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Build a Churn Prediction Model

Last updated: Jun 21, 2026

Quick Overview

This question evaluates a candidate's competency in end-to-end churn modeling, including precise label definition, point-in-time feature engineering and leakage prevention, handling imbalanced/rare positive classes, ranking-focused evaluation, model selection, production scoring cadence, and explainability for stakeholders.

  • medium
  • Gusto
  • Machine Learning
  • Data Scientist

Build a Churn Prediction Model

Company: Gusto

Role: Data Scientist

Category: Machine Learning

Difficulty: medium

Interview Round: Onsite

Quick Answer: This question evaluates a candidate's competency in end-to-end churn modeling, including precise label definition, point-in-time feature engineering and leakage prevention, handling imbalanced/rare positive classes, ranking-focused evaluation, model selection, production scoring cadence, and explainability for stakeholders.

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|Home/Machine Learning/Gusto

Build a Churn Prediction Model

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Gusto
May 29, 2026, 12:00 AM
mediumData ScientistOnsiteMachine Learning
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