In 200 words or less, describe an interesting ML or statistics project that you are proud of and had end-to-end ownership of. What were the major challenges you faced during deployment?
Sr Data Scientist Interview Questions
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A work project that involved cleaning and analyzing a dataset that is supposed to be similar to their usual data.
If tomorrow you magically became the CEO of your current company, what would be the first thing that you would do?
What do you know about causal AI Build an ML model and presentation
1st round interview 2nd round technical interview 3rd round 3-hour technical assessment 4th round 1/2-day in-person interview 5th round interview with CEO/leadership
General HR initial screening questions for a candidate.
A/B testing Different algorithm scenarios
Stats/Prob+Linear regression+data story telling+A/B Testing+SQL/Python+Problem Solving case
Talk me through your resume. Skills.
Describe a time when you made a DS org impact
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