Investigate MAU Drop and Test Coupons

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Quick Overview

This question evaluates a data scientist's competency in product analytics, causal inference, experimentation design, metric decomposition, user segmentation, retention modeling, and business-impact estimation.

Investigate MAU Drop and Test Coupons

Company: Lyft

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Technical Screen

Overview: This question evaluates a data scientist's competency in product analytics, causal inference, experimentation design, metric decomposition, user segmentation, retention modeling, and business-impact estimation.

Read the full Lyft Data Scientist interview experience this question came from

|Home/Analytics & Experimentation/Lyft
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Lyft
Jan 20, 2026
mediumData ScientistTechnical ScreenAnalytics & Experimentation
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