Data Scientist, Machine Learning Evaluation
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?
How can you participate? We’re looking for data scientists to define, drive, and coordinate evaluation 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 arrive at 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.
• Help design A/B tests for our cloud offerings, and use human judgment vs. end-user A/B tests as appropriate
• 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 huna-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.
Ancestry is currently seeking highly motivated interns who can work full-time for 12-16 weeks during Summer 2018. Our summer internships allow you the freedom to experience impactful business projects that allow you to develop your talents. You will enjoy mentorship, and experience challenging work all while receiving fantastic pay, fully-paid temporary housing, and having a lot of fun—we have it all. Oh, and did we mention the possibility of full-time employment once you graduate?
From Engineering to Marketing, UX Design, DNA Science, Product and more, we’re looking for fresh minds and diverse ideas with an interest in connecting families and technology. Come join a diverse company of enthusiastic, talented, smart, and very passionate people who bring their A-game each day.
Internship Project Description
This is what you will do….
Task & deliverables:
Ancestry is a profitable, growing company with a positive, high-energy environment. Together, our dedicated teams are harnessing the power of technology and using it to simplify the way people connect with their families and their unique legacies. Our work environment is fast-paced and challenging, but also extremely exciting. You’ll work with a team of passionate, engaged individuals. We offer excellent benefits and a competitive compensation package. For additional information, regarding our benefits and career information, please visit our website at http://ancestry.com/careers
Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.
Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed (including religious dress and grooming practices), national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, and medical conditions related thereto), sexual orientation, gender, gender identity and expression, age (40 and older), mental or physical disability (including HIV and AIDS), medical condition (cancer and genetic characteristics), veteran status, citizenship, marital status, genetic information, or any other basis that is prohibited by applicable law. The Company also makes reasonable accommodations to applicants or employees with qualifying disabilities who request them and who otherwise meet the requirements of applicable law. If you would like to request an accommodation during the application process, please contact our Director of Recruiting.
All job offers are contingent on a background check screen that complies with applicable law. For San Francisco office candidates, Ancestry will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco's Fair Chance Ordinance.
IND2
LI#Post
The Siri Search team is creating groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Siri’s universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every day.
MS or Ph.D. in Data Mining, Machine Learning, Statistics, Operations Research or related field
Ancestry seeks a Product Analyst (Data Science) to work in an exciting and dynamic area, with huge opportunity for learning. If you love diving into massive datasets but also want the opportunity to shape the vision and strategic role of Product Analytics then this may be the role for you. Working closely with members of Product, Data Scientist and Engineering teams, you will define and report on key metrics, analyze customer behaviors/data, optimize our products by experimentation and content and build tools/service to improve Analytics productivity.
What you will do
We’re a cutting-edge tech company with a very human mission—to help every person discover, preserve, and share the story of what led to them. Combining the rich information in family trees and historical records with the genetic details revealed in DNA, we create unique experiences that give people a new understanding of their lives, because connecting all the pieces of our family story can give us the deepest sense of who we are.
For more information on what we do and why you would want to work at Ancestry, visit our careers page:www.workforancestry.com
Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means .
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.
IND2 #LI-Post
Under Armour is the chosen brand of this generation of athletes... and the athletes of tomorrow. We're about performance - in training and on game day, in blistering heat and bitter cold. Whatever the conditions, whatever the sport, Under Armour delivers the advantage athletes have come to demand.
That demand has created an environment of growth. An environment where building a great team is vital. An environment where doing whatever it takes is the baseline and going above and beyond to protect the Brand is commonplace.
The world's hungriest athletes live by a code, a pledge to themselves and everyone else: Protect This House... I Will. Our goal is to Build A Great Team! Will YOU…Protect This House?!
As an established leader in performance and innovation, Under Armour Connected Fitness is dedicated to improving the health and fitness of millions of users worldwide. The team of digital products currently under the Under Armour Connected Fitness brand include MyFitnessPal, MapMyFitness app suite, Under Armour Record and Endomondo.
We are looking for a data scientist who wants to design and build intelligent user-facing data products using machine learning and computer vision technologies.
At Under Armour, you will...
We are looking for a candidate who…
Preferred qualification:
At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Under Armour believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.
Enjoy rolling up your sleeves and digging through data to solve interesting problems? SmartPay is looking for a highly motivated, data-driven Risk Analyst to join our growing Risk & Analytics team. Our company provides innovative consumer financing solutions in both Retail and Online, where our team is integral to ensuring continued success. At a high level we leverage data to manage underwriting risk, prevent fraud, and provide actionable insights across the organization. Key to our success is utilizing innovative analytical techniques to recognize opportunities and answer the questions that will facilitate the company’s growth moving forward. We primarily work with MySQL, MongoDB and R/Python (in addition to Excel and other ad-hoc tools).
