Type of Prompting Strategy Question on RAG Pipeline
Lead Data Scientist Interview Questions
347 lead data scientist interview questions shared by candidates
Everyone had questions from software engineering, infrastructure, machine learning, backend, and general data engineering.
Where would be the best location to place a new ATM machine in a specific city?
what is for me leadership
why accuracy is not a good metric? in what cases recall is a better metric? what is p-value? how is lgbm different from gbm, xgboost?
Should you be concerned with capping and flooring variables for a random forest model?
All about dealing with conflict, because they have a culture of conflict.
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.
Forests, boosting, projects from CV.
Give 3 distinct binary classifiers with 80% accuracy on the same each. What will be the accuracy of ensemble of 3 classifiers? The class if predicted using major vote.
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