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Tell me how you would determine the top 5 highest-grossing products from a list of previous order data?

Implement a function to generate the list of prime numbers that are below N.

How do you identify and rectify multicollinearity in your datasets?

How do you weigh the pros and cons of different algorithms when selecting the most appropriate one for a specific machine learning task?

Tell me about the methods you would use to interpret data from an A/B test to gauge differences in campaign effectiveness and test results significance.

Share a conflict you had to resolve.

Would you describe your methodology for calculating the rolling average of a metric over a specific interval?

If you receive an offer from Wayfair, how long do you think you'll stay?

Suppose we have a dataset of (date, duration) tuples. How would you filter by a specific time period and then generate summary statistics, including the average duration and rolling sum, for each date within that time period?

What steps do you take to optimize your statistical model and reduce residuals?