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Updated weekly · Last refresh Sep 10

Mercari Data Scientist Interview Questions

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

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1
A/B Testing & ExperimentationStart here. 3 questions · ~26 min
Experiment for Ranking and RetentionHard

Tests experiment design with guardrails and metric tradeoff management in recommender systems.

ExperimentationRetentionConversion RateMercari
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2
Behavioral & Leadership7 questions · ~61 min
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3
More topics12 questions · ~105 min
Discuss Model Evaluation TechniquesMedium

Explain your approach to model evaluation, including how you choose and interpret metrics for different ML problems.

PrecisionAccuracyRecallMercari
Statistical vs Practical SignificanceMedium

Explain why a statistically significant experiment result may still be too small to matter for product or business decisions.

Confidence IntervalsExperimentationHypothesis TestingMercari
Handle Imbalanced Classification DataMedium

Build a classifier for a highly imbalanced dataset and choose metrics, sampling, and thresholds that fit the minority class.

Cross-ValidationFeature EngineeringSupervised LearningMercari
Scaling Data Pipelines EffectivelyMedium

Approach for building data pipelines that scale in throughput, reliability, and operational visibility.

InfrastructureETLMercari
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueMercari
Diagnose Metric Drop SourceHard

Tests structured troubleshooting of metric breakdowns across funnel stages and data integrity.

Data QualityFunnel AnalysisDiagnosisMercari
Using SQL Window FunctionsMedium
Practice

Calculate three-day rolling passenger entry averages for TfL stations using aggregation and window functions.

Window FunctionsData AnalysissqlMercari
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Identify Funnel Bottlenecks in OnboardingHard
Practice
Practice drill

Use joins, CTEs, and aggregations to find the weakest step in an onboarding funnel and estimate lost conversions.

Funnel AnalysissqlDiagnosisAtlassianRevolut
SQL Window Functions Moving AverageMedium
Practice
Practice drill

Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.

Window FunctionsData AnalysissqlAAreteSShyena Tech YarnsAATB Financial
The finish line: interview-readyComplete all 22 questions plus 2 hands-on drills to finish this plan.