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Public Storage Data Scientist Interview Questions

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

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1
MetricsStart here. 3 questions · ~24 min
Measuring Post-Launch Feature SuccessHard

Define a feature success framework using adoption, incremental impact, retention, and guardrail metrics.

Lagging IndicatorsKPIsfeature dashboardPPublic Storage
Diagnose Engagement DropHard

Identify the causes of a quarterly engagement decline through metric validation, decomposition, segmentation, and trend analysis.

MetricsDiagnosisuser engagementPPublic Storage
Diagnose Conversion Drop Post LaunchMedium

Diagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.

Funnel AnalysisConversion RateDiagnosisPPublic Storage
2
A/B Testing & Experimentation4 questions · ~32 min
Avoiding Experimentation PitfallsHard

Explain common experimentation pitfalls and design controls that prevent selection bias from invalidating conclusions.

experiment designPeekingSample Ratio MismatchPPublic Storage
Assessing Statistical SignificanceHard

Explain how to select, execute, and interpret statistical significance tests for A/B test results.

experiment designGuardrail MetricsData AnalysisPPublic Storage
Sample Size for Statistical SignificanceHard

Calculate the sample size needed for statistical significance using baseline rate, MDE, alpha, power, and experiment constraints.

experiment designMDEStatistical SignificancePPublic Storage
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3
More topics4 questions · ~32 min
Ensuring SQL Data AccuracyEasy

Explain how to ensure data accuracy in SQL workflows using validation checks, reconciliation, and careful query design.

JoinsData WranglingQualityPPublic Storage
Handling Missing and Dirty SQL DataMedium

Explain how to profile, clean, and standardize missing or dirty data before analysis.

Data WranglingCase WhenQualityPPublic Storage
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Handling 30% Missing Critical DataMedium
Practice
Practice drill

Audit critical-field completeness by application source and report missing-entry percentages.

missing valuesdata accuracyData WranglingAmerican Credit Acceptance
Resolve Conflicting Customer AttributesMedium
Practice
Practice drill

Use joins, CTEs, and row ranking to resolve conflicting customer profile values across ACME House systems.

JoinsData WranglingQualityRamsey SolutionsACME House
Reconcile Conflicting Invoice TotalsMedium
Practice
Practice drill

Reconcile billing and ERP invoice totals using joins, a CTE for latest snapshots, and CASE-based discrepancy classification.

JoinsData WranglingQualityLiterati
The finish line: interview-readyComplete all 11 questions plus 3 hands-on drills to finish this plan.