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Prep plan
Updated weekly · Last refresh Aug 30

Yelp Data Scientist Interview Questions

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

50questions
~8htotal time
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1
SQL & Data ManipulationStart here. 8 questions · ~73 min
2
Machine Learning9 questions · ~82 min
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffYelp
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3
Statistics & Probability8 questions · ~73 min
A/B Testing for Product FeaturesMedium

Explain how to design and evaluate an A/B test for a product feature, including metrics, MDE, sample size, and guardrails.

Hypothesis TestingStatistical SignificanceA/B TestingYelp
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4
A/B Testing & Experimentation7 questions · ~64 min
Marketplace Experiment Pitfalls in UberHard

Assess pitfalls in a two-sided marketplace experiment, including interference, SRM, and guardrails before deciding whether results are trustworthy.

Network InterferenceNovelty EffectSample Ratio MismatchYelp
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5
Metrics5 questions · ~46 min
Extracting Insights From DataMedium

Tests your end-to-end approach to exploratory analysis and insight generation.

KPIsDiagnosisEngagement MetricsYelp
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6
Product Sense8 questions · ~73 min
Role of a Data ScientistEasy

Tests your understanding of how data science supports Yelp's product and decision-making.

User NeedsValue PropositionProduct VisionYelp
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7
More topics5 questions · ~46 min
Choosing Classification Evaluation MetricsEasy

Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.

PrecisionAccuracyRecallYelp
Big Data Technologies ExperienceEasy

Tests your familiarity with scalable data tools and how you apply them.

InfrastructureToolsData ModelingYelp
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The finish line: interview-readyComplete all 50 questions to finish this plan.