They described the process to be of three rounds with a total 7 interviews. And they will not pay the top of the market for going through that. No thank you. It shows a lack of decision making capability which also manifest in the product.
Sr Data Scientist Interview Questions
3,512 sr data scientist interview questions shared by candidates
What is bias vs. variance trade off
Tell me about yourself Which models did you use?
Not hard to prepare overall. Just need to prepare your previous experience, basic ML/stats, coding. However, their management is kind of messy. Due to their between-team movement, I joined two interview process but get the NO response from both team. (Because when I interview team A, they pull someone from Team B to fill the position instead. By the team I interview with Team B with the hc, the person moved back to Team B)
Medium difficulty coding (python), SQL, ML concepts, data science take-home case study (looking for approach over accurate solution)
Just the Introduction then they dived into technical questions directly.
Data Aggregation quries on SQL, Python. Focused on extraction of date elements. A/B testing. Regularization.
Tell me about a time you disagreed with a team member.
why do you want to apply for the job? Give examples of how did I use some specific statistical algorithms.
Mainly focused on ML, data science, and electronic health records related
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