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Sr Data Scientist Interview Questions
3,380 sr data scientist interview questions shared by candidates
LP/MILP formulation for manufacturing optimization
Common behavioral questions, basic data manipulation
Background, Experience, data science related questions, model algorithms.
The online assessment is about basic statistics, ML and programming questions.
Design an A/B test for utilizing marketing dollars in the most efficient way possible
How would you validate that the populations of an A/B test are indeed different
Q: Tell me about a time when you undertook an important initiative.
* Technical interviews was an average complexity for both python and SQL * The final interview was 4 sections: 1. Consulting: Quick and generic. Didn’t see how you can prepare beyond STAR stories of your past work on your resume. 2. Machine Learning: Was supposed to conceptual ML techniques questions but interviewer made it a case. 3. Business Case: Was supposed to be a case but it was just a discussion of my past experience. 4. Leadership: Typical behavior
Initially, when I heard that the interview would be based on scikit-learn debugging, I got excited that they were asking more relevant questions for the role than just LeetCode. The interview had 10 debugging codes which nine of which related to the custom transformer. It was a closed book test with even disabled autocomplete. Candidates were expected to memorize all the details, method path, parameters, etc. I don't know how they wanted to gauge a candidate based on such a biased nonsense test. Just to add, HackerRank is awful. The instructions are not clear and Quanata didn't bother to share the constraints and instructions. You don't know what the platform looks like and what options are available for the test until you start the test.
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