Position: Data Scientist
How was the interview process? What was it like?
There were 4 rounds. The first round was of general introduction and resume discussion with some datascience algo questions. The second round was an indepth discussion on one project from my resume. The third round was a coding round where i was given questions and had to write working code that would pass their test cases. The fourth was a trick questions round where tricky questions related to datascience algorithms are asked
What technical questions were asked?
Modeling and ML knowledge, Statistics & AB Testing
What was one of your solutions?
The trick is to use early stoping or model checkpointing. The interviewer was eager to hear the words model checkpointing