Top 18
Prep plan
Updated weekly · Last refresh Oct 17

WeWork Data Scientist Interview Questions

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

18questions
~3htotal time
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1
Product SenseStart here. 5 questions · ~43 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
Balancing Retention and RevenueMedium

Assesses tradeoff thinking in metric design across competing business objectives.

product metricslong-term strategyWeWork
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2
A/B Testing & Experimentation3 questions · ~26 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
Avoiding False Positive ExperimentsMedium

Tests rigor in A/B testing to reduce false positives and spurious conclusions.

false positivesdata integrityWeWork
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3
SQL & Data Manipulation3 questions + 2 drills · ~46 min
Rolling Desk Utilization With SQLMedium
Practice

Calculate each location's monthly desk utilization and rolling three-month average using PostgreSQL window functions.

Date FunctionsData Analysisquery optimizationWeWork
Handling Missing Occupancy DataMedium

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

data cleaningsqldata integrityWeWork
SQL for Workspace UtilizationHard
Practice
Practice drill

Join WeWork bookings, members, and locations to find underperforming sites by month.

Date FunctionsJoinsGroup ByWeWork
Optimize a Slow SQL QueryHard
Practice
Practice drill

Rewrite a slow PostgreSQL loan payment query to reduce scanned rows while preserving the required aggregated results.

database optimizationJoinsData WranglingAmeripriseEEltro Cyberchrome PrivateEnergyHub
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4
Behavioral & Leadership4 questions · ~35 min
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5
More topics3 questions · ~26 min
Diagnosing DAU Drop Root CauseMedium

Assesses structured debugging of metric anomalies using data and hypotheses.

Data Analysisuser retentionDiagnosisWeWork
Ensuring Statistical SignificanceMedium

Assesses your grasp of hypothesis testing, error rates, and experiment design assumptions.

Data AnalysisStatistical SignificanceWeWork
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The finish line: interview-readyComplete all 18 questions plus 2 hands-on drills to finish this plan.