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Prep plan
Updated weekly · Last refresh Aug 30

XPO Data Scientist Interview Questions

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

32questions
~4htotal time
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1
Statistics & ProbabilityStart here. 4 questions · ~34 min
2
Machine Learning4 questions · ~34 min
Random Forest vs Gradient BoostingMedium

Compare Random Forest and Gradient Boosting, then choose the right ensemble for a supervised learning task.

Ensemble MethodsBias-Variance TradeoffSupervised LearningXPO
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3
A/B Testing & Experimentation3 questions · ~25 min
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 MismatchXPO
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4
SQL & Data Manipulation5 questions + 3 drills · ~72 min
5
Behavioral & Leadership11 questions · ~92 min
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6
More topics5 questions · ~42 min
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 IndicatorsDiagnosisXPO
Choosing a North Star MetricMedium

Tests strategic metric selection and alignment with customer and operational outcomes.

North Star Metrickpi hierarchyProduct VisionXPO
Parse and Clean Nested JSONMedium

Tests data parsing and transformation skills for real-world carrier dispatch payloads.

data integrationData WranglingXPO
Metric for Route Duration PredictionEasy

Tests metric selection and justification for operational prediction tasks.

MAEModel MetricsRMSEXPO
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The finish line: interview-readyComplete all 32 questions plus 3 hands-on drills to finish this plan.