- Tell me about your experience in ML and your resume. - How to deal with seasonality in a time series. - What is a decision tree. - What is bias vs variance and how to treat them. - What is price elasticity. - How to convince a senior executive that data science is important (duh! seriously, I got asked this question by the person who was looking at another screen and was not even listening!)
I do not recall the questions, generic data science questions.
Case study - how would you evaluate a new service doordash is planning to launch. SQL questions included joins, window functions, aggregations
Why WayFair, and why this position?
I was hoping for Pandas type questions which I use in my day job. They asked about creating a function to get cumulative sum
How would you predict the likelihood of a rider cancelling a request
A python program to parse dates and get specific format for cars delivering food.
Some questions about a hypothetical product. Some questions about coding in sql.
Easy questions on SQL lag, lead , joins, dense rank, CTEs
Q: I don't remember, pretty standard stuff.
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