1. Describe a big challenge you helped solving. (architecture, data etc..)
Data Scientists Interview Questions
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Valid Anagram: Given two strings s and t, return true if t is an anagram of s, and false otherwise.
What metric should we use to assess quality of linear regression
Describe a project where things didn't work out as expected.
You have a linked list of numbers, how would you return the median ? Follow up, what is the worst case performance?
Behavioral question: do you have any experience of over-delivering the job?
ML/DL concepts, batch normalization, how does it work? Supervised/unsupervised learning, regularization, talked through a case study, how to solve such a case, what are the challenges, available tools and methods to solve the problem.
Phone interview: research + one coding question Onsite: Two rounds of research interviews and two rounds of coding. Asked typical coding questions, similar to LeetCode. No brain teaser.
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