network assists Veterans in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender, identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. If you have a disability that requires a reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information." Senior Data Analyst,"Baltimore, MD","General Healthcare Resources, Inc.","Sr. Data Analyst / Healthcare / Power BI Interested in working for a well-established, Primary Care Medical Group that offers a wide variety of clinical services? Do you want to work for an organization that has been recognized regionally for providing the highest level of quality patient care for over 20 years?Are you a Data Analyst that brings strong Power BI experience and wants to focus more on machine learning/predictive analytics? Do you have a desire to analyze diverse data sets that help derive meaningful clinical insights and lead to improved metrics for an under served patient population?If you answered yes to these questions, please consider applying today!Schedule: Monday – Friday, flexible hours, ability to work remotely up to 2 days per weekCompensation: $75,000-$100,000/yr, dependent on experienceLucrative bonus structure that is paid out quarterlyExtensive benefits package including generous PTO, affordable healthcare coverage, etc.Sr. Data Analyst Qualifications: Proven ability to utilize Power BI analytics tools, requiredBachelor’s Degree in Information Systems or related field, or equivalent work experience3+ years of experience as a Data Analyst in a Healthcare setting, highly preferredTechnical knowledge of SQL, querying and data warehousingAbility to analyze and derive insights from diverse data sets, preferably clinical/quality/financial dataJob Type: Full-timeSalary: $75,000.00 to $100,000.00 /yearExperience:Power BI: 2 years (Required)SQL: 2 years (Required)Healthcare data analysis: 2 years (Required)Additional Compensation:Other formsWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleTuition reimbursementOtherSchedule:Monday to FridayNo weekends" Data Scientist / Quantitative Researcher – High Frequency Futures,"Chicago, IL 60604 (The Loop area)",Wolverine Trading,"We are looking for highly skilled and experienced individuals to join a research effort focused on generating high frequency trading alphas in the futures markets. The ideal candidate has direct experience in the alpha research process and understands the workflow from idea generation to production implementation. This opportunity will provide the right candidate the chance to have a large impact on the direction and productivity of a newly formed effort within a successful proprietary trading firm. Responsibilities Conduct financial data analysis on large datasets to generate profitable trading alphas. Define key metrics for model validation. Back testing and production performance monitoring. Contribute to in-house data analysis packages and research framework development. Acquisition of new data sets and cleaning/maintenance of new and existing data sets.Requirements At least 2+ years of experience generating or implementing short-term trading alphas into production trading strategies. Advanced knowledge of modern statistical and machine learning techniques. Proficiency in a scripting language such as Python, R, or MATLAB. Proficiency in at least one statistical package and one machine learning package in one of the above languages. Demonstrated experience working with tick data. Degree in a quantitative discipline such as Statistics, Computer Science, Mathematics, Engineering, etc. Experience developing software systems an in object oriented language is a plus.About Wolverine Founded in 1994, the Wolverine companies comprise a number of diversified financial institutions specializing in proprietary trading, asset management, order execution services, and technology solutions. We are recognized as a market leader in derivatives valuation, trading, and value-added order execution across global equity, options, and futures markets. With a focus on innovation, achievement, and integrity, we take pride in serving the interests of both our clients and colleagues. The Wolverine companies are headquartered in Chicago with offices in New York and San Francisco and a proprietary trading affiliate office located in London. Sponsorship is not available for this position. Are you a returning applicant? Previous Applicants: Email: Password: If you do not remember your password click here." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Research Data Scientist,"Sacramento, CA 95815 (Point West area)",Covered California,"At Covered California, we recognize our employees are our most valuable asset. Our employees are the vital link that ensures that our vision, mission and values are fully realized. We have a variety of career fields that help make a difference in the lives of Californians, and we’re looking for talented and enthusiastic individuals to join our team.Are you passionate about big data? Are you looking for a career where you can make a difference? Are you well versed in statistical or data analytics software? Do you have experience managing original research projects?The Covered California Evaluation Research team is seeking an experienced and professional Senior Research Specialist to join the team.This opportunity will bring data science and quantitative research methods to a cutting-edge, applied research division working to implement one of the largest domestic policy interventions in the last several decades of U.S. health care policy. The Senior Research Scientist will have ongoing exposure to high stakes projects as well as executive level stakeholders.The classification for this role is a RESEARCH SCIENTIST IIIEmployee BenefitsCovered California provides incredible benefits for our employees, including healthcare, retirement and savings, work life services, leave benefits, FREE PARKING, on-site gym, and work life balance. To learn more, copy and paste this link into your browser: http://hbex.coveredca.com/jobs/benefits/Application Deadline: 3/9/2020 @ 11:59 pm PSTNote: New to state civil service employees are typically hired at the minimum of the salary range.Job Type: Full-timeSalary: $7,257.00 to $9,084.00 /monthExperience:SAS: 1 year (Preferred)Data Science: 1 year (Preferred)FORECASTING: 1 year (Preferred)ORIGINAL RESEARCH PROJECT MANAGEMENT: 1 year (Preferred)RESEARCH PROJECTS: 1 year (Required)Statistical Analysis: 1 year (Required)ECONOMETRICS: 1 year (Preferred)Survey Design: 1 year (Preferred)Work Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleParental leaveProfessional development assistanceOtherSchedule:Monday to Friday" Data Scientist,"Long Island City, NY 11101",Altice USA,"Altice USA (NYSE: ATUS) is one of the largest broadband communications and video services providers in the United States, delivering broadband, pay television, telephony services, proprietary content and advertising services to approximately 4.9 million Residential and Business customers across 21 states through its Optimum and Suddenlink brands. From high-speed broadband and ultra-HD video, to digital advertising solutions, local news and voice offerings, we are making connections possible around the country - to businesses, to consumers, to communities, to schools, to hospitals, and everyone in between. Join Altice USA’s Data Science team to deliver AI as a service across various teams. To develop AI solutions for internal processes and products you will: prepare big data, select appropriate statistical and machine learning techniques, build & validate models, evaluate models in light of objectives, deploy completed models, and maintain models by identifying model drift and retraining models. You will partner with other data scientists, data engineers, and application developers. A successful candidate will be a person who is curious, is a self-learner, wants to innovate, and can clearly communicate concepts and results. Bachelor’s degree with 2+ years of experience or recent Master’s degree graduate in a Data Science related field. Ability to apply probability, algebra, Bayesian inference, frequentist statistics, machine learning, reinforcement learning, and optimization techniques to solve business objectives. Entry level proficiency in predictive modeling, including comprehension of theory, modeling/identification strategies, and limitations and pitfalls. Entry level proficiency in machine learning algorithms and concepts. Demonstrates basic computational skills and level of experience using statistical programming languages R or Python. Entry level proficiency in SQL & NoSQL querying and Python coding to wrangle and explore big data. Entry level proficiency in visualization tools, such as ggplot2, plotly, or Tableau to explore big data. Strong ability to conduct meta-analysis literature reviews. Experience with probabilistic graphical models, Bayesian networks, deep learning, reinforcement learning, time series, or active learning is a plus. Experience with cloud computing platforms, such as Open Stack, Google Compute Engine, or EC2 is a plus. Experience with big data platforms, such as Neo4j, Spark, Big Query, Hadoop, Azure, or AWS is a plus. Experience with Google Cloud Platform is a plus. Experience with the CRISP-DM process is a plus. Experience with customer analytics concepts, such as CLV modeling, churn modeling, real-time customer evaluation, and recommendation engines is a plus. Altice USA is an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law Altice USA, Inc. collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law." Undergraduate Internship/Co-op Program - Data Scientist,"Washington, DC",Central Intelligence Agency,"As a Data Scientist Undergraduate Intern for the CIA, you will work side-by-side with other Data Scientists to organize and interpret data to inform US decision makers, drive successful operations and shape CIA technology and resource investments. Through CIA's global mission, the Agency has access to unique and highly specialized data sets. You will work with advanced hardware, software and techniques to develop computational algorithms and statistical methods that find patterns and relationships in large volumes of data. Data Scientists clearly communicate their conclusions to a diverse audience and become experts through Agency-sponsored continuing education, attendance at academic and technical conferences as well as collaboration with the Intelligence Community. Offices of the CIA – Directorate of Digital Innovation The Directorate of Digital Innovation (DDI) is at the forefront of defining the future of digital expertise within the CIA. DDI focuses on developing the workforce with cutting-edge skills, investing in IT infrastructure, and modernizing the way the Agency does business. DDI officers help accelerate the integration of innovative methods and tools to enhance the CIA's cyber and digital capabilities on a global scale and ultimately help safeguard our nation. Learn more about the Directorate of Digital Innovation. See our work in action: Life at CIA In addition to a comprehensive benefits package, the CIA offers exciting career opportunities and a dynamic environment. We're on the forefront of world-altering events – as they happen. So working here isn't just a job, it's a mindset and a lifestyle. US citizenship required (dual-national US citizens eligible). All positions require relocation to the Washington, DC metro area. Minimum Qualifications: Full-time student pursuing a Bachelor's degree in a technical field GPA of at least 3.0 on a 4-point scale Availability to work two 90-day tours prior to graduation Attending school on a full-time basis before/following this internship Creativity Initiative Integrity Leadership abilities Problem solving skills Ability to work in a diverse team environment Desired Qualifications: Interest or experience in a science, technology, engineering or mathematics (STEM) related field, such as: Computational social science Computer science Data analytics Economics Engineering Geospatial analysis Mathematics Operations research Quantitative finance Statistics All applicants must successfully complete: A thorough medical and psychological exam A polygraph interview A comprehensive background investigation To be considered suitable for Agency employment, applicants must generally not have used illegal drugs within the last 12 months. The issue of illegal drug use prior to 12 months ago is carefully evaluated during the medical and security processing." Data Scientist/Condition Based Monitoring Engineer,"Houston, TX","Bergaila & Associates, Inc.","Overview: We are currently seeking a Data Scientist/Condition Based Monitoring Engineer in Houston, TX. Our client is a leading worldwide provider of equipment and components used in oil and gas drilling and production operations, oilfield services, and supply chain integration services to the upstream oil and gas industry. Responsibilities: Reporting to the Director of R&D, the Data Scientist / Condition Based Monitoring Engineer will determine sensor deployment to increase the uptime of completions equipment for our customers. Use data mining, machine learning and other tools to design and develop recommendation engines, predictive models, scoring algorithms and other data products which drive user segmentation, engagement, retention, monetization to support our customers. DUTIES & RESPONSIBILITIES:Perform process and controls analysis using Failure Mode and Criticality Effects Analysis and other applicable methodsResearch and develop cutting edge analytics projects from concept to marketPerform calculations for energy analysis, fluid flow, velocity, and others as requiredDesign simulation and test methods to prove system designsDesign and build analytical models, including diagnostic, descriptive, prescriptive, and predictive analytics for equipment operating in the fieldDetermine opportunities and needs around the use of machine and deep learning for help in prescriptive and predictive analytics, automation, and model trainingWork with technology team to design scalable models and deploy models into the real-worldDiscover, clean, and transform data as neededPerform advanced statistical analysesCoordinate with engineering teams and work alongside engineering teams as a trusted partnerSpecify control components such as valve actuators for mobile equipmentSelect and size instrument and sensors equipmentWork closely across internal departments providing value added solutions for our customersWork closely with third-party vendors while building prototypes for testingOther tasks as required Qualifications:Masters Degree in Computer Science, Engineering, Statistics or other related area of study; PhD in Computer Science, Engineering, Statistics or other related area of study is strongly preferred 8+ years' experience preferredExperience working with formal project management methodologies is preferredStrong quantitative background with applied statistics skills, such as distributions, statistical testing, regression, etc.Familiarity with predictive modeling, machine learning, and data mining techniques and algorithmsExperience with common data science toolkits, such as Python, R, MatLab, etc. Excellence in at least one of these is expectedData visualization tools, such as GGplot, Tableau, D3.js is preferredScripting language experience, such as Java, Perl, PHP, or Python is preferredProficiency with SQLHadoop/Hive/Pig/Spark is a plusETL workflows and scheduling is a plusStrong analytical, organizational, and problem-solving skillsStrong interpersonal, presentation, and communication skills, both verbal and written along with an understanding of how to present results such that they are meaningful across multiple levels of managementAbility to function in a consultative role and lead a team or projectAbility to effectively teach and train fellow team members on models, processes or toolsAbility to collaborate and coordinate with multiple teams and team membersMust be able to meet deadlines and work with little or no supervisionStrong quantitative background with applied statistics skills, such as distributions, statistical testing, regression, etc." Data Scientist,"Portland, OR",Kinship,"A BIT ABOUT OUR DATA SCIENCE & ANALYTICS TEAM Kinship's Data Science & Analytics team is core to our strategy. We're using digital, data and customer insights to transform our business by finding answers to problems that we've often never asked ourselves before. Our vast data assets are being combined to build a 360° view of pets and pet owners to not only power Kinship's businesses but also influence the next great ideas in the pet care space. This role will be key in helping us understand the power of our data, and how this translates into value for our company, our pets, and pet owners everywhere. Frequently the projects will be ambiguous, but that's part of the fun; you will determine the best way to leverage our data to tell the right story for any given audience. HOW YOU'LL CREATE A BETTER WORLD FOR PETS Apply advanced analytics & data science approaches to understand and predict pet and pet owner behaviors Collaborate with internal and external teams to ensure we focus on pet-centric product and service recommendations Support new pet technology businesses and partners by generating actionable insights from our data assets Develop compelling stories that provide insight into the drivers of business performance and pet/pet owner behavior WHO WE NEED TO CHART THE FUTURE OF PET CARE We strive to hire people who are passionate about our mission: Shaping the Future of Pet Care. For all of our Kinship roles, we look for candidates who exemplify our core values. We believe what we do is just as important as how we do it, and we aim to hire people who are: Optimistic Purposefully Inquisitive Open to All And for this role, we hope you have the following skills we require to knock it out of the dog park: Truly inspired by, and want to live, our purpose of creating a better world for pets. 4+ years' experience in a data science role handling varied and complex data Varied technical experience in delivering statistical analytics, data science and insight on large-scale consumer data sets across multiple sectors, including packaged goods and retail Hands-on experience with Python is required; Familiarity with PySpark is also desirable Comfortable with ambiguity, with a passion for collaboration to achieve objectives A Bachelor's degree in quantitative field (economics, statistics, business, computer science) or equivalent experience Passion for growing and strengthening a business using data driven approaches Familiarity with cloud-based computing services e.g. AWS, Databricks, etc. Enjoys explaining how technical concepts to both non-technical and technical stakeholders. WHY JOIN US? We offer our associates a unique opportunity to have a completely customizable career within pet care. Through Kinship you will work with and learn from a community of industry executives, pet partners, entrepreneurs, and fellow associates across our startup investment companies, outside partners, and in Mars Petcare. Our nimble and flexible approach to work allows you to make an immediate impact across businesses, while learning new skills at every stage. The diversity of our work opens doors to big opportunities and unlocks enormous potential for countless career experiences in pet care. Join us in our mission to chart the future of pet care, alongside the industry's brightest minds. Kinship's offices are global, and so are our associates. We are located in NYC, San Francisco, Portland, London, Helsinki, Shanghai, and in Moscow. Many of us flex between our dog-friendly hubs and our home offices. Today, Kinship offers exceptional benefits for you, your family, and your pets, generous paid time off, exponential opportunities to build a career within pet care, and progressive reward packages. Interested? Let's take big strides, together." Data Scientist,"Houston, TX",CGG,"CGG is a recognized leader in subsurface imaging and our international teams are dedicated to solving our clients’ complex challenges. Come and join us to help build the most stunning images of the Earth's subsurface, using our massive computers capability. Thanks to our talented people and in-house technology, CGG is unique in the geoscience sector. Job Description CGG is currently looking for a creative and results-focused individual who enjoys working on open-ended problems. Your customers are world-class seismic imagers who strive to image the subsurface with a high degree of accuracy and resolution. Your challenge is to analyze the computational activities and demands of seismic imaging and, with your insights, propose solutions and applications for realms widely ranging from resource scheduling and allocations to automation of imaging-related computations in our HPC environment. In a nutshell, we expect you to propose solutions to known problems and also identify new areas where you can add value with your expertise. We want people who can work with a team to decide what to look for, and who also have the technical ability to go get it. Interest in data mining and machine learning is key, since these are the two areas where you may specialize. You will participate as an engineer on a development team, writing, testing, and deploying code to achieve your goals. We want you if you are an independent thinker and capable of analyzing requirements, extracting data for analysis, and developing algorithms and tools. We process seismic data at the petascale and warehouse information at the terascale. The stakes are high, but your impact can be higher. Must have current U.S. work authorization or qualify for sponsorship Qualifications Ph.D.in Computer Science, Math, Statistics, Physics or a closely related field but an equivalent combination of educationand experience will be considered Proven Machine Learning experience Professional experience with Deep Learning Neural Network building Demonstrated experience with Deep Learning Framework such as Tensorflow and Keras Experience and/or education in at least one of the fields of Big Data, Data Mining, Predictive/Prescriptive Analytics, Optimization, Exploratory Analysis & Visualization Knowledge of relational databases, data modeling, and schema normalization techniques Familiar with SQL Passion for solving complex data engineering and modeling tasks Ability to perform testing based on different hypotheses to determine the impact on key performance indicators Excellent analytical skills and the ability to work in a collaborative team environment Preferred: Experience in programming (high performance computing is a plus) and developing databases Knowledge and experience with UNIX (Linux), Java, and XML Knowledge of Perl, R, and Spark Expertise in designing and implementing efficient algorithms We wish to thank all applicants for their interest; however, only those candidates selected for an interview will be contacted. EOE Our focus on performance and passion for innovation are powered by people Our greatest resource is you Additional Information All your information will be kept confidential according to EEO guidelines. I'm interested" Data Scientist (NYC),"New York, NY",IBKR,"------------------------------------ Job Description and Responsibilities ------------------------------------ Interactive Brokers Group (IBG) is looking for a junior Data Scientist. The successful candidate will execute analytical tasks on large data sets to support decision makers and provide insight and reports about our platforms. The data scientist role will use data to help us better understand who our clients are, how they engage with our products and services and how we can better serve them by identifying interesting and useful trends in our data. You will make an impact by using your passion for data and analysis to generate actionable insights that we will use to improve the experience for our clients. The position responsibilities include but are not limited to: Collect and analyze various telemetry and behavioral data Produce daily metrics and reports Clean and prepare data for Machine Learning and A.I. Assist with designing and running A/B tests Automate frequently used reporting and data analysis workflows Work closely with software engineers and architects to extract, transform and standardize data for optimal use for analytic tools -------------- Qualifications -------------- Bachelors in Computer Science, Mathematics, Statistics or related fields; Masters strongly preferred 2+ years' experience in a data science or data analysis role 2+ years of Java coding experience 2+ years mining and analyzing data sets to extract meaningful trends, producing meaningful and actionable reports Experience using statistical programming languages, machine learning and other toolkits and techniques for analyzing large, complex datasets Technical proficiency with transforming structured and unstructured data sets Strong analytical skills, attention to detail and accuracy Expert problem solving skills and creative thinking ability This position is not sponsoring for employment authorization to work in the U.S. ---------------- Company Overview ---------------- Interactive Brokers (""IBKR""), a subsidiary of publicly-traded Interactive Brokers Group, Inc., based in Greenwich, Connecticut (NASDAQ: IBKR) is a low-cost provider of trade execution and clearing services for active traders, institutional investors, financial advisors and introducing brokers. IBKR's premier technology provides electronic access to stocks, options, futures, forex, bonds, and funds worldwide from a single IBKR Integrated Investment account. IBKR is one of the largest online brokers by trade volume and is consistently ranked at the top of its field. Our employees are part of a dynamic, multinational, fast-paced, results-oriented team working to provide our customers with state-of-the-art trading technology, superior execution capabilities, worldwide electronic access, and sophisticated risk management tools. Our headquarters are in Greenwich, CT, USA. IBKR has offices in the United States, Canada, the United Kingdom, Switzerland, Hungary, Estonia, Russia, India, Hong Kong, China, Japan and Australia. IBKR is a member of NYSE, FINRA, and SIPC. Interactive Brokers Group brokerage affiliates are regulated by securities and commodities agencies around the world. Click HERE ( https://www.interactivebrokers.com/en/index.php?f=31899 ) to view a short video with a few words from current Interactive Brokers employees. For more information, please visit www.ibkr.com/info ( http://www.ibkr.com/info )" "Applied Data Scientist- Arlington, VA","Arlington, VA",Nestlé,"Job Description: This role will help build the future of commercial analytics at NUSA, developing and applying advanced analytics models and methodologies to generate new, relevant, and innovative commercial insights for the organization. The applied data scientist will serve as the advanced analytics modeling expert across in-flight, high profile analytics initiatives at NUSA, building and applying sophisticated, interconnected and predictive algorithms to generate growth across all commercial levers Primary Responsibilities Test and implement the latest data science methods to support commercial insight generation and decision making Drive the development of cognitive solutions such as national language processing, cognitive insights, machine learning, etc. to address business needs / goals Incorporate the latest data science thinking into NUSA’s solutions and models Develop repeatable methods and strategies to quickly share the most relevant findings with the commercial functions Support NUSA’s commercial priorities through rapid piloting and scaling of new technologies / approaches Determine appropriate solutions and analytical approaches with Director of Advanced Analytics Collaborate with project teams (analysts, developers, data engineers, etc.) to execute analytics initiatives Work with Enterprise Analytics Hub data scientists to generate innovative, cross-functional solutions Skills & Competencies Deep understanding and experience developing / deploying advanced analytical models and algorithms Competency in data visualization and use of latest visualization tools to convey insights through analytics findings Knowledge of the commercial business functions of a consumer products organization (sales, marketing, pricing, etc.) Qualifications Qualifications & Requirements Education: MS in Computer Science, Statistics, Math, Engineering, or related field, PhD preferred 5+ years experience using various programming languages (R, Python, etc.) to develop and apply advanced cognitive or machine learning methods and algorithms to address business priorities, with focus on consumer products preferred Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment Job Sales/Sales Services" Behavioral Data Scientist,"Nashville, TN",Lirio,"Who You Are You're a data-driven behavioralist -- the perfect blend of behavioral science and data science. You skillfully harness reams of data to identify insights, uncover meaningful relationships, evaluate impact, drive improvements and satisfy client and business objectives. Who We Are Lirio's behavior change AI platform moves people along their unique journey to better health through person-centered communication. The company brings together the power of behavioral science with AI to learn the most effective way to communicate with people in a particular context. That insight is applied to create personalized behavior change programs for health systems and large employers — resulting in improved engagement and outcomes. What You'll Be Doing As an integral member of the Behavioral Science team, the Behavioral Data Scientist plays a vital role in continual innovation, development and assessment of Lirio's behavioral programs. Your work will uncover behavioral insights, reveal patterns in our data, deliver program proof points for our clients and validate our programs internally and externally. Core responsibilities include, but are not limited to:Aid in the design and evaluation of experiments Collect, parse and preprocess data from multiple sources Perform traditional and advanced (newer) data analyses Effectively report results in both layman's and scientific terms Work cross-functionally with other teams to support program development, evaluation, and client reporting Must Haves Master's degree (PhD preferred) in psychology, neuroscience, biostatistics, statistics or related field 5+ years as a data analyst or data scientist working in behavioral science Team player, ready to jump in and share knowledge and ask questions Proficiency in Python or R Strong product, data and analytics intuition Firm understanding of many statistical techniques and principles Proven experience boiling down technical approaches and complex findings into simple and compelling narratives that drive change Great to Have Interested in health, behavioral economics, behavior change Strong interpersonal skills Understanding of machine learning Confident client-facing presentation skills Knowledge of AWS services, bash, SQL, Git, and familiarity with deploying software Perks Competitive compensation and profit-sharing plan Developmental opportunities to grow your career Health care coverage starting on your first day Dog-friendly offices in some locations 401K matching Unlimited PTO" Data Scientist (Diagnostics) (ADX-10-20),"Boulder, CO 80301","ArcherDX, INC.","DATA SCIENTIST (DIAGNOSTICS) (ADX-10-20) COMPANY: ArcherDX, headquartered in Boulder, CO, is committed to the advancement of personalized medicine by making next-generation sequencing technology more reliable and accessible. We seek like-minded individuals who share our values of curiosity, passion and grit to meet these goals. Make it happen by joining us in the fight against cancer. SUMMARY: ArcherDX has a new opportunity for a Data Scientist, who will be an essential team member for the implementation of our growing Companion Diagnostics Program. The incumbent will work cross functionally to ensure ArcherDX data as an organizational asset. Specifically, the Data Scientist will serve as the data sciences strategy and process subject matter expert, responsible for developing and implementing Archer’s long-term data management and technology strategy, to ensure that Program data is collected and stored in a manner consistent with the highest standards of data integrity. RESPONSIBILITIES: Collaborate across assay, software, and clinical teams to build data application pipelines for high-throughput sequencing data Interface with pharma and laboratory service partners to establish data management plans and processes that meet FDA and ex-US regulatory requirements Work with project teams to develop data specifications and quality control strategies for new companion diagnostic assays Lead the design and development of data specification standards and data science business processes Serve as the system owner for data management and statistical analysis production environments REQUIREDMENTS: MS or Ph.D. with a solid understanding of molecular biology and a passion for life sciences research Knowledge of core concepts concerning data analysis and applied statistics - model testing, regression, classification, data mining, and clustering method Experience with scientific methods, processes, algorithms, and systems used to extract knowledge and insights from both structured and unstructured data in various forms Experience with data management in a regulated environment Working knowledge of data analysis and applied statistics concepts as well as R and/or SAS programming for statistical analysis Experience with laboratory information management systems is preferred Excellent organizational skills and attention to detail Excellent communication skills with the ability to work cooperatively as a contributing team member" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Data Scientist, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of environments (including various databases, Linux servers, and Hadoop). You’ll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment.Expected Qualifications: Bachelor’s degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree strongly preferred 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analytics Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc. Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc. Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) Excellent communication skills Passion for extracting hidden insights and building machine learning systems that enhance business outcomes About GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Sr. Data Scientist - Scaled Enforcement Heuristics,"San Francisco, CA 94103 (South of Market area)",Twitter,"Are you passionate about defending online users against abuse, spam, and manipulation? Do you love working on challenging problems that require a multi-disciplinary approach, creative solutions, and rapid product iterations? Will you be proud to work with a real-time, scalable system that serves millions of users daily? If so, you should join us. Who We Are The Scaled Enforcement Heuristics team is responsible for proactively keeping spam and abuse off of Twitter; informing product with expert knowledge about malicious behavior; and rapid prototyping of stateful heuristics. Our team’s mission is to ensure good users see high quality content and to proactively prevent abuse and malicious automation on Twitter. We work with some of the world’s most highly-scaled distributed systems, handling hundreds of millions of tweets and engagements each day, to make Twitter safer and limit the spread of misinformation, abusive, and spammy content on the platform. As a member of this team, you’ll be working on our company's #1 priority: growing the collective health, openness, and civility of public conversation on Twitter. What You’ll Do We believe passion and personality matter. We’re looking for someone who can help us engineer stateful, complex heuristics to proactively combat spam and abuse across multiple product surface areas, rapidly prototype new signals, and use your domain knowledge to size opportunities and inform product decisions. As a technical team member, you will work with data scientists, analysts, engineers, and product managers across multiple teams and orgs to improve overall platform health. Who You Are If this role sounds like a great match, you probably have: Multiple years of experience combating spam and abuse and a passion for being one step ahead of malicious actors A knack for developing, testing, and productionizing complex and stateful rules and heuristics Skills to apply advanced statistical techniques to model user behavior, identify causal impact and attribution, and define, build and benchmark-related metrics Background working with Javascript, Python, Scala, and SQL on large scale datasets Familiarity with standard software engineering methodology, e.g. unit testing, code reviews, design documentation Experience using data visualization tools (e.g, Tableau, Zeppelin) to share ongoing insights. A strong desire to improve the health of public conversation and discourse Strong communication skills to enable collaboration with product and policy teams Thoughtful perspectives, empathy, creativity, and a positive attitude to solve problems at scale Here’s all the legal good stuff: We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status. San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records." Data Scientist - Global Optimization,"San Francisco, CA",Stitch Fix,"-------------- About the Team -------------- The Global Optimization team is focused on solving business-facing problems that cut across organizational and functional boundaries of the company. We seek to ensure that Stitch Fix's systems are operating at their global optimum rather than at local optima---as might occur if each system were optimized independently. We conceived, built, maintain, and improve the inventory targeting algorithm -- the technical system that allows Stitch Fix to optimize the outcomes for all clients simultaneously given our product inventory constraints. -------------- About the Role -------------- You will design, implement, and experimentally test improvements to the inventory targeting algorithm. You will leverage the client-product matching information provided by the inventory targeting algorithm to enhance cross-team visibility into product and client performance to improve all stages of the client and merchandise lifecycles. As an example, this could mean providing client-specific inventory health information to the marketing team so that they can choose to acquire clients that will have a good experience given our present inventory. It may also mean providing client-segment specific information about the products for which demand most exceeds supply so that the merchandise buying team can focus on buying items that improve client experience the most. -------------------------------------------------------------- You're excited about this opportunity because you will… -------------------------------------------------------------- Requires you to think about a large, functioning, successful business as an organic whole rather than focusing on a small slice Allows you to operate as a ""full stack"" data scientist participating in every stage of development from idea to proof-of-principle to production Is an opportunity to drive highly visible impact at the company --------------------------------------------- We're excited about you because… --------------------------------------------- Have a PhD or equivalent experience in a quantitative empirical science Have 3+ years industry experience interacting with production systems Are an exceptional communicator able to use the appropriate level of technical detail for a given audience May have background in convex optimization May have experience using distributed systems such as Spark Avoid getting ""blocked"" by working with a bias to action in the presence of ambiguity Know how to find the right balance of rigor and pragmatism in a given context Are able to identify new opportunities to improve algorithms and effectively prioritize among them Are bright, kind, and motivated by challenge ------------------------------------------------- You will love working at Stitch Fix because we... ------------------------------------------------- Are a successful, fast-growing company with a start-up work vibe. Are a technology and data-centric business, all in the service of our customers. Offer competitive salaries, equity and comprehensive health benefits. Are at the forefront of tech and fashion, redefining shopping for the next generation. Are passionate about our clients and live/breathe the client experience. Get to be creative every day. Have a smart and experienced leadership team that wants to do it right & is open to new ideas. Believe in autonomy & taking initiative. Are a group of bright and kind people who are motivated by challenge. We are challenged, developed and have meaningful impact We take what we do seriously. We don't take ourselves seriously We offer competitive compensation packages and comprehensive health benefits You will be proud to say that you work for Stitch Fix and will know that the work you do brings substantial positive impact to our users every day. ---------------- About Stitch Fix ---------------- Stitch Fix is an online personal style service for men and women combining art and science to disrupt and redefine the retail industry. We're the first fashion retailer to blend expert styling, proprietary technology and unique product to deliver a refined shopping experience. Using a blend of art and science, we deliver a deeply personalized shopping service to our customers. We leverage vast amounts of client data to make decisions throughout the company. This novel juxtaposition—at once analytical and artistic, technical and adventurous—attracts an extraordinary collection of talented people who are both thinkers and doers. Our diverse workforce has catalyzed enormous company growth over the past three years in terms of customer satisfaction and service efficacy. All of this results in a simple, powerful offering to our customers and a successful, growing business. We'd love for you to help us carry on the trend. Please review Stitch Fix's Recruiting Privacy Policy here: https://www.stitchfix.com/privacy/usrecruitingprivacy ( https://www.stitchfix.com/privacy/usrecruitingprivacy )" Data Scientist,"El Segundo, CA 90245","MCR, LLC.","THE COMPANY MCR, LLC, is the nation’s premier Integrated Program Management firm. Since 1977, we have delivered groundbreaking cost/schedule analysis, acquisition management and program assessment solutions to help government clients successfully deliver agile and creative programs. MCR’s 400+ professionals provide critical thinking and integrated solutions to customers, enabling them to more rapidly develop complex National Security Space programs. We value integrity, excellence, honesty, service, and trust. It is through these values that we form long-term client partnerships, build expertise, and attract and retain hardworking employees. MCR Space Programs develops full lifecycle solutions for customers by partnering with them to rapidly acquire and field the latest space and command and control technologies. DESCRIPTION OF DUTIES MCR is looking for self-starting Data Scientists who can innovate and accelerate agile, data-driven business solutions across the Space Enterprise. As part of the Atlas X team, you will remove business barriers, increase agility, enhance decision making, and deliver critical business capability to the SMC enterprise. As part of the Atlas X team, you will continuously deliver mission-focused software that people love by: Providing data analytics and business intelligence support, including the use of sophisticated analytics programs or tools. Using data to discover valuable operational insights that would otherwise remain undiscovered within raw and unconnected data sets. Conducting data mining activities to include anomaly detection and focusing on unusual data errors that may require additional validations. Supporting data governance activities to ensure data assets are adequately secured, quality controlled, and managed. Performing data operations activities such as data extractions, data transformations, and data integration into various systems. Supporting various SMC data management activities such as; data architecture, data security, data quality, data operations, data document/content management, data modeling/design, data storage, data integration, and meta-data management. Using data management techniques, data mining methods, statistical analysis, and visualization software to develop insights from the available data that will be shared to the Space and Missile Systems Center. Developing complex statistical analytical models to perform descriptive, diagnostics, predictive, and prescriptive analytics focused on improving data-driven decision making and reducing overall risk exposure. Building, testing, and sustaining interactive dashboards using visual analytics tools. Supporting change management activities such as developing and delivering training for key stakeholders, strategic communication, and related organizational support of analytic activities. BASIC QUALIFICATIONS Bachelor's degree in business, economics, mathematics, or relevant field. At least 5 years’ experience in data analytics, business intelligence, data governance, data mining, data extraction, and modeling. Excellent interpersonal skills to effectively communicate and solve problems MS-Windows and MS-Office applications expertise Minimum of a Secret level Security Clearance US Citizenship is required PREFERRED QUALIFICATIONS Expertise in the following: .Net and SQL Server development Microsoft Business Intelligence Suite and Visual Studio Products Developing datamarts, data cubes, and databases utilizing SQL and other Database Management Systems (DBMS) Developing SharePoint sites, websites, and SQL Server Reporting Portals Experience with Atlassian JIRA and/or Confluence EQUAL OPPORTUNITY EMPLOYER MCR, LLC is an equal opportunity/affirmative action employer. We will consider you for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. For more information about MCR, LLC, career opportunities, please visit www.mcri.com." Data Scientist,"Santa Clara, CA",Big Data Federation,"Location: Santa Clara, CA Employment Type: Regular full time Company: Big Data Federation, Inc. is an artificial intelligence-driven financial technology company which develops and applies innovative machine-learning technologies to big data to predict financial and economic fundamentals metrics. We are a team of technologists, mathematicians, data scientists, and software programmers. Job Profile: We are seeking a Senior Data Scientist to be a contributor to our predictive analytics platform. You will create application pipelines which pull data from a universe of ingested data-sets and refine them to extract information for use in our predictions. You will help design and implement machine-learning algorithms and micro-services. In many cases the data sizes will necessitate implementation on distributed computing platforms. We seek mathematically-inclined software engineers, and scientists/mathematicians with an aptitude for computer science. We particularly welcome passionate, data-oriented candidates eager to learn new skills, and mentor their colleagues in areas where they themselves excel. Experience Strong background in classical machine learning and deep knowledge in a variety of techniques in feature selection, regression, classification, and clustering, and their real-world advantages and drawbacks Hands-on experience with applied mathematics, e.g., linear algebra, probability, and statistics Proficient with R (preferred), or Python, and their respective library ecosystems Experience with large data sets and distributed computing tools is a plus Ability to multitask with attention to details Familiarity with financial analytics and time series econometrics is a plus Practical experience with semantic text analysis and deep learning is a plus Education Master’s degree in computer science or an engineering/math/statistics/science discipline with a strong computer science component Compensation Competitive salary; Stock options; Health benefits: medical, vision, and dental; Paid time off; Life insurance; Short- and long-term disability. Please send cover letter and resume to jobs@bigdatafed.com" "Associate Director, Data Scientist","Burbank, CA",OMD,"THE AGENCY OMG23 is the new Omnicom Media Group agency dedicated to Walt Disney Studios and Disney’s multiple television networks. At OMG23, we have the privilege of partnering with Disney on the planning, buying and implementation of its integrated ad campaigns for some of the entertainment industry’s most iconic brands. Our Walt Disney Studios team works on titles that include a wide variety of blockbuster films distributed under the Walt Disney Studios, Marvel Studios, Lucasfilm, Pixar Animation Studios, Walt Disney Animation Studios, 20th Century Fox, and Fox Searchlight banners. We are also proud to be Disney’s Agency of Record for their premier television networks including ABC, ABC News, Disney Channels, Freeform, National Geographic and FX. We live movies and TV. If you do too, see below for an opportunity to join our team. THE JOB The Associate Director, Data Science, helps deploy technology that empowers our strategy teams to understand consumers and what drives their behavior. Your work turns the path to purchase into a day-by-day, minute-by-minute reality for our clients. You’ll drive efficiency through integrated work powered by data and smart decisions through the entire entertainment consumption lifecycle. As a Data Scientist, you’ll work closely with the Group Director of Data Science to enable the Planning and Strategy teams to make better decisions through the use of customs applications. You’ll also coordinate with internal Disney Marketing Science teams to move their testing and learning agenda forward. You’ll work closely with a Data Modeler to ensure actionable outputs of analysis. Responsibilities include: Ability to understand client goals/objectives through the lens of data and collaborate on the development of data and audience-driven strategies and tactics Ensure integration and coordination between various internal teams by updating and informing them on the status of all account projects Stay current on the market (data partners and landscape), opportunities and emerging technologies Perform exploratory data analysis and data queries against outlined objectives, to ensure the availability of the right data and required sample sizes Run predictive modeling utilities to define and project/score audiences for deployment Evaluate model performance/model separation to determine cut-off points (in/out phase gains charts) and output resulting user pools for deployment Partner with client data science team to augment or develop new methodologies and utilities Ability to write clearly and concisely and present orally in an articulate and confident manner Check for accuracy, timeliness and quality of all outputs YOU We encourage you to apply if the below describes your experience and talents: 6 to 8 years of relevant experience Bachelor’s degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields Advanced quantitative degree is preferred Experience in statistical techniques such as: multivariate predictive modeling, multidimensional segmentation, factor analysis, lifetime value determinations, linear and logistic regression, CHAID analysis, latent class analysis, multinomial logistic regression, survival analysis, fractional factorial test design, cluster analysis, Markov Chains, econometric time series AR, MA, and ARIMA modeling Hands-on experience and proficiency in SQL, R, and Python Experience with Hadoop, Spark, and AWS computing Strong interpersonal communication Ability to collaborate and work as part of a team Knowledge of digital ad serving, tagging, and media a plus" Applied Machine Learning Scientist - Uber Eats (NYC),"New York, NY 10018 (Clinton area)",Uber,"At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together. About the Role Are you interested in working at the intersection of machine learning (ML), software engineering, and data science? Do you have an interest in developing and applying quantitative solutions to uniquely challenging problems on Uber Eats? If so, then this is the job for you. About you Strong expertise in machine learning. Prior research or industry experience in Natural Language Processing (NLP), Deep Learning, Reinforcement Learning, Active Learning, bandit-based optimization preferred. Superb quantitative background (e.g. machine learning, statistics, mathematics, or computer science). Graduate degree required. Bias towards action and impact - able to structure a project from idea, prototyping, productionization to impact quantification. Industry experience with a proven track record of delivering impactful results preferred. Familiarity with technical tools including Tensorflow/PyTorch and Hive/Spark. Previous software engineering background a plus. Passionate and attentive self-starter, great communicator, amazing follow-through - you have a great work ethic and love the responsibility of being held accountable for the results. About the Team Uber Eats Data Scientists help solve the most challenging problems related to Uber's ambitious and rapidly expanding on-demand food delivery businesses, which currently operates in more than 45 countries globally and is the largest outside of China. These fascinating and difficult problems include personalized search and recommendation for restaurants and dishes, travel and food preparation time prediction, text mining and natural language processing, demand and supply forecasting, growth and spend optimization, dynamic pricing, dispatch and routing optimization, and many more. Below is a list of sub domains within the Restaurant team: Menu optimization: We leverage state-of-the-art algorithms to efficiently train supervised and semi-supervised models, with the goal of optimizing Menus’ content, structure, prices, and visibility. Knowledge Graph: To enhance the recommendation and search capabilities, we build an extensive knowledge graph to capture the relationship between food, restaurants, users and other marketplace entities using a wealth of data unique to Uber and Uber Eats. Recommendation: We help restaurants optimize their online presence to boost their business and achieve their goals, finding win-win operational goals for both Uber Eats and our restaurant partners." Behavioral Data Scientist,"Nashville, TN",Lirio,"Who You Are You're a data-driven behavioralist -- the perfect blend of behavioral science and data science. You skillfully harness reams of data to identify insights, uncover meaningful relationships, evaluate impact, drive improvements and satisfy client and business objectives. Who We Are Lirio's behavior change AI platform moves people along their unique journey to better health through person-centered communication. The company brings together the power of behavioral science with AI to learn the most effective way to communicate with people in a particular context. That insight is applied to create personalized behavior change programs for health systems and large employers — resulting in improved engagement and outcomes. What You'll Be Doing As an integral member of the Behavioral Science team, the Behavioral Data Scientist plays a vital role in continual innovation, development and assessment of Lirio's behavioral programs. Your work will uncover behavioral insights, reveal patterns in our data, deliver program proof points for our clients and validate our programs internally and externally. Core responsibilities include, but are not limited to:Aid in the design and evaluation of experiments Collect, parse and preprocess data from multiple sources Perform traditional and advanced (newer) data analyses Effectively report results in both layman's and scientific terms Work cross-functionally with other teams to support program development, evaluation, and client reporting Must Haves Master's degree (PhD preferred) in psychology, neuroscience, biostatistics, statistics or related field 5+ years as a data analyst or data scientist working in behavioral science Team player, ready to jump in and share knowledge and ask questions Proficiency in Python or R Strong product, data and analytics intuition Firm understanding of many statistical techniques and principles Proven experience boiling down technical approaches and complex findings into simple and compelling narratives that drive change Great to Have Interested in health, behavioral economics, behavior change Strong interpersonal skills Understanding of machine learning Confident client-facing presentation skills Knowledge of AWS services, bash, SQL, Git, and familiarity with deploying software Perks Competitive compensation and profit-sharing plan Developmental opportunities to grow your career Health care coverage starting on your first day Dog-friendly offices in some locations 401K matching Unlimited PTO" Engineer Machine Learning,"Santa Monica, CA 90404",InvolveSoft,"Job Description We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Reports To: Chief Technology Officer Location: Santa Monica, CA Your Role Understand business objectives and developing models that help to achieve them, along with metrics to track their progress Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Manage resources such as hardware, data, and personnel so that deadlines are met Analyze ML algorithms that could be used to solve a given problem and ranking them by their success probability Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world Verify data quality, and/or ensuring it via data cleaning Supervise the data acquisition process if more data is needed Find available datasets online that could be used for training Define validation strategies Proactively propose solutions to address customers' business problems and goals Define the preprocessing or feature engineering to be done on a given dataset Define data augmentation pipelines Train models and tune their hyperparameters Analyze the errors of the model and design strategies to overcome them Deploy models to production Qualifications BA/BS in engineering or a related field; Computer Science degree preferred Demonstrated problem-solving ability, particularly in complex technical situations Experience with a deep learning framework such as TensorFlow or Keras Proficiency with Python and basic ML libraries such as scikit-learn and pandas Expertise in visualizing and manipulating big datasets Familiarity with Linux Why you shouldn't apply If you haven't worked with international engineering teams before If you haven't had experience working on B2B platforms before If you have never directly communicated with customers/buyers in a B2B environment If you rely on structure and processes If you're not a first principle thinker or problem solver If you're not used to an agile, fast-paced, stressful environment If you want a 9 to 5 job If you're not looking for a challenge If you don't have a natural curiosity/initiative If you don't understand Software as a Service (SaaS) 8VkyAnNLlv" R&D Imagineer Princ - AI/Machine Learning Engineer,"Glendale, CA 91201 (Grand Central area)",Walt Disney Imagineering,"Specific tasks may include: Architecting machine learning software systems in areas such as real-time perception, language understanding, speech processing, anomaly detection and predictive analytics. Rapid prototyping and development of end to end machine learning solutions. Specification, design and development of data collection and annotation tools and pipelines. Specification, design and development of optimization tools for deployed systems. Integrate machine learning solutions with robotics and other deployed platforms. Perform testing and verification of systems under real-world conditions. 5+ years industry or academic experience (minimum 2+ years in machine learning or AI). Demonstrated experience independently designing, specifying, integrating, and testing real-time machine learning systems in challenging real-world environments. Familiarity with key machine learning libraries such as PyTorch, Tensorflow and Caffe. Ability to write, debug and review C, C++, and Python software. Experience applying different machine learning architectures (DNN, GAN, RNN, CNN, LSTM) to a wide variety of problems and data types. Experience taking applications from concept to solution: including data collection, annotation, model specification, training, and deployment. A positive, energetic and collaborative attitude necessary to provide support and guidance to peers. Proven track record of adaptability and creativity in a dynamic work environment. Proven ability to communicate ideas clearly and effectively. Strong desire to build practical machine learning solutions informed by (but not limited by) theoretical underpinnings. Experience with hardware accelerated machine learning processing pipelines. Demonstrated experience testing and validation of robust real-time machine learning algorithms in real world environments. Experience deploying machine learning solutions on embedded platforms. Master of Science or PhD in Computer Science or equivalent. ""We create happiness.” That’s our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you’ll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen! Walt Disney Imagineering is the master planning, creative development, design, engineering, production, project management, and research and development arm of The Walt Disney Company. Its talented corps of Imagineers is responsible for the creation - from concept initiation through installation - of all Disney Resorts, theme parks and attractions, real estate developments, regional entertainment venues, and new media projects. The Senior Machine Learning Engineer works with electrical, mechanical and software engineers, artists, and designers and is expected to be a critical team player integrating machine learning during design and development of platforms to enable new guest experiences.Required Education : Master of Science or PhD in Computer Science or equivalent. Preferred Education : 5+ years industry or academic experience (minimum 2+ years in machine learning or AI). Demonstrated experience independently designing, specifying, integrating, and testing real-time machine learning systems in challenging real-world environments. Familiarity with key machine learning libraries such as PyTorch, Tensorflow and Caffe. Ability to write, debug and review C, C++, and Python software. Experience applying different machine learning architectures (DNN, GAN, RNN, CNN, LSTM) to a wide variety of problems and data types. Experience taking applications from concept to solution: including data collection, annotation, model specification, training, and deployment. A positive, energetic and collaborative attitude necessary to provide support and guidance to peers. Proven track record of adaptability and creativity in a dynamic work environment. Proven ability to communicate ideas clearly and effectively. Strong desire to build practical machine learning solutions informed by (but not limited by) theoretical underpinnings. Company Overview : English" Data Scientist/AI Scientist,"Chicago, IL 60607 (Near West Side area)",STATS PERFORM,"Do you have a background in Data Science, Physics, Statistics or Probability Theory? Do you have a passion for sports? Do you live to find data driven solutions to complex problems? Come join our team at Stats Perform as a AI Scientist building predictive models with modern deep learning tools that will be utilized by the world’s leading technology companies, sports franchises and sports book operators. What You’ll Do: Researching, developing, and implementing the most innovative machine learning and computer vision techniques to Stats Perform’s wealth of sports data (both structured and unstructured) Productizing artificial intelligence based solutions along side engineers and product teams Providing technical guidance to product teams on the artificial intelligence (machine learning and computer vision) approaches appropriate for a task Patenting the innovative solutions What You Need: Bachelor’s, MS or PhD in computer science or related quantitative field. Expertise in using Python, C++, or other programming language Substantial experience with unstructured data sources, especially in areas such as spatiotemporal data, video/image, speech or text data Proficiency in, at least, one modern deep learning engine such as Tensorflow, PyTorch etc. (preferred: knowledge of using GPUs) Proven track record of innovation in creating novel algorithms and advancing the state of the art Passion for creating new technologies with high product impact within sport. Stats Perform Core Values One Team We foster a culture of respect and collaboration to selflessly support and engage our teammates Committed Players We are proud and passionate about the work we do and our role in sport Dedicated to Client Success We keep our client’s goals at the center of everything we build and do; when our clients win, we win Always Innovate We aspire to innovate in all of our work to disrupt and shape the future of our industry Be The Best We have a relentless pursuit of getting the job done right and celebrating the results Stats Perform is an equal opportunity employer our goal is to create an inclusive workplace for all. We welcome and encourage diversity in the workplace regardless of gender, race, disability or veteran status." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Data Scientist, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of environments (including various databases, Linux servers, and Hadoop). You’ll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment.Expected Qualifications: Bachelor’s degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree strongly preferred 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analytics Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc. Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc. Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) Excellent communication skills Passion for extracting hidden insights and building machine learning systems that enhance business outcomes About GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Machine Learning Engineer,"Long Beach, CA 90807 (Los Cerritos Area area)",Laserfiche,"Laserfiche is looking for a passionate and highly experienced machine learning expert to help build a machine learning team. Today’s machine learning algorithms play a pivotal role in improving how we solve complex real-life scenarios. Your extensive experience in machine learning, statistical modeling, and natural language processing knowledge will play a key role in spearheading the development of shared components which will be used by our global multi-product platform. You will be responsible for building a team and growing a set of engineers to support this mission. You will actively participate in all phases of the software development lifecycle: analysis, technical design, planning development, testing, release and production support. Your team will interact with providing guidance and developing components for several product teams who are integrating machine learning into their products. As the experienced machine learning engineer, you will be provided with challenging opportunities in a diverse, dynamic and energetic team environment while liaising with various businesses. Laserfiche is the leading global provider of intelligent content management and business process automation. The Laserfiche® platform enables organizations in more than 80 countries to transform into digital businesses. Customers in every industry—including government, education, financial services and manufacturing—use Laserfiche® to boost productivity, scale their business and deliver digital-first customer experiences. Responsibilities Include: Ability to direct the change and enhancement in our current machine learning system and infrastructure Develop scalable and generalized solutions that could be applied to specific and/or other problems Comfortable to provide technical guidance to the new machine learning engineering team Stay on top of the latest advancements in machine learning and software development trends Ability to build end to end scalable machine learning systems Understand the differences between machine learning engineers, data scientists, research scientists/applied research scientists, and distributed systems engineers What You'll Need: 7-10+ years of machine learning experience MS or Ph.D. in CS, Statistics or relevant field Proficiency in multiple programming languages (C/C++, C#/.NET, Python, JavaScript) and willing to learn new languages (as needed) Strong quantitative skills to apply complex statistical methods Extensive awareness of natural language processing techniques and ability to effectively apply them Click here to learn more about Life at Laserfiche" Data Scientist,"Phoenix, AZ 85009 (Maryvale area)",Lighthouse,"Duties & Responsibilities Research, design and prototyping of scalable machine learning techniques for classification, recognition and matching, and attribute extraction in order to answer key business problems Develop value propositions, identifying new business opportunities for data Determine the right set of statistical and machine learning algorithms and techniques needed to solve different data problems, while maintaining security and privacy of data Advocator of predictive modeling and analytics throughout the corporation as a technical expert. Provide technical recommendations regarding buy vs. build decisions for different components of the data analytics infrastructure Articulate business opportunities using mathematical techniques to arrive at an answer using available data for modeling. Job Requirements PhD or MS in a quantitative discipline (e.g. Statistics, Bioinformatics, Computational Biology, Computer Science, Applied Mathematics, or equivalent practical experience) with 5+ years’ experience in Data Science, data analysis or related field Demonstrated history of driving and delivering analytics models and solutions to offerings in the market Knowledge of software engineering principles like running tests at scale, test driven development, CI/CD and Agile Development. Deep knowledge of fundamentals or machine learning, data mining and statistical predictive modeling, and extensive experience applying these methods to real world problems Track record of developing and implementing models using programming and scripting languages (Python, Scala/Spark), familiarity with cloud native technologies (e.g. Azure, AWS, GCP) Expertise working with both structured and unstructured data in industry standard toolsets. (e.g. MSSQL, T-SQL, PostgreSQL) Experience developing and productizing end-to-end data-driven solutions." Data Scientist,"Dallas, TX 75202 (West End Historic District area)",Corgan,"Overview: Corgan is actively recruiting a Data Scientist to join our growing HUGO team. We are looking for an upcoming or recent graduate (0-2 years of experience). As a Data Scientist, you will work under the direction of the HUGO Director to create data-driven solutions, map behavioral needs and novel technology trends, and foster innovative research that adds value to our projects and clients. What You’ll Bring: Professional degree with a focus on Data Science, Business Analytics, or Applied Statistics Experience working in the Architecture or Interior Design industry is a plus Experience (familiarity) with User Experience Research, Artificial Intelligence application, leveraging big datasets, and trend-mapping Experience creating and deploying UX/UI for data gathering Experience with academic research publication Experience conducting research within the community and/or related to human behavior Graphic design capability for Data Visualization is a plus Experience with design and implementation, Adobe Creative Suite, Programming Languages (R, Python, Scala, or Java), and data visualization programs (Tableau, Power BI, or others) What You’ll Do: Collaborate with internal employees and other experts in certain fields of study to conduct research Develop and create trend maps to help deepen understanding of an issue or subject Build bridges between the scientific community and different business stakeholders Solve difficult problems using behavioral science and advanced data analytics Use trend mapping to discover innovative design methods Develop predictive design models and analysis tools Explore new subjects, draw conclusions and use critical thinking to create new ideas for our clients Provide support to director by assisting in ongoing research and ongoing studio projects, and will help conduct experiments by providing innovative data gathering strategies Conducts risk profile analysis Decipher efficient ways to gather information and present findings to clients What We Offer: Competitive compensation and benefits package (medical, dental, vision, 401K matching, ESOP, bonus potential, and more) Local wellness initiatives with access to company health platform – RALLY (gym membership discounts, organized group fitness activities, access to wellness rooms, etc.) Community service events that support our local communities Continuous educational support through our Corgan University Program Various events (happy hours, holiday party, quarterly team building activities, summer picnic) Weekly design presentations at Friday Forum Corgan is an equal opportunity employer." "Data Scientist, Forecasting","New York, NY 10011 (Greenwich Village area)",Tapestry,"Explore the possibilities across our global house of brands. Defined by inclusivity rather than exclusivity, Tapestry embraces the exploration of individuality and invests in helping you grow personally and professionally. Every individual in our global house has the opportunity to make an impact, learn and be part of our growing and unique story. At Tapestry, we have the freedom to express ourselves and run with our best ideas across Coach, Kate Spade New York, and Stuart Weitzman. We share a profound belief in both our individual and collective potential, and know that with hard work and dedication, anything is possible. The Data Labs group at Tapestry is the center of excellence for data science and deep learning. Through the application of machine learning algorithms and intuitive web applications and APIs, Data Labs is transforming the way Tapestry employees interact with our customers globally.Primary Purpose: This Data Scientist will join our ongoing forecasting initiatives focused on improving the accuracy, scope, reach, and usability of forecasting methods globally across all brands. You will be responsible for building and maintaining relationships with our business partners, developing and maintaining forecasting models solving both near-term and long-term challenges, and deploying forecasting results into both machine- and human-usable formats. A successful candidate in this role will leverage their experience in Data Science to... Collect, clean, integrate, analyze, and visualize internal and external data across multiple areas including demand, inventory, traffic, and labor to identify opportunities and guide our forecasting strategy Develop forecasting models for all Tapestry brands and regions utilizing all available forecasting techniques from exponential smoothing to LSTM Deploy forecasting models as batch and real-time API processes integrating with our internal AWS environment and external partners Partner with various Tapestry business teams including Buying, Merchandising, Finance, and Allocation to identify the best opportunities and the right solutions The accomplished indivudual will possess... Experience developing and deploying forecasting models Python and SQL coding skills are necessary, R is great to have 1+ years of experience as a Data Scientist BA/BS in a technical field (Computer Science, Statistics, Data Science, etc.) An understanding of Agile workflows and product development cycles The outstanding individual will possess... A Masters or PhD in a technical field Expertise in AWS, Azure, and/or GCP Experience working with non-technical teams and business partners Experience working with containerized environments (e.g. Docker) Knowledge of retail and an interest in fashion Our Competencies for All Employees Drive for Results: Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results. Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect. Creativity: Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings. Interpersonal Savvy: Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably. Learning on the Fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything. Perseverance: Pursues everything with energy, drive, and a need to finish; seldom gives up before finishing, especially in the face of resistance or setbacks. Dealing with Ambiguity: Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn’t upset when things are up in the air; doesn’t have to finish things before moving on; can comfortably handle risk and uncertainty. Our Competencies for All People Managers Strategic Agility: Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans. Building Effective Teams: Blends people into teams when needed; creates strong morale and spirit in their team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team. Managerial Courage: Doesn’t hold back anything that needs to be said; provides current, direct, complete, and “actionable” positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary. Tapestry, Inc. is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant’s or employee’s qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law. #LI-JW1 Visit Tapestry, Inc. at http://www.tapestry.com/" "Watson Health Data Scientist, NLP / Image Processing","Cambridge, MA 02139 (Area IV area)",IBM,"Introduction As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.Your Role and Responsibilities IBM Watson Health is looking for talented individuals destined to usher in the next era of healthcare. We live in a moment of remarkable change and opportunity. The convergence of data and technology is transforming healthcare and life sciences organizations today. New opportunities are being created that never existed before to meet the demands of this transformation. The Rapid Development is a team of Scientists and Cognitive Software Developers within IBM Watson Health Imaging. In collaboration with cross-functional Watson Health teams, IBM Research and external partners, the team develops cognitive solutions that combine imaging and clinical data to enhance clinical decision making. The team is responsible for developing and validating robust and scalable cognitive services (text analytics and image analytics) and applications, including validation and evaluation of technologies being transferred from Research and other collaborators. The team follows Agile and DevOps methodologies to enable rapid iteration and responsiveness. We are looking for self-motivated and driven candidates that are passionate about working on cutting edge technologies and that thrive in a highly collaborative environment. Job Responsibilities Design and development of robust algorithms and techniques using machine learning and one or both of (a) text analytics, Natural Language Processing (NLP) or (b) image processing, Computer Vision Rapid development and validation of cognitive solutions by using and/or enhancing existing methodologies, frameworks and architecture Development of criteria for testing algorithm and system’s cognitive performance objectively from end-user and market perspective. Conduct performance evaluation and testing of algorithms and systems on test and real clinical data Work with clinical collaboration and joint development partners to develop cognitive solutions Support collection and annotation of data for algorithm development and evaluation Integration of cognitive systems and components in Watson Health architecture, including Watson Health cloud Planning, processing and performing all jobs in an efficient manner with minimum supervision Conduct product development in compliance with Watson Health’s methodology, practices and Quality Management system.Required Technical and Professional Expertise 1-3 years experience with solving real-world problems using Data Analytics, Natural Language Processing (NLP) or Image Processing, and Machine Learning, Strong experience in Machine Learning, including deep learning and statistical models Strong Programming skills (Java/J2EE, C++, Python) and experience with software systems architecture, web services, web applications, and current software development tools, technologies and frameworks Strong publication record in peer-reviewed conferences and journals Demonstrated communication and cross-functional collaboration skills; PhD in Text Processing / NLP or Image Processing / Computer Vision Fluent in English, spoken and written Preferred Technical and Professional Expertise Strong knowledge of either (a) clinical information analytics domain, having applied NLP and machine learning techniques on unstructured data in EMRs, or (b) medical imaging domain, having applied computer vision and machine learning techniques on modalities such as X-ray, CT, MR, Ultrasound, etc. Interest or experience with healthcare information protocols and common interoperability standards, such as IHE, HL7, DICOM, XDS and IHE, and healthcare systems such as PACS, EMR, EHR, HIS and RIS; PhD in Text Processing / NLP applied to medical reports, or Image Processing / Computer Vision applied to medical imaging.About Business Unit IBM Watson Health is pioneering a new partnership between humanity and technology with the goal of transforming global health and revolutionizing many aspects of the medical and pharmaceutical industries, as well as government sectors. We aspire to improve lives and give hope by delivering innovation to address the world’s most pressing health challenges through data and artificial intelligence insights.Your Life @ IBM What matters to you when you’re looking for your next career challenge? Maybe you want to get involved in work that really changes the world? What about somewhere with incredible and diverse career and development opportunities – where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust – where everyone has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, not to do something better, but to attempt things you never thought possible. Impact. Inclusion. Infinite Experiences. Do your best work ever.About IBM IBM’s greatest invention is the IBMer. We believe that progress is made through progressive thinking, progressive leadership, progressive policy and progressive action. IBMers believe that the application of intelligence, reason and science can improve business, society and the human condition. