When I applied for this data scientist job, the interview process kicked off with a quick recruiter screen where I walked through my background and tried to sound naturally enthusiastic while also praying they wouldn’t ask me to define MLOps in a sentence. Then I moved on to a technical phone round, which turned into an unexpectedly deep dive into pandas operations and left me second-guessing everything I thought I knew about DataFrames. After that came the “simple” take-home assignment that somehow ate my entire weekend and required me to dust off parts of linear algebra I hadn’t touched in years. Finally, the onsite loop involved a whiteboard session where I derived logistic regression under the mildly judgmental stare of three engineers, a product case where I had to improvise strong opinions about churn, and a behavioral round where I repeated “cross-functional collaboration” so many times that I briefly wondered if I was still speaking English.

Was asked pretty standard question during the interview, such as python, stat, case study, behavior, leadership. No sql question was asked. Average difficulty. Interviewers were friendly and professional. Overall had a good experience.