Lyft Data Scientist (Entry Level) - Comprehensive Interview Preparation Guide
Data Scientist
Lyft
entry
7 rounds
Updated 11/22/2025
Lyft's Data Scientist interview process for entry-level candidates consists of 7 stages: an initial recruiter screening call, a technical phone screen with a data scientist covering fundamentals of machine learning and SQL, a 24-hour take-home case study on rideshare data analysis, and four on-site virtual interviews (or in-person if applicable) covering business case studies, technical coding challenges, analytical problem-solving, and behavioral/cultural fit assessment. The process evaluates your understanding of data science fundamentals, practical coding skills with Python/SQL, ability to approach real-world business problems with data-driven insights, and cultural alignment with Lyft's mission and values.
Interview Rounds
1
Recruiter Screening
20 min4 focus topicsculture fit
2
Technical Phone Screen
40 min7 focus topicstechnical
3
Take-Home Challenge
1440 min8 focus topicscase study
4
On-Site Interview Round 1: Business Case Study
45 min7 focus topicscase study
5
On-Site Interview Round 2: Technical Interview - Coding and SQL
45 min6 focus topicstechnical
6
On-Site Interview Round 3: Technical Interview - Machine Learning and Decisions
45 min7 focus topicstechnical
7
On-Site Interview Round 4: Behavioral and Cultural Fit
45 min7 focus topicsbehavioral
Additional Information