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.Location Statement For additional information about location requirements, please discuss with the recruiter following submission of your application.Being You @ IBM IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status." Data Scientist,"Kansas City, MO 64105 (Central Business District - Downtown area)",AutoAlert,"Data Scientist LOCATION: Kansas City, MO – this position is office based, does not work remotely Company Overview AutoAlert is the automotive industry's leading data-mining and lead generation platform helping dealerships identify high-quality leads, increase volume of retail trade-ins, and improve customer retention. Founded in 2002, AutoAlert has provided the automotive industry with innovative software, direct marketing and training solutions currently implemented in over 3,000 dealerships. Job Summary & Responsibilities: Be part of the Data Science discipline and Predictive Analytics team using SCRUM while maintaining an academic, research mentality Deliver end-to-end inventions by following our Data Science Lifecycle and Machine Learning Workflow Perform data exploration, statistical analysis, and modelling on how the world uses / engages our clients and our mobile products Create data structures to support the automation of analysis / modeling Take responsibility for turning data into understanding by being active, educational, and supportive of every conversation about data Deliver data related objectives within the team and product ecosystem Provide opinionated feedback to management regarding data related technologies Knowledge and Skills Requirements: Required Proficiency in Mac, Linux, command line tools, scripting Proficiency in Python (including Jupyter, Pandas, Scikit-learn, SciPy + NumPy) Experience with Linear/Logistic Regression and other linear ML techniques Proficiency with noSQL such as ElasticSearch Proficiency with RDBMS with at least MSSQL, postgreSQL and general OLTP Proficiency with AWS Redshift MPP and general OLAP Experience working with very large data sets (data too large to fit into memory) Strong statistical and modelling ability Ability to deliver innovative and actionable insights from complex datasets with only broad and/or general requirements Preferred Experience working with data in multiple database systems Experience creating and maintaining multi-faceted Data Warehouse and dimensional design concepts Experience with Job Scheduling in Airflow Experience with experiment tracking with MLFlow Experience with EMR Experience with Apache Spark Experience with non-linear graph, neural networks, and other forms of non-linear ML Experience with Customer Entity Resolution Experience analyzing large-scale Personally Identifiable Information Proven track record of ability to drive value of products Experience with programming languages Scala, Java Minimal Qualifications Education and/or Experience PhD, MSC in Computer Science / Information Technology or equivalent experience 5 + years experience that involved working with high – availability, fault – tolerant, high – performance, scalable systems Benefits Offered: Competitive Compensation Package Medical Dental Vision Health Savings Accounts Flexible Spending Accounts Life Insurance Disability Paid Time Off 401 (k) Retirement Savings Plan Fitness Reimbursement Plan Please note this job description is not designed to cover all duties and responsibilities of the employee to effectively do their job. Eligibility requirements apply to all benefit plans. AutoAlert reserves the right to alter all benefit offerings at will. AutoAlert is an Equal Employment Opportunity/Affirmative Action employer." Senior Data Scientist,"Carlsbad, CA 92009 (Bressi Ranch area)",ViaSat,"Bigger challenges. Bolder ideas. Global impact. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. We’re the company behind the world’s fastest satellite internet service, with technology that’s helping to bridge the digital divide and improve life for our customers around the globe. By providing powerful new ways for people to connect with one another, gain greater access to education, entertainment, medical research, commerce, and much more, our team is empowering millions of customers worldwide. We’re growing rapidly and looking for passionate, innovative professionals to join our team and connect the world to more. You’ll work in a collaborative and inclusive environment that values diverse perspectives and continuous learning, and provides industry-leading benefits with unmatched opportunities for career growth. Our team is fearless in pursuit of new ideas and uncompromising in our quest to become the world’s first truly global Internet Service Provider. Interested in joining our mission? Take a look at career opportunities at Viasat today. Our Team We use the latest technologies (Spark, Kafka, Impala, Hadoop) to analyze the Terabytes of data our operational systems produce. We employ developers, data scientists, and engineers to gain insight; solving both business and technical problems. Our innovative solutions are a result of the diversity of our team. Your Opportunity As a team member, you’ll build a breadth of knowledge including distributed systems, predictive analytics, and machine learning. You will design, develop, and deploy analytic pipelines to answer questions across multiple business areas and disciplines. Our Ideal Candidate We encourage learning through immersion, collaboration and action. We value adaptability and curiosity. Or ideal candidate is someone focused on solving tough problems using data and loves doing so. As a Data Scientist, you will contribute with: Exploratory Analysis: Architect, design, and build data analysis pipelines working with large and complex data sets. Visualizations: Create visualizations to effectively convey the information discovered through analysis. Business Analytics: Design experiments, build dashboards, and evaluate & define metrics to improve business performance. Modeling: Architect, Design, Build and Support data models using both real time and historical analysis. Training: Mentor and support the training of technical and non-technical teams in data science and machine learning. Requirements: Excellent understanding of several statistical models Excellent understanding of the mathematical underpinnings and extensive experience using machine learning models A passion for neural networks approaches and deep learning Extensive experience with data analysis tools such as R, Python, SQL Familiarity with Big Data technologies such as Spark, Impala, Hadoop US Government position. US Citizenship Required Travel up to 10% Preferences: MS/PhD in a data related field such as mathematics, computer science, physics, or similar Our Diversity is what makes us a Great Company: Great Benefits. Great Work. Great People. Additional requirements Minimum education: BA/BS Years of experience: 3-5 years Travel: Up to 10% Citizenship: US Citizenship Required Clearance: None Additional requirements Minimum education: BA/BS Years of experience: 3-5 years Travel: Up to 10% Citizenship: US Citizenship Required Clearance: None Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic." "Data Scientist, The Sims 4","Redwood City, CA 94065 (Dolphin area)",Electronic Arts,"Data Scientist, The Sims 4/ Global Analytics & Insights Location: Redwood City, California, United States About the Role: At Maxis, we thrive on outrageous thinking. It’s the fuel that inspires the best games in the world. We’re innovators and great storytellers. But it’s not just about amazing your peers — it’s about amazing yourself and our fans. Take risks, collaborate with brilliant minds and dare to dream big. Together, we can impact millions of players every day. As a Data Scientist on The Sims franchise, you’ll be handed the keys to massive volumes of player behavioral data and responsible for developing models and algorithms that meaningfully inform game design, feature prioritization, and product development. You’ll be working with a large but tight-knit studio of enthusiastic industry craftspeople from all walks of life. You’ll also join a group of experienced analysts and data scientists as a member of the embedded-and-dedicated Global Analytics & Insights team. We have an extremely unique player base, attracting a large, young, female-skewing audience. If you’re excited about creating the best possible experience for these players, come join us! Responsibilities: Research, design, implement and validate models and algorithms to analyze diverse sources of data Lead projects including: custom content classification, recommendation, segmentation, natural language processing and more Research and implement novel AI/ML approaches for new problems Use big data technologies to scale predictive models to millions of players Work closely with game development teams to deploy ML/AI applications seamlessly as part of production systems Derive actionable insights from data and communicate them throughout the organization in a clear, concise way Learn, implement and share new methodologies with our broader team Attributes: A demonstrated passion for applying data science to make business critical decisions and recommendations Hypothesis driven – using data to test ideas rigorously and objectively Strong programming skills in R and or Python and a commitment to automation wherever possible Understands the importance of good documentation and transferability of knowledge Evangelist for data democratization and empowerment of non-technical partners Able to create compelling communication for executives and translate complex technical topics to non-technical partners Flexible and adaptable while maintaining a positive attitude; views challenges as opportunities; tenacious and focused Ability to work collaboratively within the group and across business units/functions Ability to execute multiple projects and drive business results under tight deadlines Required Experience: 5+ years hands on experience in a data science role working on digital products Master’s degree required, preferred in Computer Science Proven experience analyzing extremely large, complex, multi-dimensional data sets with a variety of tools Demonstrated experience building, validating and deploying predictive models and algorithms to address real world problems. Preference for experience with several/all of the following techniques: Matrix factorization, collaborative filtering, k-means clustering, hierarchical clustering, bag of words models, TFIDF, random forest, linear regression, logistic regression, neural networks Demonstrated experience conducting and analyzing the results of complex controlled experiments, including A/B/n, multivariate, and multi-armed bandit tests Familiarity with time-series forecasting techniques Strong programming experience in either or both R and Python. Strong experience using SQL to query databases Preferred Experience with any of the following is a big plus: Big data technologies such as Hadoop, MapReduce, Hive, Pig Model production in Spark Application deployment using AWS, Virtual Machines, or Docker Demonstrated experience collaborating with engineering partners Familiarity with Snowflake data warehousing platform" Data Scientist,"Atlanta, GA",Contus,"We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company.We will rely on you to build data products to extract valuable business insights.In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.Your goal will be to help our company analyze trends to make better decisions. Required Skills: 3 Yrs to 6 Yrs Masters in Computer Science with Data Science Skills Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with common data science toolkits, such as R,Weka, NumPy, MatLab, etc. Great communication skills Experience with data visualisation tools, such as D3.js, GGplot,etc. Proficiency in using query languages such as SQL, Hive, etc. Experience with NoSQL databases, such as MongoDB Cassandra, HBase Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills Data-oriented personality Key Responsibilities: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams" Data Scientist,"Boston, MA",Cohere Health,"Cohere Health is simplifying healthcare for patients, their doctors, and all those who are important in a patient's healthcare experience. Our focus is to enable an efficient, transparent patient journey where patient goals are central to decision-making. We are a mission-driven and fast-growing company obsessed with eliminating the wasteful friction patients and doctors experience, particularly for diagnoses that require expensive procedures or medications. To that end, we build products and services that ensure the appropriate plan of care is understood and expeditiously approved, so that patients and doctors can focus on health, rather than payment or administrative hassles. This is a great opportunity for an outstanding data science professional to go in-house at a Series A healthcare technology company and learn what it takes to show the value of our products and services. You will work closely with analytics leadership, product and IT to support decision-making, and will dig into a wide range of strategic, product, and operational problems. The work will be fast-paced and project-based, with evolving needs - requiring scrappiness, flexibility, curiosity, and grace under pressure. Your work will enable Cohere to make the right investments in a critical stage for our company. This role offers the potential to grow at Cohere in data science, or potentially move to other functions as well. You will contribute to healthcare analytics from the economic and quality perspective, help build an a company, as well as wear many hats. Our team values empowerment and is committed to developing our talent. ----------------- What you will do: ----------------- Work cross-functionally to design appropriate data use capabilities across a wide breadth of analytical needs Using your expertise in healthcare data to develop effect models to improve our product. Work with IT to define analytical requirements, assess data sources to get data in house and ready for use ----------------------------------------------- A good background for success at Cohere Health: ----------------------------------------------- 5-7 years analytical experience at company where using ML/ AI were critical to the mission, preferably a healthcare company or allied health organization Good communicator Proficient in R, SQL,Python and other common analytic/ data tools Strong knowledge of EMR data, SDoH, Claims, NLP use and other important healthcare related data sources Proficient in current modeling approaches in machine learning and AI such as decision trees and Med2Vec, Patient2vec and other innovative approaches to analyzing data Master's degree in STEM, public health, finance, economics, or other related field We can't wait to learn more about you and meet you at Cohere Health!" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Information Technology Specialist (Data Scientist),"Hampton, VA",US National Aeronautics and Space Administration,"Duties Summary Serves as an Information Technology Specialist (Data Scientist) for NASA Langley Research Center (LaRC). Leads and/or serves on Center and Agency team(s) as the subject matter specialist/representative or expert to develop software programs and/or data solutions to proactively communicate trends used for workforce strategy. Responsibilities Serves as a Data Scientist, performing a combination of duties as determined by management and organizational needs. Duties includes managing and/or leading, advising on, or performing work that involves the design, documentation, development, modification, testing, installation, implementation, and support of new or existing applications software. Generate and/or apply theories, principles, practical concepts, systems, and processes related to some or all of the following areas; Data Management, Customer Support, Enterprise Architecture, Data Scientist, and Data Visualization. Applies a full range of subject matter methods, principles, practices, and evaluative methodologies sufficient to advise on or resolve a range of operational and/or strategic issues which may range from recurring through complex and unprecedented. Utilizes a wide range of subject matter practices, laws, regulations, policies, and precedents and uses a range of analytical methods to identify, evaluate, and recommend appropriate solutions. Provides written and oral communication techniques sufficient to develop and deliver briefings, project papers, status/staff reports, and correspondence to managers to foster understanding and acceptance of findings and recommendations. Researches and applies a wide range of qualitative and/or quantitative methods to identify, assess, analyze and improve products and services. Plans, directs and/or coordinates subject matter work which requires the application of the appropriate knowledge of subject matter or program area. Identifies, mitigates, and/or eliminates system and/or application security threats; develops software programs and/or hardware systems designed to neutralize security threats. Analyzes and refines system requirements; supports new or existing applications software; troubleshoots and resolves customer identified application and/or hardware issues; translates systems requirements into applications prototypes. Plans, designs, and develops systems architecture; writes, debugs, and/or maintains code; identifies, determines, and designs applications architecture; determines output media/formats. Designs, develops, and/or implements user interfaces; works with customers to design, develop and/or test applications; assures software and systems quality and functionality; and integrates hardware and software components. Drafts and/or maintains program documentation; evaluates and/or tests new applications software technologies. Ensures the rigorous application of information security/ information assurance policies, principles, and practices to the delivery of application software services. Travel Required Occasional travel - Travel may be required for training or other work-related duties Supervisory status No Promotion Potential 14 Job family (Series) 2210 Information Technology Management Requirements Requirements Conditions of Employment A one-year probationary period may be required Position subject to pre-employment background investigation Qualifications In addition to the Basic Education Requirement, you must have one year of specialized experience equivalent to the next lower grade (GS-13), which has equipped you with the particular competencies needed to successfully perform the duties of the position described above. To Qualify for the GS-14: One year of specialized is defined as experience in utilizing IT concepts, principles, methods, and practices; experience applying statistical modeling and data analytics principles and practices; experience in performance management/measurement methods, tools, and techniques sufficient to perform systems testing and evaluations; experience applying requirement analysis principles and methods, and working with COTS products and components; experience working with Internet technologies to analyze the Internet potential of systems, and data to address new and emerging information technologies and/or industry trends. AND In addition to the above specialized experience, applicants must have IT related experience demonstrating each of the four competencies listed below: Individuals must have IT-related experience demonstrating each of the four competencies below: 1. Attention to Detail - Is thorough when performing work and conscientious about attending to detail. 2. Business Relationship Management - Works with clients and customers (that is, any individuals who use or receive the services or products that your work unit produces, including the general public, individuals who work in the agency, other agencies, or organizations outside the Government) to assess their needs, provide information or assistance, resolve their problems, or satisfy their expectations; is committed to providing quality products and services. 3. Oral Communication - Expresses information (for example, ideas or facts) to individuals or groups effectively, taking into account the audience and nature of the information (for example, technical, sensitive, controversial); makes clear and convincing oral presentations; listens to others, attends to nonverbal cues, and responds appropriately. 4. Problem Solving - Identifies problems; determines accuracy and relevance of information; uses sound judgment to generate and evaluate alternatives, and to make recommendations. Education This position has no education requirements. Additional information This position is announced under Direct Hire authority. Recruitment for this position will follow guidelines established by the Office of Personnel Management for use of Direct Hire authority. If you have special priority selection rights under the Agency Career Transition Assistance Program (CTAP) or the Interagency Career Transition Assistance Program (ICTAP), you must: Indicate your eligibility when applying for a position. The USAJOBS resume asks you to identify your ICTAP eligibility; the NASA Supplemental Information asks you to identify your CTAP eligibility. Be well qualified for this position to receive consideration. See 'How You Will Be Evaluated' for NASA's definition of well qualified. Be prepared to submit proof that you meet the requirements for CTAP/ICTAP if you are selected for the position. This includes copies of your agency notice, most recent Performance Rating and most recent Notification of Personnel Action (SF-50) noting current position, grade level, and duty location. As identical vacancies are identified, additional selections may be made from this announcement. You must meet qualifications requirements by the closing date of this announcement. At NASA each organization is free to establish telework procedures that are compatible with mission requirements, while offering employees some options for work/life balance. Specific telework request will need to be approved by the immediate supervisor. How You Will Be Evaluated You will be evaluated for this job based on how well you meet the qualifications above. This position is announced under Direct Hire authority. A Human Resources Specialist will review your resume to determine if you meet the qualifications and eligibility requirements as listed in 'Requirements'. Veterans Preference and traditional rating and ranking of applicants do not apply to this Public Notice. CTAP and ICTAP candidates will be assessed using NASA STARS, an automated system that matches the competencies extracted from your resume to the competencies identified by the selecting official for the position. Based on the competencies you match, you are placed in one of three categories identified as 90, 80, or 70 point quality categories, which are defined as: 90 pt. Category - Tentatively meets (until subsequent confirmation upon referral) the basic qualification requirements identified in the vacancy announcement and has experience in the same or similar job that has demonstrated superior proficiency in the primary requirements of the position. 80 pt. Category - Tentatively meets (until subsequent confirmation upon referral) the basic qualification requirements identified in the vacancy announcement and demonstrates satisfactory proficiency in the primary requirements of the position. 70 pt. Category - Fails to meet criteria described in the 80 pt. category. For the purpose of the CTAP and ICTAP, candidates rated in the top quality (90 pt.) category are considered well-qualified. Background checks and security clearance Security clearance Not Required Drug test required No Required Documents Required Documents NASA's application process has been specifically developed to ensure that we only ask you for the information we absolutely need to evaluate your qualifications and eligibility. In order to apply for this position, you only need to submit your resume and answer the screening questions and supplemental information. No additional documentation is accepted at the time of application. (For example you need not submit narrative 'KSA' statements; they are not required and will not be evaluated.) In this way we allow you to focus on preparing a resume that best describes your background and abilities. For assistance in preparing your resume, consult the Applicant Guide. Nothing further is required until requested by the Human Resources Office. At that point, we may ask you to submit documentation to support statements made in your resume. For example, we may ask you to provide academic transcripts or proof of Federal employment status. If you fail to provide the required documents within the stated time period, we may withdraw a job offer and/or remove you from further consideration.If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating. Benefits Benefits A career with the U.S. Government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time, or intermittent. Contact the hiring agency for more information on the specific benefits offered." Environmental Scientist / Data Analyst,"Columbia, MD 21045","Versar, Inc.","Versar’s Natural Resources Service Area has a national reputation for high quality research in freshwater, estuarine, marine, and terrestrial environments. The scope of the project activity within the Natural Resources Service Area ranges from designing and implementing field studies to complex ecosystem impact assessment and resource management. The Columbia Office’s natural resources professional staff works within an informal, interactive research atmosphere that provides opportunities for individual growth and advancement. Projects are supported by an array of corporate resources including field sampling equipment, boats, biological laboratories, statistical analysis and GIS tools, and document production facilities. Versar’s is seeking an Environmental Scientist / Data Analyst to work in the Columbia, MD location. The ideal candidate will have strong skills in data management analysis, works well as a member of a team, and enjoys technical and scientific challenges. Responsibilities Technical training or experience includes the following: Data analysis and management (Microsoft Access and Excel, VBA, SQL). Statistical applications to natural resource and ecological problems (programming skills required, preferably in R and/or SAS). Perform project delivery activities such as report writing, undertaking and organizing data collection and survey field work, data and literature review, and development of recommendations for clients. Provide technical support for renewable energy projects with an emphasis on reviewing environmental aspects related to facility licensing and permitting projects. Coordinate with the State’s contractors, subcontractors, regulatory agencies, generation companies, utilities, and other interested parties during various projects. Coordinate the review and regulatory analysis for various solar facility, wind, transmission line, and electric power plant projects in compliance with local, state, and federal policy. Background in natural and/or marine resources. This position provides support to a variety of projects, including but not limited to, fisheries, marine benthic ecology, freshwater streams, watershed modeling, and water quality analyses. Job Requirements: Bachelor’s degree and 3 years of experience in a relevant discipline of the biological or environmental sciences. Good oral and written communication skills are required. Experience in technical writing is desirable. Ability to work on multiple projects in a multi-disciplinary team setting. Successful candidates must be flexible, self-starters, able to creatively solve problems, capable of good internal and external client interactions, able to meet deadlines, and assist in development of new projects." Data Scientist,"Sugar Land, TX 77478",Applus RTD,"Company Bio: Kiefner and Associates, Inc., an Applus RTD company, is a well-established engineering consultancy with headquarters in Columbus, Ohio. Kiefner provides the oil & gas industry with safety and reliability services. We offer a broad range of consulting services including fitness for service, failure analysis and material testing, stress analysis, inline inspection qualification, and training workshops.Position Purpose: Responsibilities of the Data Scientist include conducting data analytics, statistical and probabilistic modeling, optimization, data scrubbing, standardization, developing and enhancing algorithms and data analysis methodologies, and data validation on projects related to midstream and downstream energy sectors. Support Kiefner by providing integrity assurance services to the oil & gas industry; particularly the midstream. Duties and Responsibilities: Initiate, execute, and close out projects within time and budget Work independently or as member of a small team Prepare technical reports and presentations Represent Kiefner at industry conferences, trade shows, and committees Follow Kiefner QHSE standards Perform all other duties assigned Supervisory Responsibilities: N/A Knowledge and Skills: RapidMiner, R, Python, Matlab, @Risk, VBA Neural networks Naïve Bayes Classifier Statistical tools and methodologies Practical application of data science in engineering solutions Ability to work on several assignments Ability to communicate effectively; both verbally and in writing Ability to work in a team environment MS Office Suite of products Firmly adhere to the values and ethics of Kiefner. Exhibit honesty, discretion, and sound judgment Education and Work Experience: MSc or PhD in data science, applied mathematics, statistics, engineering 3+ years of experience in data science in and engineering domain (preferably midstream oil and gas) 1+ years in an engineering or consultancy environment Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position Certificates and Licenses Required: N/A Physical Activities and Requirements: The ability to listen to and understand information and ideas presented through spoken words and sentences The ability to communicate information and ideas through speech so others will understand The ability to read and understand information and ideas presented in writing The ability to choose the right mathematical methods or formulas to solve a problem The ability to see details at close range (within a few feet of the observer) The ability to tell when something is wrong or is likely to go wrong. It does not involve solving the problem, only recognizing there is a problem The ability to add, subtract, multiply, or divide quickly and correctly Sitting: Remain sitting, particularly for sustained periods of time Repetitive motions: Making substantial movements (motions) of the wrists, hands, and/or fingers Dexterity: Picking, pinching, typing or otherwise working, primarily with fingers rather than with whole hand or arm as in handling Talking: Expressing or exchanging ideas by means of the spoken word; those activities where detailed or important spoken instructions must be conveyed to other workers accurately, loudly, or quickly Walking: Moving about on foot to accomplish tasks, particularly for long distances or moving from one work area to another Hearing: Perceiving the nature of sounds at normal speaking levels with or without correction, and having the ability to receive detailed information through oral communication, and making fine discriminations in sound Sedentary work: Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading at distances close to the eyes In compliance with American with Disabilities Act (ADA), Applus+ will make reasonable accommodations that are appropriate and consistent within our legal obligations Working Conditions: The physical environment requires the employee to work inside an office environment, protected from weather conditions but not necessarily from temperature changes Occasional visits to field sites will require employee to work both inside and outside in heat/cold, wet/humid, and dry/arid conditions in temperature extremes and inclement weather The noise level in the work environment is usually quiet to moderate Ability to travel when required, nationally, up to 20% of the time No relocation is considered for this position" Data Scientist - Next Gen AI,"Menlo Park, CA",Symphony AyasdiAI,"Data Scientist Ayasdi is pioneering a newer way to understand large and complex data using Topological Data Analysis (TDA) to automatically discover insights. We use TDA to unify cutting-edge machine learning approaches into a common framework without the need to write algorithms, queries or models. We're building a platform to solve some of the world's most complex data problems and are seeking you to join our Customer Success Team as a Data Scientist. Working closely with exceptionally smart people you will balance your creative mindset with your technical knowledge to solve complex problems in new and innovative ways for some of the largest and most complex financial services challenges today and tomorrow. You will use our techniques in combination with advanced statistical and machine learning methods to solve customer problems as well as assist with prototyping new products and solutions. Job Summary: As a Data Scientist at Ayasdi, you will be ideating and creating solutions for some of the most complex problems utilizing our next generation AI analytical platform. By combining traditional ML with Ayasdi's framework you will build new groundbreaking solutions that fundamentally alter the way data is analyzed. Your technical and inquisitive aptitude will lead you to interesting datasets, but your creativity and initiative will help you find clarity with obscure information. You will collaborate with cross-functional teams to perform exploration and experimentation to build prototypes and best practices for our applications. This position will bring insight and change how our customer's approach complex problems with analytics. Responsibilities:Directly interact with customers across industries to understand and help solve their business problems. Become a master advocate and leader of Ayasdi's products Serve as a technical and subject matter expert for sales meeting and events Interact and collaborate with engineers and product managers to identify and discover insights from customers to continually develop our product. Qualifications:MS or PhD in quantitative field 3+ years utilizing Machine Learning in a financial institution or related organization Solid understanding of statistics and machine learning algorithms Ability to translate analytic ideas into code using production-quality Python code Expertise with data science toolkits like scikit-learn Experience working with TDA a plus Extremely good problem-solving skills Ability to travel infrequently" Data Science Internship,"Herndon, VA 20171","Deltek, Inc.","Are you a career-driven student looking to take your first step into the world of analytics and data science? Deltek, the leading global provider of enterprise software and information solutions for project-based businesses, is seeking interns for an 8-week program for Summer 2020. Candidates must be able to think on their feet, take initiative to assist their teams, and be willing to contribute new ideas to already established processes. Interns will receive hands-on experience to prepare them for a rewarding career in data science and analytics with Deltek after graduation. Candidates are expected to work 40 hours per week during the internship and be fully invested in the program. Start your career on the right foot by joining a Fortune 500 company that fosters and builds upon your career goals.Responsibilities: Performs statistical and exploratory analysis to identify key opportunities within our customer portfolio. Collaborates with key business stakeholders to understand source systems and their interactions. Develops and prototypes machine learning models that fulfill a business need or value. Conducts model performance analysis, audit, and documentation duties as necessary Qualifications In order to be considered for this position we would love for you to have the following: Currently enrolled in college/university with plans to graduate in May 2021 or May 2022 with the goal of pursuing a career in Data Science and Analytics Familiar with Python, Probability and Statistics, Databases, Machine Learning, and Data Visualization Ability to work approximately 40 hours per week for 8 weeks Ability to commute to Herndon, VA Please note that we do not offer relocation assistance or housing assistance through our Internship program" Engineer Machine Learning,"Santa Monica, CA 90404",InvolveSoft,"Job Description We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Reports To: Chief Technology Officer Location: Santa Monica, CA Your Role Understand business objectives and developing models that help to achieve them, along with metrics to track their progress Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Manage resources such as hardware, data, and personnel so that deadlines are met Analyze ML algorithms that could be used to solve a given problem and ranking them by their success probability Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world Verify data quality, and/or ensuring it via data cleaning Supervise the data acquisition process if more data is needed Find available datasets online that could be used for training Define validation strategies Proactively propose solutions to address customers' business problems and goals Define the preprocessing or feature engineering to be done on a given dataset Define data augmentation pipelines Train models and tune their hyperparameters Analyze the errors of the model and design strategies to overcome them Deploy models to production Qualifications BA/BS in engineering or a related field; Computer Science degree preferred Demonstrated problem-solving ability, particularly in complex technical situations Experience with a deep learning framework such as TensorFlow or Keras Proficiency with Python and basic ML libraries such as scikit-learn and pandas Expertise in visualizing and manipulating big datasets Familiarity with Linux Why you shouldn't apply If you haven't worked with international engineering teams before If you haven't had experience working on B2B platforms before If you have never directly communicated with customers/buyers in a B2B environment If you rely on structure and processes If you're not a first principle thinker or problem solver If you're not used to an agile, fast-paced, stressful environment If you want a 9 to 5 job If you're not looking for a challenge If you don't have a natural curiosity/initiative If you don't understand Software as a Service (SaaS) 8VkyAnNLlv" Data Scientist,"Blacksburg, VA",Virginia Tech,"Job no: 513091Work type: Administrative & ProfessionalSenior management: Executive VP & ProvostDepartment: Analytics & Institutional EffectiveLocation: Blacksburg AreaCategories: Data Analytics / Security, Other Job Description The Analytics and Institutional Effectiveness office at Virginia Tech is looking for creative and passionate data professionals in various roles to help develop and operationalize the data and analytical solutions that help decision makers at all levels of the institution gain necessary insights to improve services, processes, student and faculty experience, institutional effectiveness, and financial, human and facilities resource management. We are looking for professionals who are:Passionate about data and numbersInnately curious and fast learnersSelf-motivated, team players with a drive to get things done Required Qualifications BS in Statistics, Computer Science, Operations Research, Mathematics, Physics, Economics, Finance, or other quantitative disciplines.Good understanding of statistical methods and machine learning algorithmsHands on experience in collecting, integrating, processing, and analyzing dataStrong programming skills in Python, R, SQLKnowledge of open source or commercial data visualization libraries/toolsAdvanced spreadsheet skills; ability to analyze, summarize and present quantitative and qualitative information clearly. Ability to think creatively, and solve problemsAbility to work in highly collaborative and dynamic work environmentDetail-oriented but with an ability to understand the university environment and contribute broadly to a variety of university goals and projects. Preferred Qualifications MS in Statistics, Computer Science, Operations Research, Mathematics, Physics, Economics, Finance, or other quantitative disciplines.Experience in applying a broad range of quantitative techniques (statistical modeling, machine learning…) to solve real world problemsExperience in data collection, integration, processing and analysisPrevious experience in data analysis related to undergraduate student success.Proficiency in Python, RExperience in working with relational databases and proficiency in SQL scriptingExperience with open source or commercial data visualization tools/libraries such as Highcharts.js, Plot.ly, Tableau etc.Experience in cloud computing with exposure to big data technologies (AWS, Apache Spark, Hadoop, Hive) Salary Information Commensurate with experience Review Date 03/24/2020 Additional Information The successful Candidate will be required to have a criminal conviction check About Virginia Tech Virginia Tech is a public land-grant university, committed to teaching and learning, research, and outreach to the Commonwealth of Virginia, the nation, and the world. Building on its motto of Ut Prosim (that I may serve), Virginia Tech is dedicated to InclusiveVT—serving in the spirit of community, diversity, and excellence. We seek candidates who adopt and practice the Principles of Community, which are fundamental to our on-going efforts to increase access and inclusion, and to create a community that nurtures learning and growth for all of its members. Virginia Tech actively seeks a broad spectrum of candidates to join our community in preparing leaders for the world. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or veteran status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire accommodation please contact the hiring department. Advertised: March 4, 2020 Applications close:" Media Mix Modeling - Data Scientist,"Northville, MI 48167",Incite Informatics,"We are looking for someone to lead the design and execution of a media mix model for a large Enterprise. The ideal candidate will have extensive experience in media mix modeling, building statistical regressions, and interfacing closely with team members from different disciplines. Job Description for MMM Data Scientist The Job: >Build Multi-Touch attribution models (MTA) and marketing mix models (MMM) to analyze ROI from marketing spend, optimize spend allocation by channel, and identify key sales drivers. >Design the model structure, variable entities, and variable transformations >Build analytic attribution models and marketing mix models using advanced statistics, econometrics, and/or machine learning techniques such as logistic regression, choice model, time-series model, panel data model, Bayesian statistics, ridge regression, structural equations, probability theory, clustering algorithms, decision trees, etc. >Quantify the impact of paid media, organic media, web navigations, and individuals’ propensities on multi-step conversion activities in the consumer journeys >Analyze third party tracking data to understand the customer journey, key indicators of purchase intent, and sales drivers. Understand media overlap, reach, frequency, and targeting effectiveness. >Validate the model using statistical diagnostic techniques, attribution results, ROI, forecasting, simulation and optimization >Conduct rigorous QA of model to ensure accuracy and effectiveness. Skills, Talents, Experience You Will Need: > Algorithmic Attribution or Last Click Attribution > Predictive Models, Marketing Mix Models, Shopping Basket Analysis, Targeting and Next Best Actions. >Academic or professional work experience in marketing mix modeling, digital attribution modeling, multivariate regression, time-series modeling, Bayesian statistics, segmentation modeling, machine learning, data mining, simulation, optimization, and/or forecasting >Technical or programming skills to solve large-scale information, online search, online advertising attribution and online/offline marketing optimization problems >Experience with Hadoop, Hive, SQL, R, Python, Spark, Matlab or similar is required >5+ years of quantitative analytics experience with marketing metrics and tracking, marketing analytics, and attribution modeling is highly desirable >2-5 years of work in digital AdTech industry with thorough understanding of digital metrics is highly desirable >Bachelor’s degree (required) or above (preferred) with mathematical or engineering background: Statistics, Data Mining, Operations Research, Econometrics, Finance, Engineering or similar >Ability to communicate well with team members from different disciplines (marketing, data science etc.)" Statistical Data Analyst,"El Segundo, CA",AEG,"AEG Company: Los Angeles Kings Hockey Club Company Information: AEG Worldwide is the world’s leading sports and live entertainment company with operations in the following business segments: AEG Presents, which is one of the largest live music companies in the world dedicated to live contemporary music performances, including producing and promoting global and regional concert tours, music events and world-renowned festivals AEG Sports, which is the world’s largest operator of sports franchises and high-profile sporting events AEG Global Partnerships, which supports each of AEG’s divisions through worldwide sales and servicing of sponsorships including naming rights, premium seating and other strategic partnerships With offices on five continents, the company uses its global network of venues, portfolio of powerful sports and music brands, ticketing and content distribution platforms and its integrated entertainment districts to deliver the most creative and innovative live sports and entertainment experiences that inspire athletes, teams, artists and fans. JOB DESCRIPTION: The Business Analyst will support both the hockey and business operations departments and will apply advanced statistical techniques to identify patterns in data to drive actionable insights to both groups. This individual will be required to understand how to collect, store, manipulate, query and utilize essential data for the purpose of analysis. The analyst will work closely with the Sr. Analyst, Hockey Operations and Sr. Manager, Data & Analytics to drive insights for both groups. ESSENTIAL FUNCTIONS: Apply statistical techniques to find innovative recommendations to provide to hockey operations & business operations in order to integrate these recommendations into strategic decision making. Identify, analyze and interpret trends and patterns from complex data sets by using an array of technical/analytical tools such as R, Python, SQL Collaborate with and provide instruction to database engineers in order to build data foundation, which is used to create analytic models, ensuring it is properly structured for statistical analysis. Create data visualizations within PowerBI, SAS or other software in order to clearly display KPIs (key performance indicators) such as revenue to goal, team performance, etc. Undertake other duties as requested by the Sr Analyst Hockey Operations and the Sr. Manager, Data & Analytics Business Analyst Run analytical experiments in a methodical manner, and regularly evaluate alternate models via theoretical approaches representing the likelihood of a range of outcomes. Interpret and communicate results and ideas to key decision makers including presenting ranges of outcomes in order to evaluate the feasibility of strategies/future decisions. Independently research and remain up to date with current technology trends; Implement new statistical or other mathematical methodologies as needed for specific models or analysis. SPECIFIC JOB KNOWLEDGE, SKILL AND ABILITY: The Statistical Data Analyst must possess the following knowledge, skills and abilities and be able to explain and demonstrate that he or she can perform the essential functions of the job, with or without reasonable accommodation, using some other combination of skill and abilities: QUALIFICATION STANDARDS: Education: Bachelor of Arts/Sciences Degree (4-year) in Mathematics/Statistics/Business (Advanced degree preferred) Experience: A minimum of 2-4 years of related work experience 2+ years’ experience in analyzing data Strong communication skills, with the ability to create relationships and work independently Ability to code in any statistical software, like R, SAS and/or Python Familiarity with database structure and SQL Ability to interact with all levels of management and staff. Familiarity with cloud computing services like Azure Ability to translate data findings into clear, concise summaries/presentations for both technical and non-technical audiences. Experience with working with hockey analytics, ticketing and/or transactional data Team player who enjoys working in a high achieving and innovative environment, with a commitment to be top of class AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside his/her normal description" Data Scientist,"Reston, VA 20191",CareFirst BlueCross BlueShield,"Resp & Qualifications PURPOSE: As a Data Scientist, you will:Join a brand new team of machine learning researchers with an extensive track record in both academia and industry.Bring a combination of mathematical rigor and innovative algorithm design to create recipes that extract relevant insights from billions of rows of data to meaningfully improve health outcomes. Provide members with useful, powerful tools for self-evaluation and tracking of health issues and risk factorsCreate thoughtful solutions that engage and empower members to make more informed decisions about their health and healthcareDevelop statistical models and functional means for measuring the quality of health care members receive annuallyLearn, develop, and apply new techniques in the intersection of math, probability, and optimizationInteract with and report to an audience that includes Directors, Vice-Presidents and the C-level executives Some examples of the problems you might tackle in your new role:How do we leverage our data that allow us to understand the unique needs of our members to support seamless care delivery that engages our members, supports our providers and improve health outcomes?How can we integrate genetic information, Electronic Medical Record data, and rich dynamic phenotypic information will enable sophisticated patient segmentation, revealing biologically distinct subgroups and pointing the way to precisely targeted treatments?PRINCIPAL ACCOUNTABILITIES: The Data Scientist Analytics role has work across the following four areas:Exploratory AnalysisUnderstanding ecosystems, user behaviors, and long-term trendsEvaluating and defining use cases for potential product ideasIdentifying levers to help move key metricsEvaluating and defining metricsBuilding models of user behaviors for analysis or to power production systemsData InfrastructureWorking in Hadoop and HIVE primarily, sometimes DB2Authoring pipelines via SQL and Spark or Python based ETL frameworkBuilding key data sets to empower operational and exploratory analysisPerforming and automating analyses using statistical language RProduct OperationsDesigning and evaluating experiments monitoring key product metrics, understanding root causes of changes in metricsBuilding and analyzing dashboards and reportsProduct LeadershipInfluencing business partners through presentation of data-based recommendationsCommunicating of state of business, experiment results, etc. to internal and external partnersSpreading best practices to analytics teamsProposing what to build in the next roadmap This position is also subject to being ""on call"" for emergency situations requiring immediate resolution. Travel between all CareFirst locations may be required.Minimum Qualifications:Required experience, abilities and skills:Degree in Computer Science, Statistics, Operations Research, Mathematics or related field or equivalent.3 years research or industry experience.Good background in machine learning using unsupervised and supervised methods. Track record of leveraging large amounts of data to solve real-world problems.Fluency in SQL or other programming languages. Some development experience in at least one scripting language (PHP, Python, Perl, etc.)Ability to initiate and drive projects to completion with minimal guidanceThe ability to communicate the results of analyses in a clear and effective manner Preferred: Master’s Degree in Mathematics or related discipline Preferred experience with a statistical package such as R, MATLAB, SPSS, SAS, Stata, etc.Preferred experience with a Healthcare company.Experience with large data sets and distributed computing (Hive/Hadoop) a plus. #LI-CS1 Department Equal Employment Opportunity CareFirst BlueCross BlueShield is an Equal Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Hire Range Disclaimer Actual salary will be based on relevant job experience and work history. Where To Apply Please visit our website to apply: www.carefirst.com/careers Closing Date Please apply before: 3/19/2020 Federal Disc/Physical Demand Note: The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes him/her ineligible to perform work directly or indirectly on Federal health care programs. PHYSICAL DEMANDS: The associate is primarily seated while performing the duties of the position. Occasional walking or standing is required. The hands are regularly used to write, type, key and handle or feel small controls and objects. The associate must frequently talk and hear. Weights up to 25 pounds are occasionally lifted. Sponsorship in US Must be eligible to work in the U.S. without Sponsorship" Data Scientist,"San Diego, CA",Harnham,"JOB TITLE Data Scientist SALARY Up to $130,000 LOCATION San Diego, CA THE ROLE A highly successful consultancy operating within the credit risk/fraud industry is looking to expand their Data Science Team in line with their continued growth. This is an exiting and broad role offering the opportunity to work with a range of clients within the automotive, retail and mortgage spaces. The core work involved will be the application of machine learning techniques in the detection and prevention of fraud, as well as identifying credit performance and avenues to reduce risk. Given that each of the business' clients is unique, you'll be working on constantly evolving projects and have the benefit of having involvement/ownership from start-to-finish. THE COMPANY: A very successful series A start-up consultancy, well established, well funded and respected within their target market (credit/fraud risk). Plans in place to continue growth and further funding to support this. TEAM: A small but high-performing team offering lots of room for progression and encouraging collaboration and exploring new ideas. CULTURE: Hard working but realistic with a really developmental leader and a strong sense of team. YOUR SKILLS AND EXPERIENCE Strong communication skills and the ability to translate complex concepts into simple terms Previous experience with fraud identification/credit risk would be a plus but not essential Strong technical skills, key tools being Python and Scikit-learn. Experience working on Unix/Linux systems would be a plus Ability to work to tight deadlines and work on multiple projects simultaneously THE BENEFITS This role offers a generous salary of up to $130,000 plus lucrative bonus HOW TO APPLY Please register your interest by sending your CV to Anthony Sanderson via the ""apply"" link on this page" Data Scientist,"San Francisco, CA",Onward Search,"Global Music Entertainment firm in San Francisco is seeking a Data Scientist for a 6 month contract. We are looking for candidates with the following skillset and experience. What You'll Do Work closely with cross-functional teams of research and data scientists, product managers, designers, policy teams and engineers. Deliver dashboards and analyses related to our algorithmic impact, and prepare reports for teams and stakeholders Develop a deep understanding of how products and platforms influence behavior. Who You Are You know how to scope and solve loosely defined problems and come up with actionable insights to guide product, business and policy decisions You have a deep understanding of statistics and experience working with real-world data. You have relevant experience, with a degree in statistics, mathematics, computer science, economics, psychology, HCI, data science or another quantitative discipline You have the technical competence to perform advanced analytics: coding skills (such as Python), experience with analytics tools, and experience performing analysis with large datasets (SQL/BigQuery, R, Python), and building (Tableau) dashboards. You possess statistical competence (such as regression modeling, a/b testing, significance testing, anomaly detection, etc) Bonus! Demonstrated experience with hands-on statistical modeling and possess knowledge about machine learning and how decisions in the Machine Learning and recommendation lifecycle affect outcomes. Have a demonstrated interest in platforms’ algorithmic responsibility and impact on society Does this sound like you? Apply today! Employer Details: Onward Search is an equal opportunity employer, dedicated to a policy of non-discrimination in an employment with regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, veteran status or any other classification protected by federal, state and local laws and ordinances. Candidates must be at least 18 years old to be considered for employment. EOE/M/F/D/V/SO. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. The client is unable to support 1099 / Corp-to-Corp or Independent Contractor arrangements at this time. All freelancers will be paid as W2 employees. Onward Search is a drug-free workplace." Staff Data Scientist,"San Francisco, CA",Harnham,"JOB TITLE Staff Data Scientist SALARY Up to $200,000 plus fantastic benefits package LOCATION San Francisco THE ROLE A well established start-up with a very successful communication software product are looking to make an experienced hire into their Data Science Team. The business is profitable and now looking to expand their footprint in the market and drive forward into the next evolution in their development, as such this is a key hire for the business and has huge potential for progression. The role will involve leading on data analysis in order to identify opportunities for business growth, as well as modelling for retention, content personalization and lifetime value prediction. You'll have an opportunity to play a key role in the growth of the business and act as a key adviser to stakeholders in regards to the strategy employed to do so. From a modelling perspective, you'll have full end-to-end responsibility from concept to deployment. COMPANY: A well established and profitable start-up in the communications software space. TEAM: A small but agile and highly collaborative team of Data Scientists and Engineers. CULTURE: Mature, autonomous and passionate about develop both their product and their people. YOUR SKILLS AND EXPERIENCE Strong SQL and Python skills. Excellent communication skills and the ability work effectively with other teams in a fast-paced and dynamic environment. The ability to influence stakeholders and communicate complex concepts clearly. Experience with utilising both machine learning and advanced analytic techniques. Able to carry out in depth analysis to solve problems that are not always clearly defined. Experience in model development and experimentation, including A/B testing. THE BENEFITS A salary of up to $200,000 plus a great benefits package including unlimited annual leave and flexible/home working. HOW TO APPLY Please register your interest by sending your CV to Anthony Sanderson via the ""apply"" link on this page" Data Scientist / Engineer,"Franklin, TN 37067",CyberCoders,"Data Scientist / Engineer If you are a Data Scientist / Engineer with experience, please read on! Based in Franklin, TN we are a venture-backed startup that has grown into one of the nations leaders in healthcare software. Helping hospitals, healthcare centers, and rehab centers continue to help more people by utilizing our data-driven solutions. Looking to keep expanding, we are in immediate need of hiring a Data Scientist to join our team. Top Reasons to Work with UsStartup cultureLeading healthcare technologyExcellent benefitsRapidly growing industry What You Will Be DoingGenerate and test hypotheses and analyze and interpret the results. Participate in the development and maintenance of optimal data pipeline architectures. Identify, design, and implement processes for automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Navigate complex datasets for data mining, and profiling, as well as identifing related data that is fundamental to successfully applying predictive and machine learning techniques. Design, develop, and evaluate predictive models and algorithms that lead to optimal value extraction from the data in order to support business process improvements and solve business challenges. Build analytics tools that utilize the data pipeline to provide actionable insights into customer growth, operational efficiency and other key business performance metrics. What You Need for this Position 3+ years of relevant experience working with:Data engineering, pipelining and wrangling tools, data visualization and modeling tools Data management approaches such as relational databases, data schemas, object stores, column stores, etcApplication of statistics, programming, data modeling, simulation, and advanced mathematics to business questions for data analysis In depth knowledge in one or more of the following technical areas: AWS EMR, Python, Spark, R, Shiny, and associated packages and libraries.Thorough knowledge of and exposure to cloud architectures across NoSQL, lambda functions, kafka, sagemaker, tensorflow, etc. What's In It for You16 days PTO!!!Excellent benefits package401(k) match up to 4% without a vesting period!1 day remote per weekCasual dressFree snacks and drinks in office So, if you are a Data Scientist / Engineer with experience, please apply today!Applicants must be authorized to work in the U.S.CyberCoders, Inc is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. Your Right to Work – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire." Data Scientist Condition Based Monitoring Engineer,"Houston, TX 77057 (Greater Uptown area)",System One,"Data Scientist Condition Based Monitoring Engineer Houston, TX System One is currently seeking a Data Scientist Condition Based Monitoring Engineer for a DIRECT HIRE position located in Houston, TX.Data Scientist Condition Based Monitoring Engineer Responsibilities Perform process and controls analysis using Failure Mode and Criticality Effects Analysis and other applicable methods Design and build analytical models, including diagnostic, descriptive, prescriptive, and predictive analytics for equipment operating in the field Perform advanced statistical analyses Reporting to the Director of R&D, the Data Scientist / Condition Based Monitoring Engineer will determine sensor deployment to increase the uptime of completions equipment for our customers Use data mining, machine learning and other tools to design and develop recommendation engines, predictive models, scoring algorithms and other data products which drive user segmentation, engagement, retention, monetization to support our customers Perform process and controls analysis using Failure Mode and Criticality Effects Analysis and other applicable methods Research and develop cutting edge analytics projects from concept to market Perform calculations for energy analysis, fluid flow, velocity, and others as required Design simulation and test methods to prove system designs Design and build analytical models, including diagnostic, descriptive, prescriptive, and predictive analytics for equipment operating in the field Determine opportunities and needs around the use of machine and deep learning for help in prescriptive and predictive analytics, automation, and model training Work with technology team to design scalable models and deploy models into the real-world Discover, clean, and transform data as needed Perform advanced statistical analyses Coordinate with engineering teams and work alongside engineering teams as a trusted partner Specify control components such as valve actuators for mobile equipment Select and size instrument and sensors equipment Work closely across internal departments providing value added solutions for our customers Work closely with third-party vendors while building prototypes for testing Other tasks as required Prepare training materials for Business Development and Customer audiences Adhere to all policies, utilize appropriate PPE and actively participate in monthly safety meetings.Data Scientist Condition Based Monitoring Engineer Requirements: Masters Degree in Computer Science, Engineering, Statistics or other related area of study PhD in Computer Science, Engineering, Statistics or other related area of study is strongly preferred 8+ years' experience preferred Strong quantitative background with applied statistics skills, such as distributions, statistical testing, regression, etc. Familiarity with predictive modeling, machine learning, and data mining techniques and algorithms Experience with common data science toolkits, such as Python, R, MatLab, etc. Excellence in at least one of these is expected Data visualization tools, such as GGplot, Tableau, D3.js is preferred Scripting language experience, such as Java, Perl, PHP, or Python is preferred Proficiency with SQL Hadoop/Hive/Pig/Spark is a plus ETL workflows and scheduling is a plus Strong analytical, organizational, and problem-solving skills Strong interpersonal, presentation, and communication skills, both verbal and written along with an understanding of how to present results such that they are meaningful across multiple levels of management Ability to function in a consultative role and lead a team or project Ability to effectively teach and train fellow team members on models, processes or tools Ability to collaborate and coordinate with multiple teams and team members Must be able to meet deadlines and work with little or no supervision Experience working with formal project management methodologies is preferredDuration: Direct Hire Location: Houston, TX Pay Rate: $100,500- $129,300 Relocation is offered for the right candidate" Market Research Data Scientist,"Teterboro, NJ",Zing Professional Recruiting - a Peoplelink Group Company,"A leading manufacturer is looking for a Market Research Data Scientist professional for their New Jersey location. This is a great opportunity with growth potential.GENERAL SCOPE:Responsible for, with direct report to Manager, Consumer Insights, supporting all CI functions including (but not limited to) recruitment, fielding, and report creation for all consumer, product and market research studies to support strategic internal and client-based consumer insight projects.DUTIES AND RESPONSIBILITIES:Maintain company’s proprietary Consumer Insights PanelRecruit for all internal panel tests, including initial recruit, reschedules, and cancellationsTrack panelist attendance and compensation in a panelist databaseField all internal panel tests in the company CI center, including neat sniff tests, booth tests, and on site in-use testsMaintain company’s incentives, including ordering and tracking of distributionDownload and format all internal test results for delivery to the Project Owner. May include initial analysis of results where applicableMaintain the CI Retain Storeroom, and discard test products as necessaryPurchase market products necessary for panel testsSupport of CI team as neededEDUCATION AND EXPERIENCE:Bachelor’s degreeMinimum 2 years’ experience in consumer insights, market research, or analytics, preferably within fast moving consumer goods (FMCG)Should have knowledge in the design and execution of qualitative and quantitative consumer and product research studies.Should have statistical skills with a familiarity with statistical packages and the ability to create and interpret data.Must have an analytical mindset, with the ability to think beyond the current taskSensory experience/knowledge a plus.PERSONAL CHARACTERISTICS:Time ManagementStrong skill in attention to detail and accuracyHigh initiative/Action orientedEfficientProactive and Independent; Ability to Self-manage and meet deadlinesStrong written and oral communication skillsStrong analytic and critical thinking skillsHigh level of curiosity to uncover consumer who, how, whyStrong interest in new products, innovation, and specifically the fragrance and flavors industryProficient in advanced Microsoft Office, particularly PowerPoint and ExcelFamiliarity/ Mastery/ ability to quickly learn all Mane CI toolsCreative thinkerEntrepreneurial spiritTeam PlayerCustomer focusedPlease send your qualified resume for immediate consideration.Job Type: Full-timeExperience:survey programming: 2 years (Required)Statistical Analysis: 2 years (Preferred)Work authorization:United States (Required)Benefits:Health insuranceDental insuranceVision insurance" Quantitative Data Scientist,"Columbus, OH",Analytic Recruiting,"Quantitative Data Scientist Job Description: A global fundamental long/short hedge fund based in Columbus, Ohio is seeking a quantitative Data Scientist to work closely with the investment team. You will work on a mission critical software component which helps to automate, improve and expand their investment idea generation platform.You can expect to work on analyzing very large financial and other data sets (including text).The ability to study and model outcomes based on statistical and machine learning techniques to discover patterns and signals is critical. Qualifications: Minimum education of bachelor's degree in engineering, statistics, mathematics, computer science or related discipline emphasizing scientific inquiry; master’s degree preferred Minimum of three years of applicable work experience Willingness to adapt in order to thrive in a collaborative startup environment Must be authorized to work in the U.S. Required Skills: Statistical languages like R, Python etc. Experience in working with tools like Excel, PowerPoint and other visualization tools like D3, Business objects, Ggplot to present outcomes to the firm Querying languages like SQL, Hive etc. Advanced pattern recognition and predictive modeling Experience with NoSql databases Good scripting and programming skills Keywords: Data, Science, R, Python, SQL, pattern recognition, predictive modeling Please refer to job 23812 and send an updated resume to denis@analyticrecruiting.com" Senior Data Scientist,"Baltimore, MD",CyberCoders,"Senior Data Scientist Want to work with a cutting-edge software company leveraging AI/ML to slash employee turnover & predict employee performance upon hire? Excited about high-growth, fast-paced startups and the opportunity to take ownership of projects/challenges? We are a venture-backed software company revolutionizing the way that healthcare facilities hire and retain employees, with EVERY SINGLE ONE of our hundreds of clients reporting improvement in turnover. We're looking for a Senior Data Scientist to lead new development of ML/AI methods for our applicant and employee data. If you're an innovative individual with strong experience, we'd love to talk to you about joining our office in Baltimore, MD! What You Will Be DoingUsing data science methods for the development of innovative solutions supporting various business functionsUsing ML & statistical models to prototype solutions & assist with implementationIdentifying and leading improvements to existing data science processes & modelsContributing to internal tools & librariesMentoring junior members of the teamAdding documentation & code to our knowledge base What You Need for this Position3+ years' experience as a Data Scientist in a production environment MS or PhD in Computer Science, Physics, or other relevant fieldStrong Python or R programming skillsStrong familiarity with tools & libraries for data scienceExperience resolving real-world problems by developing & deploying ML models (deep learning &/or NLP experience desired, not required)Excellent SQL abilityExperience working in an Agile environment What's In It for YouCompetitive SalaryFlex Scheduling (can work remote)Competitive standard health, PTO, etc. benefitsEquity So, if you are a Senior Data Scientist with experience, please apply today!Applicants must be authorized to work in the U.S.CyberCoders, Inc is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. Your Right to Work – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire." Senior Data Scientist,"Chamblee, GA",Smart-tek,"Senior Data Scientist full time role in Chamblee GaDo you possess excellent problem solving abilities, programming skills and a passion for creating innovative applications?Are you interested in working with one of the largest data repositories in the world today, soon to exceed 1 Exabyte?Do you see yourself as an integral part of a highly skilled, multidisciplinary team solving hard data science problems through ground-breaking innovations and bringing them to real production?Do you feel comfortable in challenging problem solving environments where the issues confronting you often have no pre-set solutions, require first-principles thinking and need to be addressed on tight deadlines?If you answered YES to the above, we have the ideal opportunity for you!!Cutting Edge Computer Intelligence Firm in Atlanta Metro Area (Chamblee/Dunwoody)Location: Chamblee, GAOn site only - no remoteBenefits: Health, Dental, Vision, PTO, Paid Holidays, 401K, Maternity/Paternity LeaveDescription:As a Senior Data Scientist you’ll work closely with your fellow data scientists and engineers toanalyze build and deploy data science models at scale in the areas of ad fraud detection, propensity modelling,segmentation to name a few. Ultimately, you should be able to handle terabytes of data and come up within insightful and impactful data science driven systems. Some of current cool Data Science problems we are handling are House hold-consumer-device graph mapping, demographic inference, brand propensity modelling,location fraud identification, cross device matching, credit risk modelling etc.Responsibilities: Perform exploratory data analysis and uncover impactful insights by analyzing tera byte scale dataBuild predictive models using cutting edge machine learning and deep learning algorithms to detect fraud, inferdemographics, behavioral propensity scoring and deploy them in production settingsResearch on AI techniques that could help to enrich the data repositoryImprove the existing models to increase the coverage and accuracyBuild & deploy models in production and maintenanceBasic Qualifications: 3-4 years of experience in working on data science and data engineering related problemsHave a good record of academic publications in reputable journals and conferencesExperience in the entire application lifecycle (defining requirements, designing, coding, testing,debugging and production maintenance)Comfortable programming with Scala/Python/ JavaExperience with distributed (multi-tiered) systems, relational databases and graph based storagesolutionsPrior experience with projects in machine learning and thorough theoretical understanding of Supervisedlearning (regression, classification) and Unsupervised learning (clustering, anomaly detection) algorithmsFamiliarity with Apache Spark, SQL and data science tool kits like Scikit-learn, Spark MLlib and H2O aremust have skill sets.Experience in Machine learning algorithms (decision trees, random forest, XGBoost, multivariate andlogistic regression, KNN, Clustering algorithms (Sub-Space, DB-Scan etc), deep learning, etc.)Familiarity with Distributed machine learning production ready librariesStrong understanding in text mining is a plus (LDA & Deep learning driven latent feature extraction)Experience in econometrics based modelling (bivariate regression, multi variate regression, survivalanalysis, panel data regression etc.)Experience with data visualization software such as Tableau or QlikViewHighly skilled in data and math/statistical methods (i.e. modeling, algorithms)Experience in processing, filtering, and presenting large quantities (Millions to Billions to Trillions ofrows) of mobile ad industry dataPreferred Qualifications: Strong collaboration skillsWork well with ambiguous/undefined problems; ability to think abstractlySelf-starter with an ability to tackle data science problems at scaleAbility to operate in a fast-paced environment and manage multiple competing prioritiesAbility to think innovatively and creatively about ambiguous technical and business problemsJob Type: Full-timeSalary: $95,000.00 to $150,000.00 /yearExperience:Data Science: 3 years (Preferred)SCALA: 1 year (Preferred)JAVA: 1 year (Preferred)SQL: 2 years (Required)Python: 1 year (Preferred)Location:Chamblee, GA (Required)Work authorization:United States (Required)Work Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleThis Job Is Ideal for Someone Who Is:Adaptable/flexible -- enjoys doing work that requires frequent shifts in directionAchievement-oriented -- enjoys taking on challenges, even if they might failThis Company Describes Its Culture as:Detail-oriented -- quality and precision-focusedInnovative -- innovative and risk-takingSchedule:Monday to Friday" "Chief Data/BI Scientist - SQL, Python/R, Spark/Hadoop","Santa Monica, CA 90401",CyberCoders,"Chief Data/BI Scientist - SQL, Python/R, Spark/Hadoop If you are a Chief Data/BI Scientist with experience, please read on! We set you up to experiment faster, with less friction. We help you uncover new revenue opportunities, and deliver AI-powered recommendations to focus your budget on strategies with the highest impact. We are VC-backed and have recently closed our seed funding. We're looking for our first hires, who will be instrumental in shaping the product and success of the company. Our office is located near the beach and third street promenade in beautiful Santa Monica. We have led data science teams at Facebook and PayPal, built, and sold companies, and built the core tech behind several startups. What You Will Be DoingApply your expertise in quantitative analysis, data mining, and the presentation of client data to see beyond the numbers and understand how our users interact with both our consumer and business products.Partner with Product and Engineering teams to solve problems at scale and identify trends and opportunities for the companyInform, influence, support, and execute our product decisions and product launches.Must have expertise in the following analysis areas:Business / Performance ForecastingDesigning and evaluating experimentsIdentifying new levers to help move key metricsMonitoring key product metricsEvaluating and defining metricsUnderstanding root causes of changes in metricsBuilding and analyzing dashboards and reportsBuilding key data sets to empower operational and exploratory analysisUnderstanding ecosystems, user behaviors, and long-term trendsBuilding models of user behaviors for analysis or to power production systemsInfluencing product teams through presentation of data-based recommendationsCommunicating state of business, experiment results, etc to product teamsSpreading best practices to analytics and product teams What You Need for this Position3+ years experience doing quantitative analysis at a top-tier tech companyDeep understanding of customer analytics BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical fields from top-tier institution (Graduate degrees preferred)Experience in SQLDevelopment experience in Python or RAbility to communicate the results of analyses with product and leadership teamsUnderstanding of statistics (e.g., hypothesis testing, regressions)Experience manipulating data sets through statistical software (ex. R, Pandas) or other methodsExperience with distributed computing Spark/HadoopExperience with Amazon Redshift and Athena is a plus What's In It for YouCompetitive Salary and EquityWork with the Directly with Founders to Growth a Startup from Ground UpHealth (Covered at 99% of Employee, 75% of dependents)Vision & Dental CoverageUnlimited VacationSetup Your Own Kit (Buy what you need to get a comfortable work environment)401k Retirement Savings PlanGym and Education ExpenseMeal & Coffee CardFree Snacks and DrinksProfessional Development Expenses (Conferences & Courses)Performance BonusesPublic Transport Commuter HelpRelocation Costs (if applicable) So, if you are a Chief Data/BI Scientist with experience, please apply today!Applicants must be authorized to work in the U.S.CyberCoders, Inc is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. Your Right to Work – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance." Data Scientist,"Santa Fe Springs, CA",Elwood Staffing,"Data Scientist $95K-$130K – Direct Hire Santa Fe Springs, Los Angeles, CA COMPANY PROFILE: Founded as a small tool and die shop in 1958, We have gone on to become a global designer and manufacturer of premium movement solutions and with extensive resources, a deep understanding of design and manufacturing, and a solid reputation as a pioneer in the quality movement solutions.WHAT THIS COMPANY OFFERS YOU: Great benefits including Health, vision and dental plans, PTO and holidays, Life Insurance, Short and long-term disability plans, 401 Retirement plans with company contribution. Amazing company that provides incentive and recognition programs.THE ROLE YOU WILL PLAY: Data Scientist We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Develop company A/B testing framework and test model quality. