Chewy Data Scientist Interview Questions
& Process

Got a call from the recruiter, no email, just asking my availability. They set up a call with the hiring manager which was fine, asked standard questions. But the rest was a mess. After the HM call, I was expecting a coding screen (Python/SQL) and then a virtual onsite. Instead, the recruiter booked 4 one-hour interviews for Monday with less than 24 hours notice, like literally scheduling them all on Sunday and I didn't get meeting links until an hour before the first one. No breaks in between. The questions felt repetitive, mostly asking if I could build linear regression models fast under changing stakeholder demands.

Interview process had 7 rounds, not counting HR. 5 rounds were part of a Panel interview, with 2 rounds before that. The hiring team was great, but too many behavior questions. HR was not so cool, mixing up time zones and giving me the wrong interview time. Mistakes happen, but I expected better from a company like Chewy. The lack of communication and broken promises were terrible. They said I'd get feedback early next week, but then two weeks later they said they'd give feedback and the result this afternoon, which never happened. Worst HR communication ever. About 4 out of the 7 rounds were purely behavioral. Interviewers were nice and communicated well. Three technical rounds had only tech questions, no coding or take-home challenge, which I think are crucial for assessing technical skills. The senior and lead data scientists were professional and asked in-depth questions.

It was a pretty standard Data Science interview. It had 3 rounds in total. First, a recruiter call. Then, a technical screen with a Data Scientist. After that, a take-home assignment. Finally, there were 3 back-to-back interviews with 2 Data Scientists and the Hiring Manager. The focus was mainly on Statistics and machine learning models.