3 rounds before the final data interview. They give you a dataset and expect you to write a code for the whole day. In the first rounds, they ask probability, and brain teasers
OA -> First Round (technically 3) -> Manager Round
Was asked how to model a given scenario, was open-ended.
Interviewer asked questions that seemed more like textbook memory then actually focusing on working on a solution. Was also asked questions that were not relative to the round I was on.
First round interview was a fairly simple question of citibike, familiarity of common ML modeling should be enough. Second and third round there's more tricky technical questions on linear regression.
Interview questions [1]
Question 1
Predictive modeling of number of bikes in stations around the city
