Data Scientist Interview Experience
Interview process
Mostly feature engineering, with some core Python (functions and classes) mixed in. The platform has a built-in AI assistant you can query for syntax, so you don't need to memorize every method. You can execute your code to check it, but no test cases are given. So you never get a pass/fail signal. You have to decide how much time to spend validating your own output versus moving on to the next problem. Sanity-check the shape, nulls, and dtypes of what you build, and write your own quick asserts.
- Recruiter screen
- Online assessment
Interview tips
feature engineering in pandas (groupby aggregates, date parts, encoding, handling missing values). Get in the habit of testing your own code, because the platform won't do it for you.
Company culture
I only went through the recruiter screen and an online assessment, so my view is limited. What stood out was that WMG let candidates use an AI assistant for syntax during the coding round.
Questions asked
Specific questions asked
Basic background conversation. No technical questions.
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