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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.

What difficulty level is this interview question?

This is a medium difficulty Machine Learning question, commonly asked during Onsite rounds at TikTok.

What role is this question designed for?

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

Predict Customer Churn with Machine Learning Workflow

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a data scientist's competency in end-to-end supervised machine learning workflows—covering feature engineering, model evaluation, handling class imbalance, and deployment—within the Machine Learning domain.

TikTok

Jul 12, 2025, 6:59 PM

Data Scientist

Onsite

Machine Learning

Predicting Monthly Churn: End-to-End Workflow

Scenario

A subscription platform wants to predict whether a customer will churn in the next month.

Assumption (for clarity): Define churn (y = 1) as a subscriber whose plan is not active by the end of the next 30 days (e.g., cancels or fails to renew). Features used to predict churn at time T must only use data available up to T.

Questions

Outline the end-to-end workflow—from feature engineering through model deployment—to build a churn predictor.
Which evaluation metrics would you prioritize and why?
How would you handle severe class imbalance during training?

Solution

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