Background. Simple coding using python.
Sr Data Scientist Interview Questions
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This was all very role-specific and I'll decline details here due to NDA.
Each ML Case Interview was a separate day and required you to explain your approach to solve a given ML problem. Additionally, you could also be asked to walk them through your CV or some general "Culture" questions. The ML questions were interesting because they would usually be something that the given manager faced on a case before, so you get good insight in what the work can be like.
Asked questions related to leetcode binary search, embedding, and RAG-LLM.
write out python pandas api docs from memory
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Explain specific Machine Learning algo/technique for non-technical people.
if the model is not perfect, how would you like to select the threshold so that the model outputs 1 or 0 for label?
How do you promote models for acceptance?
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