Data Scientist applicants have rated the interview process at DoorDash with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 16% positive. To compare, the company-average is 35.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 21 days to get hired, when considering 89 user submitted interviews for this role. To compare, the hiring process at DoorDash overall takes an average of 24 days.
Common stages of the interview process at DoorDash as a Data Scientist according to 89 Glassdoor interviews include:
Phone interview: 30%
One on one interview: 26%
Skills test: 19%
Presentation: 12%
Other: 4%
Group panel interview: 4%
Background check: 2%
Drug test: 2%
Personality test: 2%
IQ intelligence test: 1%
Here are the most commonly searched roles for interview reports -
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.