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy.COMMUNITY: Santa Fe Springs, CABACKGROUND PROFILE: Data Scientist We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field. Strong problem-solving skills with an emphasis on product development. Experience using statistical computer languages to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Experience with: Google Analytics, Search Console, Zendesk Chat and Support, Magento, SugarCRM, Google Advertising and Bing Ads, Data warehouse connectors: Redshift & Google BigQuery, BI connection to Tableau, RDBMS connectors Please send resumes to daniel.oliver@elwoodprofessional.com" Data Science Analyst,"Louisville, CO",CyberCoders,"Data Science Analyst Job Title: Data Science AnalystJob Location: Louisville, CORequirements: Python, R, Data Analysis We are an innovative media-streaming public company, and we are committed to delivering value to our customers. What You Will Be Doing Create, test, develop, deploy, and support predictive models to support recommendations Design, execute and evaluate A/B tests Build predictive models through techniques such as machine learning, collaborative filtering, etc What You Need for this PositionData AnalysisPython and/or RMachine learningSQL So, if you are a Data Scientist with experience, please apply today!Applicants must be authorized to work in the U.S.CyberCoders, Inc is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. Your Right to Work – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire." Senior Data Scientist,"San Diego, CA",Harnham,"JOB TITLE Senior Data Scientist SALARY Up to $160,000 LOCATION San Diego, CA THE ROLE A highly successful consultancy operating within the credit risk/fraud industry is looking to expand their Data Science Team in line with their continued growth. This is an exiting and broad role offering the opportunity to work with a range of clients within the automotive, retail and mortgage spaces. The core work involved will be the application of machine learning techniques in the detection and prevention of fraud, as well as identifying credit performance and avenues to reduce risk. Given that each of the business' clients is unique, you'll be working on constantly evolving projects and have the benefit of having involvement/ownership from start-to-finish. THE COMPANY: A very successful series A start-up consultancy, well established, well funded and respected within their target market (credit/fraud risk). Plans in place to continue growth and further funding to support this. TEAM: A small but high-performing team offering lots of room for progression and encouraging collaboration and exploring new ideas. CULTURE: Hard working but realistic with a really developmental leader and a strong sense of team. YOUR SKILLS AND EXPERIENCE Strong communication skills and the ability to translate complex concepts into simple terms Previous experience with fraud identification/credit risk would be a plus but not essential Strong technical skills, key tools being Python and Scikit-learn. Experience working on Unix/Linux systems would be a plus Ability to work to tight deadlines and work on multiple projects simultaneously THE BENEFITS This role offers a generous salary of up to $160,000 plus lucrative bonus HOW TO APPLY Please register your interest by sending your CV to Anthony Sanderson via the ""apply"" link on this page" "Data Scientist - Charlotte, NC","Charlotte, NC 28202 (Dilworth area)",Vaco,"We are looking for a Data Scientist to join our client's team in Charlotte, NC. This person will be responsible for making sense of complex data and helping to derive greater value from their data. They will own projects end-to-end. They will work with data consumption, data modeling, algorithm development and evaluation, and production deployment. They will improve their simulation, optimization and prediction capabilities. Advanced degree in operations research, machine learning, or a related field and 2+ years of relevant industry or academic experience Python and SQL coding experience Strong analytical and problem solving skills and a deep understanding in at least one sub-area of operations research or machine learning Experience collaborating with cross-functional species like product managers, data engineers, and data analysts Strong attention to detail" Data Scientist,"Washington, DC","ARDX, Inc.","***Applicants must apply online at www.ardx.net******Applicants must apply online at www.ardx.net***The primary duty of the Data Scientist is to lead the development of complete large-scale data analytics and automation processes for qualitative and quantitative analysis. The position will support the ARDX’s efforts to tame and analyze complex data for policy development, including train data models. The position will apply machine learning and statistical techniques to healthcare and clinical data to create immense value for health systems, and strategic policy organizations. These methods will be used to study clinical practices, healthcare payment outcomes, and implement policies and interventions related to healthcare cost, population health, and decision science. The Individual in this role is expected to be comfortable working as a software engineer, big data management expert, and a quantitative/quantitative researcher. The position will interact closely with ARDX customer base with responsibility for regulating and administering Federal, State, and Local healthcare programs, including Medicare (Traditional, Medicare Part C and Part D), Patient Protection and Affordable Care Act (PPACA), and Medicaid. This individual will also be effective in a variety of roles, making critical decisions and overcoming complex technical and analytical challenges. The position will support all activities for data automation and summarization for the Medicare, PPACA, and Medicaid programs. The position will also support ARDX’s internal efforts for process monitoring and continuous improvement. The individual will report to a supervisory program manager and support development of all data requirements to translate the business needs. The individual will also be an active participant on the integrated project team responsible implementing the end-to-end requirements with clients and will be required to consult with the client for approval on data approaches.Duties: Apply experience with from healthcare data and informatics environments to lead large data acquisition (formatted and unformatted), data mining, Natural Language Processing (NLP), and analysis projects; data types and sources will vary but will certainly include claims data, enrollment data, person level data, clinical data and transformation of data from natural text to appropriate data formats for further analysis and modeling.Develop NLP processes as needed to be responsive to qualitative information processesWork closely with members of a data analytics team to identify and answer important healthcare questions with appropriate statistical techniquesCreate and manage protocols for the analysis of data collected through large data environments, the course of usual clinical care, mobile technologies, and by other passive meansDesign and execute research projects utilizing advanced computational techniques to generate novel insights and to build decision support systemsCommunicate findings to ARDX leads and external customersDrive the collection of new data and the refinement of existing data sourcesWork closely with a team of developers and researchers to conduct scholarly work at the intersection of healthcare payment outcomes and informaticsTranslate business and analysis requirements into data models and requirements for customers end-user consumption.Synthesize complex and sometimes contradictory information into concise, readable, unambiguous written intelligence at multiple levels of detail for policy consumption and direction. Develop data summaries and interactive dashboards for SME reviews.Serve as data and analysis liaison between business needs and technology outputs to translate tactical and strategic objectives into workable analysis solutionsServe as integral business agent to the ARDX customers to ensure all tools are appropriately tested for client and ARDX end-usersOther duties as assigned to support the unit, department, entity, and health system organizationRequired Qualifications: Master’s degree from an accredited institution in a field with concentration on data and analytics to include, Health Policy, Data Technology, Engineering (general or subject specific), Data Science, Health Data Analytics, Public Health or related discipline5-7 years of experience developing large-scale, complex data and technology projects. A portion of experience gained in the healthcare policy and operations fields focused on Medicare and Medicaid payment and enrollment data, and health insurance commercial claim data is a plus.Minimum of 2 years in a consulting capacity to external clients and managing to tight timelines across integrated project teams.Specialized, demonstrated experience working with untamed, unformatted data to develop useful analyses to inform strategic direction, required.Experience manipulating and analyzing complex, large volume, high-dimensionality data from varying sourcesUnderstanding of policy and rulemaking processes, including comments collection and responses preferredDemonstrated experience with technical writing and policy writingAbility to independently analyze, decompose, and document complex healthcare provider and services policies to develop recommendations, including requirements comments collection and summarization. Conceptualize and develop solutions, formulate problem statements conducive to application of analytical methods, and develop analysis methods and approaches.Familiarity with a broad set of technologies requiredExceptional written and oral skills to successfully communicate effectively with non-technical and technical business clients and teamsExcellent analytical and problem-solving skillsMust be self-directed and detail-orientedFluency in coding Python and/or R, requiredSpecialized, demonstrated knowledge and fluency using Tableau, SAS, Power Excel, Crystal Reports, and similar comprehensive data analytics tools, required.Demonstrated knowledge and fluency with relational databases and SQL requiredExperience recommending business solutions based on data needs, approaches, and findings based on keen understanding of the business content and data items.A strong passion for empirical research and for answering hard questions with data requiredAbility to apply flexible analytic approaches that allow for results at varying levels of precision, including conducting predictive analyses using complex statistical methods.Ability to communicate complex quantitative analysis in a clear, precise, and actionable mannerExperience documenting and presenting solutions to business challenges/changesExperience applying a business perspective with the dataEOE AA/M/F/Vet/DisabilityJob Type: Full-timeExperience:consulting with external clients: 2 years (Required)Python and/or R coding: 3 years (Required)Tableau, SAS, Power Excel, Crystal Reports: 3 years (Required)large-scale, complex data and technology projects: 5 years (Required)Education:Master's (Required)Work Location:Fully RemoteBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offTuition reimbursementThis Company Describes Its Culture as:Detail-oriented -- quality and precision-focusedInnovative -- innovative and risk-takingAggressive -- competitive and growth-orientedSchedule:Monday to Friday" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Hartford, CT 06152 (Frog Hollow area)",Cigna,"Cigna Global Data & Analytics has an opportunity for a Senior Data Scientist specializing in clinical program evaluation and support. This position will work closely with the Cigna Health Matters Care Management (HMCM) stakeholders to understand their strategy and provide recommendations on making data-driven decisions to meet their objectives. The Senior Data Scientist will be responsible for conducting advanced analytics, research activities, and program evaluations in efforts to improve health outcomes and reduce costs for Cigna customers with case management needs. This position will work both independently and collaboratively within the Customer & Clinical Analytic team, exercising professional judgment and initiative, and accountability for the delivery and reliability of their work. So, you’re interested in becoming the newest member of this team? Great choice! Let’s check some boxes to see if you fit the bill: Perform advanced trend analytics to answer “what happened?” Conduct root cause statistical analyses to answer “why did this happen?” Develop predictive models to answer “what will happen next?” and “who is it likely to happen to?” Mine data to answer “where are the opportunities?” Deploy innovation processes and pilots to answer “how can we get better?” Role Summary: The chosen candidate will have the requisite content knowledge related to evaluating health outcomes, conducting randomized control trials, utilizing statistical modeling techniques (e.g. multivariate regression, propensity score matching, coarsened exact matching), and employing health service research techniques. You will interface across multiple business areas, including, but not limited to clinical, pricing, reporting, product development, operations, and marketing departments as needed. The ideal candidate for this role will be highly motivated, flexible and embrace change. Responsibilities: Extract and analyze large healthcare claims using SAS, SQL, R, Python, Teradata, Hadoop, etc. Identify, analyze and interpret trends or patterns in data sets through descriptive and multivariate statistics Conduct matched case-control studies and/or randomized control trials for determining the effectiveness of health program services and solutions Develop statistical models and methods (including but not limited to regression) that identify and stratify individuals in terms of health risk and/or behavior change Develop actionable insights and recommendations for business leaders Present results and recommendations to non-technical business partners and stakeholders to drive the decision-making process Collaborate with matrix partners to understand project developments, assess impacts to data and analytics Qualifications: Advanced degree in Statistics, Mathematics, Data Science, Biostatistics, or Epidemiology and/or 2-5 years of related data science work experience in healthcare 3 or more years of health insurance related data/analytics experience solving business problems through the application of analytic approaches. Experience with diverse healthcare data preferred, including claims, EHR, demographic, exercise, pharmacy, lab, biometrics, genomic, and text Previous experience conducting program evaluation/outcomes research methods , predictive modeling and data mining is required Experience with statistical software program SAS/SAS EG, R and/or Python is required Statistics experience in : propensity score matching, coarsened exact matching, multivariate regression, etc Comprehension of healthcare data (e.g., ICD-10, claims) and demonstrated understanding of health care and delivery system processes Leadership competencies including the ability to collaborate with others and establish working relationships, communicate effectively across the organization and at different levels, think and act strategically, and influence key leaders with a Strong customer focus and management of stakeholder expectations Ability to successfully navigate and contribute in a highly-matrixed environment Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws. If you require an accommodation based on your physical or mental disability please email: SeeYourself@cigna.com. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response." Data Scientist,"Boston, MA",FM Systems,"FM:Systems provides workplace management technology and solutions that enable facility and real estate teams to identify, plan, and deliver the ideal workplace for every employee. Our leading web-based Integrated Workspace Management System (IWMS) and real-estate analytics software improves management of space, occupancy, renovations, moves, maintenance, property, assets, agile workspaces, employee experience, smart buildings, and more. At FM:Systems, we have 3 guiding values around what we believe and how we behave 1) do the right thing, 2) act with urgency, and 3) cultivate a culture of excellence and accountability. We aim to offer our clients an exceptional experience with every interaction, foster innovation, and invest in our people. We also provide a fantastic, casual work environment including a stocked kitchen, flexible time-off, support for volunteer work, company celebrations, excellent employee benefits, and more. If this sounds like a company you would like to work for, apply today! We have a dynamic team, consisting of data scientists, software developers, QA experts, systems administrators, and sales and support personnel. Our team is located in Boston, US, and Sofia, Bulgaria. We have a large and growing number of customers, all of whom are global companies with significant leased and owned office space portfolios for their operations. Our data scientists and data engineers work with a talented software development team as well as a growing ecosystem of business partners and customers to build leading edge technologies in big data. In this role, you will have the opportunity to: Deliver highly scalable systems for processing large volume of data. Build and maintain models extracting actionable analytics from data. Develop system specifications and translate system requirements to task specifications for other data scientists. Manage time to meet project delivery requirements. The successful candidate for this role will have the following skills and experience: A Bachelor's degree in computer science, applied math, or statistics from a four-year university with some experience in ETL Strong proficiency in Python. Experience with version control platforms like GitHub. Experience with MySQL or similar databases. Excellent spoken and written communication skills in English. Strong teamwork and interpersonal skills. You get bonus points if you have any of the following experience: Master's degree in a highly computational field. Experience with agile development methodologies is a plus. Familiarity with PySpark Experience with AWS (ECS, ECR and Lambda). FM:Systems is an equal opportunity employer. It is our policy to provide equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex or sexual orientation, gender identity or expression, marital status, national origin or ancestry, citizenship, ethnicity, gender, age, disability, present, current or prospective military/uniformed service, genetic information, or other characteristics protected by applicable federal, state or local law. We are committed to a diverse workforce. We value all employees' talents and support an environment that is inclusive and respectful. rt68QjYwAV" Data Scientist,"New York, NY 10036 (Midtown area)",American Civil Liberties Union,"------------- ABOUT THE JOB ------------- The Data & Analytics Department of the ACLU's National office in New York, NY seeks applications for the full-time position of Data Scientist. ACLU Analytics partners with teams across the organization to enable the ACLU to make smart, evidence-based decisions and bring quantitative insights on our issues to the courtroom and the public. Our team's work ranges from social science research for litigation & advocacy, to analysis & reporting for fundraising and engagement, to building and maintaining our data infrastructure. We strive to ensure the ACLU leads by example in the ethical use of data and technology. This includes maintaining our privacy and security standards, pushing for transparent data practices from government and corporate actors, and helping to steward high standards for algorithmic fairness, accountability, and transparency. We are looking to hire a full-time Data Scientist to apply cutting-edge empirical methods from the social sciences to quantitative research questions that inform the ACLU's litigation, advocacy, and voter engagement work. This includes partnering with ACLU attorneys and organizers across a wide range of civil liberties issues to shape research questions, conduct analyses (ranging from descriptive analytics to causal inference modeling), and translate the results of statistical models and hypothesis tests for a non-technical audience. In 2020 and 2021, this role will focus heavily on ensuring a fair and non-partisan redistricting process, working in close partnership with our Voting Rights Project. We also expect this role to have an additional focus on support for our voter and constituent engagement work. This role reports to the Director of Legal Analytics & Quantitative Research. ---------------- RESPONSIBILITIES ---------------- Analyze Census demographic data, legislative district maps, and election results in support of advocacy and litigation related to voting rights and redistricting Develop quantitative research analyses and literature reviews that support ACLU litigation and ballot initiatives Review, critique, and drive the direction of expert reports and testimony for litigation Maintain current knowledge of cutting edge empirical methods in social science, particularly with regards to voting rights and redistricting Model voter and constituent engagement behavior – actions, volunteering, voting, donations, etc. – and work with teams across the ACLU to improve outreach campaigns Lead the execution and analysis of complex tests and program evaluations Evaluate, acquire, and integrate new datasets Demonstrate a commitment to diversity within the office using a personal approach that values all individuals and respects differences in regards to race, ethnicity, age, gender identity and expression, sexual orientation, religion, disability and socio-economic circumstance Commit to work collaboratively and respectfully toward resolving obstacles and/or conflicts ---------------------- MINIMUM QUALIFICATIONS ---------------------- 2-4 years of experience using statistical methods, causal identification, and hypothesis testing in an applied setting Advanced degree in a quantitative social science field (e.g. Economics, Political Science) or equivalent experience Fluency in Python or R, or similar analytics and programming languages Familiarity with a wide range of social science empirical methods, and ability to quickly learn new empirical techniques Ability to clearly translate technical concepts for a non-technical audience The ideal candidate will have a passion for the ACLU, civil liberties and civil rights, and voting rights in particular ----------------------------- PREFERRED QUALIFICATIONS ----------------------------- Experience with Geographic Information Systems (GIS), spatial data, and mapping software Experience with simulation modeling Experience working with the voter file and voter mobilization tools & tactics -------------- ABOUT THE ACLU -------------- For almost 100 years, the ACLU has worked to defend and preserve the individual rights and liberties guaranteed by the Constitution and laws of the United States. Whether it's ending mass incarceration, achieving full equality for the LGBT community, establishing new privacy protections for our digital age, or preserving the right to vote or the right to have an abortion, the ACLU takes up the toughest civil liberties cases and issues to defend all people from government abuse and overreach. The Department of Education has determined that employment in this position at the ACLU does not qualify for the Public Service Loan Forgiveness Program. We value a diverse workforce and an inclusive culture. The ACLU encourages applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, veteran status and record of arrest or conviction. The ACLU is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and need assistance applying online, please e-mail benefits.hrdept@aclu.org ( benefits.hrdept@aclu.org ). If you are selected for an interview, you will receive additional information regarding how to request an accommodation for the interview process." Data Scientist,"Alexandria, VA",Gridiron IT,"3 Days on Site/2 days remote Job Description (describe the day-to-day): Utilize strong technical and analytical skills to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights, which in turn can address a pressing business problem. Using latest technologies to design and implement analysis infrastructure and tools, analytic workflow processes, and complex data visualizations. Leverage understanding of mathematical and statistical concepts, computer science and or domain expertise to bridge the gap between technologists and program staff, ensuring data solutions meet business requirements.Work developing processes and technical implementations to provide data sets to analytic pilots and innovation efforts. Sanitize data to lower the risks of exposure of sensitive data. Establish and support analytics innovation, including supporting COTS and SAAS analytics tools.Qualifications (minimum requirements, per the contract): · Experience with quantitative analysis and using databases· Experience with writing analytics to answer business or mission problems· Experience with Amazon Web Services analytic offerings including concepts, tools and scripting· Experience with scripting (Python, Bash, R), data transformation, SQL, Graph Databases etc.Experience with machine learning tools such as TensorFlow, H2O· 8+ years of relevant IT experience and a Bachelors Degree (12+ years of relevant IT experience required without a Bachelors Degree)Job Type: Full-timeExperience:Data Scientist: 8 years (Preferred)R: 5 years (Preferred)Python: 5 years (Preferred)TensorFlow: 5 years (Preferred)Education:Bachelor's (Preferred)Location:Alexandria, VA (Preferred)Work Location:One location" "Data Scientist, Sr Associate - Location: McLean or Washington DC","McLean, VA 22102",EY,"Join our Americas Data Enablement team and be a part of a high-energy, fast-paced, and innovative group. In an environment where collaboration and openness are valued you will help develop and support the important data analytics capabilities that will deepen our understanding of the drivers of our business performance and inform our business decisions. Our data enablement initiatives span all our businesses and stakeholders. You will have the opportunity to deliver breakthrough analytical solutions and work with those businesses and functional areas, including but not limited to Finance, Information Technology, Human Resources, Brand Marketing and Communications, Knowledge and Risk Management. You will have the opportunity to develop your career through a broad scope of experiences and projects, active mentoring and continuous learning. That’s how we develop outstanding leaders who team to deliver on our promises to all our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities. Sound interesting? Well this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. Job Summary: EY is a leading global professional services firm that is using data-driven solutions and capabilities to transform our own business and the businesses of our clients. Join an organization where you can use your most advanced skills every day and enjoy the satisfaction of developing impactful solutions to the most challenging business issues and opportunities. Work closely with executives responsible for creating and driving data driven solutions within EY and our clients. Key Responsibilities As a data scientist you will work with a team of data scientists to build econometric and machine learning models to identify causation and create predictability in key areas, such as revenue forecasting, employee attrition and experience, and understanding our clients, which will provide key inputs to critical businesses processes. Under the guidance of senior team members, you will participate in the design, development, and implementation of statistical models. You will build reports, produce insightful analytics, communicate findings and share technical subject matter clearly and concisely with senior business leaders. You will develop and maintain programming for data pipeline, perform data exploration, work on model testing, improve model performance, and achieve model optimization. Along with team members, you will periodically review statistical forecasts, evaluate model performance, and address statistical modelling issues.Skills and Attributes for Success We are looking for candidates who are highly motivated, analytical thinkers with a passion for analytics and attention to detail. The ideal candidate will have strong knowledge of statistical methods (particularly time-series forecasting), and experience applying data analysis techniques to manipulate and analyze complex data from various sources. The candidate will be driven to take on challenges, have passionate curiosity, and provide creative solutions on a wide range of business issues/topics, and be able to adapt to ambiguous and changing challenges. The skills and attributes key to this role include: Experience using econometric and machine learning tools for forecasting Familiarity with open source data analysis and modelling tools (R/Python) Ability to build data pipelines that transform multiple datasets with real-world messiness to organized information that is fit for statistical analysis A passion for continuous learning An aptitude to dive deep on technical challenges and work through ambiguity to move from concept to solution Critical thinker – practical application of advanced concepts to enhance business performance The ability to inspire confidence in senior business leaders by simplifying complex concepts and analysis Passion for data, analytics, modeling and cutting-edge algorithmsMinimum Requirements Master’s degree in Economics, Finance, Statistics, Computer Science or related quantitative field Experience manipulating, transforming, and analyzing complex data Experience in time-series econometrics for both big and small data Experience in machine learning modelling and interpretation Strong communication skills including the ability to communicate across multiple levels in the organization At least one year of post-graduate experience Familiarity with one or more programming languages used for data cleaning, analysis, and visualization: R, Python, Stata, SAS, Julia.Ideal Additional Experience PhD in Economics, Finance, Statistics, Computer Science or related quantitative field Two or more years of experience in consulting, business, or government Familiarity with SQL and common relational database tools Familiarity with one or more common visualization tools: Tableau, Power Bi.EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status." Data Scientist,"San Antonio, TX",CyberFortress Insurance Services US,"San Antonio, TX or Austin, TX We’re looking for a data scientist to help us build the world a better model for cyber risk. If you love ML, solving huge problems, and are an experienced data scientist; you’ve come to the right place! Requirements 3+ years working as a data scientist Strong background in machine learning, computer science, statistics, and maths Works in Python Loves its numpy, pandas, matplotlib, scikit-learn, and keras packages A fast learner, a builder Familiar with relational and NoSQL cloud datastores Familiar with the Google Cloud Platform About CyberFortress CyberFortress was formed to be a new kind of company to tackle a big problem. Insurance is one of the most painful and hated experiences in modern life. We want to change that. But we don’t think we can change the insurance industry without first changing ourselves. So we have thrown out a lot of the startup playbook: No founder dictators. No managers. No vesting handcuffs. No work obsession leading to burnout. No living in a future that doesn’t exist. We are a community of owners engaged in a common project and governed through thoughtful and open debate rather than top-down managers. We want every employee-owner to have a rich life of which work is an integral and fulfilling part." Senior Data Analyst,"Baltimore, MD","General Healthcare Resources, Inc.","Sr. Data Analyst / Healthcare / Power BI Interested in working for a well-established, Primary Care Medical Group that offers a wide variety of clinical services? Do you want to work for an organization that has been recognized regionally for providing the highest level of quality patient care for over 20 years?Are you a Data Analyst that brings strong Power BI experience and wants to focus more on machine learning/predictive analytics? Do you have a desire to analyze diverse data sets that help derive meaningful clinical insights and lead to improved metrics for an under served patient population?If you answered yes to these questions, please consider applying today!Schedule: Monday – Friday, flexible hours, ability to work remotely up to 2 days per weekCompensation: $75,000-$100,000/yr, dependent on experienceLucrative bonus structure that is paid out quarterlyExtensive benefits package including generous PTO, affordable healthcare coverage, etc.Sr. Data Analyst Qualifications: Proven ability to utilize Power BI analytics tools, requiredBachelor’s Degree in Information Systems or related field, or equivalent work experience3+ years of experience as a Data Analyst in a Healthcare setting, highly preferredTechnical knowledge of SQL, querying and data warehousingAbility to analyze and derive insights from diverse data sets, preferably clinical/quality/financial dataJob Type: Full-timeSalary: $75,000.00 to $100,000.00 /yearExperience:Power BI: 2 years (Required)SQL: 2 years (Required)Healthcare data analysis: 2 years (Required)Additional Compensation:Other formsWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleTuition reimbursementOtherSchedule:Monday to FridayNo weekends" Statistical Data Analyst,"El Segundo, CA",AEG,"AEG Company: Los Angeles Kings Hockey Club Company Information: AEG Worldwide is the world’s leading sports and live entertainment company with operations in the following business segments: AEG Presents, which is one of the largest live music companies in the world dedicated to live contemporary music performances, including producing and promoting global and regional concert tours, music events and world-renowned festivals AEG Sports, which is the world’s largest operator of sports franchises and high-profile sporting events AEG Global Partnerships, which supports each of AEG’s divisions through worldwide sales and servicing of sponsorships including naming rights, premium seating and other strategic partnerships With offices on five continents, the company uses its global network of venues, portfolio of powerful sports and music brands, ticketing and content distribution platforms and its integrated entertainment districts to deliver the most creative and innovative live sports and entertainment experiences that inspire athletes, teams, artists and fans. JOB DESCRIPTION: The Business Analyst will support both the hockey and business operations departments and will apply advanced statistical techniques to identify patterns in data to drive actionable insights to both groups. This individual will be required to understand how to collect, store, manipulate, query and utilize essential data for the purpose of analysis. The analyst will work closely with the Sr. Analyst, Hockey Operations and Sr. Manager, Data & Analytics to drive insights for both groups. ESSENTIAL FUNCTIONS: Apply statistical techniques to find innovative recommendations to provide to hockey operations & business operations in order to integrate these recommendations into strategic decision making. Identify, analyze and interpret trends and patterns from complex data sets by using an array of technical/analytical tools such as R, Python, SQL Collaborate with and provide instruction to database engineers in order to build data foundation, which is used to create analytic models, ensuring it is properly structured for statistical analysis. Create data visualizations within PowerBI, SAS or other software in order to clearly display KPIs (key performance indicators) such as revenue to goal, team performance, etc. Undertake other duties as requested by the Sr Analyst Hockey Operations and the Sr. Manager, Data & Analytics Business Analyst Run analytical experiments in a methodical manner, and regularly evaluate alternate models via theoretical approaches representing the likelihood of a range of outcomes. Interpret and communicate results and ideas to key decision makers including presenting ranges of outcomes in order to evaluate the feasibility of strategies/future decisions. Independently research and remain up to date with current technology trends; Implement new statistical or other mathematical methodologies as needed for specific models or analysis. SPECIFIC JOB KNOWLEDGE, SKILL AND ABILITY: The Statistical Data Analyst must possess the following knowledge, skills and abilities and be able to explain and demonstrate that he or she can perform the essential functions of the job, with or without reasonable accommodation, using some other combination of skill and abilities: QUALIFICATION STANDARDS: Education: Bachelor of Arts/Sciences Degree (4-year) in Mathematics/Statistics/Business (Advanced degree preferred) Experience: A minimum of 2-4 years of related work experience 2+ years’ experience in analyzing data Strong communication skills, with the ability to create relationships and work independently Ability to code in any statistical software, like R, SAS and/or Python Familiarity with database structure and SQL Ability to interact with all levels of management and staff. Familiarity with cloud computing services like Azure Ability to translate data findings into clear, concise summaries/presentations for both technical and non-technical audiences. Experience with working with hockey analytics, ticketing and/or transactional data Team player who enjoys working in a high achieving and innovative environment, with a commitment to be top of class AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside his/her normal description" Data Scientist - Risk,"Orlando, FL 32801 (Central Business District area)",LSQ,"Job Title: Data Scientist (Risk) Location: Orlando, Florida Manager: Head of Data Science About LSQ LSQ is a technology-driven provider of accounts receivable financing to companies who need working capital but may not be able to obtain sufficient financing from their bank. Our focus is to help businesses release the liquidity tied up in their accounts receivable. With financing from LSQ, a business can purchase more inventory, fill more orders, and take advantage of new growth opportunities. Our technology and data driven approach to providing working capital, along with our accounts receivable management services, allows our clients to driving business success. Job Overview LSQ is searching for a Data Scientist (Risk) to join our growing team of analytics experts. The hire will be responsible for building data driven tools to automate and scale risk decisions – decision points include, fraud detection, commercial credit analysis, and invoice payment behavior. The ideal candidate is an experienced researcher and data wrangler who enjoys applying complex theories to solve real world business problems. The Data Scientist will need to collaborate effectively with both technical (engineers, data experts) and non-technical (business users) colleagues to bring the data to life. Responsibilities of Data Scientist (Risk) We have 20+ years of real-world commercial data – we’ve observed businesses and their interactions with other businesses across market cycles, industries, and catastrophic events. Build risk tools that optimize for velocity and scale. Build risk tools that optimize science & art – you will work with risk experts who have been in the trenches (and learned from losses). Augment human decisions with machine. Lay the foundation for scale. A data science framework for optimal data acquisition, model training and deployment. Don’t take short-cuts. Bring quantitative and statistical rigor to your body of work. Lead by example. You are joining a data team at ground-level. Building and inserting a data team, into a 20+ year old company (organism) will be hard, but rewarding. Qualifications for Risk Data Scientist Curiosity, Grit, and Humility 5+ years of experience of hands-on data science role Previous experience of building commercial finance risk tools should be beneficial, but not required Bachelor or Masters degree in Data Science, Operations Research, Computer Science, Industrial Engineering, Statistics, or another quantitative field A toolkit of modern data science techniques Experience with any data science tools/packages: Python, R, SAS, XGBoost, TensorFlow, NLTK Experience with any big data tools: Hadoop, Spark, Kafka, Data Bricks Experience with any reporting tools: Tableau Server, Power BI, SSRS, Excel Experience with any AWS cloud services: EC2, EMR, RDS, Redshift, Aurora, S3 Experience with any Stream-processing systems: Storm, Spark-Streaming Position Type and Expected Hours of Work: This is a full-time position. Days and hours of work are Monday through Friday, 8:00 a.m. to 5 p.m. Occasional evening and weekend work may be required as job duties demand. Physical Demands: While performing the duties of this job, the employee is regularly required to sit and use hands to finger, handle, or feel. The employee is frequently required to reach with hands and arms and talk or hear. The employee is occasionally required to stand; walk and stoop, kneel, crouch. Travel: There will be minimal travel required for this position. LSQ is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived, race, religion, color, sex (including pregnancy and gender identity), sexual orientation, parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, any other non-merit based factor or any other characteristic protected by applicable federal, state or local laws. Our leadership team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment. If you’d like more information about your EEO rights as an applicant under the law, please click here http://www1.eeoc.gov/employers/poster.cfm" Data Scientist,"Minneapolis, MN",HHRI,"The Hennepin Healthcare Research Institute (HHRI) has a full-time position for an experienced Data Scientist to enhance and leverage the recently developed HHRI Virtual Data Warehouse (VDH) to improve patient care, research, and internal and external collaborations. Previous experience with data analysis in a healthcare setting is preferred. POSITION SUMMARY: The primary roles are to provide guidance to HHRI researchers on data requests, manage request fulfillment, direct VDW enhancements, and foster data-sharing collaborations with other research institutions locally and nationally. This position will be located within the Hennepin Healthcare hospital-based Analytic Center of Excellence (ACE) and the Data Scientist will work in collaboration with the ACE team, which developed and assists with maintenance of the VDW. Optional: may pursue new collaborative projects using the VDW data to analyze health care outcomes relevant to the HHC population in the Data Scientist's areas of research interest or expertise, which may include conducting statistical analyses. These projects would require approval by the VDW Director and Associate Director, and the VDW Steering Committee as needed. EMPLOYMENT STANDARDS: Education/Experience: Typical qualifications would be a Bachelor of Science (B.S.) or Engineering (B.E.) in computer science, information technology or a related field, and a Masters in Health Informatics or Public Health, with 1-3 years of applicable experience. Any equivalent combination of education and experience that provides the required knowledge and skills is qualifying. Preferred Experience: Previous experience with data analysis in a healthcare setting 1 year experience with EPIC Clarity Experience with SAS, R, or Python Experience with SQL required Experience in troubleshooting and resolving database performance and design problems Familiarity with Research Common Data Models such as HCSRN, PCORnet, I2B2 Experience working with compliance or similar offices to draft, execute, and maintain data use agreements Skill, Knowledge & Ability (SKA): Requires interaction with a diverse population. Self-motivated and willing to learn. Strong attention to detail. Prefers to do things well more so than fast. Excellent organizational and time management skills. Excellent written, documentation and verbal communication skills: ability to present complex information in an understandable and compelling manner. Ability to present ideas and information in user-friendly language to investigators with minimal informatics/analytics background. Demonstrated value for a positive collaborative friendly work environment. Outgoing personality; in alliance with the VDW Medical Directors, be comfortable in reaching out to VDW Data Scientists at other research institutions to develop new data- sharing collaborations. Ability to facilitate data- sharing solutions across multiple CDMs with other research institutions. Project management experience. Proficiency in Microsoft Word, Excel, Access, and PowerPoint. ESSENTIAL FUNCTIONS: Optimize data capture and data storage needs for research projects Coordinate intake of new VDW requests Work closely with HHRI investigators to clarify clinical research questions and data elements needed to guide the data pull for their research project Data request fulfillment using SAS, R, or similar statistical package Project scoping and invoicing Direct VDW enhancements after approval by VDW Directors, in coordination with the ACE team Manage tracking system of data pulls, data use agreements, and data storage by investigators. Conduct quality assurance in VDW to ensure fidelity of transfers from Clarity to VDW Foster relationships and data-sharing collaborations with other research institutions and potentially local and federal government organizations for claims data; liaise with their data scientists. Facilitate data sharing via transformation of the HCSRN CDM to other CDMs, e.g. PCORnet Optional: may pursue new collaborative projects using the VDW data to analyze health care outcomes relevant to the HHC population in the Data Scientist's areas of research interest or expertise, which may include conducting the statistical analyses. These projects would require approval by the VDW Director and Associate Director, and the VDW Steering Committee as needed. AA/EOE of Minorities, Women, Veterans, Disabilities" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Data Scientist, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of environments (including various databases, Linux servers, and Hadoop). You’ll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment.Expected Qualifications: Bachelor’s degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree strongly preferred 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analytics Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc. Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc. Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) Excellent communication skills Passion for extracting hidden insights and building machine learning systems that enhance business outcomes About GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Data Scientist - Risk,"Orlando, FL 32801 (Central Business District area)",LSQ,"Job Title: Data Scientist (Risk) Location: Orlando, Florida Manager: Head of Data Science About LSQ LSQ is a technology-driven provider of accounts receivable financing to companies who need working capital but may not be able to obtain sufficient financing from their bank. Our focus is to help businesses release the liquidity tied up in their accounts receivable. With financing from LSQ, a business can purchase more inventory, fill more orders, and take advantage of new growth opportunities. Our technology and data driven approach to providing working capital, along with our accounts receivable management services, allows our clients to driving business success. Job Overview LSQ is searching for a Data Scientist (Risk) to join our growing team of analytics experts. The hire will be responsible for building data driven tools to automate and scale risk decisions – decision points include, fraud detection, commercial credit analysis, and invoice payment behavior. The ideal candidate is an experienced researcher and data wrangler who enjoys applying complex theories to solve real world business problems. The Data Scientist will need to collaborate effectively with both technical (engineers, data experts) and non-technical (business users) colleagues to bring the data to life. Responsibilities of Data Scientist (Risk) We have 20+ years of real-world commercial data – we’ve observed businesses and their interactions with other businesses across market cycles, industries, and catastrophic events. Build risk tools that optimize for velocity and scale. Build risk tools that optimize science & art – you will work with risk experts who have been in the trenches (and learned from losses). Augment human decisions with machine. Lay the foundation for scale. A data science framework for optimal data acquisition, model training and deployment. Don’t take short-cuts. Bring quantitative and statistical rigor to your body of work. Lead by example. You are joining a data team at ground-level. Building and inserting a data team, into a 20+ year old company (organism) will be hard, but rewarding. Qualifications for Risk Data Scientist Curiosity, Grit, and Humility 5+ years of experience of hands-on data science role Previous experience of building commercial finance risk tools should be beneficial, but not required Bachelor or Masters degree in Data Science, Operations Research, Computer Science, Industrial Engineering, Statistics, or another quantitative field A toolkit of modern data science techniques Experience with any data science tools/packages: Python, R, SAS, XGBoost, TensorFlow, NLTK Experience with any big data tools: Hadoop, Spark, Kafka, Data Bricks Experience with any reporting tools: Tableau Server, Power BI, SSRS, Excel Experience with any AWS cloud services: EC2, EMR, RDS, Redshift, Aurora, S3 Experience with any Stream-processing systems: Storm, Spark-Streaming Position Type and Expected Hours of Work: This is a full-time position. Days and hours of work are Monday through Friday, 8:00 a.m. to 5 p.m. Occasional evening and weekend work may be required as job duties demand. Physical Demands: While performing the duties of this job, the employee is regularly required to sit and use hands to finger, handle, or feel. The employee is frequently required to reach with hands and arms and talk or hear. The employee is occasionally required to stand; walk and stoop, kneel, crouch. Travel: There will be minimal travel required for this position. LSQ is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived, race, religion, color, sex (including pregnancy and gender identity), sexual orientation, parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, any other non-merit based factor or any other characteristic protected by applicable federal, state or local laws. Our leadership team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment. If you’d like more information about your EEO rights as an applicant under the law, please click here http://www1.eeoc.gov/employers/poster.cfm" Data Scientist,"Minneapolis, MN",HHRI,"The Hennepin Healthcare Research Institute (HHRI) has a full-time position for an experienced Data Scientist to enhance and leverage the recently developed HHRI Virtual Data Warehouse (VDH) to improve patient care, research, and internal and external collaborations. Previous experience with data analysis in a healthcare setting is preferred. POSITION SUMMARY: The primary roles are to provide guidance to HHRI researchers on data requests, manage request fulfillment, direct VDW enhancements, and foster data-sharing collaborations with other research institutions locally and nationally. This position will be located within the Hennepin Healthcare hospital-based Analytic Center of Excellence (ACE) and the Data Scientist will work in collaboration with the ACE team, which developed and assists with maintenance of the VDW. Optional: may pursue new collaborative projects using the VDW data to analyze health care outcomes relevant to the HHC population in the Data Scientist's areas of research interest or expertise, which may include conducting statistical analyses. These projects would require approval by the VDW Director and Associate Director, and the VDW Steering Committee as needed. EMPLOYMENT STANDARDS: Education/Experience: Typical qualifications would be a Bachelor of Science (B.S.) or Engineering (B.E.) in computer science, information technology or a related field, and a Masters in Health Informatics or Public Health, with 1-3 years of applicable experience. Any equivalent combination of education and experience that provides the required knowledge and skills is qualifying. Preferred Experience: Previous experience with data analysis in a healthcare setting 1 year experience with EPIC Clarity Experience with SAS, R, or Python Experience with SQL required Experience in troubleshooting and resolving database performance and design problems Familiarity with Research Common Data Models such as HCSRN, PCORnet, I2B2 Experience working with compliance or similar offices to draft, execute, and maintain data use agreements Skill, Knowledge & Ability (SKA): Requires interaction with a diverse population. Self-motivated and willing to learn. Strong attention to detail. Prefers to do things well more so than fast. Excellent organizational and time management skills. Excellent written, documentation and verbal communication skills: ability to present complex information in an understandable and compelling manner. Ability to present ideas and information in user-friendly language to investigators with minimal informatics/analytics background. Demonstrated value for a positive collaborative friendly work environment. Outgoing personality; in alliance with the VDW Medical Directors, be comfortable in reaching out to VDW Data Scientists at other research institutions to develop new data- sharing collaborations. Ability to facilitate data- sharing solutions across multiple CDMs with other research institutions. Project management experience. Proficiency in Microsoft Word, Excel, Access, and PowerPoint. ESSENTIAL FUNCTIONS: Optimize data capture and data storage needs for research projects Coordinate intake of new VDW requests Work closely with HHRI investigators to clarify clinical research questions and data elements needed to guide the data pull for their research project Data request fulfillment using SAS, R, or similar statistical package Project scoping and invoicing Direct VDW enhancements after approval by VDW Directors, in coordination with the ACE team Manage tracking system of data pulls, data use agreements, and data storage by investigators. Conduct quality assurance in VDW to ensure fidelity of transfers from Clarity to VDW Foster relationships and data-sharing collaborations with other research institutions and potentially local and federal government organizations for claims data; liaise with their data scientists. Facilitate data sharing via transformation of the HCSRN CDM to other CDMs, e.g. PCORnet Optional: may pursue new collaborative projects using the VDW data to analyze health care outcomes relevant to the HHC population in the Data Scientist's areas of research interest or expertise, which may include conducting the statistical analyses. These projects would require approval by the VDW Director and Associate Director, and the VDW Steering Committee as needed. AA/EOE of Minorities, Women, Veterans, Disabilities" Data Scientist,"Raleigh, NC 27601",Cognizant Technology Solutions,"Qualification: Science / Engineering Graduate Skills : 7+ years’ experience in data analytics, data science, quantitative analysis using statistical computer languages (R, Python, SLQ, etc.) to draw insights from large data sets 4+ years of Python/PySpark development in complex big data environments (data warehouse, data lake, Hadoop) Experience with variety of machine learning and advanced statistical techniques Capital markets and/or money center bank experience Bachelor’s degree in computer science, engineering, mathematics or other quantitative discipline Employee Status : Full Time Employee Shift : Day Job Travel : No Job Posting : Feb 12 2020 About Cognizant Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 193 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @USJobsCognizant. Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network assists Veterans in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender, identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. If you have a disability that requires a reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information." Data Scientist,"Philadelphia, PA",Invent Analytics,"Overview Invent Analytics is expanding its data science team based in the US. If the prospect of developing new technologies excites you and if you are passionate about working with data to solve complex real-life problems, join us on the front lines of the data analytics revolution. Invent Analytics We provide software-as-a service solutions and consulting services to major companies in the U.S. and Turkey. Our cutting-edge data analytics tools are used by companies from a wide range of industries, including retail, FMCG, airline and automotive. We help our customers adopt a data-centered approach to their mission-critical operations and key business problems. Our solutions encapsulate intelligent business logic, utilizing optimization techniques, forecasting and decision-making algorithms. For more information about our products, visit www.inventanalytics.com Job Description As part of our algorithm team you will be modeling business challenges and working with various types and quantities of data to find actionable insight and create business value for Invent customers. The work entails developing advanced forecasting and statistical models and optimization solutions. You will code new machine learning paradigms, sometimes from first principles, for integration into production systems. At Invent Analytics, you get to work on fascinating problems and collaborate with an inspiring group of analytics talent and subject matter experts to create large scale deployments using newly researched methodologies. Responsibilities include performing assigned tasks as part of the project team, serving as a client interface and participate in requirements gathering and analysis, data analysis, presentation of analysis to the clients and helping the design and development of algorithm driven products and solutions. Requirements BSc / MSc in deep learning, machine learning or equivalent work experience Excellent analytical thinking / problem solving skills and attention to detail Ability to deal with ambiguity in defining activities and direction with good planning skills Strong background in Mathematical Modeling, Operations Research, Statistical approaches Experience with statistical packages such as R, Python, and SAS is a big plus Experience with optimization packages is a big plus Good communication/presentation skills, both oral and written Demonstrated ability to quickly learn new tools and paradigms to deploy cutting edge solutions Appreciation of team spirit Submit resume/CV: careers@inventanalytics.com" Data Scientist,"San Francisco, CA 94103 (South of Market area)",Clever,"Thanks to our 15+ million users -- and our network of schools and learning applications -- Clever is a hub of rich, complex data. We use this data every day to help inform product and business decisions, but we know we could be doing so much more. We're looking to you as our first data science hire to join the data team and set the strategy for taking our analytics to the next level. You'll discover actionable insights that directly benefit our customers. This is a hands-on role that will work cross-functionally with stakeholders across the organization to have exceptional impact on our business. --------- You will: --------- Create a compelling vision and strategy for how we will use data as we continue to grow Teach and mentor others around best practices, and help to foster our data-informed culture at Clever Proactively conduct quantitative research and analysis of Clever's data that results in actionable insights and recommendations Partner with product managers, engineers, and marketers to translate business insights into decisions and action ---------------- You should have: ---------------- Minimum 5+ years experience in data science and business analytics with a deep understanding of how data can be used to propel a business forward Expert in SQL and proficient in programming (R, Python, etc) Experience using data visualization tools (Tableau, Looker, Chartio, etc) Ability to communicate clearly and effectively to cross functional partners of varying technical levels Knowledge of statistics and experimental design A desire to work in a diverse, highly collaborative team environment" IT Data Analyst / Scientist - Intern,"Southfield, MI",Mission Veterinary Partners,"Position: IT Data Analyst/Scientist - Intern Company: Mission Veterinary Partners Location: Southfield, MI Reports to: Business Intelligence Manager Seeking 1 FT intern About Us: We are a veterinarian-founded network of 60+ animal hospitals throughout the Midwest. While it’s important to know what we are, it’s probably more important to know what drives us – our mission: to be the employer of choice in veterinary medicine. We take the very best care of our veterinary teams so they can take care of their clients and patients. What You’ll Do: Reporting to the Business Intelligence Manager, the Power BI developer – Intern will be responsible for designing, developing and maintaining dashboards/reports that are requested and that will be used throughout MVP. Essential Functions: (included but not limited to) Work with users to design and develop dashboards/reports. Troubleshoot and provide support for new and existing dashboards/reports. Involvement in project work including recommendation, design, testing, and implementation of various dashboard/reporting solutions. Create, update and contribute to technical and self-help documents that are maintained in the IT Knowledgebase. Qualifications: Knowledge of Business Intelligence including Power BI, excel, dashboards and reports Knowledge of SQL Server Databases and SQL queries Strong troubleshooting skills Self-starter, creative and a problem solver Ability and willingness to work 30-40 hours per week What You’ll Get: Opportunities to participate in personal and professional development programs. Signature projects with intention to best match your areas of interest. Great work environment with assigned mentor and supervisor. Hourly wage of $10/hour worked Free MVP Logo’d gear to wear and represent!" Data Scientist I,"Lansing, MI 48901",Emergent Holdings,"SUMMARY The main focus for this role is developing/monitoring models used in multivariate analysis, linear modeling and data mining. This would include developing and testing predictive risk models; interact, understand and articulate the complex mathematical and computational learning concepts (to appropriate staff).In addition, this position will be expected to understand the business goals (growth) and capital strength and make strategic recommendations to enhance business processes and reflect our strategic goals. RESPONSIBILITIES/TASKS:Responsibilities will be multi-disciplinary and will include: Provides technical and quantitative analysis for predictive modeling group. Assists in statistical data mining and actuarial research by applying advanced statistical concepts. Uses computer technology, computer modeling, spreadsheet applications, software tools, and programming languages. Participates in and is responsible for projects requiring advanced statistical analyses, innovative research, mathematical calculations, and technical skills. Conducts research utilizing predictive modeling. Interprets data and identifies correlations using both univariate and multivariate analysis. Participates in and is responsible for advanced projects. Presents findings and recommendations to appropriate groups. Prepares and delivers summary reports to the relevant or affected areas within the company. Helps to determine what actionable steps can be taken based on the findings. Communicates and trains users on model results. Develops custom, explainable models that enhance business processes to reflect corporate goals, experience, and current market conditions using pattern recognition, evolutionary computation, and machine learning algorithms. Document model requirements. Examine and analyze data to determine optimal modeling approach. Identify candidate risk factors. Build models using training, test, and cross-validation data sets. Share model results. Finalize model. Delivers conclusions. Deploy and maintain models with or without the assistance of the IT department This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. EMPLOYMENT QUALIFICATIONS:EDUCATION: Bachelor's degree in insurance, math, economics, statistics, or computer science required. Advanced degree in statistics, actuarial science, or applied mathematics preferred. Continuous learning, as defined by the Company's learning philosophy, is required. Certification or progress toward certification is highly preferred and encouraged. EXPERIENCE:DATA SCIENTIST I: With proper education credentials, no experience is required; however, workers compensation, predictive modeling and actuarial experience are preferred. SKILLS/KNOWLEDGE/ABILITIES (SKA) REQUIRED: Excellent interpersonal, organizational and communication skills. Ability and proficiency in the use of computers and company standard software specific to position. General familiarity with the following software: SAS, R, SQL. Strong database management skills. Ability to provide direction to other department analysts. Ability to use independent judgment and initiative and to anticipate needs of executive and department, accomplishing tasks without direction. Ability to work effectively as a member of a team. Resourceful problem solving skills and desire to succeed. Knowledge of insurance and underwriting techniques, agency and policyholder needs. Ability to establish workflows, manages multiple projects, meet necessary deadlines, and work without supervision. Exercise sufficient discretion and independent judgment with a wide degree of creativity and latitude. Ability to apply the principles of independent logical thinking to define problems, collect data, establish facts, draw valid conclusions and make actionable strategic recommendations. Ability to manage responsibilities as unexpected pressures/dilemmas arise. Ability to comprehend consequences of various situations and make appropriate individuals aware of same for decision making. Ability to maintain confidentiality." Senior Data Scientist,Remote,Very,"We value well-tested, reusable code and expect our engineers and data scientists to be as good of practitioners as they are leaders and teachers. About This Role Very is a remote-first company, meaning we don’t have a physical office, and you can work from anywhere in the continental United States. Your home, a co-working space, on the road, you name it. If you feel like moving, you don’t have to change jobs.As a Senior Data Scientist at Very, you will work with our Software, Hardware, and Product Design teams to build full-service solutions for our clients. We focus on building end-to-end hardware and software solutions that meet our clients’ business needs, and reliable machine learning systems are often a part of our offering. An ideal candidate will display technical expertise in machine learning and data science, as well as strong communication skills, and the ability to present ideas and results to audiences ranging in technical depth. Candidates should also have experience translating business problems into analytical solutions, working in interdisciplinary teams, and building ML models for production systems. What You’ll Be Working On Very is first and foremost a software consultancy. We tackle hard problems for clients who need a targeted, senior team to come in and provide specific solutions. There is a never-ending supply of variety to the types of projects we work on. However, it is critical to note that almost all of these projects are production systems. As such, the only consistent research component of this position will revolve around establishing a pattern of delivery that allows the team to implement full-scale applications leveraging machine learning in a fast, predictable manner. You’ll spend 80% of your time working on a product or platform for one of our clients, and the other 20% of your time will be spent improving Very’s Data Science Practice. This will involve:Working with other data scientists to define (and continuously refine) our delivery process for data science applications. Working with our marketing team to generate high-quality content (blog posts, conference presentations)Working with our sales team to close deals and build meaningful proposals for potential clients. Our Current Tooling Our data science contracts typically involve a greenfield API or greenfield product from the ground up. In the context of the data science and machine learning pipelines, we typically leverage:Jupyter notebooks for prototypingThe standard SciPy Stack (Numpy, SciPy, Pandas, Scikit-Learn, Matplotlib)Keras/TensorflowPytorchAWS Lambda via the Serverless FrameworkAWS SagemakerAWS Batch On our full-service builds, we often reach for the following tools:React & React NativeSwift & Objective CElixir, Phoenix, and NervesRuby on RailsServerless You don't need to be an expert in these tools, but familiarity is a plus. Our build teams operate with a very high degree of collaboration, so you will definitely have run-ins with these stacks throughout your time here. How You’ll Be Compensated We believe in a transparent, fair compensation structure and have developed our own open salary formula. Depending on your skill and experience, you can expect your base compensation to be somewhere between $105,000 and $130,000 upon joining the company. We also offer performance bonuses, a generous maternity/paternity leave policy, 401K matching, and numerous other employee benefits including reimbursement for home office equipment and gym memberships. This is a full-time, remote employment opportunity for a single individual. We’re not looking for contractors, part-time individuals, or agencies of any kind. Applicants must be located in the continental United States. Thanks!" Data Scientist,"Santa Clara, CA",Bayestree,"Are you passionate about unravelling the underlying process powering big data? Do you enjoy managing the scale of big data against the accuracy of the machine learning algorithms? Do you enjoy translating the chirping of data into the language of mathematical modelling and optimization? How do you know if your model is experiencing gradual drift and requires a refresh? Can you build ML models that can learn incrementally yet maintaining unprecedented accuracy? How do we resolve performance hot spots in big data environment? Finally, are you ready to work in a fast-paced environment balancing priority between short and long-term commitments? Well, if you have read up to this, Bayestree is the right institution for you! Bayestree is looking for an exceptional data scientist with 10+ years’ experience and passion for the following or related areas: a PhD or equivalent experience in the area of Machine Learning Exceptionally proficient in Big Data Platform such as Spark, H2O. Highly proficient in using any of the big data languages. Highly proficient in any of the ML modelling languages such as R, Python. Excellent knowledge in the theory of Machine Learning such as Supervised/Unsupervised Learning, Regularization, Deep Learning, CNN, RNN, LSTM, Conversational Q&A techniques including metrics for algorithmic performance evaluation. Text Mining, Topic Modelling." Data Scientist,"New York, NY",Public Goods,"Public Goods' mission is to make premium-quality, healthy products affordable to everyone. We are growing very fast, and are looking for a data scientist to extract, aggregate, visualize and analyze company data to help inform strategy. You Will Extract actionable insights, trends and patterns from our KPIs. Create new data pipelines and models based on strategic needs. Improve and optimize existing data structures. Analyze B2C data to identify opportunities for improvement. Translate large data sets into presentable dashboards for the rest of the team. You Are At home in the field of e-commerce and consumer packaged goods. Proficient with a variety of data visualizers such as Tableau and Looker. Experienced with SQL, Redshift, S3, and Lambda. An excellent and patient communicator. Comfortable working with a small team. A believer in data-driven business strategy. We Offer Competitive salary with options package. Full dental and medical. Quickly growing environment with kind, passionate people. Public Goods provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Data Scientist, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of environments (including various databases, Linux servers, and Hadoop). You’ll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment.Expected Qualifications: Bachelor’s degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree strongly preferred 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analytics Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc. Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc. Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) Excellent communication skills Passion for extracting hidden insights and building machine learning systems that enhance business outcomes About GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. "ISE, Proactive - NLP Data Scientist","Santa Clara Valley, CA 95014",Apple,"Summary Posted: Mar 6, 2020 Weekly Hours: 40 Role Number:200125067 Apple's Language Intelligence team is bridging software, machine learning, and linguistics to power the world’s best software keyboards and text input systems. Our team is responsible for a wide range of text input technologies, including auto-correction, spellchecking, predictive typing, Chinese & Japanese input and other solutions that are at the intersection of machine learning and NLP. Our diverse, multi-faceted team delivers intelligent and highly performant technologies using natural language text data and statistical modeling. We are looking for a passionate and inquisitive data scientist to help us build, evaluate and ship machine learning models for natural language text and improve the text input user experience on all Apple platforms. Key Qualifications Python Apache Spark Familiarity with dashboards, notebooks & other tools for data presentation and analysis Fluency in statistical analysis End-to-end model building and deployment experience Strong communication and critical thinking skills Ability to work well as part of a team Description As a member of the team, you will work with a multi-faceted team of machine learning, NLP and software engineering experts to design and build systems for training and evaluating machine learning models. You'll investigate new approaches to interpreting and understanding deep learning models. You'll run experiments to understand how our models impact the user experience and key performance indicators, and bring these insights to the broader team to help shape the direction of the technology and our features. You will be a key member of our team that delivers the natural language intelligence behind keyboard input on the world’s most advanced mobile operating system. You will gain exposure to state-of-the-art technologies in machine learning and NLP, and your work will have a direct impact on millions of Apple’s customers. Desired Experience: - Familiar with A/B testing design & methodology - Experience with designing annotation workflows - Fluent in two or more spoken languages - Familiarity with Unix or Linux Education & Experience Bachelor's Degree or higher in Computer Science or related discipline, or equivalent related experience." Genomics Data Scientist,"Menlo Park, CA 94025",AccuraGen,"AccuraGen is a Silicon Valley based early-stage biotech startup focusing on non-invasive diagnostics to facilitate the early detection of cancer. We are developing systems that will provide the most sensitive, accurate, and robust NGS-based ctDNA mutation detection. It will deliver unparalleled accuracy from a minimal amount of patient blood samples. We are looking for a highly motivated scientist to join our machine learning team. The Scientist must be passionate about innovating new applications of next generation sequencing and driving novel discoveries to enable next generation of diagnostic testing. The ideal candidate would be experienced with large data analysis, use statistical and machine-learning methods to uncover hidden patterns in the data, and creatively solve problems. In this role, you will be responsible for the technical development of improved and novel methods, analyses, and algorithms for AccuraGen’s products and studies. You will work closely with other data scientists, bioinformaticians, software engineers, technical executives, and clinical collaborators to develop novel techniques for analyzing genomic data.TASKS AND RESPONSIBILITIES Work on complex problems and big data in which analysis of data requires an in-depth evaluation of various factors and applying statistical modeling or machine learning methods. QC and analyze datasets generated by various high throughput biotechnologies, uncover hidden patterns in the data, discover cancer markers/features. Participate in the product development activities such as: prototyping, testing, and implementing algorithm/analysis modules; improving/optimizing existing analysis modules. Collaborate with R&D experimental scientists to develop novel cutting-edge genomics products. Help the assay team to improve the assay and optimize existing product. Ph.D. in Bioinformatics (or a highly related discipline Statistics, Computer Science, Computational Biology, Data Science), preferably with relevant post-graduate or experience in a biotech/pharmaceutical industry setting. Deep understanding of NGS assays and bioinformatics pipeline, especially those of targeted sequencing Analyze big and disparate datasets using machine learning or statistical modeling methods Demonstrated expert level experience in at least one programming/language (Python, R, Java, etc.), good at data visualization, proficiency in Linux environment. Familiarity with genomic data analysis tools such as GATK, Bioconductor R, samtools, BWA and etc. Experience working with databases and query languages (RMDB Oracle, MySQL, Postgres, Redshift and etc.) Solid biological and disease pathology domain knowledge, cancer biology expertise is a plus. Great communication and presentation skills, ability to present clearly and effectively to stakeholders across organizations Experience working in with multi-disciplinary teams is preferred. Ability to work well in a fast-paced startup environment, delivering high quality results under tight timelines Ability to synthesize high-level concepts, drive projects forward, while maintaining attention to detail Legally authorized to work in the US" Data Scientist,"Rockville, MD 20850","Bright MLS, Inc","SUMMARY: The Bright Data Scientist is responsible for setting direction and driving strategic and innovative data and market analytics for Bright MLS. As the first and principal Data Scientist within the organization, the incumbent will have the unique opportunity to influence decision making working closely with product, technology and Bright's senior leadership to: ESSENTIAL JOB FUNCTIONS: Guide in the creation of a real estate information Data Lake, ingesting large quantities of structured and unstructured data from marketplace activities (listings; showing appointments; emails; property views; narrative; consumer, agent and customer support feedback; images, etc.) Conduct market and business operation research (advanced analysis, story-telling, visualization, predictive modeling) to identify trends in the data that create opportunities to drive transformative change, actionable insights and business value Assess the effectiveness and accuracy of new data sources and data gathering techniques Collaborate with product management and engineering departments to research subscriber and company needs and devise possible solutions that empower subscribers, improve customer service levels or advance operational efficiency Immerse themselves in understanding the industry; and evangelize and educate on how AI, ML and deeper use of data can strengthen our subscriber's position in the marketplace, while also strengthening the leadership position of Bright in the industry Effectively hypothesize, test and communicate ideas and results (positive or negative) to key stakeholders at all levels of the organization Leverage product data to make product development recommendations that are included in the product life-cycle roadmap Work in a SAFe Agile and cross functional team environment, understand organizational and team goals and generate appropriate, collaborative analytical insights to drive process improvementREQUIRED QUALIFICATIONS: 4-6 years of experience in Data Science Strong analytics skills Strong NLOP / NLU experience needed Experience in applying statistical learning methods to solve business problems with a balance between strategic thinking and actual hands-on analyses General Concepts: Machine Learning, Deep Learning, Data Lake, Data Warehouse, Data Visualization, Data Ontology, Business Intelligence, Data Mining, Digital Analytics Tools and Databases: AWS Data Lake and supporting tools, MYSQL, Oracle, SQL Server, Talend, Teradata, Hadoop, MongoDB, S3 as an object store Ability to explore, test, verify and report on data programmatically (with or without defined API's) using one of the following or similar languages: Python, R Experience with any of the following a plus: AWS Glue, Athena, Elastisearch and Glacier Experience with SiSense or other data visualization tools (Tableau, MS Power BI) a plus Knowledge of security best practices and government compliance Self-motivated, self-starter with the keen ability to work independently as well as with others Strong presentation skills with the ability to present complex analyses and insights in simple terms to any size group Experience in a leading technology company Strong quantitative background with Bachelor's degree in Computer Science, Math, Economics, Physics, Engineering or related field Excellent written and communication skills and can-do attitude is a must Highly professional and collaborative conduct across teams with clients a must" Data Scientist - Next Gen AI,"Menlo Park, CA",Symphony AyasdiAI,"Data Scientist Ayasdi is pioneering a newer way to understand large and complex data using Topological Data Analysis (TDA) to automatically discover insights. We use TDA to unify cutting-edge machine learning approaches into a common framework without the need to write algorithms, queries or models. We're building a platform to solve some of the world's most complex data problems and are seeking you to join our Customer Success Team as a Data Scientist. Working closely with exceptionally smart people you will balance your creative mindset with your technical knowledge to solve complex problems in new and innovative ways for some of the largest and most complex financial services challenges today and tomorrow. You will use our techniques in combination with advanced statistical and machine learning methods to solve customer problems as well as assist with prototyping new products and solutions. Job Summary: As a Data Scientist at Ayasdi, you will be ideating and creating solutions for some of the most complex problems utilizing our next generation AI analytical platform. By combining traditional ML with Ayasdi's framework you will build new groundbreaking solutions that fundamentally alter the way data is analyzed. Your technical and inquisitive aptitude will lead you to interesting datasets, but your creativity and initiative will help you find clarity with obscure information. You will collaborate with cross-functional teams to perform exploration and experimentation to build prototypes and best practices for our applications. This position will bring insight and change how our customer's approach complex problems with analytics. Responsibilities:Directly interact with customers across industries to understand and help solve their business problems. Become a master advocate and leader of Ayasdi's products Serve as a technical and subject matter expert for sales meeting and events Interact and collaborate with engineers and product managers to identify and discover insights from customers to continually develop our product. Qualifications:MS or PhD in quantitative field 3+ years utilizing Machine Learning in a financial institution or related organization Solid understanding of statistics and machine learning algorithms Ability to translate analytic ideas into code using production-quality Python code Expertise with data science toolkits like scikit-learn Experience working with TDA a plus Extremely good problem-solving skills Ability to travel infrequently" Senior Data Scientist,"Los Angeles, CA 90067 (Century City area)",Factual,"At Factual we love all things data! Our mission is to organize and optimize the world's location information. As a Data Scientist, you will have the opportunity to shape and influence the direction of our products and propel the growth of our business. You will collaborate with a diverse team of software engineers and data analysts to optimize our current machine learning models and pipelines while also developing creative, data-based solutions. You will be working on many different projects, ranging from scoring the popularity of a place at a given time to pairing anonymized geolocation data with real-world place visits. ---------- About you: ---------- You are passionate about using your programming, data wrangling, and analytical expertise to drive product and business decisions. You are a skilled communicator that will provide thought leadership on metrics, features, and products to teams across the company. You have strong engineering experience and enjoy working in a rapidly changing environment. And most of all: you ship. --------------------- What you'll do: --------------------- Build models to solve a wide range of location data problems Design experiments and work with fellow engineers to ensure thoroughness and correctness on a variety of analyses Use and commit to our data processing software and frameworks Author specification and lead technical projects Propose creative strategies based on data-driven insights ----------------------------- What we're looking for: ----------------------------- 4+ years of industry experience maintaining production machine learning pipelines and using data science to solve business problems Deep understanding of machine learning concepts and algorithms - particularly classification, clustering, and supervised learning. Expertise with Python/Scala/Java Familiarity with distributed programming with Spark or MapReduce Applied knowledge of Statistics (we really value people who can handle uncertainty and variance) Willingness and ability to wrangle messy data An advanced degree in a quantitative field (Math, Statistics, Computer Science) Excellent oral and written communication skills Cover letters will be greatly appreciated! Thanks!" "Data Scientist, Google Customer Solutions","Redwood City, CA 94063 (Harbor area)",Google,"Minimum qualifications: Master’s degree in a Quantitative field or equivalent practical experience. 