Lyft Senior Data Scientist Interview Preparation Guide
Data Scientist
Lyft
Senior
7 rounds
Updated 11/22/2025
Lyft's Data Scientist interview process is structured to evaluate technical proficiency in statistics, machine learning, and SQL; analytical problem-solving abilities through real-world business scenarios; and cultural alignment with cross-functional collaboration. The process spans multiple weeks and includes a phone-based technical assessment, a 24-hour take-home challenge with ridesharing datasets, and a full day of on-site interviews with data scientists, analysts, and hiring managers. For Senior-level candidates, the evaluation emphasizes ownership of complex projects, mentorship capabilities, and strategic decision-making.
Interview Rounds
1
Recruiter Screening
25 min4 focus topicsculture fit
2
Technical Phone Screen
40 min6 focus topicstechnical
3
Take-Home Challenge
480 min6 focus topicscase study
4
On-site Round 1: Machine Learning & Advanced Analytics Deep Dive
55 min6 focus topicstechnical
5
On-site Round 2: Product Analytics & Experimentation Design
55 min5 focus topicstechnical
6
On-site Round 3: Business Strategy & Complex Case Studies
55 min5 focus topicscase study
7
On-site Round 4: Behavioral Interview & Cultural Fit
55 min6 focus topicsbehavioral
Additional Information