Don't remember fully. 15 min was given to a task to design an ML feature in the system. Other than that many questions about my experience and on some practical aspects.
Senior Data Scientist Interview Questions
3,509 senior data scientist interview questions shared by candidates
Questions on marketing analytics and projects
Describe the difference between various bagging and boosting methods in terms of bias and variance trade-off
hashmap question, two sum variant, ML theory questions
My Experience level and what interested me about the Company
Usual behavioral questions. Do not overlook data science fundamentals like precision, recall, sensitivity, specificity, etc.
Most questions were related to machine learning models and algorithms. For example, Random forest, Xgb, difference between bagging and boosting, how different algorithms handle NA values etc.
It was related to ML, AI and solving business problem
case interview was kind of different
Asked me to do a presentation showing a project and my technical background
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