Lyft·Data Scientist

Lyft Data Scientist interview experience

No offer

Medium

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Candidate report, summarized by Dataford

My interview process involved multiple rounds, and the first part was heavily focused on statistics.

I was asked questions involving SQL and pandas, and then I got statistical problems tied to coupon usage for commuters.

Later rounds moved toward more end-to-end thinking. I had to do a machine learning system design question about passenger churn prediction, then a coding challenge where I implemented stratified k-fold cross-validation. The sequence ended with a business case study analyzing a sudden increase in “Prime Time” during weekends.

I felt most uncertain about the third round as it got more complex, and that uncertainty showed up in how I experienced the flow of the questions. I

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