The Risk Analyst will have the opportunity to work closely with stakeholders across the business on a range of projects, from modeling the financial impact of price changes to determining the effect of a product change on consumer behavior. The ideal candidate will have superior analytical skills and the ability to tackle a project end-to-end: from asking the right questions, framing the problem, and gathering relevant data to drawing key insights and communicating them in an actionable manner. High intellectual curiosity and strategic thinking are a must. The right person will have the opportunity to grow by developing their skills, learning the business, and helping to shape the direction of our company.
Responsibilities:
· Provide focused analysis of data attributes in order to understand patterns and offer insights that will aid in risk mitigation and product improvements
· Collaborate with team members to help build and maintain key analytic program library with all data extraction methods, exploratory data analysis, underlying models, and model validation/implementation documentation
· Proactively gather and analyze company data to provide critical insights surrounding portfolio performance at consumer, store, and channel levels
· Perform various ad-hoc analyses relating to credit and fraud risk management initiatives
· Data stewardship – monitor and improve upon existing data extraction techniques, identify and mitigate potential data integrity issues
· Work with engineers to implement models and new features
Desired Skills & Experience
2+ years of experience in an analytical, data-driven role
Bachelor’s Degree in Statistics, Computer Science, Economics or related technical field
Ability to operate with a high degree of autonomy in a fast-paced environment
Ability to balance multiple projects while maintaining analytical rigor
Ability to synthesize and clearly communicate results to business partners
Understanding of statistical processes and comfort in working with data sets, both big and small
Desired skills include SQL, R, Python, MongoDB, Excel
A strong desire to innovate, collaborate, and have fun!
We are looking for a talented and creative Data Scientist interested in building, defining and pushing the boundaries of games analytics within our San Francisco office, focusing on both games in production and live titles. You’ll have a proven ability to apply your skills, be it technical, behavioral or economic, in order to generate value for the studio's new generation of awesome mobile games.
If you want to improve the experience of King’s 300 million+ players across our network of games, then this may be the right opportunity for you. You’ll help us to further understand, model, predict, segment and retain our players. You will be part of a community of 80+ business intelligence & analytics experts, while working on a daily basis in smaller teams of 3-6 people. As a data scientist at King, your role will be focused on particular games.
Specifically, you’ll:
There is plenty of scope at King for you to learn from your colleagues in the areas where you have less experience, and to share your own skills where you are stronger.
Specific experience that might be helpful, includes:
Making games is fun. Especially when you do it with people who share the same idea of what makes a good workplace, great. We design games for everyone, no matter where they are or who they are, and we employ all sorts of people from all kinds of backgrounds to bring them to life. Truth is, we simply can’t expect diversity in our players and originality in our games without first nurturing it in our people. A great saga needs all sorts of heroes. And that’s it.
It’s a small team out on the West Coast, but when it comes to platform partnerships, it’s an invaluable one. With its mild climate, stunning scenery and cosmopolitan character, San Francisco is one of North Americas most beautiful and exciting cities. You’ll find our studio within striking distance of the AT&T stadium and only a short tram ride away from the heart of the city.
Intelletec has teamed up with a fast-growing Bay Area company seeking a Data Scientist to join their team. We are looking for a Data Scientist that will help our client discover the information hidden in vast amounts of data, and help them make smarter decisions to deliver even better products.
About the company:
A Fast growing Adtech/Martech company that's changing the way enterprise companies market to consumers. They have a SaaS platform with real revenue from enterprise customers.
About the Role:
As a key member of the Data team, you’ll get in on the ground floor and help architect a brand-new platform powered by the latest big data technologies. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.You’ll own your work and create far-reaching impact! .This isn’t an environment where you can go through the motions, it’s a place where you can make a difference, personally and professionally.You will have a broad impact and true ownership.
Skills:
Job Type: Full-time
Salary up to $200,000 + Benefits and Equity
Job Type: Full-time
Salary: $120,000.00 to $200,000.00 /year
Experience:
Education:
Job Location:
Job Summary
Why TrueAccord? Debt collection is broken. Every year, 77 million Americans are contacted for collections, and they deserve a better approach - one that is more relevant, more digital, and less abrasive. That’s why banks, lenders, and industry leaders are coming to TrueAccord for innovative solutions recovering outstanding receivables.TrueAccord is a category-defining company. We deploy technology, machine learning, and data science to innovate and optimize how debt is collected. Come join our team and disrupt a multi-billion dollar industry that’s been waiting for change.
The Analytics Team
TrueAccord’s Analytics team is responsible for driving our business forward with data. You’ll join a small team of highly motivated people who take the TrueAccord mission seriously and are determined to succeed. This role is an excellent opportunity to work with talented Analysts, Product Managers, and Data Scientists and to continue building a career in the exciting field of Analytics.
