TikTok Data Scientist Analytics & Experimentation Interview Questions
Practice 43 real Analytics & Experimentation interview questions for Data Scientist roles at TikTok.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
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...
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...
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%...
How would you measure misinformation impact and recommendation bias?
This question evaluates a data scientist's analytics and experimentation competencies — including metric and diagnostic design, sampling and labeling ...
Define and critique a user activity metric
This question evaluates a candidate's ability to design and critique user-activity metrics, covering event-level instrumentation, metric validity, and...
Design a creator posting-frequency experiment
This question evaluates experimental design and causal inference competencies for a Data Scientist, including precise metric definition, randomization...
Design robust metrics for a feature launch
A/B Test Metrics and Guardrails for Quick Reply (1-week) Context You are adding a Quick Reply feature (suggested reply chips in the DM composer) to a ...
Drive product decisions with causal product sense
Experimenting on a New Paywall with Likely Spillovers Context You are designing an experiment to evaluate a new paywall on a social/content app where ...
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...
Design Metrics for Content Moderation and Chatbot Evaluation
Design Metrics for Content Moderation and Chatbot Evaluation Scenario Trust & Safety data science: You are asked to design metrics for two situations:...
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...
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 and decompose Trust & Safety risk metrics
This question evaluates a data scientist's competency in Trust & Safety metric design, including defining primary and diagnostic metrics, decomposing ...
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 causal measurement without randomization
Causal Study Design: Notification Feature Impact on 7-Day Retention Context: A new notification feature shipped on 2025-06-01. Randomized rollout was ...
Design A/B Test for Cost-Per-Conversion Efficiency Analysis
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 com...
Diagnose Traffic Allocation in A/B Test Results
Diagnose Traffic Allocation in A/B Test Results Scenario A consumer app ran an A/B test that changed a call-to-action (CTA) button from green (control...
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...
Diagnose a watch-time drop and design experiments
This question evaluates a data scientist's competency in experimental design, causal inference, metric selection and definition, segmentation, and sta...
Diagnose Search Issues with Relevant Metrics and Solutions
Brand-Name Search: Diagnosing Relevance and Safety Issues Brand clients report that when users search for their own brand name, the platform surfaces ...