Given a business scenario frame a Data science problem, choose an algorithm , how will you deploy?
Data Scientist Senior Interview Questions
3,397 data scientist senior interview questions shared by candidates
1. How is word transformers different from Sentence transformers. 2. Scenario based questions. 3. When to use F1 Score, Precision, Recall Score 4. Clustering before train test split or after train test split. 5. I was surprised on this question. Do SMOTE increase your test data sample size as well 6. Scaling - MinMax, Standard and Robust Scaler 7. When to use class weights and oversampling/Undersampling ( No one can get it right at the first time). I wont recommend for someone who has good experience in Data Science. In my decade of taking/giving data Science interviews, this has to be rated as my worst experience.
How would you describe statistical significance to non-technical stakeholders? What does it mean ? what is multiple testing?
Various ML/stats questions on topics which I mentioned that I have expertise in Tell about a project you worked on before Have you worked with deep neural networks? Tell about it
Mostly behavioral and past experience questions. No pair programming session or anything of that nature.
Project related, Python, SQL (joins)
Pandas, numpy and recursive functions
Some basic questions about ML
Problem solving SQL assessment and technical interview
How to avoid overfitting in neural networks, working of convolution neural networks, etc. Mainly things would revolve around the math element of deep learning.
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