DoorDash Data Scientist Interview Experiences & Questions
6 candidates share their DoorDash Data Scientist interviews: each round, the questions asked and the outcome. Latest: Apr 2026.
What to expect · DoorDash Data Scientist
Based on 6 real interviews
The DoorDash Data Scientist interview process
Most common round types: Behavioral (4), Data Analysis (3), SQL (3), Statistics & Experimentation (3), Coding (2), Analytical (1).
Real DoorDash Data Scientist interview questions
- How do you measure if our current advertising product is working properly or not?
- Write SQL to answer progressively harder questions from the tables provided.
- How would you design an A/B test to optimize dasher time?
- Find the monthly ratio of high frequency ordering customers(>30) to total no. of customers
- How would you improve Dasher ETA?
- How would you measure success for adding in-store search to grocery on DoorDash?
- We have cold food that's arriving at the customer and they're unhappy. What would you do to solve it?
- Tell me about a time when you used a specific metric to drive change in your department.
- How do you justify investing more resources into the new verticals product space?
- How to solve the cold food problem at DoorDash?
- Case Study on solving the cold food problem
- What is the size and type of data you work with?
- Please provide a high-level overview of your current/most recent role and the projects/business problems you’re solving with data.
- Why DoorDash?
- Tell me about yourself.
- What interests you about DoorDash?
- How do you work with non-technical stakeholders?
- Tell me about one of your favorite projects.
All 6 DoorDash Data Scientist interview experiences
“The process was fast, recruiter communicated via emails. A technical round with some easy to medium SQL questions and a case study. The final round has 3 case studies and 1 behavioral question round.”
“The process was smooth. The coding assessment(SQL) section needs serious preparation before any attempt. The case study section was as per expecations and followed the generic pattern.”
“Overall it was a mixed bag, somewhere I felt that I really did well but somewhere I couldn't judge if interviewer is liking my responses. It was very open ended”
“The process was pretty straightforward. The recruiter reached out over LinkedIn, asked a bunch of questions, and then we went into the case study and the SQL round. I believe I passed the SQL round…”
“Recruiter was very helpful, shared guides and interview tips. Study on the 3 sided marketplace, consumers, merchants, dashers. Interviewers were friendly”
“The SQL interviewer literally stopped me mid-explanation and said, “We’re not interested in your explanation. My job is just to make sure you get the right answer,” which honestly made the whole…”
More: all DoorDash interviews · Data Scientist interviews at every company
Frequently asked questions
How many rounds are in the DoorDash Data Scientist interview?
Candidates report a typical 2 rounds, usually including a recruiter screen, phone screen, technical round, final / onsite round.
How hard is the DoorDash Data Scientist interview?
Candidates rate it 3.3/5 on average (medium), across 6 interviews.
How long does the DoorDash Data Scientist hiring process take?
About 2 weeks from first contact to decision, based on reported timelines.
What percentage of DoorDash Data Scientist candidates get an offer?
0% of candidates with a final result got an offer (0 of 4).
What does the DoorDash Data Scientist interview focus on?
The most common round types are Behavioral, Data Analysis, SQL, Statistics & Experimentation.