Measure fake account prevalence

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Quick Overview

This question evaluates a data scientist's competency in fraud measurement, statistical estimation, experimental design, and model evaluation for detection systems, including consideration of class imbalance, delayed labels, selection bias, false-positive harm, and adaptive attacker behavior.

Measure fake account prevalence

Company: Meta

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Onsite

Overview: This question evaluates a data scientist's competency in fraud measurement, statistical estimation, experimental design, and model evaluation for detection systems, including consideration of class imbalance, delayed labels, selection bias, false-positive harm, and adaptive attacker behavior.

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

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Feb 22, 2026
mediumData ScientistOnsiteAnalytics & Experimentation
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