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Senior 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

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

what are the commonly used activation functions in Neural Networks?

2 Answers

1- Machine Learning concepts 2- Data Structure Case Study (Very easy) 3- Coding (Easy but they need hands-on exp) And Finally, Leadership (14 principles)

2 Answers

discussion was done on CV and there were some paper work to fill

1 Answer

Why do you think this role is for you?

1 Answer

Retro and forward synthesis

1 Answer

The technical is difficult but fair. Expect questions on experimental design of assays / techniques within the department you are applying for or, what things need to be considered.

1 Answer

First two rounds were very job specific and were very technical, scientific questions. HR interview was a little more difficult as I had to explain scenarios (stories) for lots of different questions and sometimes I couldn't think of a different story to the one I had already given. Questions like - Why GSK? Scenario where you showed leadership/teamwork? Scenario where you worked through a conflict? etc etc

1 Answer

Talk about a recent project you've worked on

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