Example of SQL queries, what did they do, how could they be optimized
Sr Data Scientist Interview Questions
3,505 sr data scientist interview questions shared by candidates
Tell me about a project where a client was not happy.
What is xgboost? what are hyperparameters that we use in xgboost.
How would you deal with low performing team member. Act this in a role play.
Tell me about a time when you realized something wrong was happening, that would affect you or your team.
How to prevent overfitting in a ML model?
Talk about recent projects, python coding
Pandas, numpy and recursive functions
no question
I had a 45-minute technical interview with a Senior Data Scientist consultant. The session included three SQL questions and one Python question, focused on sales transactions and data manipulation. One point of friction was that the interviewer asked me not to use window functions and instead pushed for a GROUP BY solution. While I adapted under pressure, I felt the conversation was more rigid than collaborative. Overall, the process was structured and timely, but I would have appreciated more flexibility in the problem-solving approach — especially for senior-level candidates who may use different methods to arrive at the correct solution.
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