Tech round consisted of 4 SQL questions and a Product Case Study. 30 minutes each portion. The SQL questions were about Medium difficulty, a few windowing functions and CTE but not too bad.
The recruiter reached out through LinkedIn. First round was an interview with the hiring manager, then a technical interview including 4 sql questions and one case study in one hour. After passing this step, I moved to the onsite which included 3 case study and a meeting with XFN.
Interview questions [1]
Question 1
What does this sql code do? and if we want to change it to monthly what should we do
I applied through an employee referral. I interviewed at DoorDash (New York, NY) in May 2026
Interview
The interview process was first a recruiter screen, then two screening interviews with SQL and a case study, then 2 case studies, one hiring manager interview, and 1 cross-functional partner interview. These interviews are similar to what I would expect for data scientist interviews, but they aren't layups. I expected to be ready after acing the screens + (in my opinion) one of the case studies. But then in one of them they were looking for me to use some concepts I wasn't familiar with, so I bombed it and spent most of the time jumping around to adjacent topics that were similar but evidently not as good. They're pretty quick with the interview process, and I felt they were professional. I just wish it had gone better
Interview questions [1]
Question 1
How would you measure the impact of launching the ability for Dashers to use bicycles to deliver, instead of just cars?
I applied through an employee referral. I interviewed at DoorDash in Jan 2026
Interview
referred by a friend, and had the 1st round of interview consisting of 30-min case + 30min coding . The case question is not hard with pretty vague, but they do care a lot on how to translate the solution into technical solutions
Interview questions [1]
Question 1
How to evaluate bike delivery as a new dasher type?