Data Scientist applicants have rated the interview process at DoorDash with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 50% positive. This is according to Glassdoor user ratings.
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I applied online. I interviewed at DoorDash (San Francisco, CA) in Jun 2026
Interview
1. First round of interview was 30 min SQL (very easy) + a case study
2. Second round had 3 case studies and one cross functional interview
Interviewers were kind. 2 of the case studies were straight forward, one was very ambiguous.
Interview questions [1]
Question 1
experimentation, metrics, diagnosis, LTV, Opportunity sizing in an ambiguous setting were you can't run experiment and you have to make a lot of assumptions to navigate through the ambiguity.
I applied online. I interviewed at DoorDash in Jun 2026
Interview
1. SQL - 4 questions, Easy - Medium. Window functions and aggregations
2. Case Study question - open ended conversation, interviewer guides you along well. looking for structure and thought process here
I applied online and after about a week, I received an email from the recruiter with a 15-question questionnaire. The next day, they scheduled a 1-hour interview consisting of a 30-minute case study and 30-minute SQL round.
I spent significant time preparing and felt the interview went well. However, I received a rejection within 15 minutes after the interview ended.
Honestly, the process felt discouraging. It almost seemed like the interview was conducted more for internal interviewer training than genuine hiring consideration.
If you're interviewing there, I’d suggest treating it mainly as practice and interview experience rather than getting overly invested in the outcome.
Interview questions [1]
Question 1
SQL - Window Functions, Rank, Lag. Case Study - Bikers an an option for food delivery.