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Disney Experiences Data Scientist Interview Questions

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

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1
A/B Testing & ExperimentationStart here. 3 questions · ~25 min
Discovery UI Metrics and GuardrailsMedium

Define primary and guardrail metrics for a discovery UI test, with power, MDE, and a pre-registered analysis plan.

ExperimentationGuardrail MetricsA/B TestingDisney Experiences
Pitfalls in Streaming Experiment AnalysisHard

Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.

Network InterferenceNovelty EffectSample Ratio MismatchDisney Experiences
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2
Product Sense3 questions · ~25 min
Turning Feedback into Onboarding HypothesesMedium

Tests converting qualitative feedback into actionable hypotheses for Disney Experiences onboarding.

User ResearchonboardingDisney Experiences
Prioritizing Booking Features Under ConstraintsMedium

Tests product prioritization and tradeoff thinking for Disney Experiences booking improvements.

Feature Prioritizationuser valueMVPDisney Experiences
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3
Statistics & Probability3 questions · ~25 min
Sample Size and MDE SelectionHard

Tests experiment design choices like sample size and MDE for Disney Experiences booking conversion.

MDEPower AnalysisSample SizeDisney Experiences
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4
Behavioral & Leadership10 questions · ~85 min
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5
More topics6 questions · ~51 min
Handling Imbalanced Classification DataMedium

Explain how to train and evaluate a classifier when the positive class is rare and accuracy is misleading.

Hyperparameter TuningCross-ValidationFeature EngineeringDisney Experiences
Rolling Spend With Window FunctionsMedium
Practice

Calculate each active American Express cardmember's rolling three-month average spend using joins and window functions.

Window FunctionsData AnalysissqlDisney Experiences
Metric Framework for App Adoption and RetentionHard

Tests end-to-end metric framework design for adoption and retention in Disney Experiences app features.

Retentionkpi hierarchyActivationDisney Experiences
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
SQL for Operational PerformanceMedium
Practice
Practice drill

Use joins, conditional aggregation, and date filtering to measure Carvana location performance over the last 30 days.

Date FunctionsGroup ByAggregationsCarvanaGeorgetown UniversityPluralsight
SQL Aggregation Across TablesMedium
Practice
Practice drill

Aggregate active Disney Experiences users across reservations and park-entry events, including users with no matching activity.

JoinsData ManipulationGroup ByDisney Experiences
The finish line: interview-readyComplete all 25 questions plus 2 hands-on drills to finish this plan.