Evaluate Promotions for Uber Eats Users
Company: Uber
Role: Data Scientist
Category: Machine Learning
Difficulty: medium
Interview Round: Technical Screen
Overview: This question evaluates a data scientist's causal inference and experimentation competencies—including randomized trial design, treatment-effect estimation, metrics specification, and economic impact analysis for promotions in a multi-sided food-delivery marketplace—and is classified under the Machine Learning domain with emphasis on practical application supported by conceptual understanding. It is commonly asked to assess how a candidate handles confounding and interference, selects primary and guardrail metrics, and translates incremental impact estimates into profit-focused launch decisions in real-world marketplace settings.