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Updated weekly · Last refresh Aug 30

McDonald's Data Scientist Interview Questions

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

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1
A/B Testing & ExperimentationStart here. 4 questions · ~35 min
2
Product Sense3 questions · ~26 min
Increasing Customer Loyalty at McDonald'sMedium

Tests your product analytics thinking and ability to connect insights to loyalty outcomes.

User NeedsValue PropositionMcDonald's
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3
Behavioral & Leadership8 questions · ~70 min
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4
More topics12 questions · ~105 min
Build Monthly Retention Cohort TableHard
Practice

Build a monthly customer retention cohort table using CTEs, date math, and conditional aggregation.

Window FunctionsDate FunctionsAggregationsMcDonald's
Evaluating Observed Lift SignificanceMedium

Explain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.

Confidence IntervalsStatistical SignificanceP-ValuesMcDonald's
Evaluate Overfitting vs UnderfittingMedium

Explain how to tell whether a model is overfitting or underfitting using train versus validation performance and related checks.

Cross-ValidationBias-Variance TradeoffAccuracyMcDonald's
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisMcDonald's
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffMcDonald's
Optimizing Supply Chain with DataMedium

Tests your skills in analytics for operational improvement and decision support.

ETLBatch ProcessingData ModelingMcDonald's
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
The finish line: interview-readyComplete all 27 questions plus 2 hands-on drills to finish this plan.