Why Lilly?
Senior Scientist Interview Questions
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Interviewers doesnot know anything other than classical ML .
Suppose we have a big company and a lot of job applications every day. How do we solve the problem of finding best position for applicant?
What is ur preferred working topic?
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.
write out python pandas api docs from memory
This was all very role-specific and I'll decline details here due to NDA.
Give an example of when you made a decision to kill a project.
Background. Simple coding using python.
Asked questions related to leetcode binary search, embedding, and RAG-LLM.
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