Lockheed Martin Data Scientist Interview Questions

The questions to prepare for a Lockheed Martin Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

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MetricsStart here. 3 questions · ~24 min

Investigate User Engagement DeclineMedium

Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.

RetentionDiagnosisEngagement Metrics

Lockheed Martin

Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosis

Lockheed Martin

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 IndicatorsDiagnosis

Lockheed Martin

Behavioral & Leadership8 questions · ~64 min

Prioritizing Across Competing Client ProjectsEasy

Tests prioritization under pressure across multiple projects, including trade-off judgment, stakeholder communication, and ownership of outcomes.

OwnershipPrioritization

Lockheed Martin

Explaining Modeling Choices ClearlyEasy

Tests whether you can communicate technical modeling tradeoffs clearly, influence decisions under ambiguity, and tailor explanations to mixed audiences.

uncertaintymodelingtechnical knowledge

Lockheed Martin

More Behavioral & Leadership questions with a free account

More topics3 questions · ~24 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 Testing

Lockheed Martin

Test New Feature Engagement ImpactMedium

Design an experiment to determine whether a new feature meaningfully improves user engagement without harming core product health.

ExperimentationFeature PrioritizationUser Needs

Lockheed Martin

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 Mismatch

Lockheed Martin

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