Data Scientist Interview Experience

A recruiter reached out to me on LinkedIn, and the process started with a very basic recruiter screen that was mostly just a resume walkthrough and interest in DoorDash. Round one was a two-part screen: 30 minutes of SQL and a case on cold food arriving at customers. The SQL interviewer was extremely blunt, stating that he only cared about whether I got the right answer. After that, they team matched me before the final, which I hadn't really seen before, and I got matched to the new verticals area. The final loop was four interviews across two days with one business partner and three data scientists, and most of it was product analytics case work on metrics, segmentation, funnels, and A/B testing rather than deep theory. The most difficult part for me was the hiring manager round because she started at such a high level that it was hard to know where to anchor the answer.

A recruiter reached out to me on LinkedIn, and the process started with a very basic recruiter screen that was mostly just a resume walkthrough and interest in DoorDash. Round one was a two-part screen: 30 minutes of SQL and a case on cold food arriving at customers. The SQL interviewer was extremely blunt, stating that he only cared about whether I got the right answer. After that, they team matched me before the final, which I hadn't really seen before, and I got matched to the new verticals area. The final loop was four interviews across two days with one business partner and three data scientists, and most of it was product analytics case work on metrics, segmentation, funnels, and A/B testing rather than deep theory. The most difficult part for me was the hiring manager round because she started at such a high level that it was hard to know where to anchor the answer.