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Updated weekly · Last refresh Oct 12

Amazon Web Services Data Scientist Interview Questions

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

50questions
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1
MetricsStart here. 4 questions · ~35 min
Detect Stolen Badge EntryHard

Detect unauthorized office entry using badge logs, access patterns, and anomaly signals.

operational metricsdiagnostic processAmazon Web Services
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2
Product Sense8 questions · ~69 min
Measure Prime Launch SuccessMedium

Define how to measure whether a newly launched Prime was successful.

business valueAmazon Web Services
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3
SQL & Data Manipulation5 questions + 1 drill · ~53 min
Top Error Codes by RegionMedium
Practice
Recently asked

Use aggregation and DENSE_RANK to identify the three most frequent AWS server error codes per region.

sqlAmazon Web Services
SQL for Operational PerformanceMedium
Practice
Recently asked
Practice drill

Join AWS business tables to aggregate operational metrics by team and compare performance.

Joinsbusiness problemsqlAmazon Web Services
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4
A/B Testing & Experimentation7 questions · ~60 min
Testing Multiplayer Features With InterferenceHard
Recently asked

Design an experiment for a multiplayer feature where user-level randomization may fail because treatment spills over through player interactions.

Network InterferenceExperimentationGuardrail MetricsAmazon Web Services
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5
Machine Learning9 questions · ~78 min
Explain Random ForestsEasy
Recently asked

Explain how random forests work, why they reduce variance, and when they are a good choice.

Cross-ValidationEnsemble MethodsDecision TreesAmazon Web Services
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6
Statistics & Probability9 questions · ~78 min
Statistical Project WalkthroughMedium
Recently asked

Walk through a past project using hypothesis testing and regression to turn data into a decision.

RegressionHypothesis TestingStatistical SignificanceAmazon Web Services
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7
More topics8 questions · ~69 min
Fake Review Detection FeaturesMedium

Design an ML system to identify fake reviews and choose features that catch abuse while limiting false positives.

Feature Storefeedback loopanomaly detectionAmazon Web Services
Data Quality in ETL PipelinesEasy
Recently asked

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityAmazon Web Services
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The finish line: interview-readyComplete all 50 questions plus 1 hands-on drill to finish this plan.