Design promo experiment and explain correlation

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Quick Overview

This question evaluates causal inference, observational data interpretation, and randomized experiment design skills in a two-sided marketplace context, focusing on confounding, selection effects, interference, and metric definition.

Design promo experiment and explain correlation

Company: Uber

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: hard

Interview Round: Technical Screen

Overview: This question evaluates causal inference, observational data interpretation, and randomized experiment design skills in a two-sided marketplace context, focusing on confounding, selection effects, interference, and metric definition.

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

|Home/Analytics & Experimentation/Uber
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Uber
Sep 16, 2025
hardData ScientistTechnical ScreenAnalytics & Experimentation
7
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