3 years of experience applying statistical models and Machine Learning techniques for Sales and Marketing in B2B or B2C settings. Experience mining data with query languages, conducting statistical analysis, and coding using open source packages. Experience with statistical software and database languages. Preferred qualifications: PhD in a quantitative discipline. 4 years of experience as a statistician, computational biologist, bioinformatician, data scientist or similar occupation. Experience developing end-to-end data-driven solutions. Experience launching and managing analytical projects, and collaborating with teams across geographies and functions. Experience articulating business questions and using mathematical techniques to arrive at an answer using available data, and translating results into business recommendations. Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods. About the job As a Quantitative Analyst, you will be responsible for analyzing large data sets and building expert systems that improve our understanding of the Web and improve the performance of our products. This effort includes performing complex statistical analysis on non-routine problems and working with engineers to embed models into production systems. You will manage fast changing business priorities and interface with product managers and engineers. Google Customer Solutions (GCS) works with businesses and ad agencies of all sizes and industries. Within GCS, the Revenue, Strategy and Operations (RSO) organization provides business critical insights using analytics, ensures cross-functional alignment of goals and execution, and helps teams drive strategic partnerships and new initiatives forward. They focus on aligning the highest-level company priorities with effective day-to-day operations, and help evolve early stage ideas into future-growth initiatives. The Data Science team within RSO helps power a significant portion of Google's business by guiding Sales and Marketing activities. The Data Science team develops, delivers and measures impact of machine learning models and predictive analytics solutions at scale. Recent projects include customer acquisition, routing and sustainability predictions. Our team works in close partnership with several internal teams. As a Data Scientist, you will partner with various teams to develop customer-level recommendations and automated solutions, consolidating existing Google technologies and building new ones. You'll also work with others on the team to harness the power of Google’s data with machine learning, to deliver insights at scale that drive both long-term strategy and near-term operations for Marketing and Sales. When our millions of advertisers and publishers are happy, so are we! Our Google Customer Solutions (GCS) team of entrepreneurial, enthusiastic and client-focused members are the ""human face"" of Google, helping entrepreneurs both individually and broadly build their online presence and grow their businesses. We are dedicated to growing the unique needs of advertising companies. Our teams of strategists, analysts, advisers and support specialists collaborate closely to spot and analyze customer needs and trends. In collaboration, we create and implement business plans broadly for all types of businesses. ResponsibilitiesCollect, cleanse, integrate, data-mine and visualize a variety of internal and external data sources to identify opportunities and influence strategy. Understand business challenges, transform problems into mathematical frameworks, and communicate complex findings in a structured and clear manner to a non-technical audience. Navigate ambiguity, solve complex challenges, and operate in a fast-paced team environment. Design, develop, and deliver Predictive and Machine Learning models to drive customer acquisition and pipeline performance. Collaborate globally with Engineering and Product Management teams for the development and scaling of new data signals and analytical solutions to drive efficiency and effectiveness of sales and marketing. At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form." Data Scientist,"Knoxville, TN 37917 (Parkridge area)",ABS,"ABS Group is a global company that provides data-driven risk and reliability solutions and technical services that help our clients enhance the safety, integrity, quality and environmental efficiency of their critical assets and operations. In January of 2020, we established our corporate Product Development & Innovation center in Knoxville, TN. We work with our clients to develop risk and reliability-related solutions to meet their needs. Every day, our multidisciplinary team of engineers, software developers, data scientists, data analysts, and cyber security specialists work together to develop innovative digital solutions for a wide range of complex challenges. If you are a motivated self-starter with intellectual curiosity, we’re just what you’re looking for.We are looking for an experienced data scientist to lead the gathering, transformation, and preparation of raw data for analysis and visualization. You will apply cutting edge machine learning techniques to extract critical data from unstructured sources and find patterns that will improve our customers’ operations. The ideal candidate is a team player, critical thinker, and problem solver that enjoys working in a dynamic collaborative environment. This position will require moderate travel based on client and project need. Responsibilities Solve complex, risk and reliability problems facing our government and commercial clients Participate as a data scientist on a multidisciplinary team with engineers, risk analysts, data analysts, software developers, and cyber security analysts Rapidly process customer data from a variety of formats Develop creative, innovative ideas for risk analysis and management Perform research to identify relevant data sources and automate collection processes Be able to translate business needs and gaps into requirements documentation and initial design concepts Pre-process structured and unstructured data Analyze datasets to identify trends and anomalies in data Build predictive models using machine-learning techniques Support deployment of machine learning applications into all environments Troubleshoot, debug, and make improvements to existing machine learning algorithms Meet deadlines in fast-paced, goal-oriented environment Create technical documentation as needed Be comfortable presenting your work to a small audience (10-20 people) conveying data results or facilitating discussion to support a client decision Maintain a positive working environment and can-do attitude to foster productive and healthy team and client relationships Qualifications Required 4+ years of experience as a Data Scientist Deep knowledge and experience with a wide variety of machine learning techniques and related Python packages Extensive experience in Python-based data mining techniques: optical character recognition, natural language processing, web scraping, etc. Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills BSc/BA in Computer Science, Engineering or relevant field U.S. citizen capable of obtaining and maintaining a SECRET level clearance Preferred Graduate degree in Data Science or other quantitative field Proficient with the Git version control system Cybersecurity certification ABS Group is proud to be an equal opportunity employer (EEO Employer/Vet/Disabled). Company: ABS Consulting" Data Scientist,"Washington, DC",Thorn,"Thorn is a non-profit focused on building technology to defend children from sexual abuse. Working at Thorn gives you the opportunity to apply your skills, expertise, and passions to directly impact the lives of vulnerable and abused children. Our staff solves dynamic, quickly evolving problems with our network of partners from tech companies, NGOs, and law enforcement agencies. If you are able to bring clarity to complexity and lightness to heavy problems, you could be a great fit for our team. Earlier this year, our CEO, Julie Cordua, took the stage at TED and shared our audacious goal ( https://www.ted.com/talks/julie_cordua_how_we_can_eliminate_child_sexual_abuse_material_from_the_internet ) of eliminating child sexual abuse material from the internet. A key aspect of our work is partnering with the National Center for Missing & Exploited Children and building technology to optimize the broader ecosystem combating online child sexual abuse. About the Role: As Data Scientist, you will join our small but mighty organization at the early stage of this product, and you will work together with our team to implement and ship a world-class product. You will uncover valuable insights, adding intelligence to our existing and future products. The work you will do will be a combination of finding quick wins and developing longer term research. You will collaborate closely with Engineering and Product to identify insights and models most valuable to research and implement. You will be responsible for acquiring data, crafting and performing analytical experiments in a disciplined manner, evaluating and iterating on results, and discussing results with your team. When you and the team conclude that the model or insight is ready to be shipped, you will partner with members of the Engineering team to simplify, architect, and implement an infrastructure for continuous deployment. What You'll Do:Research and develop statistical modeling for data analysis. Collaborate with team members to drive understanding of product needs and devise possible solutions. Discuss results and ideas with key partners. Implement new statistical, or other mathematical methodologies, as needed for specific models or analysis. Work with Engineering team members on deploying insights and models and continuous model training and deployment. Keep up-to-date with the newest developments in data science and machine learning. Skills We're Seeking:You have have experience in designing and building machine learning models for production. You have a background in data science and statistical analysis. You have experience with natural language processing, computer vision and deep learning. You have an ability and interest in learning new technologies quickly. You have a passion for machine learning and an aptitude to work in a collaborative environment, can demonstrate empathy and strong advocacy for our users, while balancing the vision and constraints of engineering. You communicate clearly, efficiently, and thoughtfully. We're a highly-distributed team, so written communication is crucial. Technologies We Use: You should have non-trivial experience with at least a few of these, but we're open to teaching folks that have the desire and ability to learn the rest. Python Pandas Scikit Learn NLTK, Gensim Tensorflow or Keras or PyTorch etc. Jupyter Thorn is a strong and flexible team because of the diverse backgrounds of our staff. This includes professional background, subject matter expertise, culture, race/ethnicity, sexual orientation, gender identity, and expression, language, hobbies, etc. We strongly encourage women, minorities, and people from underrepresented backgrounds to apply. Your skills are needed here." Data Scientist,"Kansas City, MO",Burns & McDonnell,"Description The Data Scientist is responsible for processing, cleaning, and analyzing large volumes of data to develop business solutions for a wide variety of clients and projects. This position performs tasks utilizing statistics, machine learning, programming, and data modeling to discover information, recognize patterns and trends to address business problems. Develop and apply data solutions for cleansing data to remove errors and review consistency. Perform analysis of data to discover information, business value, patterns and trends in support to guide development of asset business solutions. Gather data, find patterns and relationships and create prediction models to evaluate client assets. Conduct research and apply existing data science methods to business line problems. Monitor client assets and perform predictive and root cause analysis to identify adverse trends; choose best fit methods, define algorithms, and validate and deploy models to achieve desired results. Produce reports and visualizations to communicate technical results and interpretation of trends; effectively communicate findings and recommendations to all areas of the business. All other duties as assigned Qualifications Bachelor's degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program required. Master's degree preferred. Minimum 6 years related experience. Related consulting experience preferred. Experience working with SQL, R, Java, Python, SAS, SPSS required. Experience in data mining and predictive analytics. Experience in machine learning and predictive algorithms. Experience in data visualization. Ability to work with team members and clients to assess needs, provide assistance, and resolve problems. Strong problem-solving and analytical skills. Strong attention to detail. Excellent verbal/written communication, and the ability to present and explain technical concepts to business audiences. EEO/Minorities/Females/Disabled/Veterans Job Business Analysts Primary Location US-MO-Kansas City Schedule: Full-time Travel: Yes, 10 % of the Time About Burns & McDonnell Burns & McDonnell is making the world a better place every day. When we take on some of the world’s toughest challenges, we’re putting the industry’s best thinking to work, striving to create amazing success for our clients and amazing careers for our employee-owners. Our staff of more than 7,000 engineers, architects, construction professionals, scientists, consultants and business professionals is constantly growing. We have offices and projects across the U.S. and around the globe. We are proud to rank among FORTUNE magazine’s 100 Best Companies to Work For. Our culture, powered by 100% employee ownership, plays a major role in getting us there. Each employee brings a high level of commitment to every project. Clients have shown their appreciation of this dedication, rewarding us with a 90% repeat business rate and decades-long partnerships. That’s pretty cool for a firm that started as a small engineering consulting shop back in 1898. At Burns & McDonnell, you’ll have the opportunity to make a difference while fulfilling your personal and professional ambitions. Our entrepreneurial culture lets you guide your destiny and shape the path your career travels. And with hundreds of service specialties, your career and development options are endless. Are you ready to create amazing? Burns & McDonnell is an Equal Opportunity Employer Minorities/Females/Disabled/Veterans Req ID: 192734 \#LI-EF \#T&D" Associate Data Scientist,"Salt Lake City, UT",Collective Medical,"Who we are: Collective Medical is a fast-growing Utah-based company determined to prove that exceptionally crafted software and passionate healthcare providers and health plans, together, can improve the health of some of the most vulnerable members of our community. Our software closes the communication gaps that undermine patient care. We help healthcare professionals work together more seamlessly so that they can deliver a better care experience to their patients. Our network is nationwide. We serve every national health plan, hundreds of hospitals and health systems, tens of thousands of providers, and tens of millions of patients. The result? Our software is proven to reduce the cost of care, streamline coordination across provider teams, and reduce medically-unnecessary hospital visits. Our mission: Eliminate avoidable risk and friction from care delivery. In other words, we work to catch people before they fall through the cracks of our very complicated healthcare system. Why we love working here, in the words of our own team: “We have good, smart, humble, caring people. The people here are good and they care about our mission and the difference we're making in health Care.” “I see the benefits my work provides. The people here are amazing. I feel empowered to succeed.” “I feel like what we do matters and the employees are working together not against each other!” Other reasons we love working here: It’s all. about. the. MISSION. Seriously, we are a highly mission-driven company. The cause is noble and pure. We’re obsessed with culture, people, and opportunity. At or above-market compensation. Unlimited PTO. Generous benefit package including company-sponsored healthcare, dental, vision, disability, life-insurance, 401K. Health and Learning reimbursement. Loaded break room, Monday lunches, and lots of other meals throughout. Quarterly team and company events The Role: Collective Medical is looking for an Associate Data Scientist to support internal and external customer’s analytic and data consulting needs. The Associate Data Scientist will be responsible for visualizing data to drive data driven decision-making with external customers in tracking and monitoring ROI, along with internal customers through tracking and monitoring KPIs. The Associate Data Scientist will prepare, analyze, and review health care data, interpret results and provide recommendations, and manage relationships with our internal and external partners. Responsibilities include: Respond to ad hoc analytic requests from internal and external customers Visualize data to develop a better understanding of the value our customers receive through usages of our software products Create and maintain dashboards and other reporting tools to identify trends using data to drive the business to action Understand and use the data warehouse and relational databases Ensure accurate quality for deliverables by working with peers for appropriate levels of quality assurance Who you'll work with: The Associate Data Scientist will work closely with the many teams through the organization including Marketing, Product, Strategy, Account Management, and Sales, along with the rest of the Data Science team in visualizing and tracking data an analytics to ultimately help our customers improve care coordination. What you’ll be doing day to day: Consulting with product and account management regarding success and ROI metrics for each customer Building metrics and Tableau dashboards to track the success towards companywide and department level KPIs Sharing insights with the company regarding drivers of success and/or areas of opportunity Researching impact of new ideas to help prioritize areas of focus What we’re looking for: Bachelor’s degree (or equivalent experience) in data science, analytics, mathematics, statistics, public health, economics, social, social science, or actuarial science. Master’s degree or PhD preferred, but not required. 2 to 4 years of related analytics work experience or equivalent combination of education and experience Previous healthcare related industry experience a plus Experience with data mining and visualization tools such Python, R, SAS, Java, Tableau, as well as querying languages (SQL, etc.) Knowledge of all Microsoft Office applications, including Word, Excel, and PowerPoint Ability to meet deadlines, work with tight schedules, and manage multiple priorities under minimum supervision Excellent verbal and written communication skills Strong analysis skills Strong attention to detail Experience with cleaning, aggregating, and pre-processing data from varied sources. Experience creating complex SQL queries for standard as well as ad hoc data mining purposes. Find out more about us: https://www.forbes.com/sites/zinamoukheiber/2017/11/29/how-collective-medical-technologies-conquered-emergency-rooms-on-a-bootstrap/#123715c16824 https://www.collectivemedicaltech.com/news/press-releases/collective-medical-secures-47-5-million-in-series-a-funding/ Collective Medical empowers care teams to improve patient outcomes by closing the communication gaps that undermine patient care through seamless collaboration. With a nationwide network covering every national health plan in the country, hundreds of hospitals and health systems and tens of thousands of providers—including hospitals, emergency departments, skilled nursing facilities, primary care providers, mental and behavioral health clinics, and others—Collective Medical’s system-agnostic platform is trusted by healthcare organizations and payers to identify at-risk and complex patients and facilitate actionable collaboration to make better care decisions and improve outcomes. Based in Salt Lake City, Collective Medical is proven to streamline transitions of care, improve coordination across diverse care teams, and reduce unnecessary hospital admissions. Learn more at www.collectivemedicaltech.com and follow us on Twitter, Facebook, and LinkedIn." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Scientist,"Washington, DC",Thorn,"Thorn is a non-profit focused on building technology to defend children from sexual abuse. Working at Thorn gives you the opportunity to apply your skills, expertise, and passions to directly impact the lives of vulnerable and abused children. Our staff solves dynamic, quickly evolving problems with our network of partners from tech companies, NGOs, and law enforcement agencies. If you are able to bring clarity to complexity and lightness to heavy problems, you could be a great fit for our team. Earlier this year, our CEO, Julie Cordua, took the stage at TED and shared our audacious goal ( https://www.ted.com/talks/julie_cordua_how_we_can_eliminate_child_sexual_abuse_material_from_the_internet ) of eliminating child sexual abuse material from the internet. A key aspect of our work is partnering with the National Center for Missing & Exploited Children and building technology to optimize the broader ecosystem combating online child sexual abuse. About the Role: As Data Scientist, you will join our small but mighty organization at the early stage of this product, and you will work together with our team to implement and ship a world-class product. You will uncover valuable insights, adding intelligence to our existing and future products. The work you will do will be a combination of finding quick wins and developing longer term research. You will collaborate closely with Engineering and Product to identify insights and models most valuable to research and implement. You will be responsible for acquiring data, crafting and performing analytical experiments in a disciplined manner, evaluating and iterating on results, and discussing results with your team. When you and the team conclude that the model or insight is ready to be shipped, you will partner with members of the Engineering team to simplify, architect, and implement an infrastructure for continuous deployment. What You'll Do:Research and develop statistical modeling for data analysis. Collaborate with team members to drive understanding of product needs and devise possible solutions. Discuss results and ideas with key partners. Implement new statistical, or other mathematical methodologies, as needed for specific models or analysis. Work with Engineering team members on deploying insights and models and continuous model training and deployment. Keep up-to-date with the newest developments in data science and machine learning. Skills We're Seeking:You have have experience in designing and building machine learning models for production. You have a background in data science and statistical analysis. You have experience with natural language processing, computer vision and deep learning. You have an ability and interest in learning new technologies quickly. You have a passion for machine learning and an aptitude to work in a collaborative environment, can demonstrate empathy and strong advocacy for our users, while balancing the vision and constraints of engineering. You communicate clearly, efficiently, and thoughtfully. We're a highly-distributed team, so written communication is crucial. Technologies We Use: You should have non-trivial experience with at least a few of these, but we're open to teaching folks that have the desire and ability to learn the rest. Python Pandas Scikit Learn NLTK, Gensim Tensorflow or Keras or PyTorch etc. Jupyter Thorn is a strong and flexible team because of the diverse backgrounds of our staff. This includes professional background, subject matter expertise, culture, race/ethnicity, sexual orientation, gender identity, and expression, language, hobbies, etc. We strongly encourage women, minorities, and people from underrepresented backgrounds to apply. Your skills are needed here." "Data Scientist, Google Customer Solutions","Redwood City, CA 94063 (Harbor area)",Google,"Minimum qualifications: Master’s degree in a Quantitative field or equivalent practical experience. 3 years of experience applying statistical models and Machine Learning techniques for Sales and Marketing in B2B or B2C settings. Experience mining data with query languages, conducting statistical analysis, and coding using open source packages. Experience with statistical software and database languages. Preferred qualifications: PhD in a quantitative discipline. 4 years of experience as a statistician, computational biologist, bioinformatician, data scientist or similar occupation. Experience developing end-to-end data-driven solutions. Experience launching and managing analytical projects, and collaborating with teams across geographies and functions. Experience articulating business questions and using mathematical techniques to arrive at an answer using available data, and translating results into business recommendations. Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods. About the job As a Quantitative Analyst, you will be responsible for analyzing large data sets and building expert systems that improve our understanding of the Web and improve the performance of our products. This effort includes performing complex statistical analysis on non-routine problems and working with engineers to embed models into production systems. You will manage fast changing business priorities and interface with product managers and engineers. Google Customer Solutions (GCS) works with businesses and ad agencies of all sizes and industries. Within GCS, the Revenue, Strategy and Operations (RSO) organization provides business critical insights using analytics, ensures cross-functional alignment of goals and execution, and helps teams drive strategic partnerships and new initiatives forward. They focus on aligning the highest-level company priorities with effective day-to-day operations, and help evolve early stage ideas into future-growth initiatives. The Data Science team within RSO helps power a significant portion of Google's business by guiding Sales and Marketing activities. The Data Science team develops, delivers and measures impact of machine learning models and predictive analytics solutions at scale. Recent projects include customer acquisition, routing and sustainability predictions. Our team works in close partnership with several internal teams. As a Data Scientist, you will partner with various teams to develop customer-level recommendations and automated solutions, consolidating existing Google technologies and building new ones. You'll also work with others on the team to harness the power of Google’s data with machine learning, to deliver insights at scale that drive both long-term strategy and near-term operations for Marketing and Sales. When our millions of advertisers and publishers are happy, so are we! Our Google Customer Solutions (GCS) team of entrepreneurial, enthusiastic and client-focused members are the ""human face"" of Google, helping entrepreneurs both individually and broadly build their online presence and grow their businesses. We are dedicated to growing the unique needs of advertising companies. Our teams of strategists, analysts, advisers and support specialists collaborate closely to spot and analyze customer needs and trends. In collaboration, we create and implement business plans broadly for all types of businesses. ResponsibilitiesCollect, cleanse, integrate, data-mine and visualize a variety of internal and external data sources to identify opportunities and influence strategy. Understand business challenges, transform problems into mathematical frameworks, and communicate complex findings in a structured and clear manner to a non-technical audience. Navigate ambiguity, solve complex challenges, and operate in a fast-paced team environment. Design, develop, and deliver Predictive and Machine Learning models to drive customer acquisition and pipeline performance. Collaborate globally with Engineering and Product Management teams for the development and scaling of new data signals and analytical solutions to drive efficiency and effectiveness of sales and marketing. At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form." Data Scientist,"Alexandria, VA",Gridiron IT,"3 Days on Site/2 days remote Job Description (describe the day-to-day): Utilize strong technical and analytical skills to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights, which in turn can address a pressing business problem. Using latest technologies to design and implement analysis infrastructure and tools, analytic workflow processes, and complex data visualizations. Leverage understanding of mathematical and statistical concepts, computer science and or domain expertise to bridge the gap between technologists and program staff, ensuring data solutions meet business requirements.Work developing processes and technical implementations to provide data sets to analytic pilots and innovation efforts. Sanitize data to lower the risks of exposure of sensitive data. Establish and support analytics innovation, including supporting COTS and SAAS analytics tools.Qualifications (minimum requirements, per the contract): · Experience with quantitative analysis and using databases· Experience with writing analytics to answer business or mission problems· Experience with Amazon Web Services analytic offerings including concepts, tools and scripting· Experience with scripting (Python, Bash, R), data transformation, SQL, Graph Databases etc.Experience with machine learning tools such as TensorFlow, H2O· 8+ years of relevant IT experience and a Bachelors Degree (12+ years of relevant IT experience required without a Bachelors Degree)Job Type: Full-timeExperience:Data Scientist: 8 years (Preferred)R: 5 years (Preferred)Python: 5 years (Preferred)TensorFlow: 5 years (Preferred)Education:Bachelor's (Preferred)Location:Alexandria, VA (Preferred)Work Location:One location" Applied Machine Learning Scientist - Uber Eats (NYC),"New York, NY 10018 (Clinton area)",Uber,"At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together. About the Role Are you interested in working at the intersection of machine learning (ML), software engineering, and data science? Do you have an interest in developing and applying quantitative solutions to uniquely challenging problems on Uber Eats? If so, then this is the job for you. About you Strong expertise in machine learning. Prior research or industry experience in Natural Language Processing (NLP), Deep Learning, Reinforcement Learning, Active Learning, bandit-based optimization preferred. Superb quantitative background (e.g. machine learning, statistics, mathematics, or computer science). Graduate degree required. Bias towards action and impact - able to structure a project from idea, prototyping, productionization to impact quantification. Industry experience with a proven track record of delivering impactful results preferred. Familiarity with technical tools including Tensorflow/PyTorch and Hive/Spark. Previous software engineering background a plus. Passionate and attentive self-starter, great communicator, amazing follow-through - you have a great work ethic and love the responsibility of being held accountable for the results. About the Team Uber Eats Data Scientists help solve the most challenging problems related to Uber's ambitious and rapidly expanding on-demand food delivery businesses, which currently operates in more than 45 countries globally and is the largest outside of China. These fascinating and difficult problems include personalized search and recommendation for restaurants and dishes, travel and food preparation time prediction, text mining and natural language processing, demand and supply forecasting, growth and spend optimization, dynamic pricing, dispatch and routing optimization, and many more. Below is a list of sub domains within the Restaurant team: Menu optimization: We leverage state-of-the-art algorithms to efficiently train supervised and semi-supervised models, with the goal of optimizing Menus’ content, structure, prices, and visibility. Knowledge Graph: To enhance the recommendation and search capabilities, we build an extensive knowledge graph to capture the relationship between food, restaurants, users and other marketplace entities using a wealth of data unique to Uber and Uber Eats. Recommendation: We help restaurants optimize their online presence to boost their business and achieve their goals, finding win-win operational goals for both Uber Eats and our restaurant partners." IT Data Analyst / Scientist - Intern,"Southfield, MI",Mission Veterinary Partners,"Position: IT Data Analyst/Scientist - Intern Company: Mission Veterinary Partners Location: Southfield, MI Reports to: Business Intelligence Manager Seeking 1 FT intern About Us: We are a veterinarian-founded network of 60+ animal hospitals throughout the Midwest. While it’s important to know what we are, it’s probably more important to know what drives us – our mission: to be the employer of choice in veterinary medicine. We take the very best care of our veterinary teams so they can take care of their clients and patients. What You’ll Do: Reporting to the Business Intelligence Manager, the Power BI developer – Intern will be responsible for designing, developing and maintaining dashboards/reports that are requested and that will be used throughout MVP. Essential Functions: (included but not limited to) Work with users to design and develop dashboards/reports. Troubleshoot and provide support for new and existing dashboards/reports. Involvement in project work including recommendation, design, testing, and implementation of various dashboard/reporting solutions. Create, update and contribute to technical and self-help documents that are maintained in the IT Knowledgebase. Qualifications: Knowledge of Business Intelligence including Power BI, excel, dashboards and reports Knowledge of SQL Server Databases and SQL queries Strong troubleshooting skills Self-starter, creative and a problem solver Ability and willingness to work 30-40 hours per week What You’ll Get: Opportunities to participate in personal and professional development programs. Signature projects with intention to best match your areas of interest. Great work environment with assigned mentor and supervisor. Hourly wage of $10/hour worked Free MVP Logo’d gear to wear and represent!" Machine Learning Engineer,"Long Beach, CA 90807 (Los Cerritos Area area)",Laserfiche,"Laserfiche is looking for a passionate and highly experienced machine learning expert to help build a machine learning team. Today’s machine learning algorithms play a pivotal role in improving how we solve complex real-life scenarios. Your extensive experience in machine learning, statistical modeling, and natural language processing knowledge will play a key role in spearheading the development of shared components which will be used by our global multi-product platform. You will be responsible for building a team and growing a set of engineers to support this mission. You will actively participate in all phases of the software development lifecycle: analysis, technical design, planning development, testing, release and production support. Your team will interact with providing guidance and developing components for several product teams who are integrating machine learning into their products. As the experienced machine learning engineer, you will be provided with challenging opportunities in a diverse, dynamic and energetic team environment while liaising with various businesses. Laserfiche is the leading global provider of intelligent content management and business process automation. The Laserfiche® platform enables organizations in more than 80 countries to transform into digital businesses. Customers in every industry—including government, education, financial services and manufacturing—use Laserfiche® to boost productivity, scale their business and deliver digital-first customer experiences. Responsibilities Include: Ability to direct the change and enhancement in our current machine learning system and infrastructure Develop scalable and generalized solutions that could be applied to specific and/or other problems Comfortable to provide technical guidance to the new machine learning engineering team Stay on top of the latest advancements in machine learning and software development trends Ability to build end to end scalable machine learning systems Understand the differences between machine learning engineers, data scientists, research scientists/applied research scientists, and distributed systems engineers What You'll Need: 7-10+ years of machine learning experience MS or Ph.D. in CS, Statistics or relevant field Proficiency in multiple programming languages (C/C++, C#/.NET, Python, JavaScript) and willing to learn new languages (as needed) Strong quantitative skills to apply complex statistical methods Extensive awareness of natural language processing techniques and ability to effectively apply them Click here to learn more about Life at Laserfiche" Data Scientist - Marketing Analytics,"Mount Horeb, WI 53572",Duluth Trading Company,"Purpose of Position The Data Scientist-Marketing Analytics will leverage data to aid in the targeting, segmentation, and personalization of Duluth Trading’s marketing campaigns. They will manage full cycle analytics projects, from scoping the business challenge to developing models to implementing and measuring solutions. This is a role that will utilize a mix of deep analytical skills, retail industry knowledge, and relationship management with key internal partners to turn data into insights and actions. What You’ll Love: Being a part of an innovation-driven organization that is growing fast, and taking care of business through catalog, web and retail stores. Working on a team that makes retail workwear for customers who are smart, straight-talking folks who do everything from pounding nails to shoeing horses and pitching bales. POKING AVERAGE IN THE EYE! What You’ll Do: Use advanced analytics methods to extract value from business data Develop and deliver advanced statistical and mathematical models to support segmentation and personalization within the organization Create analytical frameworks to better understand customer behavior, such as lifetime value, price sensitivity, and retention/churn modeling Share results with both technical and non-technical audiences Spread best practices to analytics and marketing teams As a technical leader and subject matter expert, remain current on advanced statistical methods and share knowledge with the organization What We’re Looking for: Help identify internal and external data sources and vendor partnerships that will advance the organization’s capabilities in analytics 5+ years of experience performing quantitative analysis in a retail marketing environment Bachelor’s Degree or greater in quantitative or analytical discipline Hands-on experience using large datasets to draw business insights Fluency in SQL and at least one statistical package such as R, Python, SAS, SPSS Experience building predictive models and performing data mining using various techniques Understanding of machine learning and AI Strong business acumen Ability to prioritize and manage projects to completion with minimal guidance Ability to work independently as well as collaborate effectively in a team environment Who We Are: We are a “no bull” brand that started in 1989 and we provide apparel and other gear for hardworking men and women. Favorites such as our Ballroom® Jeans featuring “crouch without the ouch,"" Buck Naked™ Underwear and our Longtail T® Shirts that hide “plumber’s butt” reflect our attitude. The heart of Duluth Trading’s success is creating one-of-a-kind men’s and women’s clothing, innovative tools and ingenious gadgets while being humorous storytellers. The talented people we seek want to be proud of where they work, have a commitment to do things better and be part of a retail, web and catalog apparel company that knows where it’s going. The responsibilities outlined in this position description are a guideline for the general duties of the position and are not exhaustive of all duties inherent in the job. Duluth Trading Company is an equal opportunity employer." Product Data Scientist,"San Francisco, CA 94103 (South of Market area)",Fivestars,"Are you fascinated by human behavior? Do you have an innate need to understand and influence how people act? Do you naturally look for the soul hidden in the numbers? Can you illuminate that soul and create a story that non-analytical minds can grasp and rally behind? Do you enjoy working with Product and Marketing teams to deliver on customer needs? Does working closely with cross-functional teams excite you? If so, we want you! Fivestars is seeking a Product Data Scientist. Reporting to the Director of Analytics and Data Science, you will work with the Product team at Fivestars to understand customer pain points and deliver value to consumers, merchants, and shareholders. This is a high-visibility/high-impact role expanding our understanding of consumer/merchant behavior, influencing product strategy, and driving the successful growth of Fivestars. We are ideally looking for a candidate who has a solid technical background along with an excellent understanding of human behavior - a practicing behavioral economist! At Fivestars, our mission is to help businesses and communities thrive by turning every transaction into a relationship. Over 50 million people use Fivestars to get rewarded at more than 14,000 local businesses with one rewards program. Local businesses use Fivestars to bring more customers into their stores with an all-in-one marketing and payments program. Fivestars drives over $3 billion in local commerce across its network per year. Fivestars was launched out of Y-Combinator in 2011 (most recently on Y-Combinator's Top 75 Companies List for 2019) and has raised over $105 million from notable investors including Lightspeed, DCM, HarbourVest, Menlo Ventures, Y-Combinator, and others. Together, let's love local! Responsibilities Understand data infrastructure (Redshift/Tableau/Python), product strategy, business model, and competitive landscape Write sophisticated SQL queries to extract data Build dashboards (in Tableau) to help run the business Design and analyze A/B tests to iteratively optimize product Perform complex analyses (using R/Python) to extract learnings and deliver insights Communicate findings - emphasizing clarity, completeness, and actionability Skills SQL – write sophisticated and optimized queries against large databases Business Acumen – understand business drivers Problem Solving – apply structured methods to analyze problems and develop solutions Communication – share easy-to-grasp and actionable insights Build relationships – influence adoption of analytics findings Scripting – use a scripting language like Python/R Tableau – build clear and actionable dashboards (nice to have) Qualifications/Experience Undergraduate degree in a highly quantitative/technical field (e.g. Physics, Computer Science, Economics, etc.) from a top-tier university Graduate degree (MS, MBA, PhD, etc.) in a similar field will be highly valued but is not required 1+ years of experience in an analytics function – ideally in a consumer-facing business. Ability to solve business problems and provide clear and analytically-supported solutions Demonstrated intellectual curiosity Perks Pre-IPO stock options Excellent medical, dental, and vision coverage Great downtown-SF office location 4 weeks PTO + 11 paid-holidays per year Three in-office lunches per week and a fully-stocked kitchen with fruit, (healthy) snacks, coffee, and drinks Team happy hours and company-sponsored events Wellness Benefit - $500 per year to spend on eligible physical or mental well being FSA; short-/long-term disability coverage; life Insurance; 401K; EAP; and commuter benefits Fivestars provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Fivestars complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training." Data Scientist / Statistician,"Dallas, TX 75201 (Main Street District area)",Vinli,"Description: Founded in 2014, Vinli is an automotive technology company based in the heart of Downtown Dallas. In just six years, our team has built the most advanced vehicle data computing platform, grown into the largest connected car app ecosystem, and secured global partnerships with significant players in the telecom, automotive, and asset management industries. Vinli’s fully customizable platform has enabled sophisticated brands to easily engineer connected car services, allowing them to capitalize on both their vehicle data and other related data sources. At Vinli, our passion is building products that unlock the true value of connected cars by showing drivers, passengers and organizations the potential hidden within their vehicles' data. This includes staying on the cutting edge by investing in technologies like machine learning & AI. We are looking for a well-rounded individual with interest and experience in the engineering, mathematical and scientific sides of developing a machine learning product. This role also has the opportunity to develop into a team leadership position. The ideal candidate is located in Dallas, TX, but telecommuting is an option for exceptional candidates with proven remote experience. ABOUT THE ROLE Vinli is looking for an exceptional talent to add to an already amazing team. You’ll have the chance to work with the latest technologies - GoLang based microservices in a true, cloud-based, big-data application environment. You’ll work in partnership with a group of amazing engineers with expertise in designing and building beautiful customer experiences and structuring the data to support them. There will be many opportunities to forge your own path and demonstrate individual excellence, all while pulling together with a team who is ready to support you and eager for your help. We practice Agile development in the true sense - adhering to the principles of Agile, not adhering to a specific methodology. And, we have a lot of fun. Join us in creating the future of mobility. Responsibilities Develop and execute on testing and evaluation methodologies to optimize product prices Perform market research and develop automated methods to keep research up to date Behavioral Segmentation Build production-grade segmentation models using customer behavior data Develop and execute on experimental methodology to focus our digital marketing and maximize the return on ad spend Predictive Model Building & Analysis Build and maintain production-grade clustering, classification, and predictive models Develop algorithms to provide a deeper understanding of our data Contribute to our data models and derive insights from a variety of data sources Experience Master’s degree in statistics, mathematics or related analytical discipline preferred (PhD a plus) Proficiency in statistical models and thinking (probability, regression, segmentation) Proficiency in Python, Spark and SQL 2+ years experience in a fast-paced startup environment a plus Prior experience in price optimization and consumer segmentation is a huge plus! Experience writing production-grade code and running predictive models in production Embrace commitment and support a ‘team-first’ mentality Proven success leveraging data to empower sound decision making Ability to get stuff done, delivering high-quality work on time Desire to solve big problems, embracing challenges with excitement Strong belief in transparency and capable of raising issues or concerns early and often Comfortable with ambiguity, with a passion for collaboration to achieve objectives ABOUT YOU You thrive in challenging environments that require collaborative problem solving You prefer to spend your time coding and collaborating, not in meetings You take pride and responsibility seeing the product you worked on meet the real world for the first time You are capable of independently prioritizing your duties and still work well with a team You can both accept and provide thoughtful, respectful constructive criticism. BENEFITS Vinli offers competitive benefits including health care, PTO, drinks & snacks, and a cool office in walking distance to Deep Ellum, the Dallas Farmers Market, and the historic East Quarter. We are an equal opportunity employer. We strictly prohibit unlawful discrimination or harassment of any kind, including discrimination or harassment on the basis of race, color, national origin, ancestry, religion, veteran status, age, pregnancy status, sex, gender identity or expression, sexual orientation, marital status, mental or physical disability, medical condition, or any other characteristics protected by law. We also make all reasonable accommodations to meet our obligations under laws protecting the rights of the disabled. Vinli Core Values Integrity. Doing what you say you will do at Vinli is our way of building trust among our team members, partners, investors and vendors. We believe that maintaining integrity requires an openness and empathy in sharing goals and challenges with others. Drive to Innovate. People at Vinli don’t just love to learn, they feel compelled to use their knowledge to make our Company and the world a better place. We believe in learning from our mistakes and always challenging ourselves to innovate - from the biggest product decisions to the smallest processes. Joyful Work Environment. Loving where you work isn’t about ping pong tables and free snacks. It’s the feeling that you wouldn’t want to be on a project with any other team. It’s the feeling that you can get creative energy just by showing up to work. It’s the feeling that your entire team respects your life away from the job and understands how work impacts it. At Vinli, we believe in building camaraderie and joy in our environment by supporting and encouraging each other every day." Data Scientist,"Charlottesville, VA 22902",Bluestone Analytics,"Your ImpactAs a Data Scientist at Bluestone Analytics, you will design, develop, test, deploy, and maintain machine learning techniques that support our cyber threat intelligence platform. This role is contingent upon award of a contract. In a typical week, you may: Work with stakeholders to design and implement machine learning systems that solve complex problemsDevelop robust data visualizations and dashboards to communicate trends and key insightsDeploy machine-learning models on cloud infrastructureCollaborate with DevOps and UI teams to integrate AI features within the platformStay up-to-date on applicable machine learning techniques and programming methodsContribute to Bluestone Analytics’ reputation for thought leadership in threat intelligence by attending conferences and networking eventsYour BackgroundStrong programming skills, especially in Python, SQL, and RProficiency developing and operating machine learning systems in production settingsProven track-record of and identifying and proposing creative, data-driven solutionsDemonstrated effective communication and collaboration skillsEligible to obtain a DoD Security ClearancePreferred Skills2-4 years of experience in machine learning, data analytics, or related fieldB.S. or M.S. in machine learning, computer science, mathematics, or related field preferredFamiliarity with data visualization tools such as Tableau and KibanaDOD TS//SCI clearance preferred but not requiredOur Cyber Threat Intelligence PlatformSPA built with JavaScript, leveraging React, ElasticSearch and AWSData aggregation and analysis via PythonProvides near-real-time actionable cyber threat intelligence to clients including the DoD and Fortune 500 companiesPhysical DemandsProlonged periods sitting at a desk and working on a computerMust be able to lift up to 15 pounds at timesAbout Bluestone AnalyticsBluestone Analytics is committed to creating a supportive, inclusive, and fun work environment for all employees. We are proud to provide equal employment opportunities without regard to race, color, religion, age, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. We offer competitive compensation and benefits including health insurance, IRA contributions, and ample opportunities for continued learning and professional development.Job Type: Full-timeExperience:Machine Learning: 1 year (Preferred)Data Analytics: 1 year (Preferred)Data Visualization: 1 year (Preferred)Python: 1 year (Preferred)Location:Charlottesville, VA 22902 (Required)Work authorization:United States (Required)Application Question:Are you eligible to obtain a US DoD Security Clearance?Additional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible schedule" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Data Scientist,"Philadelphia, PA",Comcast,"Business Unit: The Device Software Product Management team is responsible for the management of software strategy & roadmap for all Comcast & Sky devices. This generally includes a broad set of responsibilities including: strategy development, product discovery of new technologies, external & internal partnerships, software roadmap definition, management and prioritization for new and existing devices. As a data scientist, you will play a pivotal role in improving Comcast’s WiFi product! You will collaborate with a multi-disciplinary team of engineers, architects, product managers and external partners to derive key insights that will be used for decision making, producing reports for both internal consumption and TPX SLT and driving device/platform requirements and improvements! Core Responsibilities: Work with large, complex data sets and apply analytical and statistical methods to derive global and local trends relative to WiFi performance for both CPE & connected clients and associated operational metrics. Synthesize trends into insights to make product recommendations with effective presentations of findings at multiple levels of partners through visual display of quantitative information Build and prototype analysis pipeline iteratively to provide insights at scale. Develop understanding of Comcast data structures and metrics, advocating for changes where needed for both product and platform development. Establish performance baselines, develop and deploy predictive models to forecast improvements, keep track of benefits realization as new features are developed & deployed May serve as team leader. Mentors and trains junior team members. Qualifications: MS degree in a quantitative discipline (e.g., data analytics, statistics, operations research, bioinformatics, computer science, mathematics, physics, electrical engineering, industrial engineering). 3-5 years of meaningful work experience in data analysis or related field. (e.g., as an engineer, data scientist) Strong sense of independence and intellectual curiosity. Ability to think, communicate and execute from big picture strategy to execution details Strong foundation in data analytics, statistics and machine learning Experience in writing code in SQL & Python (Scala, Unix) Experience in operating in Big Data Pipelines (Spark, Hive, SQL engines) batch and streaming Experience in developing and deploying Machine Learning models and data story telling with visualizations Preferred qualifications: PhD degree in a quantitative discipline as listed in Minimum Qualifications Applied experience with machine learning on large datasets (Spark) Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations. Demonstrated skills in selecting the right statistical tools given a data analysis problem. Proven effective written and verbal communication skills. Displayed leadership and self-direction. Showcased willingness to both teach others and learn new techniques. This position is ineligible for visa sponsorship. To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future Comcast is an EOE/Veterans/Disabled/LGBT employer" Data Scientist,"Palo Alto, CA 94301 (Crescent Park area)",LIVE OBJECTS,"About Live Objects Live Objects delivers continuous business process optimizations to the enterprise through AI-driven automation of discovery, design and process engineering by mining patterns in business objects, cases, and transactions across all process variations. The product integrates deeply with business process management platforms (like SAP, Salesforce, etc.) and delivers continuous process engineering natively as on-demand compositions through the platform’s interfaces. Live Objects’ path-breaking process-calculus engine models predictive, diagnostic and quality-related projections for live cases in business processes. Its AI-driven on-demand process reengineering engine composes process enhancements with rule-based associations with business objects for delivering quantified time, process, margin, and cost efficiency gains. The on-demand compositions can be subject to review by functional subject matter experts in CRM, ERP, MRP, order-to-cash, etc. before deploying them into live business processes. Ongoing client engagements include self-optimizing a wide spectrum of business processes including master data management, order-to-cash, sales distribution, and supply-chain management. The company is based in Palo Alto and venture funded by The Hive. The Hive is a fund and co-creation studio for AI-powered enterprise applications. About the Role The Data Scientist will drive the design and development of key artificial intelligence (AI) components of the platform including named entity recognition in natural language text, classifying business process actions from unstructured data, sequence mining actions into business process models and risk/conformance modeling. Responsibilities As a Data Scientist of a fast-growing startup, the successful candidate will be leading the development of key aspects of Live Objects’ product: Data mining using state-of-the-art methods Selecting features, building and optimizing classifiers using machine learning techniques Extending the company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Creating automated anomaly detection systems and constant tracking of its performance About You The successful candidate will have experience in working in innovative projects with fast-paced delivery schedules in startups & large enterprises: Proven track record of analyzing large-scale complex data sets, modeling and machine learning algorithms Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with common data science toolkits, such as R, Python (NumPy, SciPy, Pandas ), Matlab Experience in deep learning frameworks (e.g., Tensorflow, MxNet), and Large-scale optimization preferred. Experience with NLP toolkits such as NLTK, OpenNLP, Stanford CoreNLP, etc. Proficiency in using query languages such as SQL Experience with NoSQL databases, such as MongoDB, Cassandra Good applied statistics skills, such as distributions, statistical testing, regression, etc. 5 – 10 years of experience in Applied Machine learning Educational background in a relevant field (Computer Science, Applied Math, Statistics) Please send your resumes to jobs@liveobjects.ai" Principal Data Scientist,"Santa Barbara, CA",Briq,"The Startup Located in breathtaking downtown Santa Barbara, centered in the vibrant, up-and-coming Haley Corridor, Briq is altering the landscape for construction decision making. We are harnessing the power of data to build the industry's first construction data cloud. Leaders in automation, machine learning, and artificial intelligence, Briq is helping construction companies minimize risk and maximize success. The Skinny Briq is ready for curious, charismatic, creative people to join the Engineering Team at one of the fastest-growing construction analytics companies. Our team of strategists, leaders, data scientists, and change-makers are revolutionizing the world by providing data tools that improve decision-making in one of the most predominant industries today. Our clients are among the largest builders in the world; responsible for creating the infrastructure you thrive on and designing the cities you live, work and play in. They are hungry for better, smarter data and we are hungry for your talents to help make it happen. The Skill The Briq Engineering team is looking for a Principal Data Scientist to fuel our accelerated growth. We are rapidly growing and ready for someone who harbors a passion for crafting and deploying top quality, high-performing, data, AI, and analytic systems to join the Briq family in evolving our platform and changing the world of construction. The Principal Data Scientist will guide the engineering team in decision-making and best practices; ensuring a consistently high-quality product while: Driving engineering culture of excellence in partnership with product teams Leading technical direction on design, implementation, and deployment of data services and pipelines that satisfy the evolving needs of our customers Coordinating leadership contribution and buy-in to design planning process across Briq products and services Ensuring the use of data and AI is woven throughout the Briq enterprise Establishing organizational best-practices scalable across teams and products resulting in consistent, high-quality, industry standard-setting analytics and AI systems Building internal and external relationships as a Briq evangelist and thought leaderThe Standard To be successful as a principal data scientist, you will have exceptional leadership, communication and project management skills with a deep understanding of software systems at multiple levels of abstraction and an intrinsic desire to develop the skills and talents of others. You take a keen interest in international trends in engineering and leadership and harbor an above average emotional intelligence. Moreover, your background likely looks a lot like this: Fifteen (15) years of experience in artificial intelligence, machine learning, natural language processing or related areas in the context of web-based software development/software engineering, data warehousing, or other client/server applications, Master's degree in Computer Science or a related field, PhD preferred, Actively participated in a development team operating at large scale, Technically led a team of data scientists and demonstrated mentoring skills within the group, Experience with a wide range of programming languages such as Python and Scala, Experience with relational and noSQL databases, Experience with real world applications of artificial intelligence and machine learning, Proficiency with cloud computing providers such as Amazon Web Services, Google Cloud Services, or Microsoft Azure.The Briq platform is used by construction leaders looking for meaning in their data. You'll join a highly collaborative and passionate engineering and product organization who are on a mission to help people see and understand data, dedicated to building a fantastic company and workplace, and are relentlessly focused on our customers and on building amazing products. Principal software engineers report directly to the CTO and work closely with the director of engineering to support all aspects of developing and operating our products. Briq is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you think you have what it takes to thrive here, we want you!" Data Science Internship,"Herndon, VA 20171","Deltek, Inc.","Are you a career-driven student looking to take your first step into the world of analytics and data science? Deltek, the leading global provider of enterprise software and information solutions for project-based businesses, is seeking interns for an 8-week program for Summer 2020. Candidates must be able to think on their feet, take initiative to assist their teams, and be willing to contribute new ideas to already established processes. Interns will receive hands-on experience to prepare them for a rewarding career in data science and analytics with Deltek after graduation. Candidates are expected to work 40 hours per week during the internship and be fully invested in the program. Start your career on the right foot by joining a Fortune 500 company that fosters and builds upon your career goals.Responsibilities: Performs statistical and exploratory analysis to identify key opportunities within our customer portfolio. Collaborates with key business stakeholders to understand source systems and their interactions. Develops and prototypes machine learning models that fulfill a business need or value. Conducts model performance analysis, audit, and documentation duties as necessary Qualifications In order to be considered for this position we would love for you to have the following: Currently enrolled in college/university with plans to graduate in May 2021 or May 2022 with the goal of pursuing a career in Data Science and Analytics Familiar with Python, Probability and Statistics, Databases, Machine Learning, and Data Visualization Ability to work approximately 40 hours per week for 8 weeks Ability to commute to Herndon, VA Please note that we do not offer relocation assistance or housing assistance through our Internship program" Intern - Data Science (part-time),"Denver, CO 80202 (Union Station area)",McKinsey & Company,"QUALIFICATIONS At least 3rd year Students, preferable degrees are mathematics, statistics, physics, computer science or a related field Programming experience in Python or any other data science tool. Experience in working with large data sets and relational databases is highly desirable (SQL) Ability to work collaboratively in a team environment Ability to work effectively with people at all levels in an organization Ability to communicate technical and analytical content in an understandable way in both Russian and English Minimum monthly working hours - 100 hoursWHO YOU'LL WORK WITH You’ll work with our Analytics group in Moscow. As a member of this team, you’ll work with our consulting teams to carry out complex data analysis and modeling, creating a foundation for sound recommendations for client studies and internal projects. Please note that this role is an entry-level part-time position within McKinsey’s Knowledge Network. WHAT YOU'LL DO You will support our consultants and clients in a variety of industries by creating complex mathematical and economic models. You’ll develop prototypes in Excel, conduct analyses in statistics, optimization and simulation, and evaluate large data sets. Your work will be project-oriented, and you will often be responsible for the entire analytical process from task definition to interpretation of results and delivery to the client. In collaboration with our consultants and clients, you will discuss your results constructively, in continuous search of the best possible solution. You will work in both the Moscow office as well as on-site with clients. Your work will be multifaceted and exciting, and you will gain insights into many industries and topics. In project work and in exchanges with colleagues, you will deal with new intellectual challenges daily as well as build your industry and methodology knowledge on an ongoing basis. A clearly defined career path will help you to continuously develop your skills." Data Scientist,"Lakewood, CO",Regions Bank,"Thank you for your interest in a career at Regions. At Regions, we believe associates deserve more than just a job. We believe in offering performance-driven individuals a place where they can build a career - a place to expect more opportunities. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice. Regions is dedicated to taking appropriate steps to safeguard and protect private and personally identifiable information you submit. The information that you submit will be collected and reviewed by associates, consultants, and vendors of Regions in order to evaluate your qualifications and experience for job opportunities and will not be used for marketing purposes, sold, or shared outside of Regions unless required by law. Such information will be stored for a set period of time. You may review, modify, or update your information by visiting and logging into the careers section of the system. Job Description: At Regions, the Data Scientist works with multiple teams of data scientists, analysts and visualization experts contributing independently to solve high complexity business problems. The ideal candidate has a depth of knowledge in quantitative analytic methods, data management, visualization, and programming skills suitable to drive data driven decisions. This position researches, models, implements and validates algorithms (predictive and prescriptive) to analyze diverse sources of data to achieve targeted outcomes. Primary Responsibilities Works with large, structured, and un-structured datasets Uses quantitative and analytical techniques to accelerate profitable growth and customer engagement - unlocking value across all functional areas of business Uses Big Data tools (Hadoop, Spark, H2O, CDSW, Domino Labs, etc.) to build data analytics solutions. Builds machine learning and Artificial Intelligence (AI) models from development through testing and validation Designs rich data visualizations to communicate complex ideas to business leaders and executives Draws insights from data to make quick, well informed decisions with available information Demonstrates ability to continuously learn and provide value in a dynamic environment This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay. Requirements Bachelor’s degree and eight (8) years of experience OR Master’s degree and four (4) years of experience OR Ph.D. and two (2) years of experience in a quantitative/analytical/STEM field Two (2) years of working experience in Machine Learning, Deep Learning, or Artificial Intelligence Two (2) years of working programming experience in Python, Ruby, R, Matlab, Scala, or Java One (1) year of working experience in Big Data Technology in Hadoop, Hive, Impala, Spark, or Kafka Preferences Background in banking and/or other financial services Experience in libraries such as TensorFlow, Pytorch, or Keras Experience in Agile Software Development Knowledge in Google Analytics and/or Adobe Digital Skills and Competencies Strong business acumen with the ability to communicate with both business and Information Technology (IT) leaders Deep understanding of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, and recommendation and optimization algorithms Expertise in analyzing large, complex, multi-dimensional datasets using a variety of tools like Python, R, Statistical Analysis System (SAS), or Statistical Package for the Social Sciences (SPSS) Comfortable with both relational databases and Hadoop-based data mining frameworks Advanced Structured Query Language (SQL) skills Proficient in visualization tools like Power Business Intelligence (BI), Tableau Strong communication skills through data visualizations, written and oral presentations Position Type Full time Location Details Denver - Union Blvd Location: Lakewood, Colorado EEO/AA/Minorities/Females/Disabled/Veterans" Jr. Data Scientist,"Chesterfield, MO 63017",Wise Equation Solutions,"Job Location: Chesterfield, MO Must-Have Skills: Data Analytics Models, Algorithms and Solutions, Analytics and Artificial Intelligence, Machine Learning, Data Visualization. Job Description: Skills relating to Mathematics/Statistics . Graduate/Engineer/Post-Graduate with a huge interest in handling numbers. Ability to understand all domains in businesses across various sectors. A natural passion for numbers, business, coding, Analytics, and Artificial Intelligence, Machine Learning, visualization. Good verbal and written communication skills. Analyze large and complex data sets from multiple sources. Develop and evaluate data analytics models, algorithms and solutions. Implement algorithms to mine targeted data and the ability to convert data into a business story. Translate business requirements into technical requirements. Data extraction, preparation, and transformation. Identify, develop and implement statistical techniques and algorithms that address business challenges and adds value to the organization. Gather requirements and communicate findings in the form of a meaningful story with the stakeholders. Create and implement data models. Interact with clients for queries and delivery adoption.Education Requirement: All User Experience/Social Computing, Software Design, Library Sciences, Data Mining, Cyber Security, Information Systems Management, Computer Science, Computer Systems Networking & Telecommunications, Data Science, and Computer Programming majors." Senior Data Scientist,"Cincinnati, OH",ABC INFORMATION TECHNOLOGY GROUP,"Data Scientist who will support our customer’s product, sales, leadership and marketing teams with insights gained from analysing data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Roles and responsibilities.Job Type: Full-timeSalary: $49.00 to $60.00 /hourAdditional Compensation:Other formsWork Location:One locationSchedule:Monday to Friday" Undergraduate Internship/Co-op Program - Data Scientist,"Washington, DC",Central Intelligence Agency,"As a Data Scientist Undergraduate Intern for the CIA, you will work side-by-side with other Data Scientists to organize and interpret data to inform US decision makers, drive successful operations and shape CIA technology and resource investments. Through CIA's global mission, the Agency has access to unique and highly specialized data sets. You will work with advanced hardware, software and techniques to develop computational algorithms and statistical methods that find patterns and relationships in large volumes of data. Data Scientists clearly communicate their conclusions to a diverse audience and become experts through Agency-sponsored continuing education, attendance at academic and technical conferences as well as collaboration with the Intelligence Community. Offices of the CIA – Directorate of Digital Innovation The Directorate of Digital Innovation (DDI) is at the forefront of defining the future of digital expertise within the CIA. DDI focuses on developing the workforce with cutting-edge skills, investing in IT infrastructure, and modernizing the way the Agency does business. DDI officers help accelerate the integration of innovative methods and tools to enhance the CIA's cyber and digital capabilities on a global scale and ultimately help safeguard our nation. Learn more about the Directorate of Digital Innovation. See our work in action: Life at CIA In addition to a comprehensive benefits package, the CIA offers exciting career opportunities and a dynamic environment. We're on the forefront of world-altering events – as they happen. So working here isn't just a job, it's a mindset and a lifestyle. US citizenship required (dual-national US citizens eligible). All positions require relocation to the Washington, DC metro area. Minimum Qualifications: Full-time student pursuing a Bachelor's degree in a technical field GPA of at least 3.0 on a 4-point scale Availability to work two 90-day tours prior to graduation Attending school on a full-time basis before/following this internship Creativity Initiative Integrity Leadership abilities Problem solving skills Ability to work in a diverse team environment Desired Qualifications: Interest or experience in a science, technology, engineering or mathematics (STEM) related field, such as: Computational social science Computer science Data analytics Economics Engineering Geospatial analysis Mathematics Operations research Quantitative finance Statistics All applicants must successfully complete: A thorough medical and psychological exam A polygraph interview A comprehensive background investigation To be considered suitable for Agency employment, applicants must generally not have used illegal drugs within the last 12 months. The issue of illegal drug use prior to 12 months ago is carefully evaluated during the medical and security processing." Data Scientist,"Boston, MA",IT Concepts Inc.,"The Role: Our customer is looking to improve the ingestion and exploitation of data by deploying innovative technologies to filter and categorize the vast amounts of data. The Company: We opened our doors in 2003 and have developed long-standing relationships with our customers, both public and private We’re an SBA 8(a) and CVE certified Service Disabled Veteran Owned Small Business We’re ISO 27001:2013, ISO 20000-1:2011, and ISO 9001:2015 certified and have CMMI DEV and SVC ML3 ratings We’ve been named part of: Inc 5000’s Fastest Growing Private Companies in 2016; Washington Business Journal’s Fastest Growing Companies in 2015, 2016 and 2017; Washington Business Journal’s Best Places to Work in 2015, 2016 and 2017 The Employer: We offer great benefits - Paid Time Off, Medical, Dental and Vision Insurance, 401(k) with company matching We invest in our employees – We offer an annual training budget to our employees and opportunities for growth within the organization We work hard, we play hard – We value work/life balance. We hold seasonal company events and a Washington Nationals Season Tickets lottery What will you be doing?: Building solutions to give time back to analysts to perform analytics giving them more relevant and accurate data from the various data sources they may not be aware of while maintaining referenceable data provenance. Research and develop categorization, correlation, and learning models for data analysis and data discovery Collaborate with customers and stakeholders to devise possible solutions for data sharing environments Keep up-to-date with the latest technology trends, communicating results and ideas to key decision makers Implement new statistical or other mathematical methodologies as needed for specific models or analysis Support synergizing data solutions with IT requirements management products for new initiatives to include data modeling Communicate and coordinate with program stakeholders You meet our “must haves” if: You have 7+ years of relevant experience Experience in theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization. Experience developing in languages commonly used for data analysis such as Python, R, Julia, or SAS Experience working with databases such as SQL or MongoDB. Experience working with large-scale data sets. Experience producing data visualizations for a variety of different audiences. Excellent verbal and written communications skills along with the ability to present technical data and approaches to both technical and non- technical audiences. Clearance requirements: Must have an active Secret ClearanceThis position is contingent upon budget, and/or customer approval. IT Concepts is an Affirmative Action/Equal Opportunity employer. As such, any personnel decisions (hire, promotion, job status, etc.) on applicants and/or employees are based on merit, qualifications, competence and business needs, not on race, color, citizenship status, national origin, ancestry, gender, sexual orientation, gender identity, age, religion, creed, physical or mental disability, pregnancy, childbirth or related medical condition, genetic information of the employee or family member of the employee, marital status, veteran status, political affiliation, or any other factor protected by federal, state or local law. