After I submitted my application, the OA went out automatically — one Python question and one SQL question, nothing too hard.
First round (mainly asked about my resume, a deep dive into the ML project on my resume, and a case):
What's your experience of building a statistical model and machine learning model?
What kinds of variables/features did you use? Did the client only care about the results, or did they want to know which feature was important? This was a deep-dive question based on the machine learning project I'd mentioned.
Multicollinearity.
Case: since I was interviewing for the marketing team, the questions were mainly about lead scoring — very specific to the marketing domain.
For the second round, since the interviewer was the DS Program Director, they mainly introduced their business and the projects their interns would work on. The technical part was similar to the first round, centered on the ML knowledge on my resume — things like what model and features I used — all pretty simple. At the end they asked a case: the probability of conversion for a group of people who started a free trial. I actually felt like this was still a lead scoring question, so I answered it the same way I had in the first round.
The second-round interviewer asked if I could come work in New York over the summer, and I felt like it was pretty much in the bag. I got the offer two weeks later.
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