The Data Analyst will utilize data and behavioral analytics to intimately understand the debtor population and what levers will affect cohort performance. You will conduct deep explorations into our data to identify trends, produce insights & build predictive capabilities. You will gather key insights around our product, operations, and performance and will deliver these to stakeholders to enable informed decision making.
This is an exciting role that is integral to the company's success and has broad exposure to the company’s performance.
Responsibilities and Duties
Qualifications and Skills
Benefits
Job Type: Full-time
Job Summary
Please apply directly through our website - https://goo.gl/C1aLhC
We are looking for a top notch Machine Learning Engineer who is passionate about applying Machine Learning technologies to help people succeed in career. This engineer will play a crucial role in researching, designing and developing machine learning algorithms, across classification, clustering, and natural language processing.
Responsibilities and Duties
Requirements:
Responsibilities:
Job Type: Full-time
Salary: $100,000.00 to $125,000.00 /year
Required education:
Job Description :
Wayio is looking for a motivated and talented data scientist to join the data science team to develop advanced predictive models for advertising system. The candidate will play a key role in the design & development of the predictive models that will improve efficiency and accuracy of the programmatic advertising. Prior experience in programmatic advertising or real time bidding would be beneficial. The job will involve research, algorithm/model development and substantial coding to implement innovative new solutions to the problems in real time bidding. This is an exciting opportunity for a junior or senior professional to apply data science knowledge to work within a dynamic and fast-growing industry.
Responsibilities:
Requirements :
Location : San Francisco
Areas of Interest : Computer Science, Engineering, Physics, Operational Research, Statistics, Mathematics, Machine Learning
Job Type: Full-time
Required education:
About The Role
SoFi makes it easy to manage student loans, personal loans, mortgages, and saving for the future. Our members also enjoy career services, financial planning, and networking events. With several new products on the way, SoFi will offer a complete portfolio of banking services while connecting to members in a much more intuitive and personalized way.
To make that happen, we’re looking for talented data scientists with backgrounds in Python and machine learning on platforms such as TensorFlow and PyTorch. Our team uses models developed and deployed on Tensorflow and EC2. You will join an experienced data science and engineering team to design our system for ingesting, processing, analyzing, and serving up enhanced datasets and customer insights broadly in the organization.
By joining SoFi, you're joining a new kind of finance company based around speed, transparency, and alignment with our members’ interests. Our goal is to be the center of our members’ financial lives. SoFi created the private student loan refinancing market, addressing the biggest financial challenge this new generation has through a new approach to lending. We expanded into other types of loans, and then into insurance and wealth management with similarly inventive products. As the company has grown, we’ve been able to help more people with these tools.
The data scientist must be able to
A successful candidate will show
Desired Languages
Nice to Have
Benefits
#LI-JK1
Sitecore is the global leader in experience management software that enables context marketing. The Sitecore® Experience Platform™ manages content, supplies contextual intelligence, automates communications, and enables personalized commerce, at scale. It empowers marketers to deliver content in context of how customers have engaged with their brand, across every channel, in real time—before, during, and after a sale. More than 4,900 brands––including American Express, Carnival Cruise Lines, easyJet, and L’Oréal–– have trusted Sitecore for context marketing to deliver the personalized interactions that delight audiences, build loyalty, and drive revenue.
This position can be located in London (England), Copenhagen (Denmark), Ottawa (Canada) or the San Francisco Bay Area (US).
Description
With Sitecore’s success as a market-leading, global software company, we need people to join our team around the world. We are currently looking for a highly skilled and experienced data scientist to join the Product Development team and contribute to Sitecore’s vision of enabling our customers to own the experience.
You will join a dynamic, international and cutting-edge organization with high growth rates and highly motivated employees.
About the job
As a seasoned data scientist and a leader in your field, you will be working as part of a team to define and execute data science solutions.
You will proactively lead machine learning research in the Product Engineering team, by collaborating closely with product management teams to operationalize your R models and algorithms into product features.
Your responsibilities
Your qualifications
Sitecore offers
We will give you the opportunity to work with highly skilled and passionate developers in a dynamic, international and fun work environment. We are an organization where suggestions are welcome, and your influence is embodied in the final product. Sitecore is an open-minded company with great opportunities for personal development.
After an offer is made and accepted, E-verify will be utilized to establish your identity and employment eligibility as required by the U.S. Department of Homeland Security.
Sitecore is proud to be an equal opportunity workplace. We are committed to equal employment opportunity without unlawful regard to race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, veteran status or any other local legally protected characteristic.
About Uber
We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.
