Questions were around my knowledge in DS product building, problem areas and general data interpretation.
Lead Data Scientist Interview Questions
402 lead data scientist interview questions shared by candidates
boosting algorithm, neural networks, pros and cons of different methods
What are your capabilties in SAS?
Explain bias vs variance trade-off.
How would you train a model?
First round -> 1-2 sql question, 1 python question and 1 puzzle Second round -> Clustering case study Third round -> Behavioural
Most of the questions asked from your assignment and you need to answer them from consultancy point of view.
How and when did you make any impact using analytics?
All of the interviewers had technical background and were asking behavioral questions.
1st interview: got a relavitaly clean data set where I had to build a classifer (kaggle style) all done on local laptop. Juypter env.
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