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Walmart Labs Data Scientist Interview Questions

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

Pricing Page Experiment DesignHard

Design an end-to-end A/B test for a pricing page, including MDE, guardrails, analysis plan, and a ship decision.

Guardrail MetricsSample SizeA/B Testing
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Walmart Labs
Common Pitfalls in Experiment Results
Hard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio Mismatch
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Walmart Labs
Lift Conversion but Hurt Retention
Hard

An experiment increases conversion but lowers retention; assess whether the trade-off is real and whether the change should ship.

ExperimentationCausal InferenceGuardrail Metrics
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Walmart Labs
Investigate User Engagement Decline
Medium

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

RetentionDiagnosisEngagement Metrics
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Walmart Labs
Analyze Campaign Metrics That Matter
Easy

Explain how you evaluated a marketing campaign using funnel, efficiency, and business outcome metrics.

KPIsLeading IndicatorsDiagnosis
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Walmart Labs
First Checks for Metric Drops
Easy

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

Lagging IndicatorsLeading IndicatorsDiagnosis
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Walmart Labs
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Define Launch Success Metrics
Medium

Approach for choosing launch success metrics, including a north star, leading indicators, and clear success criteria.

Product-Market FitUser NeedsKPI
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Walmart Labs