Heavy on stats questions in the first round (I progressed to the second round so passed however would have appreciated a heads up on what I needed to brush up on) Generally technical questions are provided following the intro meet and greet initial stages. Meta jumped straight into some hard hitting stats and ML theoretical angles. Second interview didn't have much of a technical component to it
What is your experience with SQL?
Star based behavior questions and follow ups on that
Product insight: what do you think is happening if email confirmation rate drops?
Number of questions covering data processing (using either SQL or pandas), programming (lists and dictionaries), and machine learning. The questions were not especially hard, but I imagine the cutoff were how fast you could solve them.
Describe the dataset you used in the project.
1. Given an array of numbers construct the array of numbers with the rules given. 2.
Deep questions about statistics that requires remembering the quantiles table values
Why did you apply at Zip?
I think one was a sort question?
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