Top 47
Prep plan
Updated weekly · Last refresh Aug 30

Amex Data Scientist Interview Questions

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

47questions
~6htotal time
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1
A/B Testing & ExperimentationStart here. 3 questions · ~24 min
2
Machine Learning12 questions · ~97 min
Feature Engineering for ML ModelsEasy

Explain how feature engineering improves supervised models and how to choose useful transformations.

Cross-ValidationFeature EngineeringModel EvaluationAmex
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3
Statistics & Probability6 questions · ~49 min
Statistical Significance in Hypothesis TestingEasy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceAmex
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4
Product Sense5 questions · ~40 min
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueAmex
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5
SQL & Data Manipulation5 questions + 3 drills · ~70 min
6
Behavioral & Leadership11 questions · ~89 min
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7
More topics5 questions · ~40 min
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 IndicatorsDiagnosisAmex
Explain Cross-Validation in Model SelectionEasy

Explain what cross-validation is and why it matters when choosing between models.

Cross-ValidationAccuracyThreshold TuningAmex
Ensuring ReproducibilityEasy

Tests practices for repeatable, auditable analysis pipelines and documentation.

OrchestrationData ModelingQualityAmex
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