For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.
And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on autonomous trucking and self-driving cars, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.
The mission of the Labs team is to leverage applied behavioral science to power products and cities. As part of the Product Platform Organization, we act as internal consultants who partner with data science, product, and marketing teams to tackle some of Uber’s toughest challenges. We’re looking for behavioral science enthusiasts with expertise in experimentation, hypothesis testing, causal inference, and other skills to grow our diversity of skills.
Example Projects
Here are the kinds of skills we're looking for:
Bonus points if you have:
About Us
Product Madness burst into life in 2007 as the brainchild of two Stanford Business MBA graduates who possessed an innate love of gaming. Initially, the entrepreneurs developed casual games for Facebook and mobile, before having a ‘light-bulb moment’ in 2009 and refocusing their efforts with laser-guided precision on the exploding social casino genre. They have been bringing world-class social slots to real slots fans ever since.
We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, 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. You should be interested in gaming domain and have passion for data.
Who Are You (Requirements)?
What Will You Be Doing (Responsibilities)?
How Will You Be Doing it (Our Stack)?
Who are we looking for?
As an employee of Product Madness, we’d expect you to be able to work in a fun, flexible, team-oriented, collaborative environment. You need to have exceptional communication skills, and be a self-starter.
Why Work Here?
Product Madness’ dedication to promoting diversity, multiculturalism, and inclusion is
clearly reflected in all our content and across all our platforms. Diversity is more than a
commitment at Product Madness—it is the foundation of what we do. We are fully
focused on equality and believe deeply in diversity of race, gender, sexual orientation,
religion, ethnicity, national origin and all the other fascinating characteristics that make
us different.
About Uber
We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.
For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.
And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on autonomous trucking and self-driving cars, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.
About the Role
We are looking for an entry/mid level data scientist to join our cross marketing data science team to apply statistical, machine learning, econometrics, time-series and mathematical optimization methods to solve interesting business problems in the field marketing analytics and finance tech. You will be working with a highly cross functional team providing insights to inform decisions on Uber’s long/short term growth and efficiency. This is a unique opportunity to apply your skills and have a direct impact on global business.
What You’ll Do
What You’ll Need
Do you have a passion for labor economics and telling stories using data? Do you love doing applied statistical research and developing insights from data? Do you love writing for a general audience, and want to share your research findings with media and the public?
Glassdoor has an opening for an Economist / Data Scientist within our growing Economic Research group. The position will work directly with our Chief Economist and decision science team, and will be a highly visible role on our research group at glassdoor.com/research (our company’s think tank).
You will help maintain our Python and R models, develop and publish insights and commentary about trends in the labor market, and be a spokesperson for Glassdoor. In addition, you’ll do statistical research on our database of real-time job postings along with proprietary user-generated reviews and insights that spans more than 740,000 employers.
We’re looking for an economist / data scientist who can be a superstar in three basic areas:
Requirements:
Why Glassdoor?
Glassdoor 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. Glassdoor is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.
Data & Applied Scientist II - Quantitative Analysis at MileIQ
At MileIQ, we work in small, independent, cross-functional teams to craft innovative software solutions for our customer's needs. We are looking for people who want to deeply understand problems and how we can use data to solve them. Over 2 million users trust MileIQ, the top grossing finance app in both app stores, to automatically log their mileage for their largest deductions and reimbursements ever. Join us in reinventing the future of productivity.
We are a small team of data scientists and analysts who believe in finding the right solutions in a repeatable and transparent way. We're looking for a quantitative analyst to provide insights into the business and find opportunities for further growth. A great candidate is a champion for using data to answer questions and communicating the answers to the rest of the organization. You will have ownership of challenging data analysis problems for an important product line. You will also have the opportunity to work with data scientists, analysts, and data engineers to build predictive models using modern data infrastructure tools like Spark.
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. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to askstaff@microsoft.com.
You have experience in (or are interested in learning)
TrimTabs Investment Research, a leading provider of equity market liquidity research to institutional investors that is part of Informa’s Financial Intelligence vertical, is seeking a quantitative research analyst intern to work 30 to 40 hours per week in the summer of 2018 from its San Francisco, California office.
Under the supervision of the Quantitative Research Analyst, the successful applicant will:
Applicants must have:
Applicants who have knowledge of Bloomberg, have knowledge of machine learning, and are enrolled in or have completed a graduate program in computer science, finance, financial engineering, mathematics, or statistics will be preferred.
This internship is a paid position that must be completed at our office in San Francisco, California. Only applicants selected for an interview will be contacted. Please do not call our office about this position.
TrimTabs Investment Research, part of the Financial Intelligence vertical of Informa, publishes detailed daily coverage of U.S. stock market liquidity. TrimTabs has provided institutional investors with trading strategies since 1990. For more information, please visit www.TrimTabs.com.
