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.
Data Sciences Interview Questions
10,894 data sciences interview questions shared by candidates
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?
What is a recent project you significantly contributed to?
Why did you choose AI?
How do you do feature selection?
If a certain feature has seen tremendous growth in user engagement, how will you analyze its positive/negative impact on the platform?
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