Lyft Data Scientist Interview Preparation Guide - Junior Level (1-2 Years)
Data Scientist
Lyft
Junior
8 rounds
Updated 11/22/2025
Lyft's data scientist interview process is a comprehensive multi-stage evaluation designed to assess technical proficiency, analytical thinking, business acumen, and cultural fit. The process combines phone screens, a take-home assignment, and multiple on-site rounds to evaluate candidates across statistics, machine learning, SQL, and business problem-solving. For junior-level candidates, expect a 4-6 week process from initial application to offer, with emphasis on foundational competencies, learning ability, and collaborative potential rather than advanced expertise.
Interview Rounds
1
Recruiter Screening
25 min4 focus topicsculture fit|behavioral
2
Technical Phone Screen
40 min5 focus topicstechnical
3
Take-Home Challenge
180 min5 focus topicstechnical|case study
4
Onsite Round 1: Technical Coding & SQL Interview
45 min3 focus topicstechnical
5
Onsite Round 2: Statistics & Experimental Design
45 min4 focus topicstechnical
6
Onsite Round 3: Machine Learning & Modeling
45 min5 focus topicstechnical
7
Onsite Round 4: Business Case Study & Product Analytics
45 min5 focus topicscase study|business
8
Onsite Round 5: Behavioral & Team Collaboration
45 min4 focus topicsbehavioral
Additional Information