1. How many DS projects worked till date. 2. What is confusion matrix. 3. What is correlation. 4. Have you worked in marketing/sales?
Sr Data Scientist Interview Questions
3,495 sr data scientist interview questions shared by candidates
how do you evaluate a model?
Questions were mostly on your data challenge, hypothesis testing (how you would set something up, etc) and Bayesian stat (how you set up a prior, etc). Again tech questions are not hard and they kept asking about if I would be comfortable working with customers or non-tech people.
Precision, recall multiclass imbalanced classification
Random questions not related to data science. Not sure what they wanted out of the role
How would you design an A/B test experiment to determine the success of flu shot brochures on vaccination rates?
What's the difference between bagging and boosting.
-walk over your ML projects in the past
What was a project that you worked on and what was your process for approaching it?
Tell me about you. Describe one project you followed. Which is your best book.
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