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Data scientist Interview Questions

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Describe the metrics one would use to evaluate a binary classifier.

2 Answers

Precision, Recall, F-score, Accuracy, ROC

Through questions like this, interviewers are mostly trying to test your skillset (and its relevance to the role) as robustly as possible, so be prepared for multiple offshoots and followups. It could be a useful exercise to do mocks with friends or colleagues in Bumble to get a real sense of what the interview is actually like. Alternatively Prepfully has a ton of Bumble Senior Data Scientist experts who provide mock interviews for a pretty reasonable amount. prepfully.com/practice-interviews

HackerRank: There are three questions. 1. searching and sorting; 2. interpolation; 3. extrapolation.

2 Answers

Prepare a presentation about a possible data science project for their company.

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I was asked to complete a complex and open-ended data science task. Really used the full range of my data science skills.

2 Answers

You have a database of customer transactions and for some users you don’t have much data (1-2 transactions), and you want them to use Revolut’s services more. How would you analyse the data to do so, with such limited data on some users.

2 Answers

what are the commonly used activation functions in Neural Networks?

2 Answers

Imagine we see a lot of users filling up a form but not submitting it, why would it be the case and how would you use data to finding it out?

3 Answers

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Regularization Methods?

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Do you enjoy challenges?

1 Answer

Can you describe how [Data-science technique] works, and why would you use it?

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