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Delta Air Lines Data Scientist Interview Questions

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

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1
Statistics & ProbabilityStart here. 3 questions · ~26 min
Correlation Versus Causation ExplanationMedium

Explain why correlation measures association, while causation requires evidence that changing one variable changes the other.

CorrelationCausal InferenceCommunicationDelta Air Lines
Experiment Design for HypothesesHard

Design a randomized experiment that tests a specific hypothesis, controls bias, and provides adequate statistical power.

ExperimentationHypothesis TestingPower AnalysisDelta Air Lines
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2
SQL & Data Manipulation4 questions + 3 drills · ~65 min
Flatten Nested Data StructureHard

Tests your ability to design correct data transformation logic for complex nested structures.

CodingData StructuresDelta Air Lines
SQL Window Functions for TrendsMedium
Practice
Practice drill

Rank Delta Air Lines routes by monthly revenue using joins, aggregation, and a window function.

Window FunctionsLag/LeadJoinsDelta Air Lines
Top Routes by DelayMedium
Practice
Practice drill

Use joins, date filtering, aggregation, and ROW_NUMBER to find Delta's three most delayed routes last quarter.

Window FunctionsDate FunctionsAggregationsDelta Air Lines
Scenario-Based Business CaseHard
Practice
Practice drill

Aggregate project outcomes and present a defensible SQL-based business case analysis.

project experienceJoinsbusiness problemTikTok
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3
Behavioral & Leadership5 questions · ~43 min
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4
More topics6 questions · ~52 min
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingDelta Air Lines
First Checks for Metric DropsEasy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisDelta Air Lines
Bias-Variance and Overfitting AssessmentMedium

Tests your ability to diagnose generalization issues and choose appropriate validation and regularization strategies.

BiasModel EvaluationoverfittingDelta Air Lines
Design Engagement MetricsMedium

Tests your product thinking and ability to define metrics that reflect user engagement outcomes.

product metricsdesignuser engagementDelta Air Lines
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 MismatchDelta Air Lines
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