Job Type: Internship
As a DATA SCIENTIST within our Personalized HealthCare function you will work with meaningful data to generate impactful evidence and insights on our molecules/ medicines and patients, that support R&D, advance scientific and medical knowledge, and enable personalized patient care and access.
You will collaborate with peers within the function and across the organization to develop evidence generation strategies, identify evidence gaps and data sources, design and execute studies, and implement analyses to address molecule and disease area questions. The data will be varied in type - patient-level clinical data, supplemented with deep patient data such as omics (e.g. genomics, proteomic), imaging, digital health, etc. Source data will be diverse - real-world data, including patient registries, electronic medical records, claims, biobanks, and clinical trials. The evidence and insights will be used to inform the research and development of our molecules, and support healthcare decisions by patients, physicians, health authorities, payers, and policy-makers. You will also contribute to functional, cross-functional, enterprise-wide or external initiatives that shape our business and healthcare environments. This will require a good understanding of molecule and disease area strategies, healthcare environments, as well as strong scientific and technical data science expertise. You will need strong strategic, collaboration and communication skills, as well as an entrepreneurial mindset, to transform the way we use data and analytics to develop and deliver medicines for our patients.
As Associate Data Scientist you will typically be responsible for specific studies/ analyses, with support and oversight by more senior data scientists.
RESPONSIBILITIES
MINIMUM QUALIFICATIONS
POSITION SUMMARY
As a DATA SCIENTIST within our Personalized HealthCare function you will work with meaningful data to generate impactful evidence and insights on our molecules/ medicines and patients, that support R&D, advance scientific and medical knowledge, and enable personalized patient care and access.
You will collaborate with peers within the function and across the organization to develop evidence generation strategies, identify evidence gaps and data sources, design and execute studies, and implement analyses to address molecule and disease area questions. The data will be varied in type - patient-level clinical data, supplemented with deep patient data such as omics (e.g. genomics, proteomic), imaging, digital health, etc. Source data will be diverse - real-world data (RWD), including patient registries, electronic medical records, claims, biobanks, and clinical trials. The evidence and insights will be used to inform the research and development of our molecules, and support healthcare decisions by patients, physicians, health authorities, payers, and policy-makers. You will also contribute to functional, cross-functional, enterprise-wide or external initiatives that shape our business and healthcare environments. This will require a good understanding of molecule and disease area strategies, healthcare environments, as well as strong scientific and technical data science expertise. You will need strong strategic, collaboration and communication skills, as well as an entrepreneurial mindset, to transform the way we use data and analytics to develop and deliver medicines for our patients.
As Data Scientist you will typically be responsible for a molecule/indication and partner with cross-functional teams and external partners with considerable independence. We have open vacanies for different roles focused on RWD, Omics and Imaging.
RESPONSIBILITIES
MINIMUM QUALIFICATIONS
About Uber
We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.
For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.
And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on autonomous trucking and self-driving cars, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.
About the Role
We’re looking for an experienced data scientist on our Marketing Data Science team to apply statistical and machine learning models to drive investment decisions for Uber’s multi-million dollar marketing budget. You will be responsible for building quantitative models and developing actionable analytical solutions that will inform decisions across Uber’s marketing budget, accelerating both demand and supply growth within Uber’s cities worldwide! The right person for this role has a passion for leveraging large scale data analysis, predictive modeling, machine learning, experimentation and technology to power decisions across our marketing investment.
What You’ll Do
What You’ll Need
Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay fees to any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.Atlassian is looking for a Data Engineer to join our Marketing Data Engineering team and build world-class data solutions and applications that powers crucial business decisions throughout the organization. We are looking for an open minded, structured thinker who is passionate about building systems at scale. You’ll be the genius who understands data at Atlassian, knows where to find it, and manages the process to make that data useful for Analytics. You love thinking about the ways the business can consume this data and then figuring out how to build it.
On a typical day you will be building the data models and ETL processes to provide this data for business use. You've got industry experience working with large datasets. You are interested in reporting platforms and data visualization. As the data domain expert, you will be partnering with our technology teams, analytical teams, and data scientists across various initiatives.
You'll own a problem end-to-end, so those skills will come in handy not just to collect, extract, and clean the data, but also to understand the systems that generated it, and automate your analyses and reporting. On an on-going basis, you'll be responsible for improving the data by adding new sources, coding business rules, and producing new metrics that support the business. Requirements will be vague. Iterations will be rapid. You will need to be nimble and take smart risks.
We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
QualificationsAs a data engineer, you may have experience spanning traditional DW and ETL architectures. But for this role it is important to have industry experience working with big data ecosystems like Spark/Hadoop and Redshift. You’ve probably been in the industry as an engineer for 2+ years and have developed a passion for the data that drives businesses.
