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Updated weekly · Last refresh Aug 30

Amazon Services Data Scientist Interview Questions

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

50questions
~7htotal time
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1
Machine LearningStart here. 7 questions · ~57 min
2
Model Evaluation4 questions · ~32 min
Explain Core Classification MetricsEasy

Explain precision, recall, F1-score, and ROC-AUC for a classification model.

F1 ScorePrecisionAUC-ROCAmazon Services
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3
SQL & Data Manipulation6 questions + 3 drills · ~78 min
4
Metrics6 questions · ~48 min
Prove Product Success With KPIsMedium

Set up a KPI framework that links product usage signals to longer-term business outcomes and shows whether a solution is working.

KPIsSuccess CriteriaEngagement MetricsAmazon Services
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5
Pipelines7 questions · ~57 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityAmazon Services
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6
Statistics & Probability6 questions · ~48 min
Determining A/B Test SignificanceMedium

Explain how to evaluate whether an A/B test result is statistically significant and how to interpret the result.

marketing experimentStatistical SignificanceAnalysisAmazon Services
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7
More topics14 questions · ~113 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 MismatchAmazon Services
Work Backward to Build SolutionMedium

Tests your end-to-end approach from customer requirements to data solution design.

Jobs to Be DoneUser NeedsPain PointsAmazon Services
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The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.