Lyft Data Scientist (Staff Level) Interview Preparation Guide
Data Scientist
Lyft
Staff
7 rounds
Updated 11/22/2025
Lyft's Data Scientist interview process is a comprehensive multi-stage evaluation designed to assess technical depth, strategic thinking, leadership capabilities, and cultural alignment. For Staff-level candidates, the process emphasizes architectural thinking, cross-functional influence, mentorship ability, and the capacity to drive business impact at scale. The process spans 4-6 weeks and consists of an initial recruiter screen, a technical phone screen, and 5 virtual onsite interviews conducted over 1-2 days. Each round targets different competencies: business acumen, advanced ML/coding skills, project ownership, leadership, and cultural fit.
Interview Rounds
1
Recruiter Screening
45 min5 focus topicsbehavioral
2
Technical Phone Screen
45 min6 focus topicstechnical
3
Onsite Round 1: Advanced Machine Learning and System Design
45 min6 focus topicstechnical
4
Onsite Round 2: Business Case and Metrics Design
45 min5 focus topicscase study
5
Onsite Round 3: Technical Coding and Implementation
45 min5 focus topicstechnical
6
Onsite Round 4: Leadership, Mentorship, and Project Deep Dive
45 min5 focus topicsbehavioral
7
Onsite Round 5: Behavioral, Values Alignment, and Cultural Fit
45 min5 focus topicsbehavioral
Additional Information