HR set up a phone screen unprepared and knows NOTHING about the job or the org, it was a complete waste of my time. To add salt to the injury, HR made me speak Chinese for the interview just because I am Chinese (Seriously?!). Absurd and extremely unprofessional. Avoid.
Sr Data Scientist Interview Questions
3,392 sr data scientist interview questions shared by candidates
what is your goal for this job?
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.
Why do you want to work at PWC?
* 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
LP/MILP formulation for manufacturing optimization
Tell me about your previous projects
Python (map, reduce, functions, classes) SQL (join, sorting, grouping) Project presentation (describe and present a project to panel) Situational and motivational
They asked how I would solve a user segmentation situation.
All of the questions were based on the project from last job.
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