Top 45
Prep plan
Updated weekly · Last refresh Oct 17

TikTok Data Scientist Interview Questions

The questions to prepare for a TikTok Data Scientist interview. Questions from real interview reports rank first. Updated daily.

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~7htotal time
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1
SQL & Data ManipulationStart here. 6 questions · ~53 min
SQL With Window FunctionsMedium
Practice
Recently asked

Rank each active creator's public TikTok videos by January engagement using joins, aggregation, and ROW_NUMBER().

Window FunctionssqlTikTok
Basic Joins and Window FunctionsMedium
Practice
Recently asked

Join TikTok Shop tables, calculate creator GMV, and rank creators within each product category using ROW_NUMBER().

Window FunctionsJoinssqlTikTok
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2
A/B Testing & Experimentation10 questions · ~88 min
Use CUPED to Improve Experiment PowerHard
Recently asked

Assess how CUPED changes variance and sample size in an online experiment, and decide whether the uplift is detectable.

ExperimentationCUPEDPower AnalysisTikTok
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3
Metrics6 questions · ~53 min
Diagnose KPI Drop After ReleaseMedium
Recently asked

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisTikTok
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4
Machine Learning6 questions · ~53 min
Backprop Bias Removal EffectHard
Recently asked

Explain how removing bias terms changes neural-network expressiveness, gradients, optimization, and classification behavior.

Neural NetworksbackpropagationBiasTikTok
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5
Product Sense5 questions · ~44 min
Guardrails for TikTok Shop PromotionsMedium
Recently asked

Evaluates how you define safety constraints and success metrics for commerce features on TikTok.

user experienceTikTok
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6
Statistics & Probability3 questions · ~26 min
Sample Size With Clustered VarianceHard
Recently asked

Evaluates your ability to account for clustering when estimating experiment power.

VarianceSample SizeTikTok
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7
More topics9 questions · ~79 min
ML System Design and CodingHard
Recently asked

Design a production ML system end to end, then implement and analyze a difficult latency-sensitive component.

Codingdesignml inferenceTikTok
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