DoorDash Data Scientist Interview Preparation Guide - Junior Level
Data Scientist
Doordash
Junior
6 rounds
Updated 11/22/2025
DoorDash's Data Scientist interview process for junior-level candidates consists of 6 rounds designed to assess SQL proficiency, product analytics thinking, machine learning fundamentals, and behavioral competencies. The process begins with a recruiter screen, followed by a technical phone screen focused on SQL and analytics, and concludes with 4 onsite rounds covering product case analysis, machine learning modeling, advanced SQL challenges, and behavioral/cross-functional collaboration. The entire process typically spans 3-4 weeks from initial application to final decision.
Interview Rounds
1
Recruiter Screening
40 min4 focus topicsbehavioral
2
Technical Screen - SQL & Analytics
60 min5 focus topicstechnical
3
Onsite Round 1 - Product Metrics & Case Analysis
55 min4 focus topicscase study
4
Onsite Round 2 - Machine Learning & Modeling
55 min5 focus topicstechnical
5
Onsite Round 3 - Advanced SQL & Data Manipulation
55 min5 focus topicstechnical
6
Onsite Round 4 - Behavioral & Cross-Functional Collaboration
55 min6 focus topicsbehavioral
Additional Information