On your first day, we'll expect you to have:
It's great, but not required, if you have:
More about our team
Atlassian is over a decade old, but our team is much younger. We'll have to blaze new trails to enable important growth decisions, so we're constantly growing, learning, and trying to do things differently. You’ll be joining a team that is crazy smart and very direct. We ask hard questions and challenge each other to constantly improve our work. We are self-driven but team oriented. We're all about enabling growth by delivering the right data and insights in the right way to partners across the company.
About Uber
We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.
For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.
And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on autonomous trucking and self-driving cars, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.
This data science and economics team works with the Legal team on Uber’s most important legal issues. We work with the Legal team to develop analyses and arguments—based on data, economics, and the law—to defend Uber against risks in litigation and provide regulators answers to their requests for information.
Data Scientists on the this team work at the intersection of data science, economics, and the law. The data analyst is responsible for developing a deep understanding of Uber's databases and their quirks as well as assembling, analyzing, and telling compelling stories with data.
Responsibilities
Ideally you are not only fluent in the language of data but are also an adept written and verbal communicator. You should have the ability to get through to external parties and help them understand the nuances of our arguments. Fluency in English, both oral and written, is critical.
Research Scientist for Machine Learning in Building Construction
Location: San Francisco, CA- United States
Job ID: 18WD27043
Position Overview
The Design Research team works within in the Office of the CTO and is focused on discovering new, innovative experiences for designers. We design, test, and iteratively refine new user experience concepts by deeply understanding our users’ unique needs and behaviors. Our team helps customers to re-imagine the future of building design and construction by designing and deploying virtual construction agents.
The Design Research team is seeking a research scientist passionate about building the next generation of Autodesk products for architecture, engineering, and construction (AEC) industry. Using construction planning, scheduling, and execution data, our researcher will design a ‘virtual agent' that can help designers with encoding construction knowledge into their design, engineers with producing constructible engineering designs, and contractors with planning and executing construction projects.
Responsibilities
Minimum Qualifications
Preferred Qualifications
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.
San Francisco - CA, SF211MN, 211 Main St, 94105-1905
Lance Alan Britton
20180110-249
We believe that, when done right, investing liberates people to create their own destiny. We are driven by our purpose to champion every client’s goals with passion and integrity. We respect and appreciate the diversity of our employees, our clients, and the communities we serve. We challenge conventions strategically to create value for our clients, our firm and the world. We live and bring to life the concept of ‘own your tomorrow’ every day. We champion our employee strengths, guide their development, and invest in their long-term success. We hire optimistic, results-oriented, curious, innovative, and adaptable people with the desire to help our clients and one another succeed.
As a company, we were established by Chuck over 40 years ago to champion Main Street over Wall Street, and to help Americans transform themselves from earners to owners. Through advocacy and innovation, we work to make investing more affordable, accessible and understandable for all. As we enter our fifth decade, we are looking for talented, innovative and driven people who believe they can help themselves, and our clients, create a better future.
Our Opportunity:
The Analytics & Business Insight (ABI) organization supports multiple business units across Schwab through quantitative-based decision support. Our mission is to help Schwab better understand the needs and behaviors of our prospects and clients through statistical analysis, predictive modeling, market research, and business intelligence.
The data science team within ABI leverages machine learning and artificial intelligence to provide the organization with advanced quantitative analyses and insights that help guide development of new product/service offerings, better target prospects and clients through informed marketing efforts, increase acquisition of desired prospects, understand the ROI of advertising and marketing promotions, measure and assess the impact of business strategies, and identify strategies to grow client engagement, retention, and loyalty. Our services are in heavy demand as our team is a critical component in Schwab's commitment to being a leading data-driven organization.
What you’ll do:
The Senior Data Scientist will partner with business teams across a variety of areas and applications. He/she will work with business partners to understand business objectives and scope data science projects that deliver insights and results. He/she will work hands-on with large disparate datasets and analyze them leveraging state-of-the-art techniques and tools. He/ she will also work in a cross-functional manner with other consultants, analysts, statisticians, data engineers, and external vendors to deliver insights and solutions based on machine learning, statistical and econometric analyses.
Displaying strong business acumen and communication skills, the Senior Data Scientist will communicate analytical results to business partner in various settings to help drive results. Our business partners place great emphasis on our ability to translate statistical and mathematical results in a way that tells a clear story and guides them in actionable decisions.
Responsibilities include:
What you have:
What you’ll get:
Learn more about Life@Schwab.
