What Does Data Science Look Like in the Age of AI?
This week, we’re excited to share a new episode of High Signal featuring Hilary Mason (Hidden Door, ex-Fast Forward Labs, Bitly). Join us as we explore how data science is evolving in the era of generative AI and what this means for data professionals, leaders, and organizations alike.
A new era of data science
In the latest episode of High Signal, Hilary Mason discusses how automation, generative AI, and shifting roles are reshaping data science. While the hype around data science may be fading, Hilary argues that this is a moment of maturity—and opportunity—for the field.
We dive into topics including:
🔹 The Evolution of Data Science
Why automation is transforming entry-level roles and how the field is moving beyond its “shiny” phase.
🔹 Why Generative AI Needs Context, Not Prompts
Hilary critiques the inefficiencies of prompting and explains how context-rich systems unlock AI’s true potential.
🔹 The Skills That Matter Most in a Changing Landscape
How good judgment, problem framing, and creativity are more critical than ever for data professionals.
🎬 Watch the clip where Hilary shares her take on whether data science is dead in the age of AI:
Find the full episode on Spotify, Apple Podcasts, and YouTube!
Or, as always, the shownotes are on our site.
Catch Up on High Signal
Stay tuned for more insightful conversations with industry leaders about navigating the challenges of data science and AI. If you missed our recent episode with Gabriel Weintraub (Stanford), be sure to check it out!