Top 17
Prep plan
Updated weekly · Last refresh Aug 30

WeWork Data Scientist Interview Questions

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

17questions
~2htotal time
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1
A/B Testing & ExperimentationStart here. 3 questions · ~24 min
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchWeWork
A/B Test Pricing Across MarketsHard

Evaluates experimental design choices for pricing changes with geographic segmentation.

experiment designPricing StrategyA/B TestingWeWork
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2
Product Sense5 questions · ~40 min
Define Metrics for New FeaturesMedium

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

MetricsFeature Prioritizationuser valueWeWork
Choosing Between Two Product RequestsMedium

Assesses prioritization and decision-making using data, impact, and feasibility constraints.

Decision MakingFeature PrioritizationWeWork
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3
Behavioral & Leadership4 questions · ~32 min
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4
More topics5 questions · ~40 min
Explain Statistical SignificanceMedium

Assesses communication skills for conveying statistical ideas to non-technical audiences.

CommunicationStatistical SignificanceWeWork
Handling Missing Occupancy DataMedium

Evaluates data quality handling and impact-aware approaches for occupancy analytics.

data cleaningsqldata integrityWeWork
Diagnosing DAU Drop Root CauseMedium

Assesses structured debugging of metric anomalies using data and hypotheses.

Data Analysisuser retentionDiagnosisWeWork
Joining Booking and Access DataMedium

Evaluates practical SQL and data modeling skills for combining operational datasets.

data integrationdata relationshipsJoinsWeWork
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 17 questions plus 3 hands-on drills to finish this plan.