TikTok Data Scientist Interview Questions
Applying to TikTok as a Data Scientist means preparing for a product-first, metrics-driven interview loop where speed, stakeholder influence, and practical experimentation matter as much as algorithms. TikTok Data Scientist interview questions typically emphasize SQL and Python data manipulation at scale, experiment design and causal inference, product analytics and metric definition, and pragmatic modeling choices. Interviewers look for technical correctness, clear assumptions, the ability to link analysis to business metrics, and concise communication that persuades product and engineering partners. You should expect a staged process: an initial recruiter screen and technical assessment followed by a virtual loop of 3–5 interviews mixing live SQL/Python exercises, product-analytics or modeling case problems, A/B testing scenarios, and behavioral discussions. For interview preparation, practice writing readable SQL with window functions and CTEs, build short Python data pipelines, rehearse experiment-design explanations, and prepare STAR stories showing ownership and impact. Simulated loops with timed coding and product cases
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Maximize products bought under budget
Given N products and M customers, for each customer find the list of distinct products they can buy without exceeding their budget such that the numbe...
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...
Analyze shopping funnel with joins and windows
Write SQL (PostgreSQL) to analyze a 4-step shopping funnel: view_product → add_to_cart → checkout_start → purchase. Use the schema and sample data bel...
Analyze DFS, BFS, and A* trade-offs
Given a weighted graph with nodes {S,A,B,C,D,G} and edges: S–A(2), S–B(5), A–C(2), B–C(1), C–D(2), D–G(1), B–G(20). Heuristic for A*: h(A)=4, h(B)=3, ...
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...
Write SQL for TikTok Live creator metrics
You are analyzing TikTok Live sessions and their engagement. Tables live_room Each row is a Live session (“room”) launched by a creator. | column | ty...
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...
Write SQL for geo posting-frequency drops
Using the schema below, write a single ANSI SQL query (window functions allowed) that identifies countries with the largest share of creators whose po...
Control confounding in observational ad lift
Estimating the ATE of Ad Exposure on Conversions (Observational Setup) You cannot randomize ad exposure. Users differ in age, education, income, and o...
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...
Compute CTR drop with exclusions
Assume today = 2025-09-01. Using ad delivery logs, find advertisers whose CTR in the last 7 days (2025-08-25 to 2025-08-31) dropped by at least 20% re...
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 ...
Highlight Key Projects and Their Business Impact
Behavioral: Self‑Introduction and Project Impact (Data Scientist Phone Screen) Context You are interviewing for a Data Scientist role in a technical p...
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%...
Show ownership in ambiguous creator-growth work
Describe a time you owned an ambiguous growth problem for creators end‑to‑end. Pick one project and cover: 1) the exact business goal and why it matte...
Calculate valid daily usage with gap constraints
Write Standard SQL to compute, for a given date (use 2025-09-01), each user's total valid usage minutes. Schema and rules: Schema (timestamps are UTC)...
Handle disengaged interviewer or biased manager
Behavioral Prompt: Handling a Pre-Decided Stakeholder in a Technical Screen Context: Role = Data Scientist; Round = Technical Screen; Category = Behav...
Estimate heterogeneous treatment effects with causal ML
Context You are given large-scale, logged observational data from an always-on promotion. Each record contains features X (user/context), a binary tre...
Reflect on a challenging project you led
Behavioral Prompt: Leading an End-to-End Project That Changed a Product Decision Context: You are a Data Scientist interviewing for a consumer tech pr...
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...