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Amazon Lab126 Data Scientist Interview Questions

The questions to prepare for a Amazon Lab126 Data Scientist interview. Questions from real interview reports rank first. Updated daily.

12questions
~2htotal time
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1
A/B Testing & ExperimentationStart here. 3 questions · ~28 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 Lab126
Interpreting Marginal P-ValuesMedium

Evaluates statistical reasoning and decision-making under uncertainty in experiments.

Amazon Lab126
A/B Test Sample SizeMedium

Assesses experimental planning using power, variance, and effect size assumptions.

experiment designStatistical SignificