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      DoorDash

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      Related searches: DoorDash reviews | DoorDash jobs | DoorDash salaries | DoorDash benefits | DoorDash conversations
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      Data Scientist Interview

      Jul 6, 2022
      Anonymous Interview Candidate
      No offer
      Negative experience
      Difficult interview

      Application

      I applied through a recruiter. The process took 2 weeks. I interviewed at DoorDash in Jul 2022

      Interview

      Initial Recruiter Screen: 30 min phone call to share background and learn more about the role This was pretty straightforward. The recruiter had reached out to me, and gave me info about the role, team, etc. Round 2: 30 min case interview + 30 min SQL code I echo sentiments across Glassdoor re the data scientist interview. This was an awful experience. They are not here to get to know you, they are here to weed you out. They give you some prep materials before the interview that stress how important communication is in the interview, but both of these interviewers were like robots. They did nothing to make me feel comfortable or to make Doordash seem like an appealing place to work as they seem to take for a given that everyone would want to work there. I almost didn't take the interview after reading everything on Glassdoor about the data scientist interview process. The case interview part was pretty standard, they're looking for you to talk about the metrics for Doordash's business. The interviewer didn't say much and was writing down my answers. It was difficult to make it conversational with this person, but I think they are trained to behave this way in interviews. I normally get very energized during case question interviews, but in the absence of a welcoming environment or much response to what I was saying except an occasional nod, it was difficult to think clearly. For the SQL part of the interview, the SQL code has to be perfect, so they will harp on syntax issues until you find them. You also have to code very fast with multiple CTEs on a pseudo dataset based on Doordash's business without being able to run anything. It's nothing like coding in the real world, which is really frustrating. I got a bit flustered with the time pressure and having someone sit there silently with their camera off watching me. It is not a welcoming environment at all. I think it says a lot about their culture if this is the way that they interview. I had 3 questions, but I think there's 4 total if you're fast enough. There was a definite lack of genuineness from both interviewers. Even in my questions to them, I got very stock answers to my questions so it was difficult to really get a sense of what it's like working there.

      Interview questions [1]

      Question 1

      SQL questions that cover aggregations, ratio, lag, growth, etc. Have to write multiple CTEs to answer question. Case interview about a new product/service for Doordash's business.
      Answer question
      5
      avatar
      DoorDash response
      3y
      Thank you so much for sharing your feedback - we are very sorry to hear that your interviewing experience with us did not meet expectations. We strive to ensure that each candidate feels welcomed, respected, and prepared in their interactions with our hiring team, and we are committed to utilizing your valuable insights to improve for the future. If you have additional feedback that might help us better our candidate experience, please send to recruiting@doordash.com.

      Other Data Scientist Interview Reviews for DoorDash

      Data Scientist Interview

      Jul 12, 2026
      Anonymous Interview Candidate
      New York, NY
      No offer
      Positive experience
      Average interview

      Application

      I interviewed at DoorDash (New York, NY)

      Interview

      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
      Answer question

      Data Scientist Interview

      Jul 23, 2026
      Anonymous Interview Candidate
      São Paulo, São Paulo
      No offer
      Positive experience
      Average interview

      Application

      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.
      Answer question

      Data Scientist Interview

      Jul 8, 2026
      Anonymous Interview Candidate
      San Francisco, CA
      No offer
      Positive experience
      Difficult interview

      Application

      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.
      Answer question
      2

      DoorDash interviews FAQs

      • 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 -

        1. Dasher (Driver)(2404) ;
        2. Driver(1667) ;
        3. Delivery Driver(1219) ;
        4. Dasher(1126) ;
        5. Food Delivery Driver(231) ;
        6. Independent Contractor(220) ;
        7. Door Dash Driver(185) ;
        8. Doordasher(181) ;
        9. Software Engineer(171) ;
        10. Courier(129) ;
        11. Customer Service Representative(118) ;
        12. Door Dasher(112) ;
        13. Account Executive(88) ;
        14. Door Dasher Driver(81) ;
        15. Operations Associate(66) .


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      Jobs at DoorDash

      12 jobs in United States
      Data Scientist / Senior Data Scientist
      Washington, DC
      ·
      $124K - $183K /yr
      (Employer provided)
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      Lead Data Scientist
      San Francisco, CA
      ·
      $220K - $323K /yr
      (Employer provided)
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      Machine Learning Engineer, Marketplace Optimization
      San Francisco, CA
      ·
      $137K - $202K /yr
      (Employer provided)
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      Director, Analytics, New Verticals Consumer
      Seattle, WA
      ·
      $255K - $375K /yr
      (Employer provided)
      View job
      Manager, Data Science
      San Francisco, CA
      ·
      $184K - $271K /yr
      (Employer provided)
      View job
      View all Data Scientist Jobs