#77 Acing the Data Science Interview

Data and AI platforms are racing toward agentic and even autonomous analytics. But the bottleneck is rarely the model—it’s data readiness: governed metrics, clear metadata, and a semantic layer machines can read. For data engineers and analysts, this shifts work from hand-built S ...  Show more

AI agents are spreading across the data and AI industry, promising to automate everything from research to outreach. At the same time, teams are learning that these tools can hallucinate, leak data, or act in surprising ways. In day-to-day work, the challenge is deciding which ta ...  Show more

In this podcast episode, Avery talks with Akshay Swaminathan, co-author of the book 'Winning with Data Science: A Handbook for Business Leaders.

They discuss the vague terms often thrown around in the data science industry and underline the importance of understandi ...

Robert Blumen talks with Cody Voellinger, the founder of a recruiting firm that specializes in filling software engineer roles for San Francisco-area startups, about how jobs are created and how companies and engineers get matched up. Their discussion covers the entire job search ...  Show more

The data science field is expanding because so many businesses and other institutions require skilled workers who can manage data as well as provide insights. Companies and students are clamoring for more academic programs. There is great need, but academic institutions are st ...

In this episode of the Data Career Podcast, Avery interviews Eric Cuentas, a chemical engineer who turned into a data analyst and career coach.

They discuss obstacles when pursuing career goals and highlight the importance of determining genuine motivations to align wit ...