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable Accommodations may be made to enable qualified individuals with disabilities to perform the essential functions." Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Data Scientist, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of environments (including various databases, Linux servers, and Hadoop). You’ll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment.Expected Qualifications: Bachelor’s degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree strongly preferred 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analytics Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc. Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc. Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) Excellent communication skills Passion for extracting hidden insights and building machine learning systems that enhance business outcomes About GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Scientist Research Programmer,"Los Angeles, CA",RAND Corporation,"Job Type: Regular Position Description Responsibilities Work as a member of research teams to identify and answer important research questions Acquire a strong understanding of research topics and a thorough knowledge of the data and programming efforts involved Answer research questions by using appropriate data analytic techniques Drive the collection of new data and the refinement of existing data sources Communicate findings to both technical and non-technical staff Qualifications Expert knowledge of programming languages such as Python or R Experience working with distributed computing tools like Spark or Hadoop Experience with cloud platform providers like Amazon Web Services or Microsoft Azure Experience with machine learning, artificial intelligence, and data mining Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources A strong passion for empirical research and for answering hard questions using quantitative methods A flexible analytic approach that allows for results at varying levels of precision The successful candidate will be a highly motivated self-starter with the ability to solve data analysis problems independently Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner Education Requirements BA/BS in Applied Mathematics, Statistics, Operations Research, Computer Science, Engineering, Economics, or related field required; MA/MS preferred. Experience 2 years minimum relavant experience required, 3 or more years relevant experience preferred Security Clearance This position requires a security clearance or the ability to obtain one. Equal Opportunity Employer- minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity" (Junior) Data Scientist - Supply Chain & Operations,"New York, NY 10019 (Midtown area)",Penguin Random House LLC,"It’s an exciting time for publishing so we are looking for either a Junior Data Scientist or a Data Scientist to join our team! In this role, you will be working on the forefront of the digital transformation within the largest English language publisher. Due to the sheer scale of our organization, our supply chain and operational processes are key efficiency levers to drive our business forward. You will assist in identifying and leading supply chain analytics-based initiatives globally that will help create a competitively advantaged supply chain.Using data science and machine learning related technologies and techniques unlocks value at scale from production to distribution. Collectively, these activities will improve customer experience, costs, and inventory productivity along with building capabilities to enable growth.This role has a strong emphasis on cross-functional work conducting end-to-end solutions that includes gathering data, gaining insights, developing solutions, and presenting recommendations to both technical and non-technical stakeholders. We are looking for individuals with a strong quantitative or technical background who are interested in helping tackle difficult data problems to achieve real business impact.If you have a passion for data science, complex analytical challenges and are comfortable working with big data, we’d like to hear from you! In this role, you will: Work cross-functionally with data scientists, data engineers, business intelligence, and other stakeholders across the entire supply chain. Execute end-to-end data science projects, including ideation, data collection/engineering, modeling/machine learning, interpretation/visualization and deployment. Improve upon existing methodologies by developing new models, making model enhancements, and fine-tuning model parameters. Create ad hoc, regular and automated data analysis and reporting with respect to inventory, back-orders, sales analysis, and returns. Use financial, transactional and billing data to build models for monitoring risk exposure and client behavior. Develop supply chain and operations data science best practices to enable global knowledge transfer and to foster cross-divisional learning. Communicate verbally and in writing to colleagues with various levels of technical knowledge, educating them about our solutions, as well as sharing insights and recommendations. Prioritize and multitask in a deadline driven environment and being keen to learn. Please apply if you meet the following minimum requirements: BA/BS/MS in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Engineering, Operations Research, etc. At least 1 year of related working experience Strong fluency and scripting experience with a scientific programming language; Python strongly preferred Experience in processing, filtering, and presenting large quantities (millions of rows) of data from (non-) relational databases (SQL, Spark, etc.) Excellent communication skills with the ability to identify and communicate data-driven insights and solutions Being a team player, and able to work with others across various levels and roles Experience with AWS, Docker, Kubernetes, or similar tools, are a plus Penguin Random House is the leading adult and children’s publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 250 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children’s Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at http://www.penguinrandomhouse.com/. Penguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. Company: Penguin Random House LLC Country: United States of America State/Region: New York City: NEW YORK Postal Code: 10019 Job ID: 70621" Data Scientist,"Boulder, CO",Specialized Bicycle Components,"Do you have a passion for harnessing diverse datasets to drive consumer experiences and business outcomes? Are you simultaneously comfortable with statistical analysis/inference and modern deep learning and machine learning approaches? Can you combine a diverse array of data science techniques and tools to ultimately create personalized recommendation engines? If you were able to answer yes to these questions then we want to talk to you! We are searching for a Data Scientist to join our team and be a leader that will ultimately build a modern data function for Specialized! HOW YOU’LL MAKE A DIFFERENCE End-to-end deep learning/machine learning application: data analysis and idea conceptualization, model definition and refinement, creation of proof of concept, production development and deployment. Benchmark, investigate, and propose newest techniques and approaches to harnessing AI for personalized recommendations. Create specific algorithms to drive product and experience recommendations. Big data analysis and support of multiple teams, including product development and operations planning. Define necessary data architecture to support application of models/algorithms and data analysis. WHAT YOU NEED TO WIN Graduate degree and/or multiple years experience in Data Science or related field (Computer Science, Mathematics, Statistics, Engineering). 3-5 years experience with a variety of machine learning / deep learning techniques, including model development and production deployment. Experience with SQL/Python/R Experience with recommendation algorithms Experience with data analysis tools and techniques, particularly big data approaches Passion for cycling or outdoor industry First and foremost, we are riders. We share the core belief that bikes change lives. From product development and operations, to finance and marketing - every role at Specialized contributes to a culture of sustainable, global growth and innovation. We are always looking for passionate people to join the team who are interested in learning and growing far above the scope of the position. You’ll be challenged in many different ways and have a tremendous amount of opportunity. All with an eye towards growing people and expanding careers. You’ll be working alongside a passionate, driven team and there are some great benefits including daily lunch rides, onsite yoga classes, and all of the bagels your heart desires on Friday mornings. Come ride with us! See what we are up to on LinkedIn, Instagram, and most importantly, our #DogsofSpecialized." Data Scientist/Lead Data Scientist - LA,"Los Angeles, CA",BlueLabs Analytics,"Lead Data Scientist Data Scientists and Lead Data Scientists use a combination of statistics, programming, and domain knowledge to solve problems, ranging from customized solutions for specific clients to creating the methodological backbone for our general purpose products. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. What you'll do: Analyzes data, as well as contributes to the design, implementation, and delivery of analytics products and services. Builds predictive models, tools, and data visualizations. Oversees and/or leads research development project and data science project plans for clients and internal initiatives. Strives to support team excellence by documenting processes and evangelizing new approaches. Preferred Experience & Background: At least 4 years working in a quantitative production environment or a postgraduate degree in a quantitative field. Advanced understanding of a statistical programming language such as R, Python, or Julia. Experience building predictive models using regression and machine learning techniques. Ability to manipulate data with SQL. Proven experience creating analytics output within a production-oriented team. Ability to effectively communicate technical concepts to a non-technical audience, both in writing and verbally. Publications, working papers, or conference presentations in a quantitative field. Experience managing diverse, multi-disciplinary teams and mentoring staff. Knowledge of experimental design and causal inference. Ability to create user interfaces for new products using frameworks such as Shiny or Django. Experience with GIS. Experience creating informative and engaging data visualizations using industry leading tools. This position is available in DC, NY, & LA At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, and disabilities are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees." Data Scientist,"Washington, DC 20005 (Logan Circle area)",Ensemble IP,"We are… We are Ensemble IP, a forward-thinking team of IP Industry veterans building a new approach to patent search and analysis. We believe that the highest quality search is the result of the right technical expert using the right search techniques and the right technology. We have a fast-paced collaborative culture focused on delighting our customers with high quality research products and fantastic service. Every single one of us is an integral part of the mission and we believe in working together to meet our goals. We enjoy our work and are passionate about our mission; we have fun each day and take satisfaction in a job well done. You are… You enjoy a challenge are ready to roll your sleeves up and get to work. You aren’t afraid to ask for help and enjoy learning new things, even if it is just a new way to complete a familiar task. You stay focused on the goal, but are flexible and can adapt to changes in plans. You work well independently and effectively manage your own deadlines and goals. You work well as part of a virtual team and make an effort to stay connected with your colleagues around the digital “water cooler”. The role... The Data Scientist will be responsible for the development and execution of our data science and analytics strategy to support the needs of the business as we grow. As a start-up, this individual will have the unique opportunity to take part in the design and implementation of our data science policies and activities. In this role, you will: Work closely with internal stakeholders to build state-of-the-art data science solutions Train and deploy machine learning models (selecting features, building and optimizing classifiers, monitor and interpret model accuracy statistics, and evaluate performance of the models) Design and development of robust machine learning algorithms, including Natural Language Processing (NLP) models Build processes for extracting, cleaning and transforming data (and extend data with external sources of information, through open source APIs) Present findings to through written documentation, calls and presentations that include well documented code / technical and non-technical solution summaries Adopt modern data science best-practice (e.g. Git / Docker / cloud deployment) Requirements An advanced degree (Master's or Doctoral) in a quantitative field including, but not limited to, Computer Science or Applied Statistics Excellent scripting and programming ability in Python and familiar with libraries such as NLTK and Gensim Experience with NLP models such as Topic Models, Word2Vec, and LSTM for text analytics Strong experience in machine learning, including deep learning and statistical models solving real-world problems SQL and experience with databases (SQL Server, Postgres etc) Experience with Microsoft Azure or AWS Practical knowledge of deep learning using PyTorch / Keras / Tensorflow Strong research and problem solving skills, excellent organization, communication and interpersonal skills" Data Scientist Intern- Summer 2020,"Greensboro, NC 27410","APEX Analytix, LLC","A snapshot of what you would do: The Data Scientist Intern is responsible for extracting data from multiple different sources and finding useful insights as well as building predictive models. Desired candidate will possess strong analytical and technical skills as well as exhibit self-motivation. This individual will be working with cutting-edge technologies using predictive analytics and machine learning to enhance our company’s automation and drive smarter recoveries, controls, analytics, and working capital. Extract data from multiple different sources (databases, web APIs, flat files etc.) Understand problems in the data and come up with solutions Mine vast amounts of data for useful insights Generate meaningful data visualizations Build predictive models with machine learning algorithms Implement models in production environment Create monitoring systems to monitor the scoring models in production Communicate findings to the management Make recommendations to optimize business processes based on model results, trends, insights etc. Skills: Ability to effectively communicate with both internal and external customers. Ability to take ownership of the end to end flow of data analytics throughout the entire data science project. Ability to collaborate with other team members. Strong investigative skills. Strong Problem-solving skills. Strong communication skills. Deep understanding of statistical and predictive modeling concepts, machine learning, clustering and classifications techniques Extensive knowledge in SQL in any of MS SQL Server, MySql, DB2, Oracle etc. environments. Solid knowledge and experience in any statistical tool and language (R, Stata, SAS, Python etc.) Good machine learning knowledge in Spark on a Hadoop multi node cluster Working knowledge of Excel Knowledge of deep learning is a plus Education and Experience: Currently pursuing Ph.D. or Master’s degree in Mathematics, Statistics, Operations Research, Data Science or related quantitative field Deadline to Apply: Friday, February 28th, 2020 About Us: APEX Analytix is the first to bring Cognitive Technology, including IBM Watson®, to the apexportal and AP Recovery Audit industry to drive smarter recoveries, controls, analytics, and working capital. We serve Global 1000 clients on 6 continents, in virtually every country in the world, safeguard $2.6 trillion in disbursements each year, and are fluent in languages covering 98% of global trade. Our apexportal Solutions leverage our massive proprietary database of scored supplier records to recover and prevent overpayments, improve processes, ensure compliant supplier relationships, and optimize working capital. APEX Culture: Our culture drives everything! We live our culture of performance, respect, candor and fun—in that order. Performance is measured by delivering value to our clients, generating goodwill, trust and partnership. Sincere respect for each other, our diverse backgrounds and our well-being are our cornerstones. We value open and honest relationships with each other, our clients and our communities. And, life is too short to not have fun! We look for team players who possess the qualities of being humble, hungry, and smart. We recruit candidates who will strive for accountability in performance and career growth, serving fortune 1000 clients in long-term respectful relationships, and working in a diverse and caring environment." Data Scientist,"New York, NY 10004 (Financial District area)",ACLU,"Title: Data Scientist Office: National Offices Location: New York, NY Apply for this job Job postings are hosted on Greenhouse. See their privacy policy. ABOUT THE JOB The Data & Analytics Department of the ACLU’s National office in New York, NY seeks applications for the full-time position of Data Scientist.ACLU Analytics partners with teams across the organization to enable the ACLU to make smart, evidence-based decisions and bring quantitative insights on our issues to the courtroom and the public. Our team's work ranges from social science research for litigation & advocacy, to analysis & reporting for fundraising and engagement, to building and maintaining our data infrastructure. We strive to ensure the ACLU leads by example in the ethical use of data and technology. This includes maintaining our privacy and security standards, pushing for transparent data practices from government and corporate actors, and helping to steward high standards for algorithmic fairness, accountability, and transparency. We are looking to hire a full-time Data Scientist to apply cutting-edge empirical methods from the social sciences to quantitative research questions that inform the ACLU’s litigation, advocacy, and voter engagement work. This includes partnering with ACLU attorneys and organizers across a wide range of civil liberties issues to shape research questions, conduct analyses (ranging from descriptive analytics to causal inference modeling), and translate the results of statistical models and hypothesis tests for a non-technical audience. In 2020 and 2021, this role will focus heavily on ensuring a fair and non-partisan redistricting process, working in close partnership with our Voting Rights Project. We also expect this role to have an additional focus on support for our voter and constituent engagement work. This role reports to the Director of Legal Analytics & Quantitative Research. RESPONSIBILITIES Analyze Census demographic data, legislative district maps, and election results in support of advocacy and litigation related to voting rights and redistricting Develop quantitative research analyses and literature reviews that support ACLU litigation and ballot initiatives Review, critique, and drive the direction of expert reports and testimony for litigation Maintain current knowledge of cutting edge empirical methods in social science, particularly with regards to voting rights and redistricting Model voter and constituent engagement behavior – actions, volunteering, voting, donations, etc. – and work with teams across the ACLU to improve outreach campaigns Lead the execution and analysis of complex tests and program evaluations Evaluate, acquire, and integrate new datasets Demonstrate a commitment to diversity within the office using a personal approach that values all individuals and respects differences in regards to race, ethnicity, age, gender identity and expression, sexual orientation, religion, disability and socio-economic circumstance Commit to work collaboratively and respectfully toward resolving obstacles and/or conflicts MINIMUM QUALIFICATIONS 2-4 years of experience using statistical methods, causal identification, and hypothesis testing in an applied setting Advanced degree in a quantitative social science field (e.g. Economics, Political Science) or equivalent experience Fluency in Python or R, or similar analytics and programming languages Familiarity with a wide range of social science empirical methods, and ability to quickly learn new empirical techniques Ability to clearly translate technical concepts for a non-technical audience The ideal candidate will have a passion for the ACLU, civil liberties and civil rights, and voting rights in particular PREFERRED QUALIFICATIONS Experience with Geographic Information Systems (GIS), spatial data, and mapping software Experience with simulation modeling Experience working with the voter file and voter mobilization tools & tactics ABOUT THE ACLU For almost 100 years, the ACLU has worked to defend and preserve the individual rights and liberties guaranteed by the Constitution and laws of the United States. Whether it’s ending mass incarceration, achieving full equality for the LGBT community, establishing new privacy protections for our digital age, or preserving the right to vote or the right to have an abortion, the ACLU takes up the toughest civil liberties cases and issues to defend all people from government abuse and overreach. The Department of Education has determined that employment in this position at the ACLU does not qualify for the Public Service Loan Forgiveness Program. We value a diverse workforce and an inclusive culture. The ACLU encourages applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, veteran status and record of arrest or conviction. The ACLU is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and need assistance applying online, please e-mail benefits.hrdept@aclu.org. If you are selected for an interview, you will receive additional information regarding how to request an accommodation for the interview process." DATA SCIENTIST,"Idaho Falls, ID 83401",Idaho National Laboratory,"Job Information Job Title: Data Scientist Grade: 200/210 Org: Advanced Data Analytics Contact: Christina.Morgan@inl.gov Work Location: Idaho Falls, ID (Town)Mission/Vision StatementChanging the World's Energy Future by Breaking Ground on New Technology Mission: Discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure. Vision: INL will change the world's energy future and secure our critical infrastructure. Equal Employment Opportunity Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.Women and People of Color are strongly encouraged to apply.Responsibilities The Department of Data and Software Sciences at Idaho National Laboratory is seeking an eager, early to mid-career data scientist for the emerging Advanced Analytics team. We work closely with our research customers in the Department of Defense and Department of Energy to create leading edge technologies for our country’s most difficult problems for complex energy systems and advanced materials and manufacturing using explainable AI/ML, physics-informed ML, process-informed ML, and hybrid computational architectures (cloud, on-premise, edge-based), and data / sensor fusion methodologies. You will bring a mix of skills including 1) demonstration of applying advanced analytics for R&D applications, preferably in complex energy and defense systems, advanced design and manufacturing; 2) participation in proposal writing for R&D program capture with federal customers, preferably DOD and DOE; 3) a record of publishing in technical, peer-reviewed journals and demonstrated collaboration with universities. The Department is an international leader in the application of scientific methods, techniques and tools to address the performance and operational challenges of mission-critical industries. The Department employs specialized methods and state-of-the-art data analysis and modeling tools to support the INL's mission by ensuring the nation’s safe, competitive, and sustainable use of engineered systems in many domains by applying our capabilities to impactful issues in risk, reliability, and operational performance. You will: Support the Department and INL in research and development activities. Demonstrate effective research skills and the ability to collaborate and partner with other government agencies, academia, and private sector companies to achieve project objectives. Work with a multi-disciplinary team of scientists and engineers on challenging work scope. Communicate effectively both verbally and in writing with management, co-workers, and with customers. Publish results of research and development in a mix of refereed publications and conference proceedings. Work effectively with other research teams to develop and manage cross-cutting technical programs for a variety of customers. The position specifically seeks a data scientist with the following qualifications. Software skills are desirable.QUALIFICATIONS Minimum Qualifications (Required):MS or PhD in Engineering, Mathematics, Computer Science, Physics, Autonomy, Artificial Intelligence or related technical disciplinesMinimum of 3 years demonstrated ability with data science platforms and software (e.g., Tableau, Jupyter Notebook, R, Python, Matlab, SAS, etc.)Demonstrated ability with SQL, noSQL, and graph databasesDemonstrated experience in data science, data analysis, and software developmentExperience with cloud services and cloud-based analytics is a plus (AWS, Azure, Databricks, etc.)Minimum of 2 years of experience contributing to winning proposals and funded projects for research customers at DOD and/or DOEStrong demonstrated communications skills and experience presenting to stakeholders and customersMust be a self-starter, with a focus on continuous learning; and enjoys collaborating to discovery innovative ways to solve challengesMust be able to work in a culturally diverse environment Selective Service Requirements To be eligible for employment at INL males between ages 18 and 25 must register (or must have registered) with the Selective Service System (SSS). This includes U.S. born and naturalized citizens, parolees, undocumented immigrants, legal permanent residents, asylum seekers, refugees, and all males with visas of any kind which expired more than 30 days ago. The few individuals who are exempt from this requirement are those on current non-immigrant visas. For more information see www.sss.gov. Employee Job Functions Employee Job Functions are physical actions and/or working conditions associated with the position. These functions may also constitute essential functions for the job position which the employee must be able to fulfill, with or without accommodation. Information provided below is to help describe the job so that the applicant has a reasonable understanding of the job duties/expectations. An applicant's ability to perform and/or tolerate these actions and conditions will be discussed and workplace accommodations may be made on a case-by-case basis following an individualized assessment of the applicant and other considerations, including but not limited to any governing safety standards. Work Conditions: Stairs. Please Apply Before: March 18, 2020 (Midnight) Environmental, Safety and Health Statement Must be familiar with, and comply with all relevant health and safety requirements. Must be knowledgeable of emergency action policies and procedures, methods for reporting/resolving work practices or conditions to available cognizant professionals. Other Information When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration. INL Overview INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 4,300 scientists, researchers and support staff, the laboratory works with national and international governments, universities and industry partners to discover new science and develop technologies that underpin the nation's nuclear and renewable energy, national security and environmental missions. The Idaho Falls Area Idaho Falls is conveniently situated near many national treasures such as Yellowstone National Park, Teton National Park, Jackson, WY, etc. For more information about the area, please visit www.visitidahofalls.com and www.visitidaho.org. PRIMARY LOCATION: US-ID-Idaho Falls JOB: Computer Information Systems ORGANIZATION: Energy & Environment Science & Technology (Bxxx) SCHEDULE: Full-time EMPLOYEE STATUS: Regular JOB POSTING: Feb 17, 2020, 5:13:46 PM UNPOSTING DATE: Mar 19, 2020, 5:59:00 AM" Data Scientist,"New York, NY",QuaEra,"NY/NJ Description: You will play a key role in the firm’s data science team, serve as a technical expert, provide state of the art analytic implementations and insights, and also mentor future team members. We require at least a Master’s degree in a quantitative discipline such as Statistics, Economics, Mathematics, Computer Science or equivalent. Other proficiencies include the following: Ability to efficiently construct data sets from large scale distributed environments (such as Hadoop) via Hive, Pig and MapReduce. Experience with R, Python, PySpark and data visualization software such as Tableau. Experience with machine and statistical learning areas such as classification, regression, clustering and text analysis is a plus. Experience using the aforementioned tools and technologies would be a plus. Intellectual curiosity, entrepreneurial drive, innovative structured thinking and problem solving skills. Comfortable in a small, intense high-growth environment. Submit Your Resume/CV by sending it to careers@quaerainsights.com." Data Scientist,"New York, NY","Two Sigma Investments, LLC.","Two Sigma is a different kind of investment manager. Since 2001, we have used data science and technology to derive insights that forecast the future and discover value in markets worldwide. Our team of scientists, technologists and academics looks beyond traditional finance to understand the bigger picture and develop creative solutions to some of the world’s most challenging economic problems. Our work spans across markets and industries, from insurance and securities to private investments and new ventures. Two Sigma is looking for Data Scientists from a variety of backgrounds to help propel and enhance its data-driven investment initiatives. As a Two Sigma Data Scientist, you will explore a breadth of challenges: identifying timely and unique data sets, diving deep into a diverse set of data domains, visualizing and exploring underlying data drivers, and developing data set features and forecasts. You will take on the following responsibilities: Apply statistical analysis & modeling techniques with finance intuition to datasets large and small, advance existing initiatives and open opportunities to pursue new and previously unexplored research topics across a wide variety of industries and domains Operate and extend the data science platform to deliver production-grade data curation and analysis services Own end-to-end data workflows and develop deep domain expertise on the underlying actors and behaviors manifested through data Visualize and explore data sets to enable the ideation and generation of new, predictive feature You should possess the following qualifications: 3+ years of experience in data analysis or similar role Advanced degree in Computer Science is preferred Experience applying statistical methods (distribution analysis, classification, clustering, etc.) Strong coding skills with data-frames are a prerequisite, example platforms include Pandas, R, Matlab, and Apache Spark Demonstrated experience highlighting innovation, creativity, and intuition, e.g the ability to laterally identify other sources of useful information and think 'outside the box' Prior Experience in finance is not required You will enjoy the following benefits: Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms Learning: Tuition reimbursement, conference and training sponsorship Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Data Scientist, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of environments (including various databases, Linux servers, and Hadoop). You’ll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment.Expected Qualifications: Bachelor’s degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree strongly preferred 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analytics Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc. Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc. Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) Excellent communication skills Passion for extracting hidden insights and building machine learning systems that enhance business outcomes About GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Data Scientist,"Raleigh, NC 27601",Genworth,"YOUR ROLE Genworth Mortgage Insurance is looking for motivated and talented individuals with a background in data and analytics to work on insurance focused analytics problems. The Data Scientist will report to the Senior Manager of Data Science and provides analytical cross-functional support through effective use of predictive analytics and forecasting methods to improve operational visibility and efficiencies. This is a dynamic and challenging opportunity to apply the latest tools and methods in Big Data and Data Science to a variety of business problems. YOUR RESPONSIBILITIES Research current processes and proactively identify emerging needs for analytic models Develop supervised (regression and classification) and unsupervised (e.g. clustering and segmentation) models and dashboards (Tableau) Evolve and advance a customer behavioral segmentation model, building marketing, sales and product predicative models, analyzing results and movements of segments/clusters and providing business insights to grow the company’s market share and revenue Design, create and implement advanced analytics and forecasting models to optimize business processes. Provide insights for decision making through the use of ML, traditional statistical modeling and BI. Perform monthly reporting of some key metrics as a part of advanced business intelligence support to functional areas (e.g. building Tableau dashboards or providing automated reports and decks) Partner with IT and Enterprise Data Management Organization (EDMO) teams on the evaluation of data assets and their proper use Become a trusted analytical partner to the functional areas of support (Marketing, customer solutions, Underwriting, Loss Mitigation, Pricing) and collaborate on the development and planning of analytic projects in response to business needs Develop and perform preliminary exploratory analysis on datasets associated with building advanced ML models. Ability to work with structured and unstructured data. YOUR QUALIFICATIONS Bachelor’s degree required 4+ years business analytics and business support functions experience 4+ years of experience in one or more of the following statistical / analytic languages such as Python (Pandas, Scikit-Learn), Apache Spark (or PySpark), Hive, and Scala in a cloud computing environment 4+ years of experience in one or more of the following: database query and management tools (SQL, Spark, Preseto/Athena/Hive / HQL etc.) Hands-on experience with advanced analytics like logistic regression, time series, forecasting, optimization, and other predictive modeling techniques. ML experience and knowledge of ML platforms, libraries and programming. Hands-on experience working with advanced BI tools, dashboard experience with visualization and automation tools, Tableau experience preferred AWS Certification or proven experience in a cloud computing environment such as, Databricks, Azure, Cloudera, Hortonworks, Google Cloud, Anaconda etc. Some experience with legacy analytics software such SAS or willingness to learn the basics Ability to translate business needs into technical requirements and articulate analytic solution to get business buy-in Ability to influence decision makers and drive consensus ADDITIONAL QUALIFICATIONS Master’s or PhD in a quantitative research field Experience or background in customer focused fields including marketing, sales, customer research and product management Ability to perform complex day-to-day ETL tasks such as data gathering, data cleaning, wrangling, coding or programming, business and analytics requirements gathering, and data analysis Experience with large analysis datasets and enterprise scale database systems (e.g. Large Hadoop, Redshift, Hive, SQL tables etc.)" "Product Data Scientist, Revenue","Seattle, WA",Snapchat,"Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together. We’re looking for a Data Scientist to join Team Snapchat! Working closely alongside engineering, product management, and business product partners, you will be central to creating inventive, data-based approaches to solve difficult business and product problems. Working from our Seattle, WA office, you’ll work to generate business and product insights and help Snap to ship the best product in the world. Product Data Scientists at Snap deliver impactful, objective, and actionable data insights that enable informed business and product decisions. We drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted. We achieve this through collaborative, cross-functional partnerships with product managers, product marketers, designers, and engineers. What you’ll do: Collaborate with product managers, engineers, product marketers, and designers to apply your expertise in quantitative analysis to create and scale insights Understand patterns in data to identify key product trends and new product opportunities Create and test hypotheses Design and implement core metrics to monitor the performance of our products Create visuals and dashboards to effectively share your insights Communicate your findings to cross-functional stakeholders and help make data-informed product decisions Minimum qualifications: Bachelor’s degree in math, statistics, computer science, economics, or other quantitative field Fluency in SQL or similar big data querying languages 2+ years of experience in quantitative analysis & data science or a related fieldPreferred qualifications: Advanced degree in math, statistics, computer science, economics, or other quantitative field Experience with analytic tools, such as R or Python Strong statistical knowledge Experience with causal inference techniques, experimental design, and/or A/B testing Experience in a product-focused role at a social media and/or mobile technology company Experience with mobile advertising products or mobile advertising business A team player who can collaborate with engineers, product managers, and other cross-functional teams An understanding of Snapchat with great product sense and product understanding Excellent interpersonal skills, including verbal and written communication High attention to detail Ability to initiate and drive projects to completion with minimal guidance Ability to communicate the results of analyses in a clear and effective manner to a senior audience" "Data Engineer, Machine Learning","San Francisco, CA 94107 (South of Market area)",Adobe,"Machine Learning is a critical part of Adobe’s Cloud offering. Adobe Clouds enable customers to create and manage digital content, such as assets, composites, 3D, documents etc., and digital experience and transformations. Creative Cloud is focused on visual creativity and creation, and includes such well-known products as Photoshop CC, Illustrator CC, Lightroom CC, and Adobe Stock. Document Cloud is centered around the creation and management of textual documents, including Acrobat DC and Adobe Sign. Experience Cloud is the set of offerings for the large-scale enterprise, covering marketing, advertising, and analytics. We are building a machine learning platform, called Adobe Sensei, that powers machine learning and AI across all of these Adobe Cloud product lines. This platform will enable thousands of applied researchers, millions of users, and billions of content pieces. The objective is to make machine learning offerings a world-class, leading-edge, differentiating product in Adobe Cloud ecosystem. We match the pace, innovation and excitement of a startup, backed by the resources and infrastructure of Adobe! We’re looking for machine learning engineers to develop the Sensei platform, transfer the newest technology from Adobe Research to realization in products, innovate in discovering new ML use cases and product features, and encourage best practices in machine learning application across Adobe. In this role you will write code to harvest data from a wide variety of Adobe applications and data sources to construct training sets for ML models across Adobe's flagship creative applications such as Photoshop, Illustrator, Lightroom, and Premiere Pro. The corresponding ML capabilities will translate into novel and surprising product features in our applications. The training sets will be made by fusing disparate data from machine-learned analysis of images and videos, provenance and history of these assets, and fine-grained user behavior analysis. In this job you will become expert in all the various creative and behavioral datasets across Adobe, where the data lives, what the data means, and how to find it, extract it, and combine it using production-quality code and rigorous data standards. Responsibilities: Develop ML platform code to query Adobe content and data repositories Work with ML scientists to design schemas for training sets that fuse data from multiple such repositories Craft production-quality code to craft, manage, and update these ML training sets Participate in the experimental development of novel ML models using the data you have built Qualifications: MS in Computer Science (or related field – Physics, Math, Statistics, Bioinformatics), PhD nice to have, or equivalent experience 3+ years of applicable experience in industry Pragmatic orientation to building solutions that work in the field self-starter attitude toward data wrangling Experience with Spark, Hadoop, SQL and NoSQL databases. Hands on experience with Java, Python, and/or C++. Nice-to-haves: exposure to ML, computer vision, training set construction At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unusual Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status. At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists . You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age , sexual orientation, gender identity, disability or veteran status." Data Scientist,"New York, NY",GridEdge,"Job Description We are searching for a Data Scientist who will help develop market prediction models. The role involves analyzing both structured and unstructured data and use advance analytical methods to create predictive models. Essential Functions Frame and conduct intricate analyses and experiments using extremely large, complex (not always well-structured, highly variable) data sets Leverage analysis in the support of Business partners to design, develop, and launch innovative new products Source, scrub, and join varied data sets from public, commercial, and proprietary sourcesDesign and implement scripts, programs, databases, and other software components Draw conclusions and effectively communicate findings with both technical and non-technical team members Review relevant academic and industry research to identify useful algorithms, techniques, libraries, etc.Provide technical thought leadership and manage teams of data engineers. Required Education Bachelor’s Degree in Math, Statistics, Computer Science, or other quantitative disciplineRequired Experience 5+ years of experience in R, Perl, Python, Java, or other languages appropriate for large scale analysis of numerical and textual data 5+ years of experience with data mining, machine learning, statistical modeling tools and underlying algorithms 3+ years of experience with relational databases and SQL 3+ years of experience working with extremely large data sets. Preferred Qualifications Experience with Hadoop or similar distributed computing and storage platforms Ability to work independently in a fast paced, unstructured environment Graduate degree in Math, Statistics, Computer Science, or other quantitative discipline Extremely strong analytical and problem-solving skills Please email your resume to careers@gridedge.com" "Data Engineer, Machine Learning","San Jose, CA",Cadence Design Systems,"At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.If you are an engineer who enjoys an exciting, fast-moving environment and daily technical challenges as much as we do, the newly founded Cadence Data Platform team will be a great fit for you. We are looking for a Data Engineer who will be a key contributor in building a scalable and resilient data analytics platform.Key Qualifications · Experience working with big data, such as Hadoop ecosystem, Spark, Kafka, etc. · In-depth understanding of data structures, algorithms, and distributed systems · Development experience in Java, Scala, or Python · Solid understanding of database fundamentals, with proficiency in SQL · Experience building and optimizing ETL data pipelines · Enthusiastic, highly motivated, and able to work collaboratively · Broad understanding of various technologies and frameworks with ability to combine into practical solutions · Familiarity with provisioning, installing, configuring, and maintaining data platform solutionsEducation & Experience · BS degree in Computer Science or related field, 4+ years of industry experience · MS degree in Computer Science or related field, 2+ years of industry experience We’re doing work that matters. Help us solve what others can’t." Data Scientist II,"O'Fallon, MO",MasterCard,"The Brighterion Data Science team is responsible for creating deep learning Artificial Intelligence (A.I.) and Machine Learning (M.L.) models using the Brighterion Software suite: iModel, iLearn, iMonitor. The models generated are production ready and created for a broad range of verticals (financial, healthcare, IoT, etc.). The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes are designed to scale, to be repeatable, resilient and industrialized. You will be joining a team of Data Scientists working on innovative A.I. and M.L. models and engaging in fast execution projects, from 8 to 14 weeks. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech, investment banking, biotech, healthcare, and insurance. We are pursuing a highly motivated individual with strong problem solving skills to take on the challenge of structuring and engineering data and cutting-edge A.I. model development processes and technologies. Role As a data analyst you will: Maintain and organize tools for data transfer, mining, cleaning/processing, and validation Provide structured, quality data for downstream enrichment and modeling, and recommend ways to improve data quality and efficiency Develop, test, and improve data processes and architectures Work with multiple disparate sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling All About You Essential Skills: Data engineering experience Experience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Netezza. Good knowledge of Linux / Bash environment Experience in Python Good communication skills Highly skilled problem solver At least an undergraduate in Data Engineering, CS, or STEM related field. Masters preferred Nice to have: Experience in multiple scripting languages and storage systems Programming Language: Java Understanding of the importance of data organization and security Detail oriented, efficient, strong work-ethic Loves working with error-prone, messy, disparate, unstructured data Can lead design efforts for improving data storage and processing, and possibly future efforts to transition to cloud storage Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. If you require accommodations or assistance to complete the online application process, please contact reasonable.accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly." "Data Scientist, Legal Policy & Economics","San Francisco, CA 94103 (South Of Market area)",Uber,"At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together. About the role Data scientists in this role sit at the intersection of data science, economics, and the law. They partner with the Legal team globally and use their understanding of Uber data and the Uber platform to answer legal questions and inform legal arguments with data. As part of this work, they analyze large datasets, create data pipelines, and build statistical models. What you’ll do Build a deep, nuanced understanding of Uber’s large and unique data as well as its platform and communicate this understanding to lawyers, regulators, and other stakeholders Propose, design, and execute data analyses, data pipelines, and statistical models to inform, enrich, and advance the work of our Legal Team and other teams across the company Work in an inclusive and diverse team of data scientists who will support your development as a data scientist and who, in turn, you will influence and shape What you’ll need Minimum 1 year of experience (including graduate work) in data science or a similar quantitative field; experience and/or interest in legal and economic issues is a plus but not required Experience using and picking up new data science tools to query (e.g., SQL, Hive), analyze (e.g., Python, R), and model (e.g., scikit-learn, statsmodels) data at scale Ability to collaborate and communicate well: building and managing relationships with clients, communicating with non-technical audiences, and collaborating with cross-functional partners Ability to own and drive projects independently: balancing excellence and attention to detail with the need to prioritize work and deliver within sometimes tight deadlines What you’ll get Be part of the technology company whose platform is used globally by over 4 million people to earn money and over 100 million people to move around their cities Join a supportive, inclusive company and team that will be invested in you and your professional growth and success as a data scientist Get exposure to a unique set of clients and projects: Your work will influence legal work carried out across the company and around the world About the team Legal Data Science works with the Legal Team on Uber’s most important legal issues. We partner with the Legal team to develop analyses and arguments—based on data science, economics, and the law—that help set business strategy and inform legal positions." Data Scientist,"Santa Fe, NM",Beyond Finance,"About Beyond Finance Beyond Finance is an exciting next generation Financial Services company with offices in Beverly MA and Houston TX. We provide financial products that are simple and transparent that aim to improve people's lives. As the consumer debt market continues to grow in the United States; we made it our objective to create a transparent and fair debt management services that are customized to the consumers' individual circumstances. Our Leadership team is comprised of individuals who have extensive experience and expertise in the financial services and debt management spheres. We are reinventing the market by investing in innovative technologies to better identify and target the market segment. At the same time, extensive market research also enables us to customize our products to better service our clients. Our workforce is a community made up of celebrated, diverse backgrounds working towards the common objective of developing something transformational for the debt settlement industry. As part of this effort, the company is creating a small team based in Santa Fe, NM focused on developing advanced analytics to improve our offering to consumers and streamline internal operations. About The Role Our ability to use data to define our strategy and direction will separate us from our competition. Through data mining, statistical analysis and experimental design, the Data Scientist is key in establishing the analytical data landscape and strategies that will drive BF's direction. Roles and Responsibilities:Work with various stakeholders such as senior management, data engineers, and marketing team on the formulation and application of new modeling solutions for a variety of business problems Manipulate large data sets, integrate diverse data sources, data types and data structures into solutions Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development Work with cross-functional teams to develop ideas and execute business plans Develop solution prototypes and help integrate them with the product Work closely with software development teams to communicate requirements and ensure quality of end-to-end deliverables of developed analytical solutions Contribute to the team knowledge by keeping up with the state-of-the-art in machine learning applied to our domain Basic Qualifications and Education Requirements Strong quantitative analytical experience, including hands-on and background in using statistics, regression modeling, neural networks, decision trees, random forests, support vector machine, kernel-based methods, clustering and similar methods Proficient in programming with Python (at least 2 years' experience). Exposure to Advanced Analytics and Data Mining Strong SQL skills in Big Data environment a plus" Data Scientist,"San Francisco, CA",WanderJaunt,"Who We Are WanderJaunt is building the future of hospitality by bringing the consistency, reliability and service of traditional hotels into the short term rental industry. We provide seamless hospitality experiences for our guests and end-to-end property management services for our partners. Our goal — to create a world where everyone feels at home. Our diverse set of teams enables us to support operations for single-family homes, converted shipping containers, multifamily properties, and everything in between. Our Design and Procurement teams express our brand promise and sense of style in each market and unit, and our thoughtful, supportive Customer Care team ensures that every guest is noticed and heard. Behind the scenes, we leverage our Engineering, Product, and Data Science talent to scale our ability to deliver great experiences over and over again. Our Values You pull together - You have excellent communication skills and you love working cross-functionally to solve problems that cut across people, software, process and real-world logistics. You believe there's no such thing as ""someone else's problem"" and want to collaborate and problem solve anywhere you can. You cut the fluff - You love getting honest feedback, and you're unafraid to voice your opinions even if they might be unpopular. You believe honesty is the best way to an open heart, better performance, and stronger relationships. You go full throttle - You're all about impact and ownership. You act with urgency because you're confident in your convictions, and you're comfortable being uncomfortable. You dive deep - Even if you're not exactly sure about something or how to do something, you figure it out! You'll find the root of the issue first and work our way up because understanding the fundamentals is just the beginning of improvement. Building Inclusive Environments We strive to create a world where everyone feels at home, whether they're on the road, at work, or in their local community. We value the input and experiences of people from all walks and stages of life and incorporate this ethos in all we do. By drawing on unique perspectives we can build environments that are safe, comforting, and empowering — starting with our own home. Role and Responsibilities:Enhance our dynamic pricing model to determining the optimal pricing strategies that will help us achieve our business goals Build ML models to predict future revenue and evaluate the investment potential on a wide range of real estate properties Build image classification model using deep learning techniques to predict the desirability of a property Extract insights from text data, such as topics modeling and sentiment analysis of our customer feedbacks Wrangling data from numerous sources to find real estate and short term rental market insights Work on end-to-end projects to ensure your findings are executed and tested in the desired way Conceptualize, create, and maintain dashboards to reveal operational efficiency and decisioning quality Minimum Qualifications:Minimum 2+ years of full time, professional data science & engineering experience Four year degree in statistics or equivalent quantitative degree Preferred Qualifications:Ability to productionize and operate ML models and pipelines, including both batch and real-time use cases Solid understanding of engineering best practices and complexities of models in production Ability to take a high-level question, develop the approach, conduct the analysis, and ultimately deliver an actionable recommendation Experience working with messy datasets Good understanding of common families of models, feature engineering, feature selection and other practical machine learning issues Entrepreneurial self-starter that can find creative solutions to tough problems" Data Scientist,"Boulder, CO",The Trade Desk,"The Trade Desk is a global technology company with a mission to create a better Internet for everyone through principled, intelligent advertising. We help the world's biggest brands reach consumers, and our platform funds content providers and publishers who keep the global Internet free and open for everyone. Handling over 600 billion queries per day (more than 100X the query volume of search globally), our platform operates at unprecedented scale and generates massive amounts of data. We have also built something even stronger and more valuable: an award-winning culture based on trust, empathy, collaboration, and ownership. By working together across typical dividing lines, we are better as a team than any of us could be apart. Do you have a passion for solving hard problems at scale? Are you eager to join a trust- based, globally-connected team, where your contributions will make a meaningful difference? Come and see why Fortune Magazine recently named The Trade Desk among the best small to medium-sized workplaces ( https://www.thetradedesk.com/press-releases/the-trade-desk-ranks-2-on-fortunes-2018-best-medium-workplace-list ) in the US. --------------- ABOUT THE ROLE: --------------- Our Data Scientists are end-to-end owners. You will participate actively in most aspects of designing, researching, building, and delivering data-focused products for our clients. Our Data Science team is embedded into nearly a dozen individual, mission-focused engineering teams working across a wide spectrum of technological and scientific challenges. You will have the opportunity, depending on your interests and background, to work on problems related to natural language processing and machine learning over hundreds of millions of web pages, graph mining and algorithmic optimization on petabytes of data, and causal inference with missing data - to name a few. Data Scientists contribute to more than our product – they build up our team. We are a team built on a foundation of generosity and openness, and we expect our data scientists to help make others better and raise the bar for those around them. ----------------------------- WHO WE ARE LOOKING FOR: ----------------------------- You have a sustained track record of making significant, self-directed, and end-to-end contributions to large and impactful machine learning projects. You think beyond just the task at hand to deeply understand the 'why' behind what you are doing. You have a strong sense of data intuition. At our scale, many off-the-shelf modeling techniques (open source and enterprise) simply don't work. You are able to work from first principles and intuition to develop solutions and adapt them to a unique environment. You are a broadly skilled data scientist who may have experience working with embedded models in always-on production systems and may have worked across a variety of technologies and data sources. You have a product-focused mindset. You have the passion and ability to contribute to the process of discovering what will delight our clients and push forward one of the world's largest and most influential industries toward a vision of openness, transparency, and evidence-based decision-making. You work with confidence and without ego. Our data scientists have deep knowledge and exercise a high degree of leadership in their daily work. You have strongly-held, defensible ideas, and advocate for what you believe is right. You are also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to walk through fire to support your fellow teammates. You value, seek out, and foster diversity. We are a global team from many diverse backgrounds, with different experiences and perspectives. To complement this team, you will welcome ideas that are different from your own and be skilled at finding and building from common ground. You are a creative thinker, not bound by ""the way things have always been done."" What you know is less important than how well you learn and innovate. We don't need data scientists who know all the answers; we need data scientists who can invent the answers no one has thought of yet, to the questions yet to be asked. ----------------------- WHO WE ARE LOOKING FOR: ----------------------- You have a sustained track record of making significant, self-directed, and end-to-end contributions to large and impactful machine learning projects. You think beyond just the task at hand to deeply understand the 'why' behind what you are doing. You have a strong sense of data intuition. At our scale, many off-the-shelf modeling techniques (open source and enterprise) simply don't work. You are able to work from first principles and intuition to develop solutions and adapt them to a unique environment. You are a broadly skilled data scientist who may have experience working with embedded models in always-on production systems and may have worked across a variety of technologies and data sources. You have a product-focused mindset. You have the passion and ability to contribute to the process of discovering what will delight our clients and push forward one of the world's largest and most influential industries toward a vision of openness, transparency, and evidence-based decision-making. You work with confidence and without ego. Our data scientists have deep knowledge and exercise a high degree of leadership in their daily work. You have strongly-held, defensible ideas, and advocate for what you believe is right. You are also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to walk through fire to support your fellow teammates. You value, seek out, and foster diversity. We are a global team from many diverse backgrounds, with different experiences and perspectives. To complement this team, you will welcome ideas that are different from your own and be skilled at finding and building from common ground. You are a creative thinker, not bound by ""the way things have always been done."" What you know is less important than how well you learn and innovate. We don't need data scientists who know all the answers; we need data scientists who can invent the answers no one has thought of yet, to the questions yet to be asked. ---------------------------- WHAT YOU BRING TO THE TABLE: ---------------------------- You have an abundance of intellectual curiosity and are enthusiastic to learn (and teach) new technologies / techniques. You are you comfortable working on an agile, distributed team spanning multiple time zones and continents. You are able to communicate effectively across both technical and non-technical audiences. You have up to 10 years of experience working in a data-driven role. Some of those years of experience may have been spent pursuing an advanced degree in a quantitative field, but it's not a requirement. What and how you can contribute is what's most important to us which is why our consideration is not limited by the level of education you have. You have some experience with big data technologies such as Spark and AWS, are able to write efficient SQL, and are proficient in one or more of the following programming languages: R, Python, Java, or Scala. Variety of technical challenge is one of the best things about working at The Trade Desk as a data scientist though which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and solve complex problems using the best tools for the job. The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law." "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Data Scientist, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of environments (including various databases, Linux servers, and Hadoop). You’ll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment.Expected Qualifications: Bachelor’s degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree strongly preferred 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analytics Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc. Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc. Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) Excellent communication skills Passion for extracting hidden insights and building machine learning systems that enhance business outcomes About GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Senior Data Scientist,Remote,ACTNext,"Posted on: December 13, 2019 Location US-Remote | US-IA-Iowa City | US-CO-Lakewood Job Description Are you passionate about using data science methods and educational data mining techniques to address critical issues in education, especially those facilitated through educational technology? If this sounds intriguing, then we’d like to talk to you about a role within the data science group in ACTnext, the innovation organization within ACT. Job Responsibilities The Senior Data Scientist has primary responsibility for conducting data science projects with applications in educational data mining and learning analytics. Typical work-related activities include: Deliver data science projects from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Provide technical documentation of data science projects including minimally presentations, technical reports, and code documentation. Collaborate cross-functionally with product managers, assessment designers, psychometricians, research scientists, engineers and analysts. Provide data science industry leadership and scholarly contributions through research, publications, presentations and partnerships. Contribute to a culture of high achievement, industry leadership, innovation, and accountability. Candidate Requirements Education: Masters’ degree in data science, computational linguistics, data mining, machine learning, statistics, computer science, operations research, engineering, mathematics or related field required PhD degree preferred Or an equivalent combination of education and experience from which comparable knowledge and abilities can be acquired Experience: 5 years of demonstrated success conducting predictive modeling, data science, and analysis projects required Experience using Python and R required Knowledge of and experience writing SQL queries Work experience should include a solid combination of any of the following: Domain experience in ed tech, education, publishing or assessment industries Experience with clickstream and/or streaming data for behavioral analysis Experience conducting automated feature extraction from large dimensional data sets Experience building and evaluating machine learning and deep learning models Research expertise and scholarly contributions in data science Experience using tools for natural language processing Experience using Zepplin or Jupyter notebooks Experience working with big data tools such as Hadoop, Spark, Map/Reduce, and NoSQL databases Experience handling datasets exceeding 250GB Knowledge, Skills and Abilities: Excellent oral and written communication skills Innovative thinker and thought leader Exceptional collaborator and team member Strong analytical skills and decision making abilities Demonstrated willingness to both teach others and learn new techniques Agile mindset Ability to be successful in a fast paced environment, prioritizing and managing multiple complex projects" Data Scientist,"Washington, DC 20001 (Shaw area)",Meridian Knowledge Solutions,"Meridian Knowledge Solutions, LLC, is the leading provider of enterprise, web-based learning management software. Meridian’s powerful yet easy-to-use solutions are leveraged by organizations dedicated to building world-class learning enterprises inspired and focused on delivering exceptional results. Meridian’s software is being used by some of the world’s largest, most successful organizations, including Fortune 500 companies and government agencies. The company is headquartered in Reston, VA. For additional information about Meridian Knowledge Solutions, visit www.meridianks.com. Meridian is seeking a Data Scientist to work onsite in Washington DC. The Data Scientist will work with the International Finance Corporations IT Group to implement the new Machine Learning platform. Responsibilities: On-site expert level Data Scientist, with expert level Machine Learning experience on cloud, preferably experience with Cloud. Build Data Science Platform to enable Machine Learning Implementation of the Machine Learning Project for IFC s Environmental, Social and Governance (ESG) function. Implementation will occur with defined agile teams following a Scrum approach, with time-boxed sprints of 2 weeks each, during which design, build/configuration, and testing will occur. Ceremonies of Sprint Planning, Daily Scrum, Sprint Review, Sprint Retrospective, and Backlog refinements will be facilitated by a Scrum Master All resources will report to the Client Project Manager and Meridian Program Manager Requirements: Federal government TS/SCI with active Poly and/or willingness to get full scope poly Prior experience of working with large scale enterprise project. Strong analytical and problem-solving skillset Strong interpersonal skills Demonstrate ability to work effectively across IT functions and business lines Excellent verbal and written communication skills and a proven ability to interact professionally with a diverse group High level of initiative with a proven ability to work independently Acquaintance in full DevOps and CI/CD concepts. Prior experience in working with Agile projects, ability to adapt to the change and work in fast moving project. Familiarity with relational databases, and performing complex queries Proficiency in systems and data analysis and modeling in Computer Science, Engineering or Management Information Systems or other related fields This job operates in an office setting which incurs moderate noise consistent with a business office. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. This is a largely sedentary role; however, some physical attributes are required, for instance, manual dexterity/typing, read, count and write to accurately complete all documentation, the ability to lift up to 25 lbs. as well as, ability to climb or balance, stoop, kneel, crouch or crawl. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required for this job. Duties, responsibilities and activities may change at any time with or without notice." Data/NLP Scientist,"Bellevue, WA 98004 (Downtown area)",AnswerIQ,"AnswerIQ is looking for Data Scientists to join our data science team. Our data science team dedicate to apply Natural Language Processing and Machine Learning in the enterprise customer support space, as well as provide data analytic service to our customers. We develop sophisticated algorithms and applications to automate the customer service including responding the ticket, classifying ticket issues, engaging conversations with customers. You will build, evaluate and improve customized ML models for our customers; work with customers to analyze customer dataset and translate data-driven insights into decisions and actions; run ML experiments and develop algorithms to improve AnswerIQ ML/NLP engine.Qualifications (Required) Master or higher degree in computer science, statistics or mathematics with focus on machine learning and natural language processing; data science experience in industry is preferred Strong knowledge in machine learning and statistics (classification, regression, recommendation, clustering, boosting, graphical models, etc.) Familiar with machine learning and analytics libraries (Scikit-learn, MLlib, etc.) Experience with deep learning frameworks (Tensorflow, CNTK, Mxnet, Keras, etc.) Experience with data manipulation and analysis tools (Pandas, Pig, Hive, Spark, etc.) Experience in applying and implementing NLP algorithms, especially in the following areas: information extraction, topic modelling, semantics analysis, question answering Strong programming skills in Python, SQL, R and at least one object oriented programming language (Java, Scala, C++, etc.) Knowledge of visualization tools (D3.js, Tableau, etc.) Great communication skills, curiosity about data, and passion about the business" Data Scientist II,"Richardson, TX 75080",Lennox International,"Company Overview:Lennox International (LII) is a leading global provider of innovative climate control solutions for heating, ventilation, air conditioning, and refrigeration (HVACR) markets. Beginning over a century ago, Lennox International has built a strong heritage of Innovation and Responsibility. Our position as an innovation leader continually inspires us to promote more efficient energy use and a healthier environment through our product operations. Our engaged and diverse workforce is committed to providing climate control solutions that provide the most value and comfort for our customers. We are proud to have instilled a shared sense of responsibility and commitment among our approximately 10,000 employees located throughout North America, South America, Europe, Asia, and Australia.Job Description: General duties of this position will entail the following: Organizes, analyzes and extracts meaningful information from large amounts of data to build a learning machine which helps in streamlining business processes. Assists on machine learning projects that use and promote data-exploration techniques to discover new or previously unasked questions. Builds custom data-fueled models and algorithms, uses machine learning tools and statistical techniques to improve decision making capabilities, produce solutions to problems and improve ROI. Builds custom data models and algorithms to complex data sets Works on a broad range of Data Science problems across varied business groups. Develops expertise in various businesses and help translate that into increasingly high value added advisory solutions to stakeholders. Works with others to develop, refine and scale data management and analytics procedures, systems, workflows, best practices and other issues to contribute to the company’s machine learning practice. Qualifications:Requires a bachelor's degree in a related field (Business, Computer Science, Information Science, Analytics) or an equivalent combination of education and experience. Requires at least 1 year related experience. Excellent problem solving skills, ability to apply quantitative and qualitative methods. Good Knowledge of statistical computer languages (R, Python, SQL, PySpark, etc.) to manipulate data and interpret insights from large data sets. Understanding of machine learning techniques (clustering, decision trees, Random Forest, Logistic regression, Linear regression, Gradient boosted trees, naïve bayes classifier). Understanding of big data architecture and how distributed computing works. Understanding of basic database concepts, ability to handle large complex data sets. Ability to communicate results and gain consensus with non-technical audience. Experience with SparkMlib combined with strong programming background. Basic knowledge about analyzing unstructured information. Strong knowledge about Visual analytics, preferable experience with Qlik, Tableau or PowerBI." Data Scientist,"New York, NY",The New York Times,"The New York Times is a technology company committed to producing the world’s most reliable and highest quality journalism. Our ability to do so relies on an accomplished team of expert technologists who help us learn from a tremendous abundance of data unique to this company. We are looking for a Data Scientist to join the Data Science Group applying machine learning methods to meet this challenge, in close collaboration with working partners across the company. Responsibilities: Reframe newsroom and business goals as machine learning tasks that can provide relevant insights, accurate predictions and optimization. Implement machine learning research with reliability and reproducibility. Communicate results and impact to our newsroom and partners. Turn models into data products, collaborate with our engineering teams, and integrate into process throughout The Times. Qualifications: Technical: PhD , MS, or 3+ years experience in computer science, applied mathematics, or /computational discipline. You have 2+ years experience with open source machine learning or statistical analysis tools. Familiarity with experimental design a plus. You have 2+ years coding experience , Python preferred. You also have data engineering experience, including SQL and manipulating large structured or unstructured datasets for analysis. Preferred: experience with building data products, either internal or consumer-facing. Preferred: Experience working with unstructured data and Natural Language Processing Non-Technical: Commitment to the The Times’ mission of delivering the world’s best journalism. Passion for empirical research and for answering hard questions with data. Record of solving challenging problems in academia or industry. Eagerness to collaborate with both technical and non-technical colleagues in editorial, product management, marketing, and executive leadership groups. Experience gauging the complexity of machine learning problems and willingness to implement simple approaches for quick solutions. Desire to join the world’s most important journalism company at a moment in history when the importance of learning from our data is transforming every aspect of the craft and practice of journalism. Please provide GitHub or portfolio site if available. #LI-IG1 The New York Times is committed to a diverse and inclusive workforce, one that reflects the varied global community we serve. Our journalism and the products we build in the service of that journalism greatly benefit from a range of perspectives, which can only come from diversity of all types, across our ranks, at all levels of the organization. Achieving true diversity and inclusion is the right thing to do. It is also the smart thing for our business. So we strongly encourage women, veterans, people with disabilities, people of color and gender nonconforming candidates to apply. The New York Times Company is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The New York Times Company will consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local ""Fair Chance"" laws." "Data Science Analyst, Computational Biology - Genetics Research","New York, NY",Mount Sinai,"Strength Through Diversity Ground breaking science. Advancing medicine. Healing made personal. Roles & Responsibilities: Requirements: [BASED ON JOB DESCRIPTION, THE NECESSARY JOB REQUIREMENTS/PREFERENCES—DEGREES, LICENSES, CERTIFICATIONS, ETC.] Strength Through Diversity The Mount Sinai Health System believes that diversity and inclusion is a driver for excellence. We share a common devotion to delivering exceptional patient care. Yet we’re as diverse as the city we call home- culturally, ethically, in outlook and lifestyle. