How should Uber evaluate lower ETA?

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Quick Overview

This question evaluates competency in metrics design, causal inference, and experiment strategy for two-sided marketplaces, including detecting and addressing interference, interpreting observational correlations versus causal effects, and understanding statistical inference and subgroup selection bias.

How should Uber evaluate lower ETA?

Company: Uber

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Technical Screen

Overview: This question evaluates competency in metrics design, causal inference, and experiment strategy for two-sided marketplaces, including detecting and addressing interference, interpreting observational correlations versus causal effects, and understanding statistical inference and subgroup selection bias.

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

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Uber
Jan 30, 2026
mediumData ScientistTechnical ScreenAnalytics & Experimentation
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