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 91 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 91 Glassdoor interviews include:
Phone interview: 31%
One on one interview: 26%
Skills test: 19%
Presentation: 11%
Group panel interview: 5%
Other: 4%
Personality test: 2%
Background check: 2%
Drug test: 2%
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 (Montreal, QC)
Interview
The process starts with an HR round that includes a basic case study and SQL assessment, followed by three intensive case study rounds, and concludes with a final interview round with a Product Manager. Process will take ~ 2 weeks
Interview questions [1]
Question 1
For PM round - Prep lots of stories from your life. They ask the most basic questions like conflict, etc
For case study - It isn't as easy. Prep really well on metrics, promos and on methods of AB testing (This is imp to nail and you will def be tested on this)
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 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