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DoorDash Data Scientist Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 133 interview experiences · FREE TO READ

2.2 Rounds average
Average Typical difficulty
21.8% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at DoorDash.

Showing 3 of 133
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DoorDash

Data Scientist

Analytics · nearly a year ago

Mid Average Neutral experience No offer 4 rounds
Interview process
Technical screen Onsite Background check Offer
Interview formats
Technical Case Behavioral

The tech round was pretty easy, covering SQL and a case study. The final round consisted of two case study rounds, one business partner behavioral round, and a final HM round that included both behavioral questions and a case study (so I had 3 case studies in total). I think I messed up in one of the case study rounds, so you should really prepare well for this. Make sure to have a clear structure for answering questions, research DD products and the customer funnel, and consider the impact on all parties involved (especially in a 3-sided marketplace). Also, be really good at A/B testing, including all the steps, interpreting results, and making tradeoffs.

Confirmed questions1 question
  • Could you describe the steps you would take to test feature x?
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DoorDash

Data Scientist

Analytics · nearly a year ago

Mid Difficult Positive experience No offer 5 rounds
Interview process
Recruiter call Technical screen Technical screen Technical screen Onsite
Interview formats
Case Technical Behavioral

The hiring journey kicks off with an HR screening, which involves a basic case study and an SQL test. After that, there are three more in-depth case study interviews. The whole process wraps up with a final chat with a Product Manager. Plan for this to take about two weeks.

Confirmed questions2 questions
  • For the PM interview, make sure to have plenty of personal stories ready, especially for common behavioral questions like handling conflict.
  • Regarding the case studies, they're quite challenging. Focus on thoroughly preparing metrics, promotion strategies, and the ins and outs of A/B testing, as this is crucial and will definitely be a part of your assessment.
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DoorDash

Data Scientist

Analytics · a year ago

Senior Average Negative experience No offer 1 round
Interview process
Technical screen
Interview formats
Technical Case

I had a technical screen that was split into two parts: 30 minutes for SQL and 30 minutes for a case study. The interviewer for the SQL part was quite unprofessional, not even offering a greeting before diving into the questions. She didn't type out the four SQL questions, expecting me to recall them, and wasn't very clear when stating them. When I asked her to repeat a question due to a poor internet connection, she stated she had already asked it. Most unusually, when I tried to use a table created in question 1 for question 2, she insisted I retype the entire query, and the same happened for questions 3 and 4. I ran out of time, which I feel could have been avoided with a more professional and reasonable interviewer. It was a very negative experience, and I'm glad I was rejected as it highlights potential issues with interviewer training and company culture.

Confirmed questions2 questions
  • Some SQL questions
  • A case study

DoorDash Data Scientist Interview Questions

Quoted word for word from DoorDash interview reports.

Given that 3 individuals ordered food from 5 distinct restaurants, determine the third fastest delivery for each person.

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Given that deliveries in the LA area are experiencing a 10-day delay, what are the potential causes for this issue?

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Given a dataset with various delivery details and the actual delivery times, select and train a model using your choice of algorithm to predict delivery time.

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Could you write a Python program to parse dates and format them for food delivery cars?

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In the context of urban versus rural settings, how would you determine the minimum detectable effect?

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What was the average order value for a specific item within a given time frame?

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Could you determine the percentage of top customers within orders and how frequently they placed them using SQL?

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If a sample size calculation indicates that 2 days are sufficient for an experiment, would you adhere strictly to that duration?

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For each case study, how would you design an experiment to measure the impact of a 5% discount on delivery fees?

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Formats, difficulty and experience

Across all 133 DoorDash interview reports.

Interview formats

Technical 32.9%
Case 29.8%
Coding 24.9%
Behavioral 9.5%
Presentation 2.2%

Interview difficulty

Easy 6.8%
Average 72.2%
Difficult 21.1%

Candidate experience

Neutral 27.8%
Negative 50.4%
Positive 21.8%