Shane Butler
Sravya Madipalli
Hai Guan
Free Lesson

Pass the New AI Round in Data Science Interviews

Part of Analytics Interviews and Career Growth with AI

60 min
Dec 16, 2026 1:00 PM

By continuing, you agree to Maven's Terms and Privacy Policy.

What you'll learn

Know where AI is allowed and how it is graded

See which rounds now allow AI, and what interviewers score: framing, prompting, verifying, and explaining your choices.

Catch the output that looks right and is wrong

Use a four-step verification habit: check row counts, check a known number, test an edge case, and read the query.

Answer "How do you use AI in your work?

Say when you trust AI, how you verify it, and one measured before-and-after result. "Yes, a lot" is not an answer.

Explain your fix out loud, the way the round expects

Narrate what the AI got wrong, why it matters, and how you fixed it, in under a minute.

Why this topic matters

More companies now let you use AI in an interview round, and that makes it harder, not easier. They are grading your judgment about what the AI got wrong: a join that double-counts, a chart built on the wrong filter. "How do you use AI?" is now a standard question too, and "yes, a lot" is the most common weak answer. This session teaches the verification habit and an answer that stands out.

You'll learn from

Shane Butler

Shane Butler

Co-founder, AI Analyst Lab

Sravya Madipalli

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Hai Guan

Hai Guan

Co-Founder, AI Analyst Lab

See all products from AI
Get free access