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education and advancement as we revolutionize healthcare delivery together. We work hard to recruit and retain the best people, and to create a welcoming, nurturing work environment where you have the opportunity and support to develop professionally. We share the belief that all employees, regardless of job title or expertise, have an impact on quality patient care. Explore more about this opportunity and how you can help us write a new chapter in our story! Who We Are Over 38,000 employees strong, the mission of the Mount Sinai Health System is to provide compassionate patient care with seamless coordination and to advance medicine through unrivaled education, research, and outreach in the many diverse communities we serve. Formed in September 2013, The Mount Sinai Health System combines the excellence of the Icahn School of Medicine at Mount Sinai with seven premier hospitals, including Mount Sinai Beth Israel, Mount Sinai Brooklyn, The Mount Sinai Hospital, Mount Sinai Queens, Mount Sinai West (formerly Mount Sinai Roosevelt), Mount Sinai St. Luke’s, and New York Eye and Ear Infirmary of Mount Sinai. The Mount Sinai Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and does not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression. EOE Minorities/Women/Disabled/Veterans" Data Scientist,"Chicago, IL 60603 (The Loop area)",NCC Group,"Our mission is to make the world safer and more secure. And our core strength is the expertise of our people. We are committed to developing the future generation of cyber scientists, analysts and professionals. And we are always keen to hear from talented and experienced people who wish to join us in our vision to be the leading cyber security advisor. About You You are a person who enjoys designing and implementing machine learning architectures as much as you do doing the science. You would enjoy the opportunity to build out your vision for a data science and machine learning capability in a highly technical company. You relish the challenge of unlocking the latent value in data to enable teams and organisations to succeed. You are fascinated by cyber security (even if you are not yourself a practitioner). You want to teach machines. You have a strong foundation in statistics and probability, can code in either Python or R, and have used at least one open-source machine-learning library or API to perform analytics. You have confidently built research-grade software and are comfortable prototyping ideas in your programming language of choice, although we’d certainly be keen to meet anyone who has pushed machine learning code into a production environment. You are familiar with large-scale data processing-relevant aspects of Microsoft Azure, Amazon AWS and/or Google GCP, along with modern computing architectures. At minimum, you have practical understanding and experience of linear models, decision trees and neural networks, possibly through industry or academia. You have used (or are interested in learning) tools/frameworks such as scikit-learn, Tensorflow, Keras, etc. You may also have theoretical or practical understanding of any of natural language processing, graph theory, algorithm design, or a specific research area in data science or machine learning. About the Team The team is new to NCC Group sitting within the Group CTO Office, and works closely with our Research Directors. To say it is small and perfectly formed is an understatement. You will be part of a two-person team dedicated to data science and machine learning, with one person in Europe and the other in North America. This team will work on highly impactful deliverables that will be visible across both the organization as a whole. While we ask applied, real-world questions, there will be opportunities to also publish and present your work. While this role allows for a high degree of creativity with the opportunity to strongly influence our analytics roadmap, you will be among many inspiring, collaborative, and passionate colleagues within NCC Group. With respect to applied analytics, there is already a wider community of data science professionals who would be peers at NCC Group, primarily supporting our Managed Detection & Response business located in the Netherlands. About the Role You will work as part of a team across NCC Group to: Identify and understand our available data. Design and implement our group approach to machine learning, applied analytics, and data science Work with other departments to ensure governance, compliance and security of our data science activities. Perform data science tasks to supply insights across teams within NCC Group. Ultimately, help define and deliver our future machine learning strategy. Other: Some travel to other offices may be required" Sr Data Scientist,"San Francisco, CA",LendingClub,"Current Employees of LendingClub: Please apply via your internal Workday Account LendingClub (NYSE: LC) was founded in 2007 under the belief that a technology and data-driven marketplace can improve the way people access and invest in credit, creating value for both sides. Since then, we've helped millions of Americans take control of their debt, pursue their dreams, and invest in their future – all in a fair, transparent, and affordable way. Today we’re America’s largest online credit marketplace, facilitating billions of dollars in loans annually, and we’re leading the governance of a new industry by developing ethical, responsible ways to bring greater value and better opportunities to our members. Everyone deserves a better financial future and our team is committed to making that a reality. About the Role LendingClub is looking for a sharp, highly quantitative, innovative and results-oriented Sr Developer, Data Science to manage and process our abundant data, seek out actionable insights, perfect processes and drive strategic decisions. Because our culture is data-driven and every decision we make is backed by data, we require exceptional individuals with the passion and skills to properly process and leverage our huge stores of information using the latest technologies in the areas of big data and data science. In this context, you will have access to the industry's best tools and additional resources you might need. You will have substantial influence on LendingClub’s business and strategy and a seat at the decision-making table. If you think you have what it takes to make an impact, we’d love to hear from you! What You'll Do Discover and build new rich datasets and features that can be leveraged by our growing community of Data Analysts/Scientists Apply the latest data technologies to improve data availability and efficiency of processes Analyze massive scale structured and unstructured datasets to find opportunities, improve processes and products and influence decisions Build insightful quantitative materials, identify trends and deliver key findings Use Experimental Design & Analysis to monitor and track the efficacy of new processes Partner with other teams to understand their processes About You You hold an advanced degree in a quantitative field (Computer Science, Engineering, Data Science, etc.) or equivalent work experience You have excellent programming and analytical skills and an expert at using tools such as SQL, Python, Scala Development of high performance SQL/Hive queries and data transformation jobs You have 5+ years of experience working with and analyzing very large datasets You have a passion for understanding and trying the latest data technologies You can adapt and iterate quickly as you are working through a problem You have strong communication skills and the ability to simplify complex information Experienced with BigData challenges and NoSQL technologies (like HBase, Hadoop, Hive, Oozie, MongoDB) You love working with diverse teams and personalities and people love working with you!LendingClub is an equal opportunity employer and dedicated to diversity and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender identity, sexual orientation, age, marital status, pregnancy status, veteran status, or disability status. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system." Principal Data Scientist,"San Francisco, CA 94111 (Financial District area)",Catalyst,"Would you like to work with almost unlimited unstructured data solving difficult problems that make a big difference?We work with companies offering significant opportunities for professional advancement and personal growth, including management opportunities for high potential Data Science professionals, and environments where you can make a make a lasting difference by solving complex problems.Our marque client is seeking a talented data science lead who will be responsible for researching and identifying Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites. In this key role, you will implement these methods and devise appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of extensive sets of content and data. Further, you will explore existing data for insights and recommend additional sources of data for improvementsTechnical /Professional Skills & Competencies: Excellent understanding of ML, NLP, and statistical methodologies Excellent programming skills (Java/Python/R/Sas) Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation. Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies a plusEducation and Background: Bachelor's degree in Computer Science, Statistics,Technology, or Engineering, strongly preferredPlease note that this is a full-time role, offering excellent compensation, benefits, flexibility, great work-life balance for a global leader in their field.Job Type: Full-timeSalary: $200,000.00 to $300,000.00 /yearEducation:Bachelor's (Required)Additional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planSigning bonusPaid time offFlexible scheduleParental leaveProfessional development assistanceTuition reimbursementRelocation assistance" Data Scientist,"Monterey, CA",SAIC,"Job Description Description This Data Science position requires deep knowledge and experience in dynamic resource management problems and concomitant algorithms or neural networks to solve Navy-relevant NP-hard problems, uncertainty analysis, and the development and testing of software for METOC-informed decision guidance with the possibility for closed-loop control for certain Navy systems (e.g., unmanned , helicopters); in particular, focusing on dynamic task and resource management and machine learning techniques to facilitate and integrate high value environmental, intelligence, and adversary behavior information into efficient, scalable, and parallelizable automated or mixed-initiative decision support system algorithms. The candidate will be responsible for leading, planning, conducting, and documenting research on algorithm development for a portfolio of sophisticated and novel meteorology/oceanography (METOC)-based mission planning decision aids. The candidate will be responsible for solving dynamic task and resource management, mission planning, etc., multi-objective optimization problems using, but not limited to, the following: statistical analysis, estimation, linear programming, combinatorial optimization, dynamic and approximate dynamic programming, nonlinear programming, machine learning. He/She will also conduct optimization-based research on single and multi-core and multi-processor systems to investigate algorithmic scalability, sensitivity and information valuation analyses, robustness and resilience, and parallelization capabilities through use of, but not limited to, shared memory, multi-threading, multi-processing, message passing, and hybrid parallel programming models. Responsibilities will include: a) assisting with software engineering, development, and testing of new algorithms and tactical decision aids for course of action (COA) guidance; b) development and testing of uncertainty management approaches in a dynamic environment for robust and resilient task scheduling or resource management optimization; and c) leveraging multi-processor and GPU compute capabilities for valuable and rapid COA guidance. The candidate will interpret the evolving net-centric warfare guidelines as they specifically apply to METOC and METOC-impacted systems. The candidate will collaborate with organizations from the Naval and National Intelligence Communities to utilize METOC fused with Intelligence information to develop multiple efficient algorithms to suggest optimal or near-optimal courses of action to be used within decision support tools to support deployed Navy, Joint, and Coalition operating forces.They will develop algorithms and neural networks that utilize all available environmental data (e.g., real-time satellite data, real-time radar data, unmanned sensor data, conventional meteorological and oceanographic observations, model environmental re-analyses, model environmental reforecasts, real time global environmental predictions (from multiple models, both deterministic and ensemble), real time regional environmental predictions (from multiple models, both deterministic and ensemble), etc.) along with relevant real time intelligence and behavioral information, and develops innovative optimization methods for proactive decision guidance systems. The candidate will transition and/or facilitate the transitions of advanced algorithms and optimization approaches to Navy operational systems. Qualifications Advanced degree in Computer Science, Statistics, Operations Research, or related disciplines. At least 2 years of relevant experience in government and/or industry is preferred. Experience working with Navy decision support systems is a plus. At least 2 years of relevant experience in machine learning backends or API, such as TensorFlow, PyTorch, Keras, or similar. Ability to obtain and maintain a Secret security clearance. Demonstrable extensive knowledge and experience in formulating complex problems and developing and testing of efficient algorithms to tackle NP-hard problems with complex problem space. Incumbent must have experience in integrating METOC statistical models, including grids of observations and environmental model outputs, into algorithms; in particular focusing on the outputting course of action guidance for human decision makers. Deep knowledge of the principles, methods, and state-of-the-art techniques used in data science, operations research, and decision support, including statistical inference, correlative analysis, machine learning, dynamic programming and approximate dynamic programming. Skill in developing efficient and robust computer codes for Navy-relevant problems. Software Engineering: In-depth knowledge of Python, MATLAB, and FORTRAN languages. Web Programming: Incumbent must demonstrate ability to program and work in the UNIX and LINUX operating system environments. Parallel Computing: Incumbent must demonstrate knowledge of parallelizable algorithms, scalability practices, and GPU/MPI parallelization frameworks. Ability to communicate effectively both orally and in writing, with experience in writing theses, scientific journal articles, or manuals. Ability to write successfully funded proposals for naval concepts and ideas. Desired Qualifications Overview SAIC is a premier technology integrator solving our nation's most complex modernization and readiness challenges. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes high-end solutions in engineering, IT, and mission solutions. Using our expertise in existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions. We are 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, Virginia, SAIC has pro forma annual revenues of nearly $6.5 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom. For SAIC benefits information, see Working at SAIC. EOE AA M/F/Vet/Disability" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Research Data Scientist,"Arlington, VA 22203 (Ballston-Virginia Square area)",Institute for Justice,"Do you want to use your data analytics skills to advance individual rights? The Institute for Justice, the national law firm for liberty, is seeking an entrepreneurial data scientist with one to three years of experience to join its Strategic Research (SR) team at its headquarters in Arlington, Virginia, as our Research Data Scientist. On the SR team, the Research Data Scientist plays a critical role by finding solutions to complex data problems, enabling our team to undertake more sophisticated research with large, often previously untapped data and new analytical tools. The Research Data Scientist works closely with team members to identify data needs and opportunities; find, design, clean, and organize data, including with custom solutions; determine project design; and present results to internal and external audiences. The Research Data Scientist’s primary duties and responsibilities include: Designing and building databases, data collection systems, data analytics, and other strategies that optimize our research team’s efficiency and quality Proposing solutions and strategies to novel project challenges, including appropriate database use and project design Extracting data from various sources, including websites and PDFs Using GIS software for data analysis and visualization Updating and maintaining existing SQL-based databases Collecting and organizing large datasets for research projects Acquiring data from primary or secondary data sources Organizing and storing those data in databases/data systems; this will include large structured and unstructured datasets and variables Undertaking preprocessing of structured and unstructured data; processing, cleaning, and verifying the integrity of data used for analysis Making datasets accessible to teammates by, for example, creating user frontends Identifying relevant data sources to mine for projects Serving as a resource to team members and other IJ colleagues Developing clear understanding of IJ’s mission and the research team’s work in order to identify research opportunities Clearly communicating internally (including with non-experts) about data challenges, solutions, and opportunities Helping translate complex data into insights our team can use Providing accurate time estimates and delivering high-quality work on time to keep large projects on track Presenting data, analysis, and findings to external audiences Applying data visualization techniques Describing research methods in publications, including reports, journal articles and possible affidavits in court Coordinating with web designers to present data online Required qualifications include: Bachelor’s degree and 1-3 years’ experience in a related field or equivalent professional experience Proficiency in SQL, R, data visualization tools, GIS, Python Experience with managing and analyzing large data sets, including noticing and correcting discrepancies to ensure accuracy Great communications and collaboration skills, as well as ability to work independently Strong problem-solving skills Exceptional attention to detail Ability to manage multiple projects and meet deadlines A drive to learn and master new technologies and techniques A passion for IJ’s mission Preferred qualifications include: Demonstrated applied statistics training and/or skills, such as calculating distributions, performing statistical testing, conducting regression analysis, etc. Facility with statistical programs like Stata or SPSS Ability to develop web-ready visualization (e.g. D3 JS library) Ability to write clear, compelling prose Compensation is commensurate with experience, and IJ offers superior benefits including medical, dental, vision and life insurance, retirement benefits and generous paid leave. To be considered, please submit a resume by clicking “Add Resume,” a cover letter using the “Add Cover Letter” feature and a writing sample under the “Add Portfolio” section. More about the Institute for Justice's SR Team: IJ’s Strategic Research team creates social science and policy research, but our studies don’t just sit on a library shelf collecting dust. We put our research to work by combining it with IJ’s unique brand of cutting-edge litigation, award-winning communications and top-notch activism and legislative outreach. Our studies have been cited by the White House and the U.S. Supreme Court, as well as leading news outlets nationwide. Our work has helped certify a victorious class action lawsuit against Philadelphia’s civil forfeiture machine, ensure the return of cash wrongfully seized by the IRS, roll back needless occupational licensing, dismantle speech-squelching campaign finance laws, and protect programs that empower parents to choose the best schools for their children." Associate Data Scientist,"Salt Lake City, UT",Collective Medical,"Who we are: Collective Medical is a fast-growing Utah-based company determined to prove that exceptionally crafted software and passionate healthcare providers and health plans, together, can improve the health of some of the most vulnerable members of our community. Our software closes the communication gaps that undermine patient care. We help healthcare professionals work together more seamlessly so that they can deliver a better care experience to their patients. Our network is nationwide. We serve every national health plan, hundreds of hospitals and health systems, tens of thousands of providers, and tens of millions of patients. The result? Our software is proven to reduce the cost of care, streamline coordination across provider teams, and reduce medically-unnecessary hospital visits. Our mission: Eliminate avoidable risk and friction from care delivery. In other words, we work to catch people before they fall through the cracks of our very complicated healthcare system. Why we love working here, in the words of our own team: “We have good, smart, humble, caring people. The people here are good and they care about our mission and the difference we're making in health Care.” “I see the benefits my work provides. The people here are amazing. I feel empowered to succeed.” “I feel like what we do matters and the employees are working together not against each other!” Other reasons we love working here: It’s all. about. the. MISSION. Seriously, we are a highly mission-driven company. The cause is noble and pure. We’re obsessed with culture, people, and opportunity. At or above-market compensation. Unlimited PTO. Generous benefit package including company-sponsored healthcare, dental, vision, disability, life-insurance, 401K. Health and Learning reimbursement. Loaded break room, Monday lunches, and lots of other meals throughout. Quarterly team and company events The Role: Collective Medical is looking for an Associate Data Scientist to support internal and external customer’s analytic and data consulting needs. The Associate Data Scientist will be responsible for visualizing data to drive data driven decision-making with external customers in tracking and monitoring ROI, along with internal customers through tracking and monitoring KPIs. The Associate Data Scientist will prepare, analyze, and review health care data, interpret results and provide recommendations, and manage relationships with our internal and external partners. Responsibilities include: Respond to ad hoc analytic requests from internal and external customers Visualize data to develop a better understanding of the value our customers receive through usages of our software products Create and maintain dashboards and other reporting tools to identify trends using data to drive the business to action Understand and use the data warehouse and relational databases Ensure accurate quality for deliverables by working with peers for appropriate levels of quality assurance Who you'll work with: The Associate Data Scientist will work closely with the many teams through the organization including Marketing, Product, Strategy, Account Management, and Sales, along with the rest of the Data Science team in visualizing and tracking data an analytics to ultimately help our customers improve care coordination. What you’ll be doing day to day: Consulting with product and account management regarding success and ROI metrics for each customer Building metrics and Tableau dashboards to track the success towards companywide and department level KPIs Sharing insights with the company regarding drivers of success and/or areas of opportunity Researching impact of new ideas to help prioritize areas of focus What we’re looking for: Bachelor’s degree (or equivalent experience) in data science, analytics, mathematics, statistics, public health, economics, social, social science, or actuarial science. Master’s degree or PhD preferred, but not required. 2 to 4 years of related analytics work experience or equivalent combination of education and experience Previous healthcare related industry experience a plus Experience with data mining and visualization tools such Python, R, SAS, Java, Tableau, as well as querying languages (SQL, etc.) Knowledge of all Microsoft Office applications, including Word, Excel, and PowerPoint Ability to meet deadlines, work with tight schedules, and manage multiple priorities under minimum supervision Excellent verbal and written communication skills Strong analysis skills Strong attention to detail Experience with cleaning, aggregating, and pre-processing data from varied sources. Experience creating complex SQL queries for standard as well as ad hoc data mining purposes. Find out more about us: https://www.forbes.com/sites/zinamoukheiber/2017/11/29/how-collective-medical-technologies-conquered-emergency-rooms-on-a-bootstrap/#123715c16824 https://www.collectivemedicaltech.com/news/press-releases/collective-medical-secures-47-5-million-in-series-a-funding/ Collective Medical empowers care teams to improve patient outcomes by closing the communication gaps that undermine patient care through seamless collaboration. With a nationwide network covering every national health plan in the country, hundreds of hospitals and health systems and tens of thousands of providers—including hospitals, emergency departments, skilled nursing facilities, primary care providers, mental and behavioral health clinics, and others—Collective Medical’s system-agnostic platform is trusted by healthcare organizations and payers to identify at-risk and complex patients and facilitate actionable collaboration to make better care decisions and improve outcomes. Based in Salt Lake City, Collective Medical is proven to streamline transitions of care, improve coordination across diverse care teams, and reduce unnecessary hospital admissions. Learn more at www.collectivemedicaltech.com and follow us on Twitter, Facebook, and LinkedIn." University - Data Scientist Consultant,"McLean, VA 22102",Booz Allen Hamilton,"A Day in the Life of a Data Analyst Consultant at Booz Allen: Data is a gold mine if you know how to read it. Do you? Leverage knowledge of Cloud computing technologies as part of the data science team. Work in conjunction with industry-leading Cloud computing technologists and develop machine learning, data mining, and statistical and graph-based algorithms designed to analyze massive datasets. Apply knowledge of and experience with Cloud technologies, partner with Cloud technologists, and ensure proper implementation and usage of algorithms. Work with a large financial government agency to save billions in tax fraud. Help a domestic intelligence agency reduce auto theft. Adapt mathematical and predictive models to deliver healthcare insights. These positions may be located in VA, DC, or MD. About Booz Allen: At Booz Allen, we’re empowering people to change the world—starting with you. On our team, you’ll enhance the security, economic well-being, health, and safety of people at home and around the globe. We’re setting and raising the bar in analytics, consulting, cyber, digital solutions, and engineering & science. We do it by finding the brightest minds and giving them a place to collaborate, take risks, and get even brighter. Our focus on people isn’t corporate jargon: it’s essential to our success. It’s the reason Fortune, Forbes, Corporate Equality Index, and other organizations have consistently rated us a best place to work. And it’s how we’re going to leave the world better than we found it. Because products alone can’t create progress—but people can. And our people do. Basic Qualifications:Experience with machine learning, data mining, statistics, or graph algorithms in academic or internship environmentsExperience with using R, Perl, Python, SAS, or SPSS for data analysisKnowledge of an object-oriented language, including Java, C++, C#, or PythonAbility to leverage expertise in data gathering, analytical, and problem-solving workAbility to obtain a security clearanceScheduled to obtain a BA or BS degree in Spring or Summer 2020 Additional Qualifications:Pursuing a BS degree in CS, Computer Engineering, Systems Engineering, or a related field preferred; pursuing an MS degree in CS, Computer Engineering, Systems Engineering, or a related field a plus Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change. URT1" Sr Data Scientist,"Charlotte, NC",Bank of America,"Senior Data Scientist is responsible for being a part of the execution team of advanced analytics techniques with the objective of creating casual inferences, predictions and recommendations for the transactional analytics portfolio and metrics to monitor improvements. This role will support key regulatory and GBAM LOB Strategic implementations. This individual contributor position is responsible for working with key business partners, data and technology to establish roadmaps and deliver high value analytic outcomes. The position requires a strong command of various data mining and advanced analytics techniques to produce actionable outcomes. Responsibilities:Use data assets to gain insights into current processes and modelsProcessing, cleansing, and verifying the integrity of data used for analysisExtending company’s data with third party sources of information when neededFeature engineeringDoing ad-hoc analysis and presenting results in a clear mannerCreating automated anomaly detection systems and constant tracking of its performanceData visualizationResearch, evaluate, design and implement advanced analytics techniques to solve real business problemsResearch new approaches and fin-tech solutions as they become available in the market to determine applicabilityCommunicate effectively with cross functional work groups to assess opportunities and deliver on solutions.Identify and remediate risks in a timely manner Experience / Qualifications:10+ years of professional experience as a data scientist or related rolesAdvanced degree of equivalent experience in a quantitative discipline.Strong STEM background - hands on experience in Machine Learning, NLP, Deep Learning (Tensorflow), Statistical Modeling, Quantitative Analysis, Forecasting, Data VisualizationUnderstanding of machine learning techniques and algorithms, such as Gradient Boosted Trees.Strong knowledge and high proficiency in Python (scikit learn, pandas, numpy etc.) SAS, SQL, R & MATLAB, C/C++, Jupyter NotebookWholesale Banking data knowledge highly desiredExperience with data visualization tools ex TableauExperience with transaction and credit processes and systems including the distribution and use of data for analytics, modeling, and reportingHighly motivated, proactive and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversightCritical thinker; ability to analyze problems and identify both tactical and strategic solutionsAbility to navigate the enterprise & data assets across multiple functionsHighly organized. Effectively prioritizes and balances multiple efforts in a fast-paced, regulatory driven environment Shift: 1st shift (United States of America) Hours Per Week: 40" "Data Scientist, Sr Associate - Location: McLean or Washington DC","McLean, VA 22102",EY,"Join our Americas Data Enablement team and be a part of a high-energy, fast-paced, and innovative group. In an environment where collaboration and openness are valued you will help develop and support the important data analytics capabilities that will deepen our understanding of the drivers of our business performance and inform our business decisions. Our data enablement initiatives span all our businesses and stakeholders. You will have the opportunity to deliver breakthrough analytical solutions and work with those businesses and functional areas, including but not limited to Finance, Information Technology, Human Resources, Brand Marketing and Communications, Knowledge and Risk Management. You will have the opportunity to develop your career through a broad scope of experiences and projects, active mentoring and continuous learning. That’s how we develop outstanding leaders who team to deliver on our promises to all our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities. Sound interesting? Well this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. Job Summary: EY is a leading global professional services firm that is using data-driven solutions and capabilities to transform our own business and the businesses of our clients. Join an organization where you can use your most advanced skills every day and enjoy the satisfaction of developing impactful solutions to the most challenging business issues and opportunities. Work closely with executives responsible for creating and driving data driven solutions within EY and our clients. Key Responsibilities As a data scientist you will work with a team of data scientists to build econometric and machine learning models to identify causation and create predictability in key areas, such as revenue forecasting, employee attrition and experience, and understanding our clients, which will provide key inputs to critical businesses processes. Under the guidance of senior team members, you will participate in the design, development, and implementation of statistical models. You will build reports, produce insightful analytics, communicate findings and share technical subject matter clearly and concisely with senior business leaders. You will develop and maintain programming for data pipeline, perform data exploration, work on model testing, improve model performance, and achieve model optimization. Along with team members, you will periodically review statistical forecasts, evaluate model performance, and address statistical modelling issues.Skills and Attributes for Success We are looking for candidates who are highly motivated, analytical thinkers with a passion for analytics and attention to detail. The ideal candidate will have strong knowledge of statistical methods (particularly time-series forecasting), and experience applying data analysis techniques to manipulate and analyze complex data from various sources. The candidate will be driven to take on challenges, have passionate curiosity, and provide creative solutions on a wide range of business issues/topics, and be able to adapt to ambiguous and changing challenges. The skills and attributes key to this role include: Experience using econometric and machine learning tools for forecasting Familiarity with open source data analysis and modelling tools (R/Python) Ability to build data pipelines that transform multiple datasets with real-world messiness to organized information that is fit for statistical analysis A passion for continuous learning An aptitude to dive deep on technical challenges and work through ambiguity to move from concept to solution Critical thinker – practical application of advanced concepts to enhance business performance The ability to inspire confidence in senior business leaders by simplifying complex concepts and analysis Passion for data, analytics, modeling and cutting-edge algorithmsMinimum Requirements Master’s degree in Economics, Finance, Statistics, Computer Science or related quantitative field Experience manipulating, transforming, and analyzing complex data Experience in time-series econometrics for both big and small data Experience in machine learning modelling and interpretation Strong communication skills including the ability to communicate across multiple levels in the organization At least one year of post-graduate experience Familiarity with one or more programming languages used for data cleaning, analysis, and visualization: R, Python, Stata, SAS, Julia.Ideal Additional Experience PhD in Economics, Finance, Statistics, Computer Science or related quantitative field Two or more years of experience in consulting, business, or government Familiarity with SQL and common relational database tools Familiarity with one or more common visualization tools: Tableau, Power Bi.EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status." Data Science Summer Intern,"South San Francisco, CA 94080",Freenome Holdings,"Freenome is seeking a Data Science Summer Intern About the Role Freenome’s Data Science Intern will participate in building Freenome’s ability to more effectively predict disease. This summer, the intern will learn how to successfully contribute by helping create models, writing code, and building reports that allow us to more deeply understand patients’ medical and clinical data. You will join an innovative, high impact team that takes our mission of curing cancer seriously and finds innovative ways to leverage our data for all it’s worth and more. If you are passionate about building a strong intellectual community and you want to help be a part of treating cancer, come talk to us! Responsibilities and Potential Projects: Incorporate clinical data into our modeling techniques Report on insights and trends you find in patients’ clinical and medical information Find ways to automate analyses and improve long-term team efficiency Build prototypes of pipelines to ensure clinical data integrity Plan, lead, and create your very own data science project! What We’re Looking For: A 3rd-year undergraduate student in a Statistics, Mathematics, Computer Science, or similar full-time degree program Experience with Python An understanding of predictive modeling techniques Past experiences or projects managing large amounts of complex data A willingness to work cross-functionally with both technical and non-technical teams A desire to dive into biomedical literature when trying to understand clinical data A passion for being a part of an exciting, fast-paced startup! About Freenome Freenome is on a mission to empower everyone with the tools they need to detect, treat, and ultimately prevent diseases. By applying advanced machine learning techniques to recent breakthroughs in genomic science, Freenome is developing simple blood tests to detect early-stage cancer and make treatments more effective. The company has raised $238 million from investors such as RA Capital, Polaris Partners, Perceptive Advisors, Andreessen Horowitz, funds and accounts advised by T. Rowe Price Associates, Inc., GV (formerly Google Ventures), Roche Venture Fund, Kaiser Permanente Ventures, American Cancer Society’s BrightEdge Ventures, Data Collective Venture Capital, Novartis and Verily Life Sciences (formerly Google Life Sciences). Our Science Freenome is building technology to gain an understanding of the body through several analytes derived from blood. These signals include cell-free DNA, methylation of cell-free DNA, cell-free RNA, circulating proteins, and immune profiling derived from thousands of prospective samples. By developing novel statistical learning methods and applying them to integrate various -omics datasets, Freenome is a leader in modeling specific biological mechanisms to capture disease dependent signatures such as gene expression, immune response, tumor burden, the tissue of origin, and 3D chromatin structure. By building comprehensive discovery datasets and modeling critical biological systems, Freenome is learning what biological changes are present within the blood between a variety of different disease states including cancer, autoimmune disorders, infections, drug response, and aging. With the combination of Freenome’s datasets, cross-functional technical expertise, and mission to uncover the biological truth, we seek to positively change the lives of millions through the early detection and early treatment of disease. Our Culture Freenomers are technical and creative, visionary and grounded, empathetic and passionate. We build teams around divergent expertise, which allows us to solve problems and uncover opportunities in unique ways. Freenomers are some of the most talented experts in their fields, coming together to advance healthcare one breakthrough at a time. We value empathy, integrity, and trust in one another. That means embracing other’s perspectives, those of our coworkers and those of the patients and communities we serve. It means knowing when to push, and when to listen. At Freenome, we give each other the benefit of the doubt in the belief that we’re all working as a team toward the same goals, and empower others to grow in a collaborative environment. What does a successful person look like at Freenome? Those who thrive at Freenome prioritize, manage, and execute their own goals in alignment with those of the company. They embrace our values of empathy, integrity, and trust, and hold themselves and their team accountable. They crave collaboration with brilliant minds from unfamiliar fields of study and believe that hiring and mentorship are fundamental to our success. Above all, they welcome and provide constructive feedback and criticism, trusting in the good intentions of others, and secure in the knowledge that embracing mistakes is the best way to learn and move on. For those who crave challenges, understudied problems, and the chance to see their work impact the lives of millions of people affected by cancer every year, there’s no better place to be. Freenome explicitly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status." Data Scientist II,"Richardson, TX 75080",Lennox International,"Company Overview:Lennox International (LII) is a leading global provider of innovative climate control solutions for heating, ventilation, air conditioning, and refrigeration (HVACR) markets. Beginning over a century ago, Lennox International has built a strong heritage of Innovation and Responsibility. Our position as an innovation leader continually inspires us to promote more efficient energy use and a healthier environment through our product operations. Our engaged and diverse workforce is committed to providing climate control solutions that provide the most value and comfort for our customers. We are proud to have instilled a shared sense of responsibility and commitment among our approximately 10,000 employees located throughout North America, South America, Europe, Asia, and Australia.Job Description: General duties of this position will entail the following: Organizes, analyzes and extracts meaningful information from large amounts of data to build a learning machine which helps in streamlining business processes. Assists on machine learning projects that use and promote data-exploration techniques to discover new or previously unasked questions. Builds custom data-fueled models and algorithms, uses machine learning tools and statistical techniques to improve decision making capabilities, produce solutions to problems and improve ROI. Builds custom data models and algorithms to complex data sets Works on a broad range of Data Science problems across varied business groups. Develops expertise in various businesses and help translate that into increasingly high value added advisory solutions to stakeholders. Works with others to develop, refine and scale data management and analytics procedures, systems, workflows, best practices and other issues to contribute to the company’s machine learning practice. Qualifications:Requires a bachelor's degree in a related field (Business, Computer Science, Information Science, Analytics) or an equivalent combination of education and experience. Requires at least 1 year related experience. Excellent problem solving skills, ability to apply quantitative and qualitative methods. Good Knowledge of statistical computer languages (R, Python, SQL, PySpark, etc.) to manipulate data and interpret insights from large data sets. Understanding of machine learning techniques (clustering, decision trees, Random Forest, Logistic regression, Linear regression, Gradient boosted trees, naïve bayes classifier). Understanding of big data architecture and how distributed computing works. Understanding of basic database concepts, ability to handle large complex data sets. Ability to communicate results and gain consensus with non-technical audience. Experience with SparkMlib combined with strong programming background. Basic knowledge about analyzing unstructured information. Strong knowledge about Visual analytics, preferable experience with Qlik, Tableau or PowerBI." Senior Data Scientist,"Gahanna, OH",Kognetics,"Working closely with the technology and learning teams, the DataScientist will be responsible for the following: Creating infrastructure for thedelivery team; Maintain a working knowledge of data mining and visualizationbest practices; Work in coordination with the team for better and quickresults; Being able to develop or program databases; Having theability to query databases and perform statistical analysis; Analyze the dataavailable and provide the relevant output; Collaborate with engineering colleagues to define the datamodeling goals for designated project areas; Having a good understanding of design and architectureprinciples; Understand the importance of the system development and help ingetting it implemented; Have good time management skills and should be able to meetthe expected deliverables; Being able to create examples, prototypes, demonstrations tohelp management better understand the work; Capacity to motivate and train junior scientists and offercounsel to peers. Being able to work autonomously; Basic Qualifications: Passion, commitment, resourcefulness, and a drive to continuelearning are essential prerequisites. For this role, we’re also looking forsomeone who meets the following criteria: Ph.D./ Master's Degree in Statistics,Mathematics, Computer Science, or equivalent; 5+ years of data science/miningexperience; Excellent knowledge of at least twocoding languages, e.g. Python, Java, Scala, R Language, SQL, ETL Tools, Perland Pig; Should have worked on different toolslike Java, SQL, Python, etc.; Good experience with SQL, Linux shell scripts,Perl, and AWK; Domain knowledge in at least twoindustries; Minimum five years of experience in customer-facing activities; Overall knowledge of BusinessIntelligence; in particular, data modeling, ETL, and reporting tools; Extensive hands-on experience workingwith very large data sets, including statistical analyses, data visualization,data mining, and data cleansing/transformation;" Data Scientist - Investment Research,"New York, NY","Two Sigma Investments, LLC.","Two Sigma is a different kind of investment manager. Since 2001, we have used data science and technology to derive insights that forecast the future and discover value in markets worldwide. Our team of scientists, technologists and academics looks beyond traditional finance to understand the bigger picture and develop creative solutions to some of the world’s most challenging economic problems. Our work spans across markets and industries, from insurance and securities to private investments and new ventures. Two Sigma's data engineering platform enables us to harness some of the world's most complex & challenging content, as we structure and integrate new datasets into a diverse ecosystem of syndicated financial and industry-specific data products. Two Sigma's data scientists are focused on joining, enriching, and transforming datasets into novel creative measures of economic activity. We utilize a variety of modeling techniques to generate financially-relevant predictions feeding into Two Sigma's systematic investment management platform, we measure the performance and impact of our predictions in a variety of settings, and we further distill economic insights and thematic analyses from our data & observations. You will take on the following responsibilities: Design & implement granular domain-specific indicators from data, relating them to company, industry, and macroeconomic factors Contribute to the design of investing strategies on economic predictions through multiple investing paradigms Manage requirements for a set of dependent data products derived from a large portfolio of integrated data feeds Contribute to data sourcing strategy across multiple industry data verticals supporting our prediction efforts Generate a series of economic insights research reports relating trends in our indicators & predictions to investment themes You should possess the following qualifications: 1-5+ years of experience in applied data analysis & prediction, preferably in an industry setting Degree in a technical or quantitative disciplines, like statistics, mathematics, physics, electrical engineering, or computer science Demonstrably strong data science modeling intuition and feature engineering creativity Expertise in applying statistical techniques for time-series measurement/estimation and prediction Intimate familiarity with the potential flaws & fallacies in the applications of specific statistical methods Experience specifying & managing requirements for datasets leveraged in your analyses Working knowledge of SQL and common data science toolkits : Python, R, Spark, Matlab Strong written & verbal communication and presentation skills, with experience crafting a compelling narrative supported by data A portfolio of open-data analyses or data-driven research publications would be ideal You will enjoy the following benefits: Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms Learning: Tuition reimbursement, conference and training sponsorship Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics." "Watson Health Data Scientist, NLP / Image Processing","Cambridge, MA 02139 (Area IV area)",IBM,"Introduction As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.Your Role and Responsibilities IBM Watson Health is looking for talented individuals destined to usher in the next era of healthcare. We live in a moment of remarkable change and opportunity. The convergence of data and technology is transforming healthcare and life sciences organizations today. New opportunities are being created that never existed before to meet the demands of this transformation. The Rapid Development is a team of Scientists and Cognitive Software Developers within IBM Watson Health Imaging. In collaboration with cross-functional Watson Health teams, IBM Research and external partners, the team develops cognitive solutions that combine imaging and clinical data to enhance clinical decision making. The team is responsible for developing and validating robust and scalable cognitive services (text analytics and image analytics) and applications, including validation and evaluation of technologies being transferred from Research and other collaborators. The team follows Agile and DevOps methodologies to enable rapid iteration and responsiveness. We are looking for self-motivated and driven candidates that are passionate about working on cutting edge technologies and that thrive in a highly collaborative environment. Job Responsibilities Design and development of robust algorithms and techniques using machine learning and one or both of (a) text analytics, Natural Language Processing (NLP) or (b) image processing, Computer Vision Rapid development and validation of cognitive solutions by using and/or enhancing existing methodologies, frameworks and architecture Development of criteria for testing algorithm and system’s cognitive performance objectively from end-user and market perspective. Conduct performance evaluation and testing of algorithms and systems on test and real clinical data Work with clinical collaboration and joint development partners to develop cognitive solutions Support collection and annotation of data for algorithm development and evaluation Integration of cognitive systems and components in Watson Health architecture, including Watson Health cloud Planning, processing and performing all jobs in an efficient manner with minimum supervision Conduct product development in compliance with Watson Health’s methodology, practices and Quality Management system.Required Technical and Professional Expertise 1-3 years experience with solving real-world problems using Data Analytics, Natural Language Processing (NLP) or Image Processing, and Machine Learning, Strong experience in Machine Learning, including deep learning and statistical models Strong Programming skills (Java/J2EE, C++, Python) and experience with software systems architecture, web services, web applications, and current software development tools, technologies and frameworks Strong publication record in peer-reviewed conferences and journals Demonstrated communication and cross-functional collaboration skills; PhD in Text Processing / NLP or Image Processing / Computer Vision Fluent in English, spoken and written Preferred Technical and Professional Expertise Strong knowledge of either (a) clinical information analytics domain, having applied NLP and machine learning techniques on unstructured data in EMRs, or (b) medical imaging domain, having applied computer vision and machine learning techniques on modalities such as X-ray, CT, MR, Ultrasound, etc. Interest or experience with healthcare information protocols and common interoperability standards, such as IHE, HL7, DICOM, XDS and IHE, and healthcare systems such as PACS, EMR, EHR, HIS and RIS; PhD in Text Processing / NLP applied to medical reports, or Image Processing / Computer Vision applied to medical imaging.About Business Unit IBM Watson Health is pioneering a new partnership between humanity and technology with the goal of transforming global health and revolutionizing many aspects of the medical and pharmaceutical industries, as well as government sectors. We aspire to improve lives and give hope by delivering innovation to address the world’s most pressing health challenges through data and artificial intelligence insights.Your Life @ IBM What matters to you when you’re looking for your next career challenge? Maybe you want to get involved in work that really changes the world? What about somewhere with incredible and diverse career and development opportunities – where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust – where everyone has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, not to do something better, but to attempt things you never thought possible. Impact. Inclusion. Infinite Experiences. Do your best work ever.About IBM IBM’s greatest invention is the IBMer. We believe that progress is made through progressive thinking, progressive leadership, progressive policy and progressive action. IBMers believe that the application of intelligence, reason and science can improve business, society and the human condition. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.Location Statement For additional information about location requirements, please discuss with the recruiter following submission of your application.Being You @ IBM IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Data Scientist, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of environments (including various databases, Linux servers, and Hadoop). You’ll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment.Expected Qualifications: Bachelor’s degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree strongly preferred 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analytics Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc. Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc. Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) Excellent communication skills Passion for extracting hidden insights and building machine learning systems that enhance business outcomes About GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." NA,NA,NA,NA Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Data Scientist, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of environments (including various databases, Linux servers, and Hadoop). You’ll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment.Expected Qualifications: Bachelor’s degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree strongly preferred 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analytics Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc. Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc. Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) Excellent communication skills Passion for extracting hidden insights and building machine learning systems that enhance business outcomes About GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Director, Data Science","Los Angeles, CA",AXS Group,"AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we've consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today. We're passionate about improving the fan experience and providing game-changing solutions for our clients, and we're always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment. Together we keep the world cheering. We're currently seeking a Director, Data Science to join our growing Global Data Strategy & Analytics team. The successful applicant will thrive on digging into rich ticket purchase and consumer behavior data to better understand the needs of our business and make optimal decisions about our product experience and e-commerce site for our clients and consumers. We are looking for a passionate leader to start and gradually grow a team of data scientists who employ a diverse ecosystem of creative machine learning models, applied experience in artificial intelligence, and advanced statistical analyses. As a successful leader in this space, the applicant will be a strong executor, as well as a technical authority interacting closely with business partners to understand their needs, communicate vision and roadmap, and ensure delivery of relevant solutions for the business while growing a team culture of research, testing, learning and innovation. KEY RESPONSIBILITIES:Focus on research and development through statistical modeling of large amounts of data; identify patterns and trends in data sets to use towards predictive analytics; develop actionable insights to guide data-driven decision making for AXS globally. Examples of data points to analyze are ticket purchase, paid marketing campaign, audience engagement, and product analytics to name a few. Examples of projects are developing pricing algorithms, predicting ticket sales, creating customer profiles etc. Work with all functions of the organization i.e. Product, Marketing, Distribution, Music, and Sports and external clients to develop a data science plan that allows the functions to use ML and AI to create sustained value to revenue, customer experience, and operations Define and develop a long-term research agenda aimed at generating innovations to solve critical business needs and to enhance AXS' products Collaborate with data engineering team to integrate data collection, data quality and core model output into production systems, to automate and advance built out algorithms and models Evolve iterative development process to drive timely Data Science outcomes and reinforce the test-and-learn culture Start and grow a high impact team of Data Scientists Guide and evangelize development of product and technologies that accelerate iterative, rapid experimentation processes REQUIREMENTS:PhD or MS in computer science, machine learning, statistics, applied mathematics, physics or other scientific and computational disciplines Minimum 7+ years of applied experience in data science and statistics Proven expertise developing algorithms for solving diverse business challenges and creating value for the company Talent in analytical storytelling with extraordinary ability to convey complex analytical results to both technical and non-technical audiences; skill at building relationships across the organization and becoming a trusted, sought-after partner A strong passion and evangelism for data science, coupled with deep desire to adapt machine learning and cutting-edge technologies to provide high impact to AXS' business model 3-5 years of experience building, managing, mentoring, and inspiring high performing, collaborative teams that values testing and learning Strong background working with large-scale both structured and unstructured data in distributed computing environments, including databases, data cleaning, and feature engineering Experience with iterative and rapid experimentation process in the context of research and analytics Passion and focus on execution with demonstrated ability to get things done Well-versed in Python, R, SQL, statistical tools Experience in e-commerce, ticketing, or entertainment is preferred." "Data Scientist, BitTorrent Speed","San Francisco, CA",Tron,"About us: TRON-BitTorrent offers a unique and compelling work environment. We are proponents of the open Internet and we serve one of the largest user demographics in history. We take these responsibilities seriously and hire accordingly. We work with only the brightest engineers and the most talented business people we can find. Everyone on our team is here to do meaningful work with broad reaching impact. We have a fun yet challenging work environment that fosters diversity, creativity, and teamwork. Come join the team that will decentralize the internet! Role Summary Do you want to create a free and decentralized internet through blockchain and open a new borderless economy on a global scale? We are looking for a highly motivated Data Scientist who is passionate about big data and experiment design to join TRON's Project Atlas team. Projects will span many analytics initiatives, ranging from in-app features to product marketing, pricing and more. The ideal candidate will show a strong grasp of business models and statistics, excellent understanding of hypothesis testing, great analytical and problem-solving skills and the ability to coherently describe complex mathematical concepts to a layman audience. Key Responsibilities Provide the insights and discovery on a variety of dataset across the business. Serve as the data and analytics domain expert, evangelizing data literacy and building a suite of tools to empower the team to make data-informed decisions: dashboards, reports, ad-hoc queries, insightful observations Drive and own A/B testing strategies, implementations, and analysis Provide support and expertise to Product Managers in defining KPIs and technical data requirements to ensure all product features and initiatives launch with proper metric tracking. Deliver data and data analysis on an ad-hoc basis using whatever tools are necessary for the task Measure network performance in one of the world's largest distributed applications. Key Skills BS required, ideally in a relevant field to analytics (engineering, information systems, math, science, etc). 2-5 years of professional experience as a Data Scientist / Senior Analyst Strong SQL capabilities - experience querying data from relational DB engines. Solid programming skills in Python or R, or other data analytics programming languages. Knowledge and experience in A/B testing - know about statistical test, bayesian inference. Experience with a Business Intelligence Dashboards tool (Tableau, Google Data Studio, Superset, or similar) Strong written and verbal communication skills - be able to take complex math and analytical concepts and explain to working teams and client executives. Bonus! Experience with the big data technology stack (HDFS, MapReduce, Spark, Hive) and big data processing Experience with MapReduce using Hadoop or Spark Knowledge in machine learning algorithm such as linear/logistic-regression, Neural-Networks and others would be a strong plus. Experience with AWS tools/services is a big plus!! What We Offer:Competitive salary and 401K. 100% paid health coverage (for you and your family) that includes dental and vision plans. Flexible working hours, including the ability to work from home (on occasion or as needed) Unlimited paid time off Plenty of free food at the office, 4 rotating kegs on tap, and yummy catered lunches. Regular team-wide outdoor events and parties. Up to $50/month wellness benefit at a gym or wellness group of your choice Your choice of the latest, top-of-the-line equipment and tools to work with. Work with heaps of smart, awesome people, including a surprising number of people who are great at pool, pinball, and foosball. TRON-BitTorrent is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status." "Data Engineer, Machine Learning","San Francisco, CA 94107 (South of Market area)",Adobe,"Machine Learning is a critical part of Adobe’s Cloud offering. Adobe Clouds enable customers to create and manage digital content, such as assets, composites, 3D, documents etc., and digital experience and transformations. Creative Cloud is focused on visual creativity and creation, and includes such well-known products as Photoshop CC, Illustrator CC, Lightroom CC, and Adobe Stock. Document Cloud is centered around the creation and management of textual documents, including Acrobat DC and Adobe Sign. Experience Cloud is the set of offerings for the large-scale enterprise, covering marketing, advertising, and analytics. We are building a machine learning platform, called Adobe Sensei, that powers machine learning and AI across all of these Adobe Cloud product lines. This platform will enable thousands of applied researchers, millions of users, and billions of content pieces. The objective is to make machine learning offerings a world-class, leading-edge, differentiating product in Adobe Cloud ecosystem. We match the pace, innovation and excitement of a startup, backed by the resources and infrastructure of Adobe! We’re looking for machine learning engineers to develop the Sensei platform, transfer the newest technology from Adobe Research to realization in products, innovate in discovering new ML use cases and product features, and encourage best practices in machine learning application across Adobe. In this role you will write code to harvest data from a wide variety of Adobe applications and data sources to construct training sets for ML models across Adobe's flagship creative applications such as Photoshop, Illustrator, Lightroom, and Premiere Pro. The corresponding ML capabilities will translate into novel and surprising product features in our applications. The training sets will be made by fusing disparate data from machine-learned analysis of images and videos, provenance and history of these assets, and fine-grained user behavior analysis. In this job you will become expert in all the various creative and behavioral datasets across Adobe, where the data lives, what the data means, and how to find it, extract it, and combine it using production-quality code and rigorous data standards. Responsibilities: Develop ML platform code to query Adobe content and data repositories Work with ML scientists to design schemas for training sets that fuse data from multiple such repositories Craft production-quality code to craft, manage, and update these ML training sets Participate in the experimental development of novel ML models using the data you have built Qualifications: MS in Computer Science (or related field – Physics, Math, Statistics, Bioinformatics), PhD nice to have, or equivalent experience 3+ years of applicable experience in industry Pragmatic orientation to building solutions that work in the field self-starter attitude toward data wrangling Experience with Spark, Hadoop, SQL and NoSQL databases. Hands on experience with Java, Python, and/or C++. Nice-to-haves: exposure to ML, computer vision, training set construction At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unusual Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status. At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists . You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age , sexual orientation, gender identity, disability or veteran status." Data Scientist,"Rockville, MD 20850","Bright MLS, Inc","SUMMARY: The Bright Data Scientist is responsible for setting direction and driving strategic and innovative data and market analytics for Bright MLS. As the first and principal Data Scientist within the organization, the incumbent will have the unique opportunity to influence decision making working closely with product, technology and Bright's senior leadership to: ESSENTIAL JOB FUNCTIONS: Guide in the creation of a real estate information Data Lake, ingesting large quantities of structured and unstructured data from marketplace activities (listings; showing appointments; emails; property views; narrative; consumer, agent and customer support feedback; images, etc.) Conduct market and business operation research (advanced analysis, story-telling, visualization, predictive modeling) to identify trends in the data that create opportunities to drive transformative change, actionable insights and business value Assess the effectiveness and accuracy of new data sources and data gathering techniques Collaborate with product management and engineering departments to research subscriber and company needs and devise possible solutions that empower subscribers, improve customer service levels or advance operational efficiency Immerse themselves in understanding the industry; and evangelize and educate on how AI, ML and deeper use of data can strengthen our subscriber's position in the marketplace, while also strengthening the leadership position of Bright in the industry Effectively hypothesize, test and communicate ideas and results (positive or negative) to key stakeholders at all levels of the organization Leverage product data to make product development recommendations that are included in the product life-cycle roadmap Work in a SAFe Agile and cross functional team environment, understand organizational and team goals and generate appropriate, collaborative analytical insights to drive process improvementREQUIRED QUALIFICATIONS: 4-6 years of experience in Data Science Strong analytics skills Strong NLOP / NLU experience needed Experience in applying statistical learning methods to solve business problems with a balance between strategic thinking and actual hands-on analyses General Concepts: Machine Learning, Deep Learning, Data Lake, Data Warehouse, Data Visualization, Data Ontology, Business Intelligence, Data Mining, Digital Analytics Tools and Databases: AWS Data Lake and supporting tools, MYSQL, Oracle, SQL Server, Talend, Teradata, Hadoop, MongoDB, S3 as an object store Ability to explore, test, verify and report on data programmatically (with or without defined API's) using one of the following or similar languages: Python, R Experience with any of the following a plus: AWS Glue, Athena, Elastisearch and Glacier Experience with SiSense or other data visualization tools (Tableau, MS Power BI) a plus Knowledge of security best practices and government compliance Self-motivated, self-starter with the keen ability to work independently as well as with others Strong presentation skills with the ability to present complex analyses and insights in simple terms to any size group Experience in a leading technology company Strong quantitative background with Bachelor's degree in Computer Science, Math, Economics, Physics, Engineering or related field Excellent written and communication skills and can-do attitude is a must Highly professional and collaborative conduct across teams with clients a must" Data Scientist,"Phoenix, AZ 85009 (Maryvale area)",Lighthouse,"Duties & Responsibilities Research, design and prototyping of scalable machine learning techniques for classification, recognition and matching, and attribute extraction in order to answer key business problems Develop value propositions, identifying new business opportunities for data Determine the right set of statistical and machine learning algorithms and techniques needed to solve different data problems, while maintaining security and privacy of data Advocator of predictive modeling and analytics throughout the corporation as a technical expert. Provide technical recommendations regarding buy vs. build decisions for different components of the data analytics infrastructure Articulate business opportunities using mathematical techniques to arrive at an answer using available data for modeling. Job Requirements PhD or MS in a quantitative discipline (e.g. Statistics, Bioinformatics, Computational Biology, Computer Science, Applied Mathematics, or equivalent practical experience) with 5+ years’ experience in Data Science, data analysis or related field Demonstrated history of driving and delivering analytics models and solutions to offerings in the market Knowledge of software engineering principles like running tests at scale, test driven development, CI/CD and Agile Development. Deep knowledge of fundamentals or machine learning, data mining and statistical predictive modeling, and extensive experience applying these methods to real world problems Track record of developing and implementing models using programming and scripting languages (Python, Scala/Spark), familiarity with cloud native technologies (e.g. Azure, AWS, GCP) Expertise working with both structured and unstructured data in industry standard toolsets. (e.g. MSSQL, T-SQL, PostgreSQL) Experience developing and productizing end-to-end data-driven solutions." Data Scientist,"Washington, DC",U.Group,"About U.Group U.Group is an advanced technology and creative design company radically focused on using customer-centric innovation to create new opportunities in the public and private sectors. Working collaboratively out of offices in Arlington, VA, Washington, DC, Portland, OR, and in the heart of the action at client sites—U.Group delivers best-in-class digital services, powerful data platforms, augmented reality solutions, integrated marketing strategies, bundled services, and more. To learn more, visit www.U.Group. Role Summary Data Science at U.Group is dedicated to designing and engineering advanced data processing and analytics tools to drive the next generation of decision-making. You will join a diverse interdisciplinary team designing and integrating augmented intelligence capabilities into products and services. Our goals and ambitions are bigger than any one individual. As such, you will join a collaborative team where our knowledge and strengths are complementary. We emphasize cooperative education, where we continually expand and refine our craft. Your talent in software development will be just as important as your understanding of databases, statistics, and machine learning. Your creativity and ingenuity will be needed to solve challenging problems. Ultimately, you will be part of a broad team geared towards delivering quality products and services to our clients, communicating and collaborating with engineers, economists, marketing strategists, and designers, to name a few. Citizenship Status: US Citizenship required and have resided in the U.S. for three of the past five years. Location: DC Metro Region | Arlington, VA | Portland, OR | Indianapolis, IN Clearance: Ability to obtain public trust or higher Objective 1: Plan, develop, and maintain data processing pipelines, algorithms, and machine learning models for products and services. Design, document, and communicate data processing pipelines to support efficient analysis, modeling, and data science operations. Implement, integrate, and test data processing pipelines. Deploy and monitor data processing pipelines in production environments, including deploying within cloud environments such as AWS. Leverage continuous integration and delivery systems to deploy high quality software to a production environment. Objective 2: Plan, develop, train, and maintain advanced analyses, artificial intelligence systems, and/or machine learning models for products and services Design, document, and communicate requirements for AI and machine learning models to be embedded within larger projects. Implement, integrate, and test AI and machine learning models. Train, deploy, and monitor AI and machine learning models in production environments, including deploying within cloud environments such as AWS. Track performance of AI and machine learning models as they operate within larger projects. Objective 3: Perform exploratory data analysis and communicate insights to customers and the product team. Collect, transform, and combine varied, messy, or unstructured data into consistent inputs, independently of any larger project or process. Compute statistics of, identify key features of, and extract key insights from cleaned, collected data. Produce demonstration visualizations, summarize key insights, and create reports from cleaned, collected data. Objective 4: Collaborate with cross-functional delivery teams that include data engineers, experience designers, engineers, project management, and customer stakeholders. Use and upgrade shared templates and tools to build and optimize our products into innovative industry leaders. Support efforts of fellow data scientists, engineers, visualizers, and architects. Collaborate directly with customers to problem solve and prototype potential solutions based on defined requirements. Communicate AI, machine learning, and data modeling concepts and entity relationships to peers and customer partners. Objective 5: Provide Subject Matter Expertise for team growth, business development activities, and solution strategy development. Assist stakeholders, including the Data, Product, Program, and Executive teams, with data-related technical issues and support their data science needs. Consistently report status of work to project and account management. Provide expert opinion and knowledge to project and account management, as well as business development efforts. Life at U.Group We encourage our colleagues to lead balanced lives. Our comprehensive benefits include medical, dental, vision, disability, wellness programs, flexible spending, 20 days paid time off, and paid holidays. We also offer: Flex Time and Remote Work Options Education reimbursement program Fitness Reimbursement Transit/parking subsidy program Parental Leave Policy Professional Development Program 401(k) with Company Match EQUAL EMPLOYMENT OPPORTUNITY – Our policy is to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, we will provide reasonable accommodations for qualified individuals with disabilities. U.Group shall abide by the requirements of 41 CFR §§ 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals on the basis of protected veteran status or disability, and require affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified protected veterans and individuals with disabilities." Data Scientist II,"O'Fallon, MO",MasterCard,"The Brighterion Data Science team is responsible for creating deep learning Artificial Intelligence (A.I.) and Machine Learning (M.L.) models using the Brighterion Software suite: iModel, iLearn, iMonitor. The models generated are production ready and created for a broad range of verticals (financial, healthcare, IoT, etc.). The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes are designed to scale, to be repeatable, resilient and industrialized. You will be joining a team of Data Scientists working on innovative A.I. and M.L. models and engaging in fast execution projects, from 8 to 14 weeks. