Towards Data Science

I Completed Five Years in Analytics Consulting: 5 Lessons That Changed How I Work

The tools I use for analytics and reporting have changed more than I expected, yet my questions for any analytics project haven't moved much. The post I Completed Five Years in Analytics Consulting: 5 Lessons That Changed How I Work appeared first on Towards Data Science .

Towards Data Science
4d ago

AI Made Data Scientists Faster. Now It’s Expanding the Job.

AI has accelerated data scientists’ productivity, but its influence extends beyond speed. The technology is reshaping who owns data, how judgment is exercised, and the overall career trajectory of data scientists. These changes signal a broader transformation in the field’s structure and responsibilities.

By Yu Dong
Towards Data Science
3d ago

Insight Is Still the Currency of Data Science

The article titled "Insight Is Still the Currency of Data Science" discusses how coding agents free up time for discovery and argues that review practices should evolve to align with analytical work. It emphasizes the importance of focusing on insight rather than merely producing code. The piece was originally published on Towards Data Science.

By Andrew Hinton
Towards Data Science
Aug 25

A New Towards Data Science: A Faster Site and a Brand-New Contributor Portal

Towards Data Science has announced a major overhaul of its website and contributor portal. The new site promises faster performance and a brand‑new portal for writers, aiming to improve the experience for both readers and contributors. The update is positioned as a significant upgrade for anyone who reads, writes, or both on the platform.

By TDS Editors
Towards Data Science
Aug 29

4 Claude Skills Every Data Scientist Needs in 2026

The article lists four skills that data scientists should acquire to stay competitive in 2026. It emphasizes the importance of integrating these skills into current workflows to avoid falling behind. The post was originally published on Towards Data Science.

By Haden Pelletier
Towards Data Science
Aug 30

Context Engineering Is Changing. Here’s What It Means for Data Scientists

The article discusses how context engineering is evolving and outlines practical ways data scientists can incorporate the newest guidelines into their everyday work. It explains the importance of adapting to these changes to improve model performance and relevance. The piece offers actionable steps for integrating context engineering into typical data science workflows.

By Piero Paialunga