How do I approach Machine Learning interview questions?

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

What difficulty level is this interview question?

This is a medium difficulty Machine Learning question, commonly asked during Technical Screen rounds at Gusto.

What role is this question designed for?

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

Build Churn Prediction and Survival Models

Last updated: Jun 21, 2026

Quick Overview

This question evaluates a data scientist's competency in end-to-end churn prediction and time-to-event modeling in the Machine Learning domain, covering four model families—linear regression, logistic regression, decision-tree models, and survival analysis—while touching on problem definition, label design, feature engineering, model evaluation, interpretability, calibration, and operationalization for lifecycle-marketing. It is commonly asked to assess the ability to translate behavioral, billing, and support data into actionable, production-ready models while reasoning about class imbalance, data leakage and selection bias, relevant evaluation metrics, and the balance between conceptual understanding and practical application.

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Build Churn Prediction and Survival Models

Gusto

May 27, 2026, 12:00 AM

mediumData ScientistTechnical ScreenMachine Learning

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