DoorDash Staff Data Scientist Interview Preparation Guide
Data Scientist
Doordash
Staff
8 rounds
Updated 11/22/2025
DoorDash's Staff Data Scientist interview process is comprehensive and multi-stage, designed to assess technical depth, business acumen, and leadership capabilities. The process typically spans 4-6 weeks and includes a recruiter screening, one technical phone screen, and six onsite rounds covering SQL analytics, machine learning, product metrics & A/B testing, data infrastructure & systems design, behavioral & leadership competencies, and a technical take-home project. For Staff level candidates, the emphasis extends beyond technical execution to strategic thinking, mentorship, cross-functional influence, and the ability to drive high-impact initiatives across the organization.
Interview Rounds
1
Recruiter Screening
60 min4 focus topicsculture fit
2
Technical Phone Screen
60 min3 focus topicstechnical
3
Onsite Round 1: SQL Analytics & Metrics Deep Dive
90 min4 focus topicstechnical
4
Onsite Round 2: Machine Learning & Statistical Modeling
75 min5 focus topicstechnical
5
Onsite Round 3: Product Metrics & A/B Testing
75 min4 focus topicscase study
6
Onsite Round 4: Data Infrastructure & Systems Thinking
75 min4 focus topicssystem design
7
Onsite Round 5: Behavioral & Leadership
60 min5 focus topicsbehavioral
8
Onsite Round 6: Take-Home Project & Technical Deep Dive
120 min4 focus topicstechnical
Additional Information