Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Google (Mountain View, CA)
Colloquio
Applied online, was contacted by a recruiter, and did the technical phone screen. Overall, the questions just seemed like I was taking a statistics exam. You need to know the the underlying assumptions of statistical tests . Coding was done in a google doc, and mostly only required knowledge of base or built-in functions in your language of choice.
What’s the probability of a type 1 error. What happens when the sampling distribution is altered (e.g. filtering out all values below the mean) and how does it effect type 1 errors.
It was all good, the interviewer was very nice. Technical questions were a bit challenging but overall it was good. The hiring manager was looking for some hands on experience
Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Google
Colloquio
Back to back interview.
[1]. Mainly ask ML concepts, e.g., how to develop a classifer for youtube video; they will also ask some statistical concepts
[2] Coding for both python and sql
Ho sostenuto un colloquio presso Google (Mountain View, CA)
Colloquio
Applied at PhD level so I had two back to back technical interviews. One all stats concepts and the other talking over a hypothetical experiment design and walking through my thought process.
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