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 18% positive. To compare, the company-average is 35.4% 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 90 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 90 Glassdoor interviews include:
Phone interview: 31%
One on one interview: 26%
Skills test: 19%
Presentation: 12%
Group panel interview: 5%
Other: 4%
Drug test: 2%
Background check: 2%
Personality test: 1%
IQ intelligence test: 1%
Here are the most commonly searched roles for interview reports -
I applied through a recruiter. The process took 2 weeks. I interviewed at DoorDash (San Jose, CA) in Nov 2022
Interview
Standard technical screen interview with your usual query of database and basic data manipulation using some version of SQL, doing some joins and the like. Really similar to other roles that require knowledge of SQL.
Interview questions [1]
Question 1
Here is table A with these variables like dashers and their location and orders, here is table B with orders and their prices. Find the average delivery per dasher. Sort dashers by largest total order.
phone screen and Zoom meeting with the hiring manager for 30 minutes. After that, I did a take-home assignment and submitted it in 72 hours, but i did not pass this one
Interview questions [1]
Question 1
What is your experience, and why are you interested in this position
I applied through a recruiter. I interviewed at DoorDash (São Paulo, São Paulo) in Jul 2026
Interview
Quick HR screening where they talk about the role, salary, benefits and how the entire hiring process works. Then there is the technical screening. Round 1 is a SQL round (hackerrank medium-level) with questions that are resemble the actual work that they do there. There are 4 questions, but there's barely any time for the last question and I was told it's not actually expected that you solve it all. Round 2 is a case study, just an open-ended business problem and you have to walk them through how you would deal with it.
Virtual onsite is 4 rounds - 1 round with a cross-functional partner (behavioral) and 3 case studies just like the technical screening, they're just checking for consistency here, there's nothing new to expect.
Interview questions [1]
Question 1
SQL were very trivial questions just involving CTEs and group bys. 3rd question was the hardest and required you to compute a metric relative to the last month, so do refresh your knowledge on window functions.
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.