Tiktok Data Scientist Analytics & Experimentation Interview Questions
Practice the exact questions companies are asking right now.
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Define Ultra success metrics and detect suspicious transactions
You work on a fintech product with these existing tables (UTC timestamps). You may only use these tables/columns; if a metric cannot be measured direc...
Define and critique a user activity metric
Context You are on a product team and need to define a metric for user activity to be used in dashboards and decision-making. Question 1. Propose 2–4 ...
Diagnose a sudden metric spike or drop
Investigate a 3-Day Jump in Checkout Conversion Rate (CCR) Context On 2025-06-12, the daily Checkout Conversion Rate (CCR) increased from 3.2% to 4.5%...
Design an interference-robust A/B test for monetization
A/B Test Design: New Tipping UI on Creator Posts Context: You are launching a new tipping UI on creator (PGC/OGC) posts to increase creator monetizati...
Measure Ads Manager effectiveness end-to-end
Measure TikTok Ads Manager's Effectiveness on Advertiser Success Context: You are evaluating new Ads Manager capabilities (e.g., workflow streamlining...
Decide launch of downranking suspected bad sellers
Experiment Design: Downranking Suspected Bad Sellers in Search Context - You are designing a decision framework and online experiment to test penalizi...
Design A/B Test for Cost-Per-Conversion Efficiency Analysis
Multi-Arm A/B Test: Comparing Cost-Per-Conversion Across Channels Scenario You need to compare four new acquisition channels—YouTube ads, Google Searc...
SQL Queries and Analysis on Bad Advertisers
Scenario You are on the analytics team at TikTok and need to analyze the presence of bad content in ads and identify problematic advertisers. Question...
Measure Billboard Campaign Effectiveness and Engagement Quantification
Measuring Offline Billboard Campaign Effectiveness Scenario A social platform (e.g., Pinterest) runs an offline marketing campaign by placing billboar...
Design and evaluate a dasher bike rollout
Program Evaluation: Allow Car Dashers to Also Use Their Own Bikes/E-bikes Context DoorDash (DD) will relaunch an opt-in feature that lets existing car...
Design incrementality test for TikTok ads
Design an Incrementality Test to Prove TikTok Ads Drive Lift in Conversions You are an advertiser who wants to causally prove that TikTok ads increase...
Diagnose metric drop in Ads Manager
Investigate a 15% Drop in Ad-Creation Completion Rate Context On 2025-06-10, your Ads Manager dashboard shows a 15% relative decrease in the ad-creati...
Plan DS approach for biker delivery project
You are a Data Scientist supporting a “biker” (delivery rider) product/project for a food-delivery platform. An interviewer gives only a short descrip...
Troubleshoot Sudden KPI Drop After Recent Product Release
Scenario A product dashboard shows a sudden drop in a key business KPI immediately after a new release was rolled out to users. Task Walk through how ...
Balance Customer Satisfaction with Fraud Prevention: Key Metrics to Track
Balancing Customer Experience and Fraud Prevention Scenario In a consumer app with payments (e.g., in‑app purchases, wallet top-ups, withdrawals, crea...
Analyze Negative Reviews' Impact on Coupon Repurchase Rate
Scenario Management wants to measure how negative customer reviews affect the repurchase rate of a coupon. Task Design an analysis to quantify the cau...
Analyze promo anomaly and design risk guardrails
During a 2‑hour 11.11 flash sale (11:00–13:00), an account A123 places 80 orders in 10 minutes using 12 payment cards across 5 device_ids; 9 orders sh...
Investigate visit–report correlation causality
Causal Diagnosis: Do More Ad Page Visits Cause More Reports? Context You observe a positive correlation between the number of ad page visits and the p...
Design robust A/B test with interference and seasonality
Experiment Design: Redesigned Onboarding with Network Effects and Weekly Seasonality Background You are launching a redesigned onboarding flow for a c...
Design and decompose Trust & Safety risk metrics
You are a Data Scientist in a Trust & Safety team for a short-video platform (similar to TikTok/Reels). The team asks: “How would you design risk metr...