Coding was not really leetcode-style, more just problem-solving and implementing things creatively (more enjoyable imo). Deep knowledge of data structures is definitely helpful. Math stuff was brainteasers/probability questions - definitely pretty difficult, they're more concerned with the approach/thought process than an exact solution. Data science was just testing basic ML knowledge + implementation, understanding pitfalls/tradeoffs of your data.
nothing unexpected
The most difficult question is whether I will choose SIG if I have other offers.
Online assessment included questions from calculus, probability, linear algebra. Call was about background, interests, etc., and then two moderately challenging probability questions.
Do you have any questions for me?
a lot of statistics and econometrics questions
Ask about the PhD research projects.
There weren’t any unexpected questions / big surprises. It was not an easy interview process. It was challenging but pleasant. One or two questions took me to / beyond my technical comfort zone. I think the process is designed to take someone to their technical limit.
Tell me about the project you are working on.
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