Charles Schwab & Co., Inc. is an equal opportunity and affirmative action employer committed to diversifying its workforce. It is Schwab's policy to provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, disability, legally protected medical condition, genetic information, marital status, sexual orientation, protected veteran status, military status, citizenship status or any other status that is protected by law. Schwab also does not discriminate against applicants or employees because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. At Schwab, we believe that every employee, through their diverse abilities and experiences, can contribute to our growth, innovation and client loyalty. We embrace diversity and are committed to providing equal opportunity to all employees and applicants. If you have a disability, and require reasonable accommodations in the application process, call Human Resources at 800-725-3535. We will be happy to assist you. Schwab will only share your accommodation request with those individuals who have a specific need to know. The request for an accommodation will not affect Schwab's hiring decisions. All other submissions should be performed online.
You will be given the freedom to dive deeply into a variety of technologies and explore cutting edge
ML approaches. You will have the full power of our proprietary, patented machine learning
technologies at your disposal as well as the support of our talented Data Science Team, which
consists of several PhDs and ex-professors from top-tier universities.
In short, by joining our team you’ll be immersed in a start-up culture that is backed by the
resources of a Fortune 15 company with access to some of the most valuable and compelling data
in existence. You’ll work with some of the top minds in statistics and ML to build and deploy high value
applications on top of that data.
Basic Qualifications:
Eligibility Requirements:
The Research Data Analysis is in Clinical Affective Neuroscience laboratory, where we study the autonomic, emotional, behavioral, and neuroanatomic correlates of neurodevelopmental and neurodegenerative diseases. This position is for analysis of this data.
This position is required to consult scientific literature to identify best strategies and techniques for data processing and analysis as related to study design and data collection. Independent implementation and comparison of relevant approaches should be done as needed with results reported to the study Principal Investigator (PI). Appropriate data analysis should be conducted independently on cleaned and collected data with results presented to the PI. This position is also responsible for recruiting, training and supervising volunteer research assistants as needed.
The Research Data Analyst may be responsible for maintaining all aspects of the psychophysiology laboratory for all lab users. In addition, this role may be responsible for training all new lab members on laboratory hardware and software, including new PIs, CRCs, ACRCs and volunteers. This position may be responsible for direct and independent consultation with hardware and software vendors to choose appropriate lab equipment and tools to improve lab functionality. This role may also be responsible for independently maintaining and upgrading laboratory hardware and software including: researching new equipment, troubleshooting current equipment, helping with experiment logistics on all hardware and software, maintaining equipment stock and performing all general maintenance tasks. The individual may also be responsible for leading weekly meetings with lead PIs and all involved lab users to cover topics ranging from logistics to experiment development to data analysis. This role may also involve supervision of assistant clinical research coordinators and volunteer research assistants as needed by project demands.
NEUROLOGY
This position is within the UCSF Memory and Aging Center, which is housed in the Department of Neurology. Throughout the Department of Neurology at UCSF, our mission is to deliver superb patient care, to apply state-of-the-art translational research methods to discover the causes of and treatments for human nervous system disorders, and to educate each generation of medical students, neurology residents and postdoctoral fellows. By fostering cross-disciplinary interactions among scientists around the world, we accelerate the pace of discovery and champion the University's global health initiatives.
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.
We are EA
And we make games – how cool is that? In fact, we entertain millions of people across the globe with the most amazing and immersive interactive software in the industry. But making games is hard work. That’s why we employ the most creative, passionate people in the industry.
The Challenge Ahead
The EA Digital Platform team designs and operates an industry leading service platform that provides hundreds of millions of gamers with personalized experiences — registration, login, account security, offer catalog, checkout, fraud prevention, billing & payments, entitlement & DRM services, subscription management, and transactional messaging. Our games are played everywhere in the world and on any kind of gaming device (PC, web, console, mobile, smart TV’s) and support a wide range of business models (digital downloads, premium content, free to play, subscriptions).
We are looking for a Data Scientist to work in the Business Operations team that manages fraud operations and payment operations for EA’s Digital Platform. Your primary focus will be to analyze the behavior of our user accounts and customers, identify fraud trends and high risk transactions, take statistical or machine learning techniques when designing algorithms and heuristics rules to prevent fraudulent payments and losses, and work with Engineering to implement, test, monitor and improve the performance of the product.
Responsibilities:
Job Requirements:
Skills and Experience:
What’s in it for you? Glad you asked!
We love to brag about our great perks like comprehensive health and benefit packages, tuition reimbursement, 401k with company match and, of course, free video games. And since we realize it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off of creativity and individuality. At EA, we live the “work hard/play hard” credo every day.
EA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ancestry, pregnancy, age, sexual orientation, marital status, protected veteran status, medical condition or disability, or any other characteristic protected by law.
