5 Interview overall
First round:
- Statistical Knowledge (t test, A/B testing, logistic/linear, more complex models)
-Data Intuition (Case study,Data)
Second Round:
- Coding (Could be a medium leetcode style, or coding probability outcomes)
- Data Intuition & Statistical Knowledge
- Googleyness
Interview questions [1]
Question 1
t test, A/B testing on building a new feature on youtube.
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
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
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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