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech, investment banking, biotech, healthcare, and insurance. We are pursuing a highly motivated individual with strong problem solving skills to take on the challenge of structuring and engineering data and cutting-edge A.I. model development processes and technologies. Role As a data analyst you will: Maintain and organize tools for data transfer, mining, cleaning/processing, and validation Provide structured, quality data for downstream enrichment and modeling, and recommend ways to improve data quality and efficiency Develop, test, and improve data processes and architectures Work with multiple disparate sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling All About You Essential Skills: Data engineering experience Experience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Netezza. Good knowledge of Linux / Bash environment Experience in Python Good communication skills Highly skilled problem solver At least an undergraduate in Data Engineering, CS, or STEM related field. Masters preferred Nice to have: Experience in multiple scripting languages and storage systems Programming Language: Java Understanding of the importance of data organization and security Detail oriented, efficient, strong work-ethic Loves working with error-prone, messy, disparate, unstructured data Can lead design efforts for improving data storage and processing, and possibly future efforts to transition to cloud storage Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. If you require accommodations or assistance to complete the online application process, please contact reasonable.accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly." Data Science Intern,"New York, NY","Remedy BPCI Partners, LLC.","Data Science – Summer Intern How will this role have an impact? Signify Health is seeking a Summer Intern for its Data Science team. Our goal is to predict adverse health events of commercial and Medicare patients using historical and current EHR (Electronic Health Record) data. This data presents unique challenges from statistical, data and machine learning point of view. This role will report to our VP, Data Science What will you do? Implement new algorithms using Python and linear algebra operations Use knowledge of statistical distribution families, linear algebra, regression, generalized linear models, maximum-likelihood estimation and Python to read and translate into code relevant scientific research papers We are looking for someone with: Understanding of statistics, parametric distributions and empirical parameter estimation from data Ability to code in Python Ability to read science literature that contains algorithm descriptions in matrix form and translate these algorithms into code Desire to learn application of Python or Spark in order to leverage parallel computing on Big Data Desire to learn application of mathematical models (that go beyond simple import of Python packages) in real application Strong listening skills to gather requirements and understand the technical and non-technical barriers to project completion An interest in learning about healthcare data and technology and how it’s applied in a professional setting Expected graduation date in 2021 Program Perks: All our internships are paid! Potential opportunity for full-time position following graduation Mentoring throughout the summer in preparation of Final Presentation Group volunteer opportunity at local non-profit organization Weekly Lunch & Learns with executives throughout the company Buddy Program for socializing and guidance throughout the summer Networking opportunities at all levels of the companyAbout Us: Signify Health partners with leading health plans, healthcare providers, biotechnology and pharmaceutical companies, and technology companies to improve the quality of life by providing comprehensive care where and when it's needed most. In addition, Signify Health delivers software and services that enable payers, employers and at-risk providers to organize and finance healthcare delivery around a patient’s episode of care. With an innovative logistics and clinical workflow technology platform, exhaustive data set, and an unparalleled national clinical network, the company provides tech-enabled care services to vulnerable populations within the routine of their daily lives to improve health and quality of life. Signify Health delivers its services to partners at more than 1,000 healthcare locations nationwide and serves well over one million health plan members each year, providing health risk evaluations, complex care management, outcomes-based pharma services, and specialized medical services in the home and other convenient locations. Signify Health has multiple offices in Texas with additional locations in Connecticut, New York and South Dakota. To learn more, please visit www.signifyhealth.com." Data Analyst - Scientist,"Bethpage, NY",PSEG,"Requisition ID: 55914 Job Function/Category: Information Technology Employment Type: Exempt Full Time This is an exciting time to be joining PSEG. Our commitments, which include safety, integrity, customer focus, and diversity & inclusion, are the fabric of our culture and help drive the success of our business. We are fortunate to have an outstanding workforce of diverse and highly skilled talent who move us forward in our operational excellence journey. PSEG has more than 12,000 employees who are dedicated to the communities we serve and embody our vision: People providing Safe, Reliable, Economic and Greener Energy.Summary: The Senior Data Analyst will be the lead data strategist for the Enterprise Data Analytics platform collaborating with the business stakeholder to develop data-driven solutions for solving business challenges. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, including visualizing dashboards, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their databased insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.Required Education, Skills and Competencies: BSc/BA in Computer Science, Engineering or relevant field Minimum 8 years of experience using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Experience using business intelligence tools (e.g. Tableau) for visualizing and various data frameworks (e.g. Hadoop) Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications This position requires driving to company locations and off-site assignments and events, applicants must possess a valid driver’s license with a safe and satisfactory driver history.Preferred Education, Skills and Competencies: Graduate degree in Data Science or other quantitative field. Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc. Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience with AWS cloud services (Glue, Athena, Sagemaker, Quicksight, Redshift, etc.RSRPSEGAs an employee of PSE&G or PSEG Long Island, you should be aware that during storm restoration efforts, you may be required to perform functions outside of your routine duties and on a schedule that may be different from normal operations. This site is strictly for candidates who are not currently PSEG employees. PSEG employees must apply for jobs internally through empower which can be accessed through the mypseg homepage by clicking on the employee center tab, then under the empower header, choose careers. Business needs may cause PSEG to cancel or delay filling position at any time during the selection process. Certain positions at the Company may require you to have access to Part 810-Controlled Information. Under the law, the Company is limited in who it can share this information with and in certain circumstances it is necessary to obtain specific authorization before the Company can share this information. Accordingly, if the position does require access to this information, you must complete a 10 CFR Part 810 Export Control Compliance Nationality Request Form, a copy of which will be provided to you by Talent Acquisition if an offer is made. If there is a need for specific authorization, due to the time it takes to obtain authorization from the government, we will likely not be able to further proceed with an offer. Public Service Enterprise Group (PSEG) is an equal opportunity employer, dedicated to a policy of non-discrimination in employment, including the hiring process, based on any legal protected characteristic. Legally protected characteristics included, race, color, religion, national origin, sex, age, marital status, sexual orientation, disability, or veteran status or any other characteristic protected by federal, state, or local law in locations where PSEG employs individuals." Environmental Data Scientist,"Monterey, CA",General Dynamics Information Technology,"Travel Required: Less than 10% Requisition Type: Regular Successful candidates will Demonstrate extensive knowledge and experience in formulating complex problems and developing and testing of efficient algorithms to tackle NP-hard problems. Have deep knowledge of the principles, methods, and state-of-the-art techniques used in data science, operations research, and decision support, including statistical inference, correlative analysis, machine learning, dynamic programming and approximate dynamic programming. Lead, plan, conduct, and document research on algorithm development for a portfolio of sophisticated and novel environmentally-based mission planning decision aids. Possess in-depth knowledge of Python and MATLAB languages, and the ability to program and work in the UNIX and LINUX operating system environments. Demonstrate the ability to communicate effectively both orally and in writing, with experience in writing theses, scientific journal articles, or manuals. Basic qualifications: Advanced degree in Computer Science, Statistics, Operations Research, or related disciplines. Preferred qualifications: At least 2+ years of relevant experience in government and/or industry is preferred. Experience working with Navy decision support systems is a plus. At least 2+ years of relevant experience in machine learning backends or API, such as TensorFlow, PyTorch, Keras, or similar. We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done. GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Data Scientist - EMEA Advanced Analytics,"Waltham, MA",McKinsey & Company,"QUALIFICATIONS Experience and knowledge of modeling techniques in statistics, econometrics, and/or optimization Experience in mathematical software, databases, programming languages, and comfortable working with large data sets (R/SAS/Python/SQL or others) University degree with focus on quantitative methods/ econometrics/ statistics/ mathematics or related degree programs Excellent analytical and problem-solving skills, including the ability to independently disaggregate issues, identify root causes and recommend solutions Prior experience in a multi-national environment (as an asset) Ability to work collaboratively in a team environment and with people at all levels in an organization Skills to communicate complex ideas effectively, both verbally and in writing, in EnglishWHO YOU'LL WORK WITH You’ll work with our EMEA Advanced Analytics group in Wroclaw, co-located with our Knowledge Center colleagues. As a member of this team, you’ll work with McKinsey clients and consulting teams to carry out complex data analysis and modeling, creating a foundation for sound recommendations for client studies and internal projects.WHAT YOU'LL DO Leveraging your expertise in analysis and methodology, you’ll take part in projects with our clients and consultants by creating complex mathematical and economic models. You will develop prototypes in R, SAS, Python, SQL, Excel, conduct statistical analyses. You’ll often be responsible for the entire analytical process — from task definition to the implementation and interpretation of results to the delivery to the client. You’ll collaborate with McKinsey consultants and with clients, discussing the results constructively in continuous search of the best possible solution. You will gain insights into many industries, methodologies, and management topics on an ongoing basis. You'll contribute to knowledge development through special projects, both with client teams and on a stand-alone basis." Applied Scientist,"San Ramon, CA",Dialpad,"What makes conversations great? Is it the degree of empathy or connection, measured by the mirroring of speech rate or speaking pitch between participants? Is it the balance of give and take, inferred by talk/listen ratios, word reuse and interruptions? If tackling these questions with science fascinates you, please read on! Who we are At Dialpad, we're a team of doers. Founded by the creators of Google Voice, our team focuses on personal excellence, high-quality execution and building best-in-class software. We like to think outside the box... and when that doesn't work, we reinvent it. We don't settle for the status quo, and that's reflected in everything we build. With $120 million in funding from ICONIQ Capital, Google Ventures, Andreessen Horowitz, Scale Ventures and other top VC's, Dialpad attracts top talent from iconic companies like Microsoft and Google as well as powerhouse startups like Hootsuite, Weebly and Anaplan. Every member of our team plays an essential role in creating dynamic products that combine design and mobility-- while also working with you whenever productivity strikes. About Us Joining our team means collaborating with people that aren't just passionate about their work but about Argentine tango, musicals, sushi burritos, comic books - you name it. Because if you're going to redefine the status quo, you need a group of people hungry to do more, to see more, and be more than where they started. There is no idea too crazy and no task too small — we work together to make things we're proud of. About the Role: We are looking for a scientist passionate about understanding what makes communication great. You will have large amounts of proprietary data at your fingertips: voice audio, transcripts (ASR), linguistic events (NLP) and the outcomes of sales conversations. You will work closely with the Speech and Natural Language Processing teams to understand how to use the outputs of their state-of-the-art computational linguistics and machine learning models into your analyses to answer questions like: What kinds of questions distinguish effective, senior sales people from junior sales people? Can we tell which customers are genuinely interested? When is someone talking too much, or over someone else? What jargon leaves customers confused? You'll join an ""insights"" team that helps users deeply understand their conversations and make decisions about strategy, team coaching, and self-improvement with never-seen-before insights. Many of your findings will become dashboards in our flagship Sell product. We want to usher in a new wave of intelligent conversation metrics and feedback loops, designed to help individuals thrive, to replace the simplistic metrics like call volume that sales teams and call centers rely on today. Ultimately, some of these insights will apply far beyond sales, to enrich each of the millions of daily voice calls and video conferences on Dialpad. What the job entails: A typical day in your work life might involve any of the following: Data management (acquiring data & building data pipelines, cleaning data) Deep data exploration & ideation (reviewing voice data, articulating scientific hypotheses) Generate more hypotheses by reviewing the scientific literature, discussing with experts on our AI/linguistic teams, and reading customer interviews Data analysis (writing queries, coding up science papers, hypothesis testing) Effectively communicate results with stakeholders and customers Who we're looking for The ideal person has excellent critical thinking skills, great attention to detail, a strong sense of ownership and collaboration, and a strong technical background. You also have a proven track record of getting deep into voice data, ideating scientific hypotheses and testing them. Requirements:Masters or PhD in the sciences 2+ years of professional experience as a data scientist, data analyst, or similar Excellent organizational, analytical, and research skills History of delivering impactful insights Formal coursework in statistics and up-to-date knowledge of hypothesis testing Strong SQL skills and proficient python coding skills Proven experience working on the full data stack Experience translating papers into code Strong communicator and excellent collaborator Flexible with regards to changing priorities & business needs Pragmatic attitude and ability to deliver incremental value Strong sense of ownership, initiative and helpfulness Bonus points for:Background in the Behavioral Sciences or Communication Sciences Experience or exposure to Machine Learning techniques, Linguistics, Natural Language Processing or Speech Recognition Publications in scientific journals Experience working with audio Experience with B2B sales and support scenarios If you're inspired by innovation and you like working with a smart, talented, generally awesome team, we'd love to hear from you! Compensation & Equity Teamwork makes the dream work. We recognize that our dedicated team members are what make our success. That's why we offer competitive salaries in addition to stock options. Healthcare An apple a day keeps the doctor away - and it doesn't hurt that we offer 100% paid medical, dental, and vision plans for all employees. Reimbursements We offer a monthly stipend to help cover your cell phone, home internet, and even gym membership costs. Education We believe in your future as much as you do! That's why we offer a yearly stipend for continued learning and education expenses. Office Meals Bon Appetit! Enjoy catered lunches, free snacks & drinks (both healthy and unhealthy - no judgment!) Location, Location, Location San Francisco San Ramon Austin Raleigh Vancouver Kitchener Tokyo New York Bangalore. From coast to coast, our offices are nestled in active and growing downtown areas Dialpad is an equal opportunity employer; we believe in creating a community of inclusion and an environment free from discrimination or harassment." "Data Scientist, Energy Platform","Houston, TX",Shell,"The Role Where you fit in Shell New Energies focuses on two areas: new fuels and power. New Fuels consists of investments in hydrogen, biofuels, and electric vehicle charging. In Power, we are building up positions across the full electricity value chain, including in renewable generation, retail energy, distributed energy resources, power trading and marketing, and grid services. Within these focus areas, we look for ways to connect customers with new business models for mobility and energy services, enabled by digital technologies and decentralization of energy systems. Development of our IoT platform for Shell New Energy will be paramount in achieving these goals.What’s the role? Energy Platform Team The Energy Platform team is a nimble, cross-functional, deeply technical and passionate group that embodies the speed and agility of a startup while embracing the scale of one of the largest companies in the world. Achieving a balance between agility and global scale provides unique opportunities, and the Energy Platform Team borrows from best-in-class product development, continuous delivery, and commercialization techniques while adapting them to the unique global context within Shell. The Energy Platform team is empowered to coordinate and align Shell’s energy management platform objectives, strategies, and execution approaches across the company, as well as to design, deliver and maintain a mission critical component of Shell’s ability to deliver differentiated products, offerings and capabilities across its expanding global footprint.Accountabilities: Builds, on a daily basis, machine learning and deep learning models, optimizing for deployability and scalability of methods. Have exceptional skills in statistics and machine learning applied to timeseries analysis (ARIMA, GARCH, BSTS, as well as probabilistic methods for ML/DL) Is familiar with applications of distributed compute for ML/DL and has working knowledge of containerized workflows. Are comfortable with a fast pace build, test, ship ML/AI workloads into production under a common API. Has experience abstracting custom APIs for machine learning methods in training and inference. Are eager to work with a cross functional team of energy markets analysts, software developers, ML engineers, to translate business case solutions into new features inside the Energy Platform. Have a passion for implementing ML/DL solutions for real-time inferencing over Asset Telemetry data; and is comfortable applying modern Deep Learning techniques to Time Series data. Are a maniac for data & model quality, provenance and lifecycle management, supporting an MLOps centric culture within our Data Science and Engineering teams. Eager to design, implement and delivery frameworks and workbenches for model building and serving within Energy Platform that enables cross function collaboration. Proven history of working with large scale model optimization and hyperparameter tuning, applied to ML/DL models. Requirements What we need from you. Must have legal authorization to work in the US on a full-time basis for anyone other than current employer Bachelor's degree in a relevant technical discipline. Familiarity with timeseries modeling for financial and electricity market. 3+ years of experience with demonstrable proficiency in one or more mainstream opensource Machine Learning/Deep Learning frameworks: Tensorflow, Torch, Pyro, Keras, Scikit, Statsmodels. Proficiency with Containerized environments and workloads. Experience with object-oriented/object function scripting languages: Python, R, Go, C++, Scala, etc. Excellent analytical, problem-solving, and troubleshooting skills. Care deeply about performance, accessibility and API design. Company Description Shell is a global group of energy and petrochemical companies with about 84,000 employees across more than 70 countries. We aim to meet the world’s growing need for more and cleaner energy solutions in ways that are economically, environmentally and socially responsible. We have expertise in exploration, production, refining and marketing of oil and natural gas, and the manufacturing and marketing of chemicals. As a global energy company operating in a challenging world, we set high standards of performance and ethical behaviors. We are judged by how we act and how we live up to our core values of honesty, integrity and respect for people. Our Business Principles are based on these. They promote trust, openness, teamwork and professionalism, as well as pride in what we do and how we conduct business. Building on our core values, we aspire to sustain a diverse and inclusive culture where everyone feels respected and valued, from our employees to our customers and partners. A diverse workforce and an inclusive work environment are vital to our success, leading to greater innovation and better energy solutions.An innovative place to work There’s never been a more exciting time to work at Shell. Everyone here is helping solve one of the biggest challenges facing the world today: bringing the benefits of energy to everyone on the planet, whilst managing the risks of climate change. Join us and you’ll add your talent and imagination to a business with the power to shape the future – whether by investing in renewables, exploring new ways to store energy or developing technology that helps the world to use energy more efficiently.A rewarding place to work Combine our creative, collaborative environment and global operations with an impressive range of benefits and joining Shell becomes an inspired career choice. We’re huge advocates for career development. We’ll encourage you to try new roles and experience new settings. By pushing people to reach their potential, we frequently help them find skills they never knew they had, or make career moves they never thought possible. Disclaimer Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Royal Dutch/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell participates in E-Verify. All qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, protected veteran status, citizenship, genetic information or other protected status under federal, state or local laws. Shell is an Equal Opportunity Employer - Minorities/Females/Veterans/Disability." Research Associate/Jr. Data Scientist,"Baltimore, MD 21205 (Middle East area)",Lieber Institute For Brain Developement,"Description:A little about us: The Lieber Institute for Brain Development (LIBD) was conceived from the realization that a new approach is needed to fully exploit the unprecedented opportunities to accomplish the critical goal of helping affected individuals and their families. The LIBD aims to transform the research landscape in two ways: by providing new tools for scientific discovery and by developing new collaborative approaches to achieve our ambitious mission. The mission of the Lieber Institute for Brain Development is to translate the understanding of basic genetic and molecular mechanisms of schizophrenia and related developmental brain disorders into clinical advances that change the lives of affected individuals. The Lieber Institute is located in the Bioscience Park on the campus of the Johns Hopkins School of Medicine and Hospital. Job Summary: Dr. Qiang (Danny) Chen at Lieber Institute for Brain Development is seeking a Research Associate / Junior Data Scientist who is interested in bio-statistics and bio-informatics. Why you should work for us: The Lieber Institute understands that attracting the highest caliber talent means offering an exciting job and benefits in a state of the art location that meets one’s personal needs. In order to attract a diverse group of talented, motivated, and innovative professionals, we offer benefits and resources designed to support you in creating the life and work style that brings your best to you, your family, and the Institute. To Apply: Interested applicants should submit a cover letter and curriculum vitae with the subject line “Research Associate / Junior Data Scientist”. EEOC Statement: The Lieber Institute for Brain Development is proudly an equal employment opportunity and equal professional advancement employer. Employment decisions at the Lieber Institute for Brain Development are based on merit, qualifications, and abilities. It is our policy that the Lieber Institute does not discriminate in employment opportunities on the basis of race, religion, color, sex, age, marital status, national origin or ancestry, citizenship, physical or mental disability, sexual preference/orientation or veteran status with regard to any position or employment for which the applicant or employee is qualified. Requirements:Duties and responsibilities: This position will focus on biomedical data analysis including statistical modeling, machine learning, and data mining. The successful applicant will have opportunity to be involved in projects for many cross disciplinary studies including neuro-imaging, genomics, RNA-seq, and behavior. Qualifications:Bachelor’s degree in Bioengineering, Bioinformatics, Biostatistics, Computer Science, or the related is required Master’s degree preferred Minimum of 3 years of relevant experience is required Proficiency in programming with Python, R, and Matlab. Experience with Perl, Java, C/C++ and TensorFlow is preferred Previous experience in neuroimaging or genetics is preferred Excellent problem solving skills Excellent written and verbal communication skills" Data Scientist,"Washington, DC",MOJA,"***An active Top Secret/SCI Full Scope Poly security clearance is mandatory for this position*** MOJA is seeking a Data Scientist to join our team! The sponsor seeks a Data Scientist who shall focus on the sponsor's business analytics, metrics collection, and analysis efforts to assist the sponsor's management team. Compile data analysis and reporting needs using deployed tools. Experience with analytic methods and methodological tools in one or more of the following areas: applied mathematics, probability and statistics, data modeling. Experience using Microsoft Excel for data manipulation; using formulas, look ups, pivot tables, etc. Experience with relational databases, ideally Oracle using SQL. Experience translating complex, technical findings into a narrative (i.e., tell a story with the data) in graphical, verbal, or written form. Experience using the scripting language Python. Experience working with diverse data types. Experience with version control systems, such as Git-hub. Experience with data science techniques or formal data science training. MOJA is an information technology and intelligence analysis company based in Northern Virginia that has been providing information management solutions since it's conception in 1995. We specialize in system integration, application development, network management, and intelligence analysis in support of the intelligence community and national level decision-makers. MOJA is a certified Veteran owned small business. Have Questions? Not ready to apply, but want to submit your resume? You can email us directly: hr@moja.net or call us at (703) 369-4339. MOJA benefits include: Health/Vision/Dental, Life/Disability, AFLAC & 401k. MOJA is a proud Certified Veteran Owned, Minority Owned company and an equal opportunity employer. MOJA is an e-verify employer. Visit our website: www.moja.net" Data Science Intern - Undergrad,"Sunnyvale, CA 94085",Proofpoint,"It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Become a Superhero-In-Training Would you like to apply cutting edge data science techniques to help protect the world against cyber threats? At Proofpoint, we work with unique data sets and craft peta byte scale solutions to help protect some of the most targeted people especially in fortune 500 companies. One of the things that makes our problem space so challenging is that dynamic nature of the threat landscape. We need to outsmart the threat actors and be two steps ahead of the game. This is where static rule based systems can’t keep up with the sheer number of threat features we deal with and we need smarter machine learning solutions to help tackle the problem. As a member of our team, you will be part of the design and development of new game changing solutions that would have a real impact on the next generation security solutions at Proofpoint. You Will: Analyze data to research and improvement classifiers Oversee creation of data sets for machine learning training/verification/testing Research improving and creating new models for improving classification Work with engineering to productionize models Develop methods to evaluation new machine learning models Your Current Super-Skills ML classification experience Your Superhero Profile You have the ability and interest in working full time (40 hours/week) onsite in our Sunnyvale office . You are currently pursuing an undergraduate degree (201 9 new college grads also eligible), and are successfully maintaining an above average GPA, preferably 3.0 or higher. This summer internship is scheduled to run for 11 weeks from June – August 2020 . Launch your #LifeAtPFPT As a customer focused and driven-to-win organization with leading edge products, there are many exciting reasons to join the Proofpoint team. We believe in hiring the best the brightest and cultivating a culture of collaboration and appreciation. Our interns are highly valued, and we strive to ensure all interns are provided with a meaningful work experience, as well as projects that are relevant to our interns’ interests. As we continue to grow and expand globally, we understand that hiring the right people and treating them well is key to our success! We are a multi-national company with locations in 10 countries, with each location contributing to Proofpoint’s amazing culture If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!" Senior Data & Applied Scientist,"Redmond, WA",Microsoft,"Analytics team in Azure Hardware Systems & Infrastructure division explores data from millions of hardware devices used in Microsoft Clouds. We provide data science, business intelligence, and data engineering services to internal cloud engineering and operations teams, and work on improving quality of Microsoft cloud services by applying data-driven changes to hardware and firmware.We are looking for a successful data scientist with extensive experience in machine learning and advanced statistical analysis in technology domain, expert-level knowledge of Python programming language and ML automation pipelines, capable of working with large volumes of discrete events, continuous telemetry, and configuration data. ResponsibilitiesConduct parametric and non-parametric statistical testing on hardware-related telemetry, events and configuration dataEvaluate applicability of machine learning techniques and methods to hardware service scenariosDevelop machine learning-based tools and solutions for hardware-related scenariosCollaborate with software, hardware and data engineering teams to develop end-to-end solutionsProactively learn new and existing data analysis best practices, methods and techniques QualificationsMS or PhD degree in data science, statistics, numerical methods or other math or ML-related areas3+ years of experience in doing statistical analysis and designing ML models in one or more of the following: casual inference, A/B testing, statistical significance in complex scenarios, pattern discovery, Markov chains, process analytics, neural networks and deep learning techniques in technology applications3+ years of expert-level Python programming for Statistical and ML applications3+ years of experience with data manipulation and exploration at scale (SQL, Azure Data Explorer/Kusto, Azure Data Lake). Good understanding of modern clouds, server architectures and their components (CPU, RAM, Storage etc.), integration with OS and cloud environmentGreat communication and presentation skills. Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work." "Data Scientist, Machine Learning","Durham, NC 27713",Metabolon,"Metabolon, Inc., is the global leader in revealing new biological insights through metabolomics, harnessing the power of its Precision Metabolomics™ Platform to provide biological insights of disease state and physiological reactions in the present time. The company offers scalable, customizable metabolomics solutions from discovery through clinical trials and product life-cycle management. Leveraging one of the world’s most diverse and rich patient data sets, Metabolon is equipped to deliver biologically relevant insights to address some of the most difficult and pressing questions in the life sciences, helping to accelerate research and product development success in the biopharma, population health, consumer products, wellness and academic research sectors. We are looking for a data scientist with a passion for modern machine learning approaches to extract insights from our growing collection of biological data and build production systems leveraging the resulting insights. Possible Projects Include: Metabolon’s coverage of the metabolite space is an order of magnitude greater than our nearest competitor. With this, we have assembled a large corpus of characteristics corresponding to the detection of individual metabolites. This role will leverage this curated data resource to improve the automation of metabolite detection. Metabolon’s instrument accuracy, reproducibility, and comparability are field leading. Nonetheless, current mass spectrometer analysis is limited to relative quantitation (ex. how abundant a substance is relative to something else). Our technical sophistication has allowed us to push the boundary of this limitation and approximate absolute quantitation (ex. the concentration of a substance in a mixture). This role will leverage our data to predict absolute concentrations (with corresponding confidence/distributional bounds). Coupled with our best in world metabolite coverage, this is a killer app. Metabolon’s historical data and continual integration with large cohort studies enable us to characterize phenotypes (ex. disease states) and their underlying metabolomic (and potential other -omics) sources to an unprecedented degree. This role will leverage their skills to extract meaningful structures (ex. an underlying structure which might consume a metabolic profile and output a “distance” to a disease state) in support of biological insights into fundamental questions of human health. Examples of Useful Experience: Excellent data scientists come from a wide variety of backgrounds. The list below is neither exhaustive nor completely required; if you can code and think your talents can help us, start a conversation even if not all the boxes below are checked. ML projects involving large, complex data sets Design and deployment of highly scalable ML architectures Custom performance monitors for models with autonomous improvement capabilities Conversant (can scale, design, and deploy) in Tensorflow, Pytorch, or equivalent Experience in advanced biological data analysis Experience integrating ML software with a professional software engineering team Metabolon offers a comprehensive benefits program including health, dental, disability and life insurance coverage, a 401(k) savings plan, and paid time off. Metabolon is an Equal Employment/Affirmative Action employer m/f/d/v EO 13201. Principals only, no agencies. We are not able to sponsor H1B candidates Metabolon offers a comprehensive benefits program including health, dental, disability and life insurance coverage, a 401(k) with matching savings plan, and paid time off." Senior Data Scientist,"San Diego, CA 92123 (Kearny Mesa area)",ResMed,"Digital Health Technology team powers digital experiences and engagement to enhance the lives of millions of people every day through connected care. We build, deliver and manage a portfolio of data management platforms and mobile offerings in support of our core businesses. We thrive on simple and elegant architecture and agility. You’ll be immersed in a dynamic high-growth environment and empowered to excel, take informed risks, and drive ingenuity across the enterprise. Let's talk about the team and you: The Senior Data Scientist will undertake applied research and development in the areas of data science and biomedical informatics, and outcomes research, using the latest technologies in machine learning and distributed computing. The platform and algorithms developed may be used in a range of diagnostic and therapeutic applications, such as sleep disorder breathing, chronic obstructive pulmonary disorder, and other respiratory disorders, as well as co-morbidities such as congestive heart failure and diabetes and chronic disease management. The Advanced Analytics team is headquartered in the United States and is focused on developing analytics solutions that will enable a data-driven approach to addressing business questions. This role will be a part of the Advanced Analytics team in San Diego, and collaborate with the global Advanced Analytics team in support of achieving global and regional business goals. Let's talk about Responsibilities: Research, customization, and development of statistical and machine learning algorithms to meet complex project requirements; tasks include defining hypotheses, executing necessary tests and experiments, evaluating, tuning, and optimizing algorithms and methods to specific situations. Analysis of big data for data-driven solution validation, evaluation, and technology innovation. Optimize data analysis processes and systems for better efficiency and maintainability. Leading sub-functional and small project teams. Mentoring and training more junior team members and serving as a best-practice resource for statistics and machine learning. Writing of documents that clearly explain how algorithms should be implemented, verified, and validated. Writing documents for use in the preparation of intellectual property and technical publications. Monitoring the literature of interest and industrial development trends, broadly in the areas of data analysis and machine learning. Understanding regulatory requirements, such as those mandated by the FDA. Working within the ResMed Quality system, standards and maintaining training requirements. Being ever mindful of the requirements of the wider market and ResMed stakeholders. Promoting safe working environment within OH&S guidelines Let's talk about Qualifications and Experience: Expert in statistical analysis methods, including analysis of variance, regression, time series analysis, survival analysis, etc. Extensive knowledge in machine learning fundamental theories and data mining technologies. Leadership and hands-on experience with the development of data analytics systems, including data exploration/crawling, feature engineering, model building, performance evaluation, and online deployment of models. Proficient with server-side programming in Python/Java. Hands-on experience in handling large and distributed datasets on Hadoop, Spark, Hive, Pig or Storm, etc. Strong database skills and experience, including experience with SQL programming. Knowledge in big data technologies, including cloud computing/distributed computing, data fusion, and data visualization. Experience in R programming. A background in or exposure to biomedical engineering, outcomes research, medical science or physiology. Good technical writing and presentation skills. Optimization of algorithm complexity vs. accuracy vs. implementation cost. Implementing robust software for use in research programs with a minimum of review and other formal processes A degree in Computer Science, Engineering, Statistics, Applied Mathematics, or related fields. Minimal 6 years' industry or academic experience in data science. Preferred Post-graduate research experience (Masters or PhD) in a field encompassing Data Science, Applied Statistics, Biomedical Informatics, or Outcomes Research. Relevant industry experience would be favorably considered. #LI-NF1 Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now!" Flood Data Scientist: Hydrodynamics,"Menlo Park, CA",One Concern,"One Concern is a Menlo Park-based benevolent artificial intelligence company with a mission to increase the global community's resilience to natural hazards. Founded at Stanford University, One Concern enables cities, corporations and citizens to embrace a disaster-free future, through AI-enabled technology, policy, and finance. By combining data science and natural phenomena science we are pursuing a vision for planetary-scale resilience, where everyone lives in a safe, equitable, and sustainable world. We are looking for Data Scientist specializing in Flood inundation modeling to join our team at One Concern. This role will work on development and improvement of models in real-time flood forecasting and computational fluid dynamics modeling. We work in a highly collaborative, challenging and exciting environment. Our engineering challenges are unique, so you should be comfortable stepping in uncharted territory and excited to create systems that can scale to all disasters and geographies. If you are problem solver, think out-of-the-box, love challenging yourself, and want to work for a cause, we would love to have you at One Concern. We are committed to a workplace that reflects the community we serve. We especially encourage women, people of color, and others who are underrepresented in the tech industry to apply. What you will do: Research and improve flood inundation models (1d, 1d-2d coupled and 2d hydrodynamic models) and seek for scientific and technological improvements Evaluate model predictions and quantify uncertainties between observed and predicted outcomes using statistical and GIS tools Collect, analyze and efficiently manage a wide variety of structured and unstructured data (such as river gauge, damage and loss data) used in the development and validation of catastrophe models Provide support on ad-hoc analysis and reports Must-haves: PhD (preferred) or Master’s degree in an engineering or science related field, including Civil and Environmental Engineering, Data Science, and Statistics. 2+ years of experience in the area of flood inundation modeling and flood forecasting/simulation 1+ year experience in quantitative analytics and/or statistics Strong drive to learn new topics and skills and to develop innovative products for our customers Good to have: Experience linking measurement data with process-based models (e.g. via data assimilation, calibration, optimization and/or performance testing) with a strong publication record is a big plus; Advanced experience with scientific computing in an interpreted language (e.g. Python, Fortran etc. and parallel programming in GPU) is a plus Understanding of MySQL, Postgres, relational databases etc. Perks and Benefits Market-competitive salary plus equity Comprehensive medical, dental, and vision insurance Daily lunches, and a fully-stocked kitchen Generous PTO policy Team off-sites Flexible working hours" Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Data Analytics Scientist,"Philadelphia, PA",Axalta,"Overview: THE COMPANY Axalta Coating Systems Ltd. (""Axalta,"" or the ""Company""), is a leading global manufacturer, marketer and distributor of high-performance coatings systems. With over a 150-year heritage in the coatings industry, Axalta is known for manufacturing high-quality products with well-recognized brands supported by market-leading technology and customer service. Over the course of the Company's history, Axalta has remained at the forefront of the industry by continually developing innovative coatings technologies designed to enhance the performance and appearance of customers' products, while improving the customer's productivity and profitability. Axalta's diverse global footprint of 50 manufacturing facilities, four technology centers, 47 customer training centers and more than 14,000 team members allows the Company to meet the needs of customers in over 130 countries. Axalta serves its customer base through an extensive sales force and technical support organization, as well as through approximately 4,000 independent, locally-based distributors. The Company's scale and strong local presence are critical to its success, allowing leverage of the technology portfolio and customer relationships globally while meeting customer demands locally. Axalta operates its business in two operating segments: Performance Coatings and Transportation Coatings, serving four end markets, including: Refinish, Industrial, Light Vehicle and Commercial Vehicle, across the following four regions: North America, EMEA, Latin America and Asia-Pacific. Primary Responsibilities: Axalta Coating Systems is seeking an Data Analytics Scientist that develops and implements data collection, analysis, and modeling systems for the large databases supporting Color research and development, primarily for the Automotive OEM and Refinish businesses. A “Large Database” is defined as one with incomplete data, hundreds of variables and hundreds of thousands of data entries, beyond the data-analysis capabilities of routine tools or non-expert scientists. The Data Scientist also works closely with the Global Color Technology R&D group as well as other R&D groups, advising and consulting on technical programs where the complexity exceeds that which can be handled by commonly used analysis tools. Additionally, the scientist will be an analysis resource to marketing, manufacturing, business and information technology. Technology delivery of Color for internal uses is primarily done through the Axalta Color System software. This large and complex system interfaces with multiple data sources including Ingredient, Manufacturing, Refinish Formula and Customer Formula Delivery systems. This position will work closely with global users of these systems as well as resources in the Color Science group and Color System support team and software, instrument or imaging suppliers to ensure the data is analyzed to provide valid technical/business actions. Other responsibilities are to consult on key technical and business applications which involve large quantities of complex data; examples include: Empirical modeling in applications such as color prediction modeling, property prediction modeling, and polymer structure property modeling. Business modeling, e.g. customer demand forecasting for production and inventory planning. R&D experiment design and analysis for complex projects. Database mining to evaluate color or quality system performance.The successful candidate will join Axalta’s Global Innovation Center (GIC) in Philadelphia, PA. The GIC group develops high performance coatings for the Transportation, Refinish, and General Industrial markets. Key Responsibilities: Applies leading-edge data analysis methods to the development and use of color data systems as well as to manufacturing, research or product design projects. Applies quantitative color and appearance measurements to analyze and interpret results. Develop physical and empirical property models of color and paint formulations. Networks with global business, marketing, manufacturing, technology and information technology personnel and participates in working teams of Global Color management. Consults on advanced analysis/statistics projects across the technical organization. Consults as needed on business-driven data analysis. Networks with external resources in academia, professional societies, suppliers and customers to gather and apply new data analysis methods which can be practically utilized in meeting technical and business objectives. #LI-GM1 Minimum Requirements: MS or PhD degree in Chemical Engineering, Physics, or related field with extensive research experience in application of data analytical methods to business and technical problems, including the practical ability to design data collection and apply data analysis tools. Experience in theoretical and empirical modeling, statistics, analytics systems development and implementation. Experience with physical modeling in chemical formulation environment desired. Experience with Color Technology data, systems and tools desired. Expertise in commonly used programming and scripting languages for data analytics (Python, Matlab, R, etc.) and database querying (SQL). Demonstrated ability to analyze large-scale databases leading to implemented actions for technical or business applications. Effective written and oral communications. Ability to work with cross-function teams as expert resource, developer or leader as needed. Early career from 0 to 3+ years of experience. Key Behavioral Competencies:Action and results oriented. Strong business acumen. Ability to take complex, disparate information and translate into executive summaries. Excellent organizational & relationship management skills. Ability to multitask and prioritize work in a self-directed capacity. Ability to balance the potentially competing needs of multiple customers in a matrix environment. Outstanding communication skills and ability to operate across countries, communicate and coordinate effectively across organizational boundaries. Ability to positively influence others, create a passion for excellence, and execute multiple projects while meeting customer expectations. Project Management knowledge and capability. “Please note that Axalta Coating Systems will not accept any candidate profiles sent unrequested and unsolicited by recruiting agencies. Axalta Coating Systems collaborates with preferred providers based on framework agreements and will not pay any fees to recruiting agencies without an agreement. Should Axalta Coating Systems receive a candidate profile form a recruiting agency with which there is no framework agreement, and should the respective candidate be considered or hire, this will not entitle the recruiting agency to claim payment or fees.”" Research Data Scientist,"Arlington, VA 22203 (Ballston-Virginia Square area)",Institute for Justice,"Do you want to use your data analytics skills to advance individual rights? The Institute for Justice, the national law firm for liberty, is seeking an entrepreneurial data scientist with one to three years of experience to join its Strategic Research (SR) team at its headquarters in Arlington, Virginia, as our Research Data Scientist. On the SR team, the Research Data Scientist plays a critical role by finding solutions to complex data problems, enabling our team to undertake more sophisticated research with large, often previously untapped data and new analytical tools. The Research Data Scientist works closely with team members to identify data needs and opportunities; find, design, clean, and organize data, including with custom solutions; determine project design; and present results to internal and external audiences. The Research Data Scientist’s primary duties and responsibilities include: Designing and building databases, data collection systems, data analytics, and other strategies that optimize our research team’s efficiency and quality Proposing solutions and strategies to novel project challenges, including appropriate database use and project design Extracting data from various sources, including websites and PDFs Using GIS software for data analysis and visualization Updating and maintaining existing SQL-based databases Collecting and organizing large datasets for research projects Acquiring data from primary or secondary data sources Organizing and storing those data in databases/data systems; this will include large structured and unstructured datasets and variables Undertaking preprocessing of structured and unstructured data; processing, cleaning, and verifying the integrity of data used for analysis Making datasets accessible to teammates by, for example, creating user frontends Identifying relevant data sources to mine for projects Serving as a resource to team members and other IJ colleagues Developing clear understanding of IJ’s mission and the research team’s work in order to identify research opportunities Clearly communicating internally (including with non-experts) about data challenges, solutions, and opportunities Helping translate complex data into insights our team can use Providing accurate time estimates and delivering high-quality work on time to keep large projects on track Presenting data, analysis, and findings to external audiences Applying data visualization techniques Describing research methods in publications, including reports, journal articles and possible affidavits in court Coordinating with web designers to present data online Required qualifications include: Bachelor’s degree and 1-3 years’ experience in a related field or equivalent professional experience Proficiency in SQL, R, data visualization tools, GIS, Python Experience with managing and analyzing large data sets, including noticing and correcting discrepancies to ensure accuracy Great communications and collaboration skills, as well as ability to work independently Strong problem-solving skills Exceptional attention to detail Ability to manage multiple projects and meet deadlines A drive to learn and master new technologies and techniques A passion for IJ’s mission Preferred qualifications include: Demonstrated applied statistics training and/or skills, such as calculating distributions, performing statistical testing, conducting regression analysis, etc. Facility with statistical programs like Stata or SPSS Ability to develop web-ready visualization (e.g. D3 JS library) Ability to write clear, compelling prose Compensation is commensurate with experience, and IJ offers superior benefits including medical, dental, vision and life insurance, retirement benefits and generous paid leave. To be considered, please submit a resume by clicking “Add Resume,” a cover letter using the “Add Cover Letter” feature and a writing sample under the “Add Portfolio” section. More about the Institute for Justice's SR Team: IJ’s Strategic Research team creates social science and policy research, but our studies don’t just sit on a library shelf collecting dust. We put our research to work by combining it with IJ’s unique brand of cutting-edge litigation, award-winning communications and top-notch activism and legislative outreach. Our studies have been cited by the White House and the U.S. Supreme Court, as well as leading news outlets nationwide. Our work has helped certify a victorious class action lawsuit against Philadelphia’s civil forfeiture machine, ensure the return of cash wrongfully seized by the IRS, roll back needless occupational licensing, dismantle speech-squelching campaign finance laws, and protect programs that empower parents to choose the best schools for their children." "Scientist, Data","Pittsburgh, PA",Giant Eagle,"Position Summary : Leverage advanced analytics, machine learning and data wrangling techniques to influence, shape and interact with our customers across marketing and merchandising. You will be responsible for mastering massive datasets across various data tools to develop and deploy predictive/prescriptive models that reaches millions of customers. You are a passionate individual with a knack for discovering solutions hidden in large data sets, working with a wide range of stakeholders, and building personalized experiences at scale. About Us :Experience Required: 3 to 5 years; 3+ Years experience with a Big Data Environment, preferably Azure; 3+ Years experience using web services: Redshift, S3, Spark, etc; Strong working knowledge of machine learning including, but not limited to regressions, decision trees, neural networks, gradient boosting, etc; Highly proficient in Python or R; Experience working with relational databases and SQL Required Training and Education: Masters Degree Statistics, Machine Learning, Data Science or another quantitative field major Travel Required: Regional - Daily, Less than 10% Job Responsibilities: Use predictive modeling to increase and optimize sales and revenue and personalize the customer experience. Mine and analyze data from internal databases to drive optimization and improvement of product development, marketing techniques and business strategies. Develop statistically significant Test and Learn programs to tests hypothesis and model output. Work across business units to identify and understand the right approach to solve business problems Develop processes and tools to monitor a model's performance." Data Scientist,"San Francisco, CA 94104 (Financial District area)","Grammarly, Inc.","The opportunity Grammarly empowers people to thrive and connect, whenever and wherever they communicate. More than 20 million people around the world use our AI-powered writing assistant every day. All of this begins with our team collaborating in a values-driven and learning-oriented environment. To achieve our ambitious goals, we’re looking for a Head of Enterprise Product Management to grow the user base and revenue for Grammarly Business by developing and delivering on a concrete multi-year product strategy. Over the past ten years, our product has proven to be tremendously valuable for teams and businesses, and our business-focused product is a direct way to deliver this value to our customers. This role will shepherd Grammarly’s next high-impact growth horizon, with an opportunity to build and ship product, hire and manage product managers, and meaningfully contribute to Grammarly’s audacious user and revenue growth goals. This is a senior leadership role reporting to the VP of Product.Your impact This is the first-ever Head of Enterprise Product Management role at Grammarly, and it’s ideal for someone who’s excited to develop and execute on comprehensive and impactful channel expansion as well as go-to-market and product strategy. You’ll do this by building new features, hiring and leading a team of product managers, and working cross-functionally with leaders across Grammarly’s Engineering, Marketing, Growth, and Sales teams. You’ll also collaborate with the VP of Product and Grammarly’s co-founders on product strategy, progress reports, and product ideation. In this role, you will have the opportunity to: Build and scale a major new channel and revenue stream for an established brand. Bring a beloved consumer brand to small businesses and enterprises. Help develop business value and messaging to entice enterprise use of Grammarly. Scale a new product category (AI-powered writing assistant) in B2B channels. Maximize Grammarly’s reach by effectively collaborating with Consumer Growth and high-touch Enterprise Sales teams. To achieve this, you’ll: Become an expert in Grammarly enterprise market and users, revenue projection model, and sales operations. Create the product strategy and vision. Develop a hiring plan for our product org and hire product managers for your team. Own product roadmaps and update these regularly with key hypotheses and milestones, determining the product and engineering needs to support these roadmaps. Establish relationships with key senior collaborators in the company, including Engineering, Marketing, Product, Data, and Design teams. We’re looking for someone who Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable. Appreciates complex and technical products, elegant user experiences, and how the product function impacts metrics and growth. Has experience developing and owning key product metrics/indicators that map directly or indirectly to company performance. Is able to analyze and pull meaningful insights from both quantitative and qualitative data. Has a successful track record managing top-performing product teams and the ability to match individuals to roles that cater to their talents. Can develop and execute on a prioritization framework to effectively seek out the essentials and say no to the non-essentials. Has the ability to build strong relationships with direct reports and with peers across the company. Support for you, professionally and personally Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback. A connected team: Grammarly builds products that help people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs. Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package that includes superior health care. We also offer ample and defined time off, catered lunches, gym and recreation stipends, admission discounts, and more. We encourage you to apply At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Grammarly is an equal opportunity employer and participant in the U.S. Federal E-Verify program." Intern - Machine Learning & Data Science,"Cambridge, MA",Philips,"Job Title Intern - Machine Learning & Data Science Job Description Intern- Machine Learning & Data Science – Cambridge, MA- 2020 Are you interested in an Intern opportunity with Philips? We welcome individuals who are currently pursuing (or have recently completed) a graduate (MS) degree to participate in 3- to 6-month paid intern opportunities at our sites across the US. Through these roles, you will gain meaningful, hands-on experience workingf for a HealthTech company. In this role, you have the opportunity to Contribute to novel algorithm development using our large, in-house healthcare datasets. You are responsible for Data curation and developing machine learning models for therapy decision support Evaluating and validating model results on test datasets Summarizing and reporting results in the form of a scientific paper and presentation. You are a part of Large team of data scientists, computer science and biomedical engineers who work on building machine and deep learning-based tools to enable clinicians to anticipate patient needs and make better care decisions. To succeed in this role, you should have the following skills and experience Current Ph.D. or M.S. candidate in Computer Science, Biomedical Engineering, or Statistics Proficient in machine/ deep learning Experience in working with SQL databases & Apache Spark Knowledge of Python programming language. Ability to work independently, as well as part of a team Good communication & presentation skills In return, we offer you You’ll have the opportunity to work with one of the strongest research labs in the world and deliver solutions that will have a direct impact on patient care. You will be part of a dynamic environment and a flexible team of highly skilled professionals who are able to find an excellent work-life balance. Just think that the solutions you develop will give a better balance to the healthcare professionals and patients they are treating. Why should you join Philips? Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 3 billion lives a year by delivering innovative solutions across the health continuum. Our people experience a variety of unexpected moments when their lives and careers come together in meaningful ways. To find out more about what it’s like working for Philips at a personal level, visit the Working at Philips page on our career website, where you can read stories from our employee blog. Once there, you can also learn about our recruitment process, or find answers to some of the frequently asked questions. It is the policy of Philips to provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, color, citizenship, disability or perceived disability, ethnicity, gender, gender identity or expression, genetic information, marital or domestic partner status, military or veteran status, national origin, pregnancy/childbirth, race, religion, sexual orientation, or any other category protected by federal, state and/or local laws. Philips is an equal employment opportunity and affirmative action employer Disability/Veteran. As an equal opportunity employer, Philips is committed to a diverse workforce. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants that require accommodation in the job application process may contact 888-367-7223, option 5, for assistance. Contact If you forgot your password, you can click the Forgot Password button on the Sign In screen to reset it. If you have any other questions regarding the recruitment process please refer to our FAQs. In case of technical difficulties with the website, please send an email to careersite@philips.com.(Note: To ensure fairness and legal compliance in our recruitment processes, only technical issues will be monitored through the above inbox. Please do not submit resumes or applications to this email, as they will not be reviewed. Only applications received through the online application process will be considered.)" Junior Data Scientist,"Tysons, VA",Logistics Management Institute,"Overview: This position is embedded within our Data Analytics practice. Leverage your curiosity and problem-solving skills to explore, discover, and predict patterns contained within data sets for a wide range of government clients. This includes the derivation of clear narratives that help our clients understand their data and how those insights address research questions. Responsibilities: Frame and scale data problems to analyze, visualize, and find data solutions. Manipulate common data formats, including comma-delimited, text files, and JSON. Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools. Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to research questions. Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting. Qualifications: Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline Experience working with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn) Experience creating meaningful data visualizations and interactive dashboards such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics; additional preferred qualifications include working with unstructured text and natural language processing Superior communication skills, both oral and written Applicants for this position may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Please note that only US citizens are eligible to obtain security clearances." Data Scientist,"San Jose, CA",Jabil Circuit,"At Jabil, we empower the brands who empower the world – it’s our reason for being and the guiding force that’s driving us to become the most technologically advanced manufacturing solutions provider on the planet. Whether we’re serving one of the world’s biggest and best known brands or the coolest tech startups, our resolve never wavers. We share common desires with these brands: to make the world a better, safer and cleaner place. JOB QUALIFICATIONS KNOWLEDGE REQUIREMENTSAdvanced Statistics, operations research/ management, mathematics or business analytics with experience, courses, or project work in an analytic methods such as linear, mixed linear, constraint programming, modeling, simulation, time series analysis, pattern recognition, queuing theory, multivariate analysis, and other various predictive analytics techniques Strong written and verbal communication skills and the ability to work effectively in teams and under pressure. Multi-lingual capability is a plus. Ability to draw conclusions from data and prescribe actionable and measurable activities. Highly motivated and creative, thinking “out of the box”. Familiarity with non-relational data frameworks (aka NoSQL, eg. Hive). Experience with Apache Pig, Spark systems. Strong team mentality, interpersonal and communications skills Preferred working directly with management and executives Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identify, age, disability, genetic information, veteran status, or any other characteristic protected by law." Data Scientist,"Oakland, CA",Ask Media Group,"We are looking for a Data Scientist to join our Data Science Products team--a team whose mandate is to solve complex data science problems with engineering solutions optimized for consumer-facing applications. The data science product team plays a key role in Ask Media Group's business, owning projects from ideation to production, and collaborating with our engineering teams to build scalable solutions. We have mountains of language and user-interaction data that we use to drive breakthroughs both in performance marketing and the creation of engaging search and content experiences. As a member of the team, you will collaborate across the organization within a culture that values pragmatic solutions. -------------- Qualifications -------------- You're a great fit for this job if you have the following qualities: You have broad knowledge that you apply in new contexts, and you eagerly learn new technologies to help drive solutions You are pragmatic - you choose simplicity over complexity You are a collaborator and put team first - you take pride in the team's success You are strong communicator You are helpful in a bi-directional way - you do not shy away from offering and asking for help at the right time You are flexible and thrive in a changing environment You are tenacious, and continue working on a problem even in the face of setbacks. We are also looking for these skills and experience:You have deep understanding of topics in data science and machine learning. You are able to quickly prototype ideas and solve complex problems by adapting creative approaches. You are a capable developer who can provide production quality data science solutions. You have extensive experience in Python and using Python's data science stack. You are a strong collaborator and communicator who is comfortable working with data scientists and software engineers within the team and outside the team. You have minimum 3 years of experience in a relevant field (Machine Learning, Natural Language Processing, Information Retrieval, Text Classification). You having a Ph.D. in a relevant field is a bonus. You have experience in or have a desire to learn Hadoop/Spark related Big Data technologies. You have experience in or have a desire to learn Apache-Solr. ---------------------- Additional information ---------------------- We have some of the greatest benefits such as: flexible vacation for salaried employees, medical/dental/vision options, pet insurance, 401(k) matching, commuter subsidy, tuition reimbursement, charity gift matching, huge discounts to wireless/gym/travel/much more. Our office has free snacks, catered lunch, in-house massage chair, and more. More importantly – we know how hard you work so we celebrate that hard work often. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status." Data Scientist CE Data Analytics,"Framingham, MA 01701",Bose,"Responsible for mining, analyzing, and modeling large structured and unstructured datasets, and applying advanced statistical predictive models and leading machine learning algorithms to solve business questions. Creatively translate business problems into a subset of data science problems that leverage appropriate methodology (e.g., classification, regression, probability estimation, etc.), evaluate the results rigorously, and transform the results into insights and recommendations that are clearly communicated to the business. Identify and leverage appropriate tools/techniques. Work with data systems professionals to develop the infrastructure and format for new data sources so they can be leveraged and analyzed. Champion and educate the business and product owners on ways to extract value from data that can be collected from our products or externally. Bose is an equal opportunity employer that is committed to inclusion and diversity. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. For additional information, please review: (1) the EEO is the Law Poster (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf); and (2) its Supplements (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm). Please note, the company's pay transparency is available at http://www.dol.gov/ofccp/pdf/EO13665_PrescribedNondiscriminationPostingLanguage_JRFQA508c.pdf. Bose is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the application or employment process, please send an e-mail to Wellbeing@bose.com and let us know the nature of your request and your contact information." Agronomic Data Scientist,"Johnston, IA 50131",Corteva Agriscience,"Description Corteva Agriscience™ has a rich history of scientific discovery that has enabled countless innovations. We’re looking for more people, in more places, to collaborate with us to create a market-shaping, agriculture company with leading positions in seed technologies, crop protection and digital agriculture. We need Soil, Plant, or Agronomic Data Scientists to collaborate with visionary crop scientists, agronomists, plant breeders, and engineers to build digitally enabled science and business capabilities. Are you looking for an opportunity to use your data science skillset to contribute to our team and help us on our mission!? In this role, you will: Drive science focused solutions that to create digital ag capabilities and products to enhance value and efficiency for researchers, collaborators, and customers. Participate in the application of data science solutions for Corteva’s seed, crop protection, and digital product platforms. Identify, acquire, and engineer feature data sets and pipelines with potential to address customer needs. Apply machine learning, statistical or mechanistic models and other computational approaches to extract insights from datasets in complex agronomic systems. Develop, prototype, and implement data pipeline and software solutions with engineering and production teams. Conduct and communicate results of research on data science approaches to improve decisions, add value to services, extend or improve in-house models and algorithms, and contribute to the advancement of these ideas into the marketplace. Uphold Corteva Agriscience™ Core Values at all times. Qualifications Demonstrated experience using machine learning, data mining, statistical methodology, or simulation modeling in agronomic, breeding, environment, or digital ag problems. Outstanding problem-solving skills and a proven ability to independently deliver analytic solutions by asking the right questions, finding or applying the correct domain knowledge, identifying necessary data sources, building predictive models, and producing actionable results. Proficiency in Python or R. Experience with geospatial and remote sensing data. Familiarity with cloud based or HPC systems and computation in linux. Strong skills in building visualizations of scientific data. Proven ability to work in a team setting and ability to complete complex projects on time and in budget. Superior communication skills, both verbal and written. An M.S. or PhD and demonstrated experience with quantitative applications in Soil, Biogeochemistry, Hydrology, Agronomy/Plant Sciences, Geography, Ecology, Climatology or related fields. Or conversely, you have an M.S. or PhD in Computer Science, Physics, Mathematics, or Statistics with demonstrated Data Science applications in Agronomic or Natural sciences. What will generate excitement: Experience in digital agriculture Product focused experience NOTE: This requisition is posted with the anticipation of multiple data science positions becoming available during the year. WE" Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Data Scientist, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of environments (including various databases, Linux servers, and Hadoop). You’ll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment.Expected Qualifications: Bachelor’s degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree strongly preferred 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analytics Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc. Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc. Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) Excellent communication skills Passion for extracting hidden insights and building machine learning systems that enhance business outcomes About GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Data Scientist, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of environments (including various databases, Linux servers, and Hadoop). You’ll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment.Expected Qualifications: Bachelor’s degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree strongly preferred 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analytics Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc. Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc. Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) Excellent communication skills Passion for extracting hidden insights and building machine learning systems that enhance business outcomes About GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Jr. Data Scientist,"New York, NY",Iovate Health Sciences International Inc.,"If you are a highly motivated individual with a passion for health & wellness along with a commitment to excellence, we want YOU! Iovate is the maker of the MuscleTech, Six Star and Hydroxycut family of products and the leader in the active nutrition, weight management and health supplements industry!Due to our rapid growth and our vision to be the #1 active nutrition and weight management supplement company in the world, our company has several career opportunities for passionate, hardworking, and dedicated individuals and we are looking for people like you to join our team!Our Jr. Data Scientist will be a critical player with the newly launched digital transformation team at Iovate. This role, based in New York City and reporting to the VP, Data Science and Analytics, will work closely with analytics and business leaders to harness the vast amount of data collected by Iovate since its inception as a competitive advantage. Initially concentrating on data centralization and storage best practices, our Data Scientist will work to drive actionable customer and consumer insights, operational efficiencies, high quality marketing and sales analytics, and prediction systems utilizing a variety of techniques, including but not limited to: statistics, machine learning, data mining, decision tree, and artificial intelligence. By allowing our large-scale data to speak to business leaders, you will help to drive change and process throughout the Iovate ecosystem.Accountabilities:Work on complex data sets to solve real world problems.Participate in the design, development and evaluation of innovative models, data science products and solutions for internal clients as well as for our digital innovation team.Building and extending Iovate’s third party data sets as necessary.Working with various internal stakeholders to enhance and our data collection procedures to include information necessary for analytical purposes.Process, cleanse and verify the integrity of our data and data systems.Participate in the design, testing, and maintenance of all data science related products.Assist with and develop automated processes for large scale analytic products and prediction.Maintain all Data Science code base that you contribute in GitHub so that our ongoing analyses are repeatable and verifiable.Provide consultation on best practices in experimental design and serve as a thought leader within the organization as to how we measure results.Core Competencies:Bachelor’s degree in Computer Science, Mathematics, Data Science, Statistics, Econometrics or other quantitative field with significant scripting needs required.At least one year of experience in utilizing data science and analytics techniques to business problems.Master’s degree in a relevant quantitative field preferred.Expertise in SQL, and familiarity with noSQL databases like MongoDB or DynamoDB preferred.Significant experience coding in R and Python required. Familiarity with dplyr, GGPlot, Pandas and other data manipulation packages will be a significant benefit to the successful candidate.Experience utilizing standard Web API’s (Facebook, Google, etc) for the purposes of ingesting data highly desirable.Experience with OLS, MLE, Machine Learning, Decision Tree/Random Forest, and AI.Culture:Located in New York we offer a dynamic, progressive, team-based environment. We offer a comprehensive benefits package and the opportunity to grow with us. For further information please visit us at www.iovate.com.Iovate Health Sciences international Inc. is an equal opportunity employer and is committed to ensuring an inclusive and accessible work environment. If you require accommodations to fully participate in the recruitment and selection process, please contact the Iovate Human Resources team to make an accommodation request. Any information received relating to accommodations will be treated as confidential.We appreciate applicant interest in this position, however, due to the volume of submissions, the Iovate Human Resources team will only contact candidates selected for an interview.Job Type: Full-time" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Staff Data Scientist,"San Diego, CA 92112",Intuit,Intuit is hiring a Staff Data scientist to focus on our Consumer Tax Group. We are looking for exceptional talent that can improve the bottom lines of our TurboTax offerings. Senior Data Scientist,"Fort Lee, NJ 07024",TRANZACT,"How the Position WorksThe Data Scientist reports to the VP of Data Science and Analytics and is responsible for gathering data, conducting analysis, building predictive algorithms and communicating findings to drive profitable growth and performance across Tranzact.The Data Scientist must have a strong grasp on the data structure, business needs, and statistical and predictive modeling.They must be comfortable gathering, manipulating, and utilizing large sets of data to solve business problems.Prior work experience in creating predictive models to be utilized in automating operations is a plus.The specific responsibilities of the Sr. Data Scientist include;Gathering data from various parts of the organization and third parties / online resourcesProcessing, cleaning, and verifying data integrity for analysisSelecting features, building and optimizing prediction models (classifications and regressions)Completing ad-hoc analysis and presenting results clearlyConceptualizing how prediction models can be utilized in an automated systemWhat you need to be successfulBachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Minimum 5 years of experience building predictive algorithms in industryExcellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.Ability to communicate findings clearlyFluency with R or Python for statistical modeling and machine learningProficiency with a query language such as SQLExperience with data visualization tools (Tableau, Power BI, etc.)Experience with big data platform (i.e. Hadoop)Expert in Microsoft ExcelCuriosity and ability to be objectiveStrong organizational skills including time and project managementThrives in a fast-paced environment that is constantly changingWhat we would LOVE to see!Masters or PhD in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)Finance, Insurance, Call center, Marketing or Sales industry experienceExperience developing predictive models for business and implementing them in an automated fashionExperience working with unbalanced datasetsGood programming skills (C#, JavaScript, etc.)Experience managing or mentoring other data scientist is a plusJob Type: Full-timeSalary: $90,000.00 to $125,000.00 /yearExperience:building predictive algorithms: 3 years (Required)Work authorization:United States (Required)" "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40" Data Scientist,"Jackson, MI",Pacific Data Integrators,"PDI provides services across all verticals and continues to grow as a leader across every sector of data management, from Big Data to Data Science. Our team’s talent is what sets us apart from our competitors and we continuously seek out the foremost talent of the technology community to give you the best result possible.