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.
Data Scientist Senior Interview Questions
3,397 data scientist senior interview questions shared by candidates
Basic coding skills were judged. Case studies based on retail in F2F.
coding around python list and dict. Question related to basic data cleaning and feature engineering. Explain various machine learning algorithms used for classification. Metrics to evaluate a model PCA
questions about resloving situations data science questions: about ML models, algothams, how to evaluate models
what type of forecasting algorithms have you worked with
What is correlation? Logistic Regression cost function and assumptions? Entropy and Information gain ? In final rounds they ask normal behavioural questions on how will you handle conflict with peer and manager etc.
In one interview, te questions seemed straight out of the playbook for HR people. From the teams side, there was one or two interesting questions regarding Data and technology.
How would you check the feature correlation for categorical features?
Joining multiple datasets to get to an answer
home assignment of recommendation system to build. the model should recommend for n of coins and their value in usd, by a data of past transactions.
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