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Data Scientist Senior Interview Questions
3,398 data scientist senior interview questions shared by candidates
Talk about about your past experiences. Go deeper into this project.
How do you determine sample size? What statistical test did you run for A/B testing?
List the assumptions of a linear model.
Theoretical questions around ML. Previous experience buiding ML models. Why this particualr mode? evaluation metric?
What model did you build?, What was the evaluation criteria?, How did you check its performance?
RAG: - What model did you use? - How would you process different kinds of structured data? - How would you work with images and text? - What vector database did you use? - How many GPUs? - What is the architecture of an LLM? Explain different types of transformers and their use cases. When would you want to fine-tune an LLM? What ingredients are needed to get a good result?
explain differences in boosting and bagging, some marketing specific questions, some stats and MLE questions
-Describe a brief project that i participated in -We then jumped into a case study
- ensemble methods; normalization vs standardization; loss functions - when to use deep learning vs classical ML; difference between senior versus data scientist; diff. between data analytics vs data scientist;
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