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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Explain your most impactful project trade-offs
Behavioral Prompt: 2–3 Minute Project Walkthrough (Data Scientist, Technical Screen) Deliver a concise, 2–3 minute walkthrough of the single most impa...
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, ...
Differentiate LDA and QDA; compute boundary
Binary Gaussian Classification: LDA vs QDA You are modeling a 2D binary Gaussian classifier with features (x, y): - Class 0: mean μ0 = (0, 0), covaria...
Implement K-means and run two iterations
Given points P={(0,0),(0,2),(2,0),(2,2),(8,8),(8,10),(10,8),(10,10)} and k=2, (1) initialize centroids with k-means++ using seed=42 and Euclidean dist...
Choose linear regression or decision tree appropriately
Choose Between Linear Regression and a Decision Tree Under a Hinge and Interaction DGP Context You have 100,000 i.i.d. observations with features x1 (...
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...
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...
Find high-value crypto users and top-CTR product
You are given three tables (timezone: UTC). Assume create_date, transaction_time, and event_time are timestamps. Tables users - user_id BIGINT PRIMARY...
Maximize watched duration under consecutive-sum limit
You have a list of videos in a feed. Video i has duration d[i] (positive integer). A user has an “attention span” limit A. You want to select a subset...
Personalize Ad Delivery Using Machine Learning Techniques
Personalize Ad Delivery Using Machine Learning Techniques Personalized Delivery of Three Ad Categories Scenario You operate a consumer feed with a sin...
Calculate User Registration Date and 7-Day Retention Rate
user_posts +---------+--------------+-----------+ | user_id | posting_date | num_posts | +---------+--------------+-----------+ | 1 | 2023-01-01...
Evaluate Responses to Teammate's Missed Deadlines
Behavioral Judgment: Teammate Consistently Misses Deadlines You are completing a behavioral questionnaire that asks you to choose the most effective a...
Count buggy vs non-buggy by employer
Count buggy vs non-buggy submissions for each employer_id, including employers with zero submissions. Return employer_id, buggy_count, non_buggy_count...
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...
Select max-discount product per category
You have a catalog of products. For each category, return exactly one product: the one with the largest absolute discount; if multiple products in the...
Communicate technical impact under skeptical stakeholders
Reframing a Multi‑Team Project for a Technical‑Only Hiring Manager Context You are a data scientist in a technical screen. You need to present a multi...
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...
Write SQL for last-7-day metrics without windows
Assume today is 2025-09-01. Use ANSI SQL only and do not use window functions. You may use subqueries, GROUP BY, HAVING, and JOINs. Schema and small s...
Derive L1 vs L2 effects with correlation
Multicollinearity: Ridge vs LASSO vs Elastic Net Setup - Two standardized predictors x1 and x2 with corr(x1, x2) = 0.99. - X'X = [[100, 99], [99, 100]...
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 ...