---
title: Rip Data Scientists
date: "2025-09-12T00:00:00Z"
categories:
- talks
- data
- llms
- linkedin
description: "AI is rapidly automating many data-science tasks, so the role survives by evolving beyond routine execution rather than by preserving old workflows."
tags: [data-science, ai-automation, future-of-work, vibe-coding, analytics]
linkedin: https://www.linkedin.com/feed/update/urn:li:activity:7364307983037579266/
talk_url: "https://talks.s-anand.net/2025-08-21-rip-data-scientists/"
---

Slides for my DataHack Summit talk (controversially) titled **RIP Data Scientists** are at https://talks.s-anand.net/2025-08-21-rip-data-scientists/

**Summary**: as data scientists we explore, clean, model, explain, deploy, and anonymize datasets. I live-vibe-coded _each_ step with DGCA data in 35 minutes using ChatGPT.

Of course, it's the _tasks_ that are dying, not the role. Data scientists will leverage AI, differentiate on other skills, and move on.

But the highlight was an audience comment: "I'm no data scientist. I'm a domain person. I'll tell you all this: If you don't follow these practices, you won't have a job with me!"

They're catching on! 🙂

![](https://files.s-anand.net/images/2025-09-12-rip-data-scientists-linkedin.jpg)

[LinkedIn](https://www.linkedin.com/posts/sanand0_slides-for-my-datahack-summit-talk-controversially-activity-7364307983037579266-gnqf)