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Updated weekly · Last refresh Oct 17

Amazon Development Center U.S. Data Scientist Interview Questions

The questions to prepare for a Amazon Development Center U.S. Data Scientist interview. Questions from real interview reports rank first. Updated daily.

33questions
~5htotal time
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1
SQL & Data ManipulationStart here. 3 questions + 1 drill · ~37 min
2
A/B Testing & Experimentation3 questions · ~27 min
Design Test for New FeatureMedium
Recently asked

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingAmazon Development Center U.S.
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3
Machine Learning8 questions · ~72 min
Bias-Variance in Model SelectionMedium
Recently asked

Explain how the bias-variance tradeoff guides model selection and generalization.

Cross-ValidationBias-Variance TradeoffRegularizationAmazon Development Center U.S.
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4
Statistics & Probability4 questions · ~36 min
Choosing a Significance TestEasy
Recently asked

Explain how to choose an appropriate significance test based on metric type, study design, and the null hypothesis.

Confidence IntervalsHypothesis TestingStatistical SignificanceAmazon Development Center U.S.
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5
Product Sense3 questions · ~27 min
Build an Engagement FeatureMedium
Recently asked

Approach for identifying, prioritizing, and launching a new feature that increases user engagement.

Feature PrioritizationUser NeedsUse CasesAmazon Development Center U.S.
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6
Behavioral & Leadership9 questions · ~81 min
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7
More topics3 questions · ~27 min
Common Model Evaluation MetricsEasy
Recently asked

Explain common machine learning evaluation metrics and when each is useful.

PrecisionAccuracyRecallAmazon Development Center U.S.
Diagnose Conversion Drop Post LaunchMedium
Recently asked

Diagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.

Funnel AnalysisConversion RateDiagnosisAmazon Development Center U.S.
AWS Architecture for ML AutomationHard
Recently asked

Evaluates your ability to design scalable AWS-based ML systems with automation.

AutomationawsAmazon Development Center U.S.
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