ML project - impact , algorithm and metrics used
Data Scientist Senior Interview Questions
3,390 data scientist senior interview questions shared by candidates
They don't know anything about ML and data science. They have already dissolved there data science team once because of incompetency.
How did you manage conflicting requests from stakeholders
medium to easy sql and product metrics and experimentation related questions.
1. Walk me through your resume 2. Describe your strengths and weaknesses 3. Do you know anything in the front-end space? (For which I said yes and I tried to demonstrate some of the webapps I built) 4. Are you willing to work over weekends on a fixed schedule? (oncall) 5. What are your top 5 skills?
two rounds of Technical interview and mettl test
It was 3 rounds. First round fundamental ML and statistics (PCA, multicollinearity, distributions, clustering). Second round was hands on model building, given a data set and then questions on it.
Q: can you please tell us a bit about your background? Q: How /Where did you get the labels for the NLP task?
How did I move from the ideation stage to a developed product?
touched almost all topics, including Python, NLP, LLM, Model architecture, ML Ops, Deployments (CI/CD).
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