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
Can you describe how you used ML to bring value?
Difference between LLM architecture patterns.
First, it was a screening with recruiter. Second, the first technical interview was a medium difficulty SQL exercise + probability questions (coin based). Third, final rounds.
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