Spend your summer being part of something bigger - improving human health by unlocking the power of the genome. Our program is iAspire - Aspirational Students Pursuing Innovative and Rewarding Experiences. Illumina’s 12-week, global, summer internship program is filled with opportunities to innovate, collaborate, and invest in yourself. Our interns work on relevant projects and programs, right alongside our engineers, scientists and corporate employees. It truly is an opportunity to learn, grow, and become a fully-integrated member of the Illumina community.
The intern in this role will be exploring deep learning models or traditional machine learning techniques for various genomics and sequencing applications. Activities include application of deep learning/machine learning in image processing as well as sequencing data as well as optimizing and validating the models. They will also assist with hyper-parameter search and performance assessment to aid in speeding up the development process.
Qualifications & Requirements:
This role is located in Mission Bay, CA. Travel accommodations will be provided for those candidates who do not reside in the city where their interview is being held.
The iAspire program only supports F-1 visa status; no other visa types are eligible. F-1 students must have at least 3 months of CPT or OPT eligibility to participate.
For more information on iAspire, please visit www.illumina.com/iaspire
EOE/Minorities/Females/Veterans/Disabled
Illumina believes that everyone has the ability to make an impact, and we are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. If you have a disability or special need that requires accommodation, please contact us at 858-255-5081. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdfPROGRAM DESCRIPTION
The mission of the Data Science and Information Technology Program (DSITP) is to leverage leading-edge data science and information technology skills and capabilities to provide the best tools and services to accelerate translation of biomedical data to scientific discoveries, medical treatments, and diagnostic and prevention tools for cancer and AIDS patients.
The DSITP Strategic and Data Science Initiatives Group has a focus to establish new collaborations in computing and data science to address cancer challenges and accelerate cancer research. The group’s efforts include developing the capacity within the NCI intramural research community to increasingly employ high-performance computing, as well as establishing a longer-term direction and path forward for broader NCI, academic, government, and private industry participation in predictive oncology.
The Accelerating Therapeutics for Opportunities in Medicine (ATOM) Consortium is a public-private partnership with the mission of transforming drug discovery by accelerating the development of more effective therapies for patients. ATOM founding members are GSK, Lawrence Livermore National Laboratory, Frederick National Laboratory, and the University of California, San Francisco. The ATOM consortium members will develop, test, and validate a multidisciplinary approach to drug discovery in which modern science, technology and engineering, supercomputing simulations, data science, and artificial intelligence are highly integrated into a single drug-discovery platform that can ultimately be shared with the drug development community at large.
Frederick National Laboratory is hiring a Senior Drug Discovery Data Scientist to work in computationally-driven cancer drug discovery as part of the ATOM Consortium.
This position is based in San Francisco, California.
KEY ROLES/RESPONSIBILITIES
BASIC QUALIFICATIONS
To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
PREFERRED QUALIFICATIONS
Candidates with these desired skills will be given preferential consideration:
Expected Competencies:
At Cengage, we are harnessing the power of tech to build a future where all learners have the tools and confidence to achieve their goals.
As a Cengage employee, you will pioneer transforming the way people learn. Collaborating with the best of the best, you will feel challenged and inspired to do breakthrough work. With the support of our united team, there is no limit to what you can imagine, create and set in motion.
We bring our "A" game, unique talents and point of view to the table every day. We are curious and comfortable with change and are willing to take risks to transform education. Most importantly, everything we do, we do for the learner.
Summary:
Interested in working within a cutting-edge financial and engineering team with the opportunity to expand our data science and machine learning capabilities?
Neuberger Berman’s San Francisco office is looking to grow out our quantitative analytics team within the Specialty Finance Group. This venture has a heavy focus on the Fintech space and has frequent collaboration with many of the largest venture capital and financial technology platforms globally.
We are looking to hire an innovative Quantitative Analyst to be directly involved in the modeling and underwriting of the firm’s consumer credit and broader specialty finance strategy. As this role will have a strong influence in portfolio and risk management decisions and direct interaction with the senior leaders of the group, a successful candidate will need to have an entrepreneurial spirit with the ability to think creatively.
This role will provide you with visibility into the firm’s core strategies, while being part of a new and growing team, meaning you will be able to work on innovative projects with the backing and resources of one of the top global asset management firms in the world with over $295 billion in AUM. The work you do will have a tremendous impact on the group’s approach to risk and purchasing decisions. This role has great exposure, working with like-minded creative colleagues from finance, operations, as well as other investment teams across the firm.
Responsibilities :
Requirements:
Neuberger Berman is an equal opportunity/affirmative action employer. The firm and its affiliates do not discriminate in employment because of race, color, religion, gender, national origin, protected veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or because of any other criteria prohibited under controlling federal, state or local law. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact onlineaccommodations@nb.com .