__**At the moment we are hiring for a Data Scientist for our client located in Jackson, MI.ResponsibilitiesWork with stakeholders (business, IT, other) to generate hypotheses and create segmentation and models that achieve actionable and predictive business outcomesGather, analyze, and model data and key performance indicators to develop quantitative and qualitative business insights via statistical and other analytical modelsIdentify new data sources and evaluate emerging technologies and analytic trends for data discovery and visualizationWork with data engineers and IT to support the integration of data from multiple internal and external sources to be used for analytics and AI modelsEnhancing data collection procedures to include information that is relevant for building analytic systemsClearly communicate insights and recommendations to stakeholder groups (from entry level employees to senior executives)Processing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear mannerProvide guidance on the modeling approaches and technology for customer analytics and insights teamDrive overall advanced analytics and AI vision and road-mapBecome the go-to person for customer analytics within the companyWill be part of the customer analytics scrum teamFunction as a mentor to newer employeesSkills and QualificationsBachelor’s degree Data Science, Computer Science, Mathematics, Statistics, Economics, Engineering, Operations Research. Will consider relevant work experience in lieu of an advanced degree5+ years overall business experience5+ years’ experience in data science, statistical analysis and modelling data using leading Artificial Intelligence and big data tools (e.g. TensorFlow, R, Python, Hadoop, Spark, RapidMiner, Tableau, etc.)These skills may set you apart:Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, Random Forests, Neural Networks, etc.Applied statistics skills, such as distributions, statistical testing, regression, etc.Advanced knowledge of Artificial Intelligence software and experience in data processing & engineering (e.g. SQL)Strong communication (written and oral) and storytelling skillsComfortable in pushing conventional thinking to drive change and innovationSelf-starter and intellectually curiousPassion for AI and advanced analyticsAgile mindset and scrum team experience is a plusAdvanced degree (PhD preferred) in Data Science, Computer Science, Mathematics, Statistics, Economics, Engineering, Operations Research. Will consider relevant work experience in lieu of an advanced degree.Job Types: Full-time, Temporary, ContractEducation:Doctorate (Preferred)Contract Length:1 yearFull Time Opportunity:Yes" Senior Data Scientist,"Palo Alto, CA",Noodle.ai,"Come create a world of radical efficiency… a world without waste. We're in the right place, at the right time, with the right team. At Noodle.ai our mission is to create a world without waste. Our products, in turn, focus where the waste is – the global network of factories and supply chains that makes and moves things. We think traditional rules-based software is failing business leaders, so we work with our customers to leverage advanced techniques in artificial intelligence (ex. machine learning, deep learning, optimization, predictive modeling) to do things like improve product quality, optimize the manufacturing schedule, improve fill rates and optimize product distribution. Solving these problems gives our customers a competitive advantage while also decreasing the wasted energy, excessive CO2 emissions, and wasted resources caused by supply chain and manufacturing inefficiencies. We've found a way to make leaving a positive impact on the world profitable... and that is an impact that can scale. As a Senior Data Scientist, you will develop mathematical, AI-based, or other analytical models to help solve a business problem and take the models into production. You will leverage your strong coding skills to productionize code that implements the models and algorithms. In addition, you will contribute to the vision for the product functionality of our applications, design of the overall modeling approach, determining the best modeling techniques and algorithms to use, and collaborating with a cross-functional team to develop and deploy the application. Job responsibilities:Model real-world problems as data science / analytical problems Implement a breadth of different modeling approaches/ techniques in predictive modeling, optimization, statistical modeling and analysis Design and run experiments to support the determination of the most appropriate algorithm or technique to apply to the problem at hand Productionize modeling / analytical code and interface with industry standard software systems Iteratively conceptualize, design and build data-driven analytical models to support identified application functionalities as part of product development for our applications Develop processes and tools to monitor and analyze model performance, data validity and accuracy Understand and manipulate heterogeneous data Communicate modeling results within the data science team and within the entire product development team Work with other data scientists, data engineers, software engineers, and UI designers in developing enterprise SaaS applications Your experience:4+ years of experience applying advanced AI-based and analytical techniques (machine learning, deep learning, reinforcement learning, predictive modeling, optimization, anomaly detection, forecasting, time-series analysis) to real-world problems Demonstrated ability to iteratively conceptualize, design and build data-driven analytical models Experience in coding AI-based or mathematical models (preferably software engineering experience/background) Strong experience with performance tuning of models and algorithms Experience manipulating and preparing large, heterogeneous data sets to support advanced analytics Strong capabilities in modern analytics languages/tools (python DS stack required, optional: SQL, pytorch, spark, hadoop) Experience managing timelines and staying accountable in an agile development approach Advanced degree in a relevant field (Data Science, Computer Science, Operations Research, Industrial Engineering, Statistics, Applied Math, or related) Domain expertise in manufacturing or supply chain management and experience with industrial AI is a big plus! The squishy skills… Comfortable being uncomfortable: You aren't afraid to make mistakes, take ownership of your mistakes, and lean into a challenge. Emotional intelligence and the ability to give and receive feedback conscientiously and assuming positive intent Ability to navigate ambiguity and problems where there is no single right answer. Experience with (and excitement for) interdisciplinary collaboration. This includes the ability to connect with people coming from many different areas of study, problem solving methodologies, and cultural backgrounds. Intellectual curiosity and the hunger and humility to always keep learning… and to share that learning. Resilience and the drive to persist – Even when you are faced with adversity in the form of tough timelines, a new domain, or uncharted territory. Want to help shape the future of Enterprise Artificial Intelligencetm? Let's noodle." Data Scientist - EMEA Advanced Analytics,"Waltham, MA",McKinsey & Company,"QUALIFICATIONS Experience and knowledge of modeling techniques in statistics, econometrics, and/or optimization Experience in mathematical software, databases, programming languages, and comfortable working with large data sets (R/SAS/Python/SQL or others) University degree with focus on quantitative methods/ econometrics/ statistics/ mathematics or related degree programs Excellent analytical and problem-solving skills, including the ability to independently disaggregate issues, identify root causes and recommend solutions Prior experience in a multi-national environment (as an asset) Ability to work collaboratively in a team environment and with people at all levels in an organization Skills to communicate complex ideas effectively, both verbally and in writing, in EnglishWHO YOU'LL WORK WITH You’ll work with our EMEA Advanced Analytics group in Wroclaw, co-located with our Knowledge Center colleagues. As a member of this team, you’ll work with McKinsey clients and consulting teams to carry out complex data analysis and modeling, creating a foundation for sound recommendations for client studies and internal projects.WHAT YOU'LL DO Leveraging your expertise in analysis and methodology, you’ll take part in projects with our clients and consultants by creating complex mathematical and economic models. You will develop prototypes in R, SAS, Python, SQL, Excel, conduct statistical analyses. You’ll often be responsible for the entire analytical process — from task definition to the implementation and interpretation of results to the delivery to the client. You’ll collaborate with McKinsey consultants and with clients, discussing the results constructively in continuous search of the best possible solution. You will gain insights into many industries, methodologies, and management topics on an ongoing basis. You'll contribute to knowledge development through special projects, both with client teams and on a stand-alone basis." Data Scientist,"Monterey, CA 93940",Market America Inc,"Market America- SHOP.COM is seeking a Data Scientist supporting our product, engineering, leadership and marketing teams with insights gained from analyzing company data. In this role you will be adept at using large data sets to find opportunities for product and process optimization. You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. You will be an NLP expert with proficiencies in applying Information, theory techniques for informational retrieval and relevancy scoring. Applying out of Box methodologies for increasing precision for search relevancies. Have a proven ability to drive business results with your data-based insights. You should be comfortable working with a wide range of stakeholders and functional teams. The ideal candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. What are the day to day responsibilities? Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. What skills will you need to be successful in this role? Strong problem-solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Additional Requirements for the role? We’re looking for someone with 4-6 years of experience manipulating data sets and building statistical models, has a Master’s degree or PhD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools: Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience analyzing data from 3rd party providers: Google Analytics, Adobe Analytics Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark Experience visualizing/presenting dataWe are proud to be an equal opportunity employer and we offer competitive salaries and benefits, including health, dental, vision, life, short and long-term disability insurance, and a 401(k) retirement plan with company match. #LI-KR1" Data Scientist,"Denver, CO 80202 (Lodo area)",Vertafore,"About the Vertafore Vertafore is a top provider of software for the rapidly evolving insurance industry. We create award-winning solutions to boost productivity, lower costs, and help agents and carriers grow their businesses. We respect and value our team, and we look to bring the best talent together to make our future even stronger.Our culture encourages employees who can create, think, and challenge each other in a fast-paced environment. We are transforming our products and services, using advanced techniques to create new “ways and value” for the insurance industry. About the Opportunity Analytics is central to Vertafore's vision of the future, and data scientists are a critical component of cutting-edge product innovation and research. As a data scientist at Vertafore, you will be responsible for finding signals in complex and industry-unique data sets, developing innovative data science models, and building the foundation of Vertafore’s data science team. In a typical week as a part of the Data Science Organization, you will: Identify opportunities for AI and machine learning in new and existing products Create new lines of revenue for the company in partnership with the product team Add value to our internal teams by optimizing business processes and decision making Opportunity You will develop analytical models in several applications: recommender systems, forecasting, measurement, customer segmentation, propensity modeling, NLP You will work with large and messy data sets to solve complex problems using cutting edge data science tools You will work across lines of business to drive real, measurable valueMinimum Requirements 2+ years of experience working with data sets and building statistical models Strong communication and interpersonal skills Passion for data and analytics Ability to quickly learn and execute Experience with: Exploratory Analysis Evaluating and Defining Metrics Building and analyzing dashboards and reports Deep understanding of data visualization best practice Knowledge of Tableau Expertise of SQL or other query languages Expertise of Python and tools such as Tensorflow, Keras, SciKit-Learn, Spark Knowledge of statistics (e.g., regression, causal inference) and AI (e.g., NLP) Bachelor’s degree or equivalent in a quantitative field such as Computer Science, Applied Mathematics, Engineering, or related fieldPreferred Requirements4+ years of experience working with complex data sets and building statistical models Master’s Degree in Data Science/Statistics Preferred Experience working with teams in dispersed geographies Vertafore is a drug-free workplace and conducts pre-employment drug and background screenings. The selected candidate must be legally authorized to work in the United States.The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all the job responsibilities, duties, skill, or working conditions. Duties, responsibilities and activities may change at any time with or without notice. In addition, this document does not create an employment contract, implied or otherwise, other than an ""at will"" relationship. Vertafore strongly supports equal employment opportunity for all applicants regardless of race, color, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, sexual orientation, genetic information, or any other characteristic protected by state or federal law." Data Scientist,"Auburn Hills, MI",WIT,"Now Hiring Data Scientist The Data Scientist is a role within the Business Analytics & Data Services department and reports through the CIO. They play a pivotal role in the planning, execution and delivery of data science and machine learning and AI based projects. The bulk of the work will be in areas of data exploration and preparation, data collection and integration, machine learning (ML) and statistical modeling. It is expected that successful candidates will be able to perform their job duties with little to no technical guidance. A bachelor's in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field [or equivalent work experience such as, economics, engineering and physics] is required. Alternate experience and education in equivalent areas such as economics, engineering or physics, is acceptable. Candidates should have 3+ years of relevant project experience in successfully launching, planning, executing] data science projects. Preferably in the domains of automotive/ manufacturing or customer behavior prediction. Coding knowledge and experience in several languages: for example, R, Python, SQL, Java, C++, etc. Knowledge and experience in statistical and data mining techniques: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc. Experience of working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others. Experience with distributed data/computing and database tools: MapReduce, Hadoop, Hive, Kafka, MySQL, Postgres, DB2 or Greenplum, etc. They must demonstrate the ability to work in diverse, cross-functional teams. Should be confident, energetic self-starters, with strong moderation and communication skills. Problem Analysis and Project Management: Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science Identify data-driven/ML business opportunities Collaborate across the business to understand IT and business constraints Prioritize, scope and manage data science projects and the corresponding key performance indicators (KPIs) for success Data Exploration and Preparation: Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA) Generate and test hypotheses about the underlying mechanics of the business process. Network with domain experts to better understand the business mechanics that generated the data. Data Collection and Integration: Understand new data sources and process pipelines. Catalog and document their use in solving business problems. Create data pipelines and assets the enable more efficiency and repeatability of data science activities. Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA) Machine Learning and Statistical Modelling: Apply various ML and advanced analytics techniques to perform classification or prediction tasks Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing Testing of ML models, such as cross-validation, A/B testing, bias and fairness Operationalization: Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options (Help to) integrate model performance management tools into the current business infrastructure (Help to) implement champion/challenger test (A/B tests) on production systems Continuously monitor execution and health of production ML models Establish best practices around ML production infrastructure Other Responsibilities: Train other business and IT staff on basic data science principles and techniques Train peers on specialist data science topics Promote collaboration with the data science COE within the organization. Twitter | Facebook | LinkedIn Thanks, Matheen https://www.linkedin.com/in/matheen-syed-272969/ Sr. Lead Global Talent Acquisition Recruitment WIT Inc. 900 Tower Drive, Suite 325 Troy, MI 48098 Email :matheen.syed@witinc.com Cell :248-703-2536 www.witinc.com https://www.witinc.com/staffing/" "Data Scientist, Analytics - Recruiting Products","New York, NY 10017 (Midtown area)",Facebook,"The mission of the Recruiting Products team is to empower Facebook to hire the best talent at scale. With thousands of recruiters using our products, millions of candidates in our database, and an intense competition for top talent, the product team is focused on helping the business achieve our recruiting goals through better operational efficiency and improved collaboration throughout the process. We build the products that help Facebook find and attract other builders. We are looking for a Data Scientist to help the team understand how the work of recruiting gets done at Facebook and how our products can make this work even better. This role works closely with the product and engineering teams, as well as leaders of our recruiting business, to identify problems and develop sustainable solutions. Successful candidates for this role will have a background in a quantitative or technical field, will have experience working with large data sets, and will have experience in influencing decision making across different teams through data. DATA SCIENTIST, ANALYTICS - RECRUITING PRODUCTS RESPONSIBILITIES Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products. Define problems and opportunities in a complex or ambiguous area. Partner with Product, Engineering, and Business teams to solve problems and identify new levers to improve user experience. Monitoring key product metrics, understanding root causes of changes in metrics. Influencing product teams through presentation of data-based recommendations, and clearly communicating state of business, experiment results, etc. to product teams. MINIMUM QUALIFICATIONS Advanced degree in Computer Science, Engineering, Math/Statistics, Physics, Economics, or equivalent practical experience. 7+ years experience solving analytical problems using quantitative approaches. Experience in SQL or other programming languages. Understanding of statistics (e.g., hypothesis testing, regressions, ML systems). Experience communicating the results of analyses with product and leadership teams to influence strategy. PREFERRED QUALIFICATIONS Experience in industrial-organizational psychology or operations research, particularly in an enterprise product environment Development experience in any scripting language (Python, R, etc.) Experience with distributed computing (Hive/Hadoop) Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com." Associate Data Scientist,"Grand Rapids, MI 49512",Daymon,"Summary Data Scientist At our Company, we grow People, Brands, and Businesses! We are seeking a highly dynamic Data Scientist to drive internal tool builds and predictive analytics capabilities to deliver data-driven insights that guide retail and Private Brand business initiatives. The Data Scientist will work cross-functionally with other team analysts, managers and directors to determine relevant tools that should be considered for build, with a focus on providing stand-out analytical solutions that will help drive the business of our customer base, while enhancing our value proposition in the industry. S/he is responsible for leveraging data from all available resources to build custom tools/models based on business needs, conducting ongoing optimization and testing, providing regular reporting and analysis, and suggesting and implementing opportunities for improvement of the model. Take this opportunity to join North America’s leading business solutions provider and build your career working with amazing people in a growing industry! Apply today! What we offer: Full-Time Benefits (Medical, Dental, Vision, Life) 401(k) with company match Training and Career Development Generous Paid Time-Off Responsibilities: o Responsible for designing, implementing, executing, and improving the company’s custom analytical solutions. o Possesses a thorough understanding modelling, including the needs of clients, the methodology by which a model is executed, and how it aligns with the company’s overarching business goals o Creates reports and gathers performance summaries and analysis for further optimization o Creates and articulates compelling value propositions o Communicates insights and successful performance impact to clients and account teams o Interfaces with internal teams to drive innovation, ensuring capabilities meet market needs and customer satisfaction goals o Works with a complex set of variables to understand patterns o Uses experience in statistical analysis to form new conclusions based on multiple data sets Qualifications: Master's Degree in Math, Statistics, Data Science, or related field or equivalent experience required; Ph.D. in Math, Statistics, Data science, or related field or equivalent experience preferred 3-5 Years of experience in Analytics with either a retailer or services provider with retail clients Knowledge of leading marketing analytic tools Experience in Search Engine Marketing, specifically with PPC programs; Experience with Google AdWords, Bing Ads, and Microsoft Office Suite A keen eye for detail. The role requires the ability to keep track of copious amounts of data across numerous accounts in a variety of ways. Following procedures exactly and being methodical is critical Experience with A/B and multivariate testingResponsibilities The Company is one of North America’s leading sales and marketing agencies specializing in outsourced sales, merchandising, category management and marketing services to manufacturers, suppliers and producers of food products and consumer packaged goods. The Company services a variety of trade channels including grocery, mass merchandise, specialty, convenience, drug, dollar, club, hardware, consumer electronics and home centers. We bridge the gap between manufacturers and retailers, providing consumers access to the best products available in the marketplace today. Position Summary: The Associate Data Scientist designs, implements and executes the company’s solutions. The Associate Data Scientist works with internal teams to deliver superior results for our clients. S/he is responsible for using data from our available resources to drive the company’s ROI. S/he is conducts ongoing optimization and testing, providing regular reporting and analysis, and suggesting and implementing opportunities for improvement. Essential Job Duties and Responsibilities: o Responsible for designing, implementing, executing, and improving the company’s custom analytical solutions. o Possesses a thorough understanding modelling, including the needs of clients, the methodology by which a model is executed, and how it aligns with the company’s overarching business goals o Creates reports and gathers performance summaries and analysis for further optimization o Creates and articulates compelling value propositions o Communicates insights and successful performance impact to clients and account teams o Interfaces with internal teams to drive innovation, ensuring capabilities meet market needs and customer satisfaction goals o Works with a complex set of variables to understand patterns o Uses experience in statistical analysis to form new conclusions based on multiple data sets Supervisory Responsibilities: Direct ReportsThis position does not have supervisory responsibilities for direct reports Indirect ReportsThis position does not have guidance or mentoring responsibilities for indirect reports Travel and/or Driving Requirements:Travel and Driving are not essential duties or functions of this job Minimum Qualifications The following are the minimum job-related qualifications which an individual needs in order to successfully perform the essential duties and responsibilities of the job Education Level: (Required): Master’s Degree or equivalent experience (Preferred): PhD in math, statistics, data science, or related field Or equivalent experience Field of Study/Area of Experience: Master’s Degree in math, statistics, data science, or related field 3-5 Years of experience in Analytics with either a retailer or services provider with retail clients Skills, Knowledge and Abilities: Knowledge of leading marketing analytic tools Experience in Search Engine Marketing, specifically with PPC programs A keen eye for detail. The role requires the ability to keep track of copious amounts of data across numerous accounts in a variety of ways. Following procedures exactly and being methodical is critical Experience with A/B and multivariate testing Ability to communicate complex data with clarity and simplicity Excellent problem-solving, analytical, and client-facing communication skills, with the ability to evolve the algorithm model and its strategy based on research, data, and industry trends Experience with machine learning and data mining algorithms Programming experience (preferably in languages such as Python and Java) Nice to Have o PhD in math, statistics, data science, or related field Environmental & Physical Requirements:Office / Sedentary Requirements: Work is performed primarily in an office environment. Office / Non-Sedentary Requirements: Incumbent must be able to perform the essential functions of the job. Work may be performed in an office or warehouse environment. Typically requires the ability to spend 66%+ hours each work day doing the following activities: stand for extended periods of time, walk, bend, stoop, or climb. May have possible exposure to dust, and may require the ability to lift and/or push up to 50 pounds 33% - 66% of the time. Additional Information Regarding The Company Job Duties and Job Descriptions Job duties include additional responsibilities as assigned by one’s supervisor or other manager related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. Any estimate, schedule, or guideline provided to associates in this job description or elsewhere in connection with their jobs is only intended to help describe job duties and for planning purposes. Regardless of any such estimate, schedule, or guideline, associates must always record all time worked for our company (which includes but is not limited to on-site work time in an assigned store, office, or other work location; required waiting time; administrative time; and work-related travel time). Important Information The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of associates so classified. The Company is committed to providing equal opportunity in all employment practices without regard to age, race, color, national origin, sex, sexual orientation, religion, physical or mental disability, or any other category protected by law. As part of this commitment, the Company shall provide reasonable accommodations of known disabilities to enable an applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law." "Data Scientist, Analytics - Community Integrity","Menlo Park, CA",Facebook,"The mission of Community Integrity is to minimize bad experiences for people on Facebook. We build reporting interfaces, classifiers, tools to facilitate human review, and checkpoints to help identify and remediate offensive content and abusive behavior. This role will focus on our enforcement tooling and platforms. Currently, we have a single platform which we leverage for all human review and another for taking action on content, profiles, pages and groups. The performance of these complex systems is critical to the success of our Integrity efforts, as an inability to effectively review or action problematic content prevents us from accurately mitigating risk. This role would involve evaluating the performance of our systems and identify ways to drive continuous improvement. DATA SCIENTIST, ANALYTICS - COMMUNITY INTEGRITY RESPONSIBILITIES Apply your expertise in quantitative analysis, data mining, data science, and the presentation of data to see beyond the numbers and understand how we can improve our enforcement systems with positive impact to the community. Influence product teams through presentation of data-based recommendations, and clearly communicate state of business, experiment results, etc. to product teams. Define problems and opportunities in a complex or ambiguous area. Monitor key product metrics, understand root-causes of metric variations. MINIMUM QUALIFICATIONS 5+ years of experience working in an analytics organization. Experience with SQL, ETL, R/Python. Experience working independently and as a member of a cross-functional team. Experience in querying and manipulating raw datasets for analysis. Communications experience and experience explaining technical concepts and analysis implications to varied audiences and experience translating business objectives into analyses. Experience with visualizations, dashboards, and reports. Experience with data modeling and statistical analysis techniques, including the following topics: hypothesis testing, model evaluation, classification, clustering, linear regression, decision trees, and GLM. PREFERRED QUALIFICATIONS Graduate degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, applied mathematics, physics, electrical engineering, industrial engineering) Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com." Sr. Data Scientist,"New Orleans, LA 70112 (Central Business District area)",Baker Hughes,"Baker Hughes Company is the world’s first and only fullstream provider of integrated oilfield products, services and digital solutions. Drawing on a storied heritage of invention, BH harnesses the passion and experience of its people to enhance productivity across the oil and gas value chain. BH helps its customers acquire, transport and refine hydrocarbons more efficiently, productively and safely, with a smaller environmental footprint and at lower cost per barrel. Backed by the digital industrial strength of GE, the company deploys minds, machines and the cloud to break down silos and reduce waste and risk, applying breakthroughs from other industries to advance its own. With operations in over 120 countries, the company’s global scale, local know-how and commitment to service infuse over a century of experience with the spirit of a startup – inventing smarter ways to bring energy to the world. Follow Baker Hughes Company on Twitter @BHCo, or visit us at BH.com. Roles and Responsibilities As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in Baker Hughes business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. In this role, you will: Develop analytics to address customer needs and opportunities. Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Share and discuss findings with team members. Required Qualifications Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math). A minimum 4 years of professional experience. Desired Characteristics Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets Demonstrated skill at data visualization and storytelling for an audience of stakeholders Technical Expertise: Demonstrated awareness of data management methods Demonstrated awareness of realtime analytics development and deployment Domain Knowledge: Demonstrated awareness of industry and technology trends in one or more sectors where Baker Hughes operates Demonstrated awareness of customer and stakeholder management and business metrics Leadership: Demonstrated skill at function in a team setting Demonstrated awareness of critical thinking and problem solving methods Demonstrated awareness of presentation and influencing skills Personal Attributes: Demonstrated awareness of how to succeed in ambiguous circumstances Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law." "Senior Data Scientist, Analytics Platform as a Service","Boston, MA 02109 (Downtown area)",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist uses advanced modeling techniques to help teams across Humana to transform high volumes of complex data into advanced analytic solutions. Responsibilities: The Analytics Platform as a Service (APaaS) Senior Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). The Senior Data Scientists pushes forward the strategic development of applications for machine learning by understanding Humanas corporate strategy and our customers core needs and prioritizing AI investments accordingly. The Senior Data Scientist executes the necessary AI/ML-driven initiatives necessary to deliver a complete solution to a stated business problem. Key Roles: Drives key initiatives & deliverables in data science application development & deployment in cloud-based environments. Acts as an external facing business partner whose combined expertise in technology and AI enable the development of custom APaaS solutions that meet key business customer needs Partners with project and product managers to assemble a cross-functional team of data scientists and technology experts to design and deliver an AI solution to meet a business need Partners with project and product managers to monitor the business impacts of advanced analytics deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency Required Qualifications: Bachelors degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)and 5+ years experience or Masters degree in a similar program and 3+ years experience Ability to build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope and delivery timeframes, driving on-time execution Working knowledge and experience in statistical analysis packages like Python and R Experience building and deploying Machine Learning models Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner Excellent interpersonal, verbal and written communication skills Ability to operate in both strategic and tactical environments, accommodating for global-level needs Preferred Qualifications: Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) Data Robot experience Azure (ML and AI) experience Experience analyzing, designing and implementing large scale business and performance management solutions Ability to leverage technology (e.g. SQL) to extract and manipulate data Additional Information: This role will be located in Boston or Louisville. Alternative work arrangements (telecommute, WAH, etc) could be considered for the right candidate. Scheduled Weekly Hours 40" OCR Data Scientist,"Boston, MA 02199 (Back Bay area)",iQuartic,"ResponsibilitiesThe Senior Data Science Engineer will work closely with the software engineering team and domain experts at IQuartic, leverage OCR and machine learning techniques to develop digitization software for medical record scans.You will bring the latest OCR and image recognition expertise from industry, implement new and improve existing software applications for: OCR, structure recognition of tables in document images, and handwritings. You will be responsible for following industry best practices: document, test your own code; coordinate with IQuartic’s operations team to benchmark performances and make improvements; assist DevOps in deploying production ready models into IQuartic’s existing microservices.RequirementsAdvanced degree in a quantitative discipline, e.g., Mathematics, Linguistics, Computer Science>3 years industry experience in applied NLP or Image Recognition>3 experience in a commercial software product development environmentDemonstrates proficiency with:· Software development using Java, and/or Python· OCR libraries such as Tesseract, PyOCR, OpenCV, .NET OCR SDK, etc.· Extracting, cleaning, preprocessing data sets. Familiarity with NumPy and Pandas· Supervised and unsupervised machine learning techniques. This includes regression, decision tree models, clustering, and deep learning. Hands-on experience with Scikit-learn, Tensorflow, Keras (Faster R-CNN), MXNet, or PyTorch· Extensive work experiences utilizing CNN, RNN, CTC, and LSTM· Data visualization and performing model diagnostics. Understand learning curves, work with tools such as Matpoltlib, Tableau, etc.· Familiarity with TableNet, DeepDeSRT, Graph Neural Networks, or cGAN/Genetic Algorithm· >3 years of experience working with production tools and frameworks such as Docker, Kubernetes, Kinesis or Kafka, Jenkins CI/CD, AWS or AzureExcellent verbal and written communication and interpersonal skillsExperiences with healthcare industry practices and medical coding a plus, but not requiredJob Type: Full-timeSalary: $120,000.00 to $180,000.00 /hourExperience:OCR (Optical Character Recognition): 1 year (Required)Application Question:Please describe your experience processing OCR (optical character recognition) dataAdditional Compensation:BonusesWork Location:One locationBenefits:Health insuranceDental insuranceVision insuranceRetirement planPaid time offFlexible scheduleProfessional development assistanceTuition reimbursement" Senior Data Scientist/Data Analyst,"San Jose, CA 95131 (North San Jose area)",Align Technology,"Join a team that is changing millions of lives. Transforming smiles. Transforming lives. Transforming an industry. At Align Technology, we believe a great smile can transform a person’s life, so we create technology that gives people the confidence to take on whatever’s next. We revolutionized the orthodontic industry with the introduction of the Invisalign system, and we have never lost sight of that spirit of innovation. Our teams are constantly pushing the boundaries of what’s possible. Ready to join us? About this opportunity The Sr. Data Scientist/Statistician will be part of the Product Innovation group at Align R&D works closely with our cross-functional teams in R&D, marketing, clinical, and operation teams. He/she leverages Align’s digital clinical database to develop and deliver data-driven insights, metrics, and recommendations to assist teams to drive the company’s product development roadmap to transform the orthodontic world with the Invisalign product. A successful candidate will be a strong analytical thinker with a solid statistical background to formulate critical technical hypothesis and drive complex analysis and innovation. In this role, you will… Act as the senior data analytics expert within R&D’s Product Innovation group, partnering with engineers from various backgrounds including biomechanics, materials, software, and clinical research Use state-of-the-art data science methods on the organization’s clinical data to generate insights for product development and innovation Develop a comprehensive understanding of the Invisalign products and operational procedures Convert abstract business inquiries into concrete analyses, including planning, execution and reporting Identify key data insights to answer critical business needs, prepare well-documented memos/presentations and share with internal/external stakeholders Be responsible for formulating study hypotheses and determining appropriate analytical methods and procedures, with minimal oversight, documentation, or defined process Work with management to improve statistical integrity, accuracy, and adequacy of the team’s deliverables Provide mentorship and guidance to other team members in regards to data analytics Build effective working relationships with upper management and cross-functional teams Work efficiently in a fast-paced environment and meet critical deadlines Multi-task and prioritize requests to meet the most important and urgent business needs In this role, you’ll need … MS or PhD in computer science, mathematics, statistics or related technical field Bachelors is computer science, information systems, or equivalent combination of education and experience MS with 6+ years of relevant industrial experience in data mining and statistical analysis, or PhD with 3+ years of relevant industrial experience (medical device or pharmaceutical preferred) Proven ability to tailor statistical methods to given application fields Proficiency with querying relational database (e.g. SQL) Proficiency with scripting languages such as R or Python Experience with business analytics tools such as Tableau, or Power BI Experience with machine learning Excellent understanding of machine learning techniques and algorithms Excellent oral and written communication skills, including the ability to explain complicated quantitative concepts to non-technical audiences and interact cross-functionally with both technical and non-technical people Sound like a good fit? Great! Click the Apply link below to let us know you are interested. Not the right fit? Don’t worry, there are lots more opportunities. Please consider sharing this opportunity with others in your network. About Align Invisalign clear aligners, iTero Intraoral scanners, and OrthoCAD digital services that help dental professionals achieve the clinical results they expect and deliver effective, cutting-edge dental options to their patients." Lead Data Scientist,"New York, NY 10001 (Chelsea area)",Macy's,"Job Overview:You’ll explore new business opportunities and partner with our most critical lines of business to find new ways to increase customer loyalty, drive sales growth, and improve the customer experience.As part of the Marketing – Data Science Group, the Lead Data Scientist will develop innovative analytical approaches to customer and targeting strategies. The Lead Data Scientist will create practical methods to understand customer health, forecast customer preferences, simulate business outcomes, and optimize major investments. The Data Scientist will work closely with cross functional groups to enhance analytical capabilities, identify new growth opportunities, and develop persuasive interactive visualizations. Perform other duties as assigned.Essential Functions: Answer complex business questions by using appropriate statistical techniques on available data or designing and running experiments to gather data. Adapt standard or develop novel applications of classification, forecasting, simulation, optimization, and summarization techniques. Work closely with cross functional teams to encourage best practices for experimental design and data analysis. Create compelling interactive visualizations and presentations to enhance decision making capabilities throughout the company. Regular, dependable attendance and punctuality.Qualifications:Education/Experience: At least one year of industry experience with Master’s or Ph.D. required in relevant technical field such as Applied Mathematics, Computer Science, Engineering, Physics, or Economics. Experience working with large data sets. Expert knowledge of analytical tools such as SAS, R, Matlab, or STATA and scripting languages such as Python, Perl, or PHP.Communication Skills: Excellent written and verbal communication skills. Ability to communicate complex quantitative analyses in a clear, precise, and actionable manner.Mathematical Skills: Basic math functions such as addition, subtraction, multiplication, division, and analytical skills.Reasoning Ability: Must be able to work independently with minimal supervision and make sound decisions.Physical Demands: This position involves regular walking, standing, sitting for extended periods of time, hearing, and talking. May occasionally involve stooping, kneeling, or crouching. May involve close vision, color vision, depth perception, focus adjustment, and viewing computer monitor for extended periods of time. Involves manual dexterity for using keyboard, mouse, and other office equipment. May involve moving or lifting items under 10 pounds. Other Skills: Strong passion for answering complex business questions using structured problem solving and rigorous data analysis. Curiosity and desire to learn about business needs and strategies from close collaboration with business partners such as the CRM, Marketing Effectiveness, and Customer Analytics teams. Familiarity with visualization tools such as Tableau, Looker or Spotfire. Familiarity with relational databases and SQL.Work Hours: Ability to work a flexible schedule based on department and company needs. This job description is not all inclusive. In addition, Macy's, Inc. reserves the right to amend this job description at any time. Macy’s, Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment." Agronomic Data Scientist,"Johnston, IA 50131",Corteva Agriscience,"Description Corteva Agriscience™ has a rich history of scientific discovery that has enabled countless innovations. We’re looking for more people, in more places, to collaborate with us to create a market-shaping, agriculture company with leading positions in seed technologies, crop protection and digital agriculture. We need Soil, Plant, or Agronomic Data Scientists to collaborate with visionary crop scientists, agronomists, plant breeders, and engineers to build digitally enabled science and business capabilities. Are you looking for an opportunity to use your data science skillset to contribute to our team and help us on our mission!? In this role, you will: Drive science focused solutions that to create digital ag capabilities and products to enhance value and efficiency for researchers, collaborators, and customers. Participate in the application of data science solutions for Corteva’s seed, crop protection, and digital product platforms. Identify, acquire, and engineer feature data sets and pipelines with potential to address customer needs. Apply machine learning, statistical or mechanistic models and other computational approaches to extract insights from datasets in complex agronomic systems. Develop, prototype, and implement data pipeline and software solutions with engineering and production teams. Conduct and communicate results of research on data science approaches to improve decisions, add value to services, extend or improve in-house models and algorithms, and contribute to the advancement of these ideas into the marketplace. Uphold Corteva Agriscience™ Core Values at all times. Qualifications Demonstrated experience using machine learning, data mining, statistical methodology, or simulation modeling in agronomic, breeding, environment, or digital ag problems. Outstanding problem-solving skills and a proven ability to independently deliver analytic solutions by asking the right questions, finding or applying the correct domain knowledge, identifying necessary data sources, building predictive models, and producing actionable results. Proficiency in Python or R. Experience with geospatial and remote sensing data. Familiarity with cloud based or HPC systems and computation in linux. Strong skills in building visualizations of scientific data. Proven ability to work in a team setting and ability to complete complex projects on time and in budget. Superior communication skills, both verbal and written. An M.S. or PhD and demonstrated experience with quantitative applications in Soil, Biogeochemistry, Hydrology, Agronomy/Plant Sciences, Geography, Ecology, Climatology or related fields. Or conversely, you have an M.S. or PhD in Computer Science, Physics, Mathematics, or Statistics with demonstrated Data Science applications in Agronomic or Natural sciences. What will generate excitement: Experience in digital agriculture Product focused experience NOTE: This requisition is posted with the anticipation of multiple data science positions becoming available during the year. WE" Machine Learning Engineer - Soccer,"Los Angeles, CA 90012 (Downtown area)",Second Spectrum,"Second Spectrum is building the next way of seeing sports. We deliver unique and innovative solutions through unparalleled capabilities in machine understanding of sports.We produce the most accurate tracking data with the fastest high-quality output by leveraging the most automated and extensible solution in the market. We are the official tracking and analytics partner of MLS, EPL and NBA. We also work with other top basketball and soccer (football) leagues and clubs around the world.We generate meaningful and accurate data in the language of sport. Nearly every team in the NBA and ESPN uses our analytics and video platforms.We create cutting edge software and communication tools so we can deliver personalized and interactive technologies for leagues, managers, players, media and fans that save people time and get them what they want in ways that previously did not exist.We launched an innovative product, Clippers CourtVision, which won an NBA Innovation Award and Best in Technology at the 2019 Sports Business Awards, and has subsequently been used by ESPN, Turner Sports, FOX, NBATV, and NBA League Pass among others. We are constantly innovating. We believe that technology will revolutionize the way that sports are played, coached, and experienced, and that the work to make this happen has just begun. What You Will Do: Second Spectrum is seeking a Machine Learning Engineer to join our AI group. At Second Spectrum, machine understanding of sports forms the foundation of all the products we deliver, which are used by coaches, broadcasters, and fans.Machine Learning engineers are involved in data extraction, developing state-of-the-art models/algorithms, training and evaluation. The primary focus area of this particular job opening is soccer. What You Have:Work experience (7+ years of direct, relevant experience) or graduate degree in machine learningA solid CS foundation (data structures, object oriented design, modern software engineering practices)Understanding of the mathematical underpinnings of machine learning/statistical algorithmsExperience in python and machine learning libraries (scikit-learn, tensorflow, keras)Data build technologies - AWS, postgresData extraction, cleansing, and normalizationAbsolutely, critical must have - thorough domain knowledge of soccer (coaching, playing, lifelong fan...) What Sets You Apart:Team-oriented engineering habitsCuriosity and desire to learn new tools and technologies, as well as teach/mentor othersStrong work ethic Our Work Environment and What You Will Benefit From:Cutting-edge products to work on for major professional sports leagues and teamsTeam-oriented, start-up mindset, innovative and dynamic environment, which encourages growth and provides opportunities to make an impactFlat hierarchy and collaborative management led by highly-qualified technical leads As a general approach, we interview for aptitude over specific technologies or languages. Please be prepared to speak to anything listed on your resume or CV." "Data Scientist, Marketing & Advanced Analytics","Glendale, CA","Parks, Experiences and Products","Reframe business objectives and questions as statistical and analytics tasks that can deliver actionable insights, create accurate predictions, and drive effective optimization Build models and algorithms to effectively measure and optimize business performance, including media mix modeling and models for customer segmentation (including LTV, churn, propensity models) Lead predictive analytics to forecast marketing performance and improve targeting and communication strategies Process, cleanse, validate and integrate data from different sources for reporting, analyses, model building and data visualization Collaborate with data engineers to build data pipelines that drive downstream workflow Analyze large and complex consumer behavior data to identify patterns and uncover opportunities related to how guests are responding to marketing efforts and interacting with shopDisney.com, Disney Stores, and retail subscription businesses Develop and deliver action-oriented, insightful analytic presentations that provide consultative direction to key stakeholders Monitor trends in data science and alternative sources to ensure the use of best in class tools and techniques Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering 4+ years of professional data science/analytical experience 4+ years of professional experience using data-building and statistical programming languages: SAS, Python, R, SQL, etc. Practical experience and expertise in applied statistics and data science methodologies (general advanced data modeling and predictive analytics e.g., multi-variate regression analysis, machine learning, forecasting, Bayesian estimation) Experience with data exploration utilizing data visualization tools (e.g. Tableau, PowerBI, Pandas, ggplot2, Plotly) Experience with marketing analytics, including media mix modeling and multi-touch attribution Ability to think strategically, including interpreting market and consumer information Ability to simplify highly complex analyses into terms that are easily accessible and impactful for both written and verbal formats Demonstrated ability to present data science results and actionable recommendations to business and technical clients Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics Experience in customer analytics, including lifetime value analysis, customer propensity, acquisition & retention, forecasting, and customer segmentation strongly preferred Experience in ecommerce, consumer products, retail, publishing, or digital products strongly preferred Prior knowledge of internal Disney data and databases Agency experience is a plus Experience creating and delivering analytic widgets, such as R-Shiny apps Knowledge and professional application of machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN, etc.) and modern deep learning techniques (PyTorch, Keras/Tensorflow) is a plus Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Data Scientist to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. In this role, the Data Scientist will leverage multiple statistical and machine learning methodologies to influence decisions and strategic planning, with a focus on marketing effectiveness, media mix modeling, and model development for segmentation and targeting customers. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA. Required Education : Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering Preferred Education : Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering 4+ years of professional data science/analytical experience 4+ years of professional experience using data-building and statistical programming languages: SAS, Python, R, SQL, etc. Practical experience and expertise in applied statistics and data science methodologies (general advanced data modeling and predictive analytics e.g., multi-variate regression analysis, machine learning, forecasting, Bayesian estimation) Experience with data exploration utilizing data visualization tools (e.g. Tableau, PowerBI, Pandas, ggplot2, Plotly) Experience with marketing analytics, including media mix modeling and multi-touch attribution Ability to think strategically, including interpreting market and consumer information Ability to simplify highly complex analyses into terms that are easily accessible and impactful for both written and verbal formats Demonstrated ability to present data science results and actionable recommendations to business and technical clients Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition Company Overview : English" Data Scientist - Research and Economics,"San Francisco, CA 94103 (South Of Market area)",Uber,"At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together. About the Role We are seeking an economics-minded data scientist to drive top cross-functional priorities for the company. Our team conducts research and analysis that forms the foundation for business decisions and our policy positions - taking into account competitive, legal, operational, and product considerations and helping leadership weigh each of these when in opposition. We are seeking candidates with a strong background in economics or other quantitative social sciences, with an ability to think critically about a research question and design and implement data analysis and data pipelines in SQL/R/Python. What You’ll Do Ensure alignment between policy research and business strategy, building on a rich understanding of - and relationships across - policy, product, legal, data science, and operations Conduct careful statistical and econometric analysis in support of our policy priorities, collaborating with international teams to develop research that speaks to their local contexts Present economic reasoning and analytical results to internal audiences (e.g., our leadership team) and external audiences (e.g., policy stakeholders) What You’ll Need A degree in Economics, Statistics, Math, Engineering, Computer Science, or another quantitative field; candidates with a relevant PhD and/or extensive experience will be evaluated (and compensated) commensurate with their education and experience At least 3 years of experience in data science or a similar quantitative field, with a demonstrated ability to use tools such as SQL, Python, and R to work efficiently at scale Ability to work independently and execute a research plan with minimal oversight, balancing excellence and attention to detail with the need to prioritize work and deliver within tight deadlines Excellent stakeholder and project management skills, including an ability to develop collaborative and productive research relationships with other teams around the company What You’ll Get Be part of the technology company whose platform is used globally by over 4 million people to earn money and over 100 million people to move around their cities Join a supportive, inclusive company and team that will be invested in you and your professional growth and success as a data scientist Get exposure to a unique set of projects: Your work will influence some of the most pressing policy issues across the company and around the world About the Team The Policy, Research and Economics team, led by the Chief Economist, is responsible for addressing the thorny policy and business challenges impacting Uber globally. As a data scientist on this team, you would be expected to bring analytical and empirical rigor to bear on important questions relating to economics, labor, and work." Data Scientist,"Raleigh, NC 27601",Genworth,"YOUR ROLE Genworth Mortgage Insurance is looking for motivated and talented individuals with a background in data and analytics to work on insurance focused analytics problems. The Data Scientist will report to the Senior Manager of Data Science and provides analytical cross-functional support through effective use of predictive analytics and forecasting methods to improve operational visibility and efficiencies. This is a dynamic and challenging opportunity to apply the latest tools and methods in Big Data and Data Science to a variety of business problems. YOUR RESPONSIBILITIES Research current processes and proactively identify emerging needs for analytic models Develop supervised (regression and classification) and unsupervised (e.g. clustering and segmentation) models and dashboards (Tableau) Evolve and advance a customer behavioral segmentation model, building marketing, sales and product predicative models, analyzing results and movements of segments/clusters and providing business insights to grow the company’s market share and revenue Design, create and implement advanced analytics and forecasting models to optimize business processes. Provide insights for decision making through the use of ML, traditional statistical modeling and BI. Perform monthly reporting of some key metrics as a part of advanced business intelligence support to functional areas (e.g. building Tableau dashboards or providing automated reports and decks) Partner with IT and Enterprise Data Management Organization (EDMO) teams on the evaluation of data assets and their proper use Become a trusted analytical partner to the functional areas of support (Marketing, customer solutions, Underwriting, Loss Mitigation, Pricing) and collaborate on the development and planning of analytic projects in response to business needs Develop and perform preliminary exploratory analysis on datasets associated with building advanced ML models. Ability to work with structured and unstructured data. YOUR QUALIFICATIONS Bachelor’s degree required 4+ years business analytics and business support functions experience 4+ years of experience in one or more of the following statistical / analytic languages such as Python (Pandas, Scikit-Learn), Apache Spark (or PySpark), Hive, and Scala in a cloud computing environment 4+ years of experience in one or more of the following: database query and management tools (SQL, Spark, Preseto/Athena/Hive / HQL etc.) Hands-on experience with advanced analytics like logistic regression, time series, forecasting, optimization, and other predictive modeling techniques. ML experience and knowledge of ML platforms, libraries and programming. Hands-on experience working with advanced BI tools, dashboard experience with visualization and automation tools, Tableau experience preferred AWS Certification or proven experience in a cloud computing environment such as, Databricks, Azure, Cloudera, Hortonworks, Google Cloud, Anaconda etc. Some experience with legacy analytics software such SAS or willingness to learn the basics Ability to translate business needs into technical requirements and articulate analytic solution to get business buy-in Ability to influence decision makers and drive consensus ADDITIONAL QUALIFICATIONS Master’s or PhD in a quantitative research field Experience or background in customer focused fields including marketing, sales, customer research and product management Ability to perform complex day-to-day ETL tasks such as data gathering, data cleaning, wrangling, coding or programming, business and analytics requirements gathering, and data analysis Experience with large analysis datasets and enterprise scale database systems (e.g. Large Hadoop, Redshift, Hive, SQL tables etc.)" Senior Data & Applied Scientist,"Redmond, WA",Microsoft,"Analytics team in Azure Hardware Systems & Infrastructure division explores data from millions of hardware devices used in Microsoft Clouds. We provide data science, business intelligence, and data engineering services to internal cloud engineering and operations teams, and work on improving quality of Microsoft cloud services by applying data-driven changes to hardware and firmware.We are looking for a successful data scientist with extensive experience in machine learning and advanced statistical analysis in technology domain, expert-level knowledge of Python programming language and ML automation pipelines, capable of working with large volumes of discrete events, continuous telemetry, and configuration data. ResponsibilitiesConduct parametric and non-parametric statistical testing on hardware-related telemetry, events and configuration dataEvaluate applicability of machine learning techniques and methods to hardware service scenariosDevelop machine learning-based tools and solutions for hardware-related scenariosCollaborate with software, hardware and data engineering teams to develop end-to-end solutionsProactively learn new and existing data analysis best practices, methods and techniques QualificationsMS or PhD degree in data science, statistics, numerical methods or other math or ML-related areas3+ years of experience in doing statistical analysis and designing ML models in one or more of the following: casual inference, A/B testing, statistical significance in complex scenarios, pattern discovery, Markov chains, process analytics, neural networks and deep learning techniques in technology applications3+ years of expert-level Python programming for Statistical and ML applications3+ years of experience with data manipulation and exploration at scale (SQL, Azure Data Explorer/Kusto, Azure Data Lake). Good understanding of modern clouds, server architectures and their components (CPU, RAM, Storage etc.), integration with OS and cloud environmentGreat communication and presentation skills. Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work." Data Scientist,"Irving, TX 75038 (Cottonwood area)",Cottonwood Financial,"Reporting to our Director of Decision Science, the Data Scientist (a.k.a. Decision Science Analyst) position’s charter is to increase the company’s profits through data science, machine learning, and advanced statistical analytics techniques in the areas of payments, collections, operations, and companywide cross-functional projects. This individual will be a member of an exciting, fast-paced, and growing team making an immediate impact across the entire company. This is a great opportunity for a talented person to broaden his/her business skill set through exposure to a wide variety of business problems and challenge him/herself with projects that can span from tactical to strategic in nature. Data Scientists are based at our Corporate Office (HQ) in Irving (Las Colinas), Texas. KEY RESPONSIBILITIES Provide data science solutions for the profitable management of key business areas of payments, collections, operations, and other companywide cross-functional projects by monitoring trends, identifying opportunities, developing and presenting recommendations, implementing the strategies, and measuring the impact Work with the latest open source tools, libraries, platforms, and languages to build effective machine learning models to be used in non-credit decisioning throughout the firm Proactively collaborate with Credit Risk Management, Marketing Analytics, Marketing, Data Management & Governance, Application Development, Operations, Product Management, Compliance, and other internal groups to implement new business practices and decisioning strategies Accountable for the successful management and completion of multiple concurrent projects that are on-time and with high quality Provide timely and justified recommendations in response to ad hoc analysis requests by internal groups Act as an internal resource for Python best practices Develop actionable reports for use by the senior leadership team REQUIREMENTS BS in an analytical field such as Data Science, Machine Learning, Analytics, Statistics, Computer Science, or highly quantitative engineering (e.g. Chemical Engineering, Mechanical Engineering) 1 years of hands-on work experience developing data science solutions 1 years of coding experience in open source programming languages such as Python or R Advanced user of database query languages such as SAS and SQL Results-oriented self-starter who is confident in defending his/her critical thinking abilities Proven track record of developing successful predictive analytics (i.e. statistical modeling) Capitalistic mindset supported by a strong business acumen and work ethic Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to a non-technical audience Local (Dallas/Fort Worth area) candidates only – no relocation Must be currently authorized to work in the United States without sponsorship and not require sponsorship in the future PREFERRED QUALIFICATIONS Master’s degree in a Quantitative field strongly preferred 3 years of hands-on work experience developing data science solutions leveraging data mining, machine learning, deep learning, operations research, or Bayesian methods Work experience in consumer credit COMPENSATION Annual salary of $75,200 BENEFITS Medical, dental, and vision Voluntary life/ AD&D Short-term & long-term disability 401K with company match Paid vacation, holidays, and sick time Paid maternity, paternity, extended medical leave, and jury duty Corporate discount program on personal cell phone accounts with select providers Business casual work environment ABOUT COTTONWOOD Founded in 1996, Cottonwood Financial is one of the largest privately held retail consumer finance companies in the United States. We have zero debt, have been profitable every year since inception, and our growth is funded entirely through internally generated capital. Headquartered in Irving (Las Colinas), Texas, we have company-owned locations, under our Cash Store brand, across the country. Through this national brick-and-mortar footprint, we provide best-in-class customer service and offer an innovative mix of financial products and services to our customers. We have been named several times to the Inc. 5000 list of America’s fastest-growing private companies, as well as to the Dallas 100 list of the fastest-growing private companies in North Texas." Data Scientist,"San Francisco, CA 94104 (Financial District area)","Grammarly, Inc.","The opportunity Grammarly empowers people to thrive and connect, whenever and wherever they communicate. More than 20 million people around the world use our AI-powered writing assistant every day. All of this begins with our team collaborating in a values-driven and learning-oriented environment. To achieve our ambitious goals, we’re looking for a Head of Enterprise Product Management to grow the user base and revenue for Grammarly Business by developing and delivering on a concrete multi-year product strategy. Over the past ten years, our product has proven to be tremendously valuable for teams and businesses, and our business-focused product is a direct way to deliver this value to our customers. This role will shepherd Grammarly’s next high-impact growth horizon, with an opportunity to build and ship product, hire and manage product managers, and meaningfully contribute to Grammarly’s audacious user and revenue growth goals. This is a senior leadership role reporting to the VP of Product.Your impact This is the first-ever Head of Enterprise Product Management role at Grammarly, and it’s ideal for someone who’s excited to develop and execute on comprehensive and impactful channel expansion as well as go-to-market and product strategy. You’ll do this by building new features, hiring and leading a team of product managers, and working cross-functionally with leaders across Grammarly’s Engineering, Marketing, Growth, and Sales teams. You’ll also collaborate with the VP of Product and Grammarly’s co-founders on product strategy, progress reports, and product ideation. In this role, you will have the opportunity to: Build and scale a major new channel and revenue stream for an established brand. Bring a beloved consumer brand to small businesses and enterprises. Help develop business value and messaging to entice enterprise use of Grammarly. Scale a new product category (AI-powered writing assistant) in B2B channels. Maximize Grammarly’s reach by effectively collaborating with Consumer Growth and high-touch Enterprise Sales teams. To achieve this, you’ll: Become an expert in Grammarly enterprise market and users, revenue projection model, and sales operations. Create the product strategy and vision. Develop a hiring plan for our product org and hire product managers for your team. Own product roadmaps and update these regularly with key hypotheses and milestones, determining the product and engineering needs to support these roadmaps. Establish relationships with key senior collaborators in the company, including Engineering, Marketing, Product, Data, and Design teams. We’re looking for someone who Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable. Appreciates complex and technical products, elegant user experiences, and how the product function impacts metrics and growth. Has experience developing and owning key product metrics/indicators that map directly or indirectly to company performance. Is able to analyze and pull meaningful insights from both quantitative and qualitative data. Has a successful track record managing top-performing product teams and the ability to match individuals to roles that cater to their talents. Can develop and execute on a prioritization framework to effectively seek out the essentials and say no to the non-essentials. Has the ability to build strong relationships with direct reports and with peers across the company. Support for you, professionally and personally Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback. A connected team: Grammarly builds products that help people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs. Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package that includes superior health care. We also offer ample and defined time off, catered lunches, gym and recreation stipends, admission discounts, and more. We encourage you to apply At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Grammarly is an equal opportunity employer and participant in the U.S. Federal E-Verify program." Principal Data Scientist,"Chevy Chase, MD",GEICO,"GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Principal Data Scientist, you will work with a talented and diverse team of data scientists with responsibility to: Coordinate project teams of data scientists and supporting roles, acting as the primary point of contact in delivering end-to-end innovative, high-quality data solutions with measurable business value Build relationships with partner teams, frame and structure questions, as well as summarize and present key insights to both technical and non-technical audiences Collaborate with stakeholders to gather, consolidate, and validate business expertise throughout the project lifecycle Work with analysts to document requirements, assumptions, and methodology including validation, testing, and implementation strategies Coach, mentor, and guide data scientists to advance their career development in both technical and non-technical areas Facilitate regular peer reviews and conduct performance reviews Assist management with strategic efforts, portfolio management, and value delivery Assist management in the recruiting process in order to build a high-functioning Data Science team Apply project/team leadership and problem-solving skills to establish and promote best practices within the team Develop a high-level understanding of cutting-edge data science tools and techniquesExpected Qualifications: Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree or certification in analytics-related field strongly preferred 5+ years of experience in a quantitative analyst and/or leadership role with 3+ years leading a team of quantitative analysts. Experience leading an Agile team preferred Demonstrated leadership competencies, including teambuilding, creative problem-solving, flexibility, and willingness to challenge the status quo Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management Demonstrated experience in influencing business decisions and driving business value Working experience with analytical modeling tools such as R or Python, predictive modeling, machine learning, experimental design, and AB testing strongly preferred Completion of an analytical product critique may be requiredAbout GEICOFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunities GEICO Federal Credit UnionBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Chevy Chase, MD",GEICO,"GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.Expected Qualifications:Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark Excellent communication skills and experience in working with stakeholders Passion for extracting hidden insights and building machine learning systems that enhance business outcomesAbout GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: 401(k) and profit-sharing plans Medical, dental, vision and life insurance Paid vacation, holidays and leave programs Tuition reimbursement Associate assistance program Flexible spending accounts Business casual dress Fitness and dining facilities (at most locations) Associate clubs and sports teams Volunteer opportunitiesBenefit offerings for positions other than full-time may vary.GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers." Senior Data Scientist,"Louisville, KY",Humana,"Description The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities This is a unique opportunity for a motivated individual to influence Humanas vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities Recommend, design, and develop actionable analytic solutions for key business problems through in-depth investigations of healthcare utilization trends and outcomes Use advanced analytic techniques like machine learning, predictive modeling to develop sophisticated models to solve the business problem Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights from structured and unstructured data by leveraging NLP/ML Ensure the developed models or statistical tests are reusable and modular for effective transition to cloud in the future Work directly with aligned business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Build smart systems that learn from health intervention outcomes, clinical programs over time Collaborate with multiple cross-functional teams to understand the business needs, identify any operational barriers and issues, and facilitate their resolution In the first year this role will focus on the following Develop effective partnerships with internal business partners and coworkers Work in an agile way to produce, interpret and recommend real time optimization opportunities for the business to implement using advanced analytics techniques Enhance the ability to work in a fast-paced environment, multitask and quickly pivot based on business needs Develop subject matter expertise in the business needs and serve as a consulting resource for the clinical analytic needs of the stakeholders Implement real time business feedback of analytics based on the direct needs of internal customers Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business strategy and tactics Ability to make decisions on moderately complex to complex issues regarding technical approach for project components Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree PhD Scheduled Weekly Hours 40"