Build and deploy an uplift targeting model

Quick Overview

This question evaluates a candidate's ability to design and deploy uplift/causal targeting models, covering causal inference, uplift estimation, pre-treatment feature engineering and leakage prevention, policy optimization under budget and capacity constraints, offline and online evaluation, fairness considerations, and fraud mitigation.

Build and deploy an uplift targeting model

Company: Uber

Role: Data Scientist

Category: Machine Learning

Difficulty: hard

Interview Round: Onsite

Overview: This question evaluates a candidate's ability to design and deploy uplift/causal targeting models, covering causal inference, uplift estimation, pre-treatment feature engineering and leakage prevention, policy optimization under budget and capacity constraints, offline and online evaluation, fairness considerations, and fraud mitigation.

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Uber
Oct 13, 2025
hardData ScientistOnsiteMachine Learning
6
0
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