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Data Scientist Senior Interview Questions
3,395 data scientist senior interview questions shared by candidates
1. Explain your project and 1 model you used.
Basic Machine Learning all algorithms at which case which algorithm should be used and clustering algorithms some basic knowledge on LLM . Many scenario based question : 1) How will you handle missing data in dataset for regression problems 2) Come up with scenario when to use un-supervised ML algorithms 3)Why LLM when to use LLM. 4)How to handle Bias and Variance. Topics: Regression, classification and clustering algorithms, bagging and boosting.
Tell me about a project that you worked on before
Describe how k-nearest neighbors works.
Q: Say we have a new self-driving vehicle on the road. How would you assess if it's working?
Questions were mostly focused on personality.
HR interview was easy but second interview with manager was mainly about previous experiences and highly difficult. So, studying on or remembering the projects would be really helpful. I wasn't remembering any single detail that's why it didn't go really well. Deep questions like dataset size and balanced/ imbalanced data, resulting training and testing accurancy, theoretical machine learning algorithms are asked. The manager was really professional and expert on data science though.
how does GBM work? difference between Boosting and bagging. also questions on LSTM's.
asked me about the various accuracy metrics in detail
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