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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

2

Technical Phone Screen

3

Take-Home Challenge

4

Onsite Round 1: Technical Coding & SQL Interview

5

Onsite Round 2: Statistics & Experimental Design

6

Onsite Round 3: Machine Learning & Modeling

7

Onsite Round 4: Business Case Study & Product Analytics

8

Onsite Round 5: Behavioral & Team Collaboration

Additional Information

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Lyft Data Scientist Interview Preparation Guide - Junior Level (1-2 Years) | InterviewStack.io