Data Scientist applicants have rated the interview process at Goodnotes with 2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 42.4% positive. This is according to Glassdoor user ratings.
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Take home analysis and presentation, including follow up questions and going through code.
Next interview was behavioral and some further data questions.
Was rejected after this interview as they said I didn't have enough experience in ML, although throughout the whole process ML was never discussed. If they had asked they would have found out I have plenty of experience in this area of DS. So although the experience was good in general, it was a very bizarre reason for rejection which left a bad impression of their attention
Interview questions [1]
Question 1
Mainly questions about a/b testing, standard behavioral questions related to data projects