Senior Data Scientist Interview Questions

3,513 senior data scientist interview questions shared by candidates

The assignment was a real estate price prediction problem ,they ask you to provide insights and do Machine learning to predict the price of units in Greece . Here when I really became disappointed , the data science consultants ( or who claim they are) who interviewed me lacked basic intuitive knowledge about data science , questioned the why behind creating a simple benchmark to validate ML models on . They also seem that they didnt try to solve the problem before they gave out to candidates , which made them unaware of the aspects of the problem
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Senior Data Scientist

Interviewed at Resolute Asset Management

4.2
Jun 20, 2021

The assignment was a real estate price prediction problem ,they ask you to provide insights and do Machine learning to predict the price of units in Greece . Here when I really became disappointed , the data science consultants ( or who claim they are) who interviewed me lacked basic intuitive knowledge about data science , questioned the why behind creating a simple benchmark to validate ML models on . They also seem that they didnt try to solve the problem before they gave out to candidates , which made them unaware of the aspects of the problem

They asked a combination of problem solving, programming, CV, ML, DL, DS questions. Due to NDA, I cannot reveal the questions per se, but here is an overview of some concepts they tested. CV questions- (Resume related and some applied problems) CNNs out there, basics, losses, etc... Favorite papers and details of architecture GANs Programming: Standard easy-medium leet code questions Sampling, probability, python programming. Other ML/DL questions: Ensemble methods Classification basics - loss probability basics recall, precision, ROC etc clustering basics + advanced dimensionality reduction Interviewers touched upon almost all CV, ML and DL basics. They asked a bunch of applied questions too.
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Senior Data Scientist

Interviewed at ZEFR

3.4
May 25, 2021

They asked a combination of problem solving, programming, CV, ML, DL, DS questions. Due to NDA, I cannot reveal the questions per se, but here is an overview of some concepts they tested. CV questions- (Resume related and some applied problems) CNNs out there, basics, losses, etc... Favorite papers and details of architecture GANs Programming: Standard easy-medium leet code questions Sampling, probability, python programming. Other ML/DL questions: Ensemble methods Classification basics - loss probability basics recall, precision, ROC etc clustering basics + advanced dimensionality reduction Interviewers touched upon almost all CV, ML and DL basics. They asked a bunch of applied questions too.

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