Tiktok Data Scientist Analytics & Experimentation Interview Questions
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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...
Investigate Traffic Distribution Impact on Retention Decrease
A/B Test Diagnostics: Did Traffic Distribution Cause the Retention Drop? Context An A/B test changed a button's color from green (control) to red (tre...
Evaluate Home-Feed Diversity's Impact on User Engagement Metrics
Home-Feed Diversity: Benefits, Metrics, Biases, and Experiment Design Context You run a personalized home feed where each post is tagged with one or m...
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...
Track Key Metrics for Apple's New Phone Launch
Product Analytics Scenario: Launch Dashboard Context You are a data scientist at a short-form video/social platform. Apple has launched a new phone an...
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...
Improve TikTok's Algorithm for Diverse Content Discovery
Product Feedback and Experimentation Case Context You are a frequent TikTok user interviewing for a Data Scientist (Analytics & Experimentation) role....
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...
Diagnose Search Issues with Relevant Metrics and Solutions
Brand-Name Search: Diagnosing Relevance and Safety Issues Scenario Brand clients report that when users search for their own brand name (e.g., "Apple"...
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...
Investigating Correlation Between Ad Visits and Reports
Scenario You are on the analytics team at a large social media platform. A positive correlation has been observed between the number of page visits to...
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...
Prove conversion ads value via incrementality
Measuring Incremental Lift of Conversion-Optimized Ads Context An e-commerce advertiser is running conversion-optimized ads and requests rigorous proo...
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...
Test 15s to 60s video length change
Experiment Design: Change Default Creator Video Length from 15s to 60s Context You are designing an A/B test for a short‑form video platform with two ...
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...
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...
Diagnose a watch-time drop and design experiments
Evaluate a New Preloading Strategy for a Short‑Video App (New Users) Context On 2025‑08‑20, a new preloading strategy was rolled out to 30% of traffic...
Causally measure traffic reduction effectiveness
Causal Impact of Traffic Throttling on Flagged Sellers Context A traffic throttling policy was launched for sellers flagged as risky. Because the roll...