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Machine Learning questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master machine learning interviews.

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This is a hard difficulty Machine Learning question, commonly asked during Onsite rounds at Uber.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Uber during technical interviews.

Build and deploy an uplift targeting model

Last updated: Mar 29, 2026

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.

hard
Uber
Machine Learning
Data Scientist

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Build and deploy an uplift targeting model

Uber

Oct 13, 2025, 9:49 PM

hardData ScientistOnsiteMachine Learning

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