Meta Logistics Data Scientist Interview Questions

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

Design Feature Success Metrics

Medium

Define one primary feature metric and a set of guardrails that capture user value without missing broader product risk.

North Star MetricKPIsGuardrail Metrics

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Average Delivery Time for First-Time Buyers

Medium

Tests SQL join logic and correct cohorting for first-time buyers to compute delivery time.

Date FunctionsJoinsAggregations

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Month-Over-Month Active User Retention

Hard

Tests advanced SQL skills for retention definitions and multi-table join correctness.

Window FunctionsRetentionJoins

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Sample Size With Volatile Baseline

Hard

Tests statistical power planning under unstable baselines and practical experiment sizing.

VariancePower AnalysisSample Size

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A/B Test Routing Algorithm

Hard

Tests experimental design, instrumentation, and causal reasoning for delivery routing changes.

experiment designHypothesis TestingGuardrail Metrics

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Improve Messenger UX and Engagement

Medium

Tests product thinking and how you translate user behavior into actionable improvements for Meta Logistics.

user experienceProduct Vision

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