Fragen aus Vorstellungsgesprächen für research scientist, von Bewerbern geteilt
Mostly technical / coding questions with limited time to answer, talk about past projects (with techncial depth), almost no questions with respect to data science (statistics, ml, math, modeling ...)
Could you provide some examples of the coding tests?
What kind of coding questions in first round?
I was asked everything about my resume, about programming languages, difference between python and c++. Statistics basics. It wasn't difficult , to be honest, but I would have liked to be prepared a bit. Also, I was asked about algorithms of which I don't have a strong background as it's not my field. So I didn't perform well there. I thought they will not focus on machine learning in the first interview as it's not as a skill in my CV, though I did mention that I am interested in it.