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

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

Predict User Churn with Effective Modeling Techniques | TikTok Interview Question

Predict User Churn with Effective Modeling Techniques

Last updated: Mar 29, 2026

Quick Overview

This question evaluates skills in predictive modeling for churn, temporal feature engineering and data-leakage awareness, handling class imbalance, and selecting evaluation metrics for subscription retention scenarios in the Machine Learning domain.

TikTok

Aug 4, 2025, 10:55 AM

Data Scientist

Onsite

Machine Learning

Predicting User Churn for a Subscription App

Context

You are building a model to predict which active subscribers are likely to churn soon so the team can target retention offers. Assume:

Label: churn in the next 30 days (cancel subscription or no activity for 30 days).
Features: recent engagement (recency, frequency, session duration), tenure, plan type, payment history, support interactions, device/geo, marketing touches.
Data is time-ordered; avoid leakage by using only information available before the prediction date.

Tasks

(a) Which modeling techniques would you consider and why?

(b) How would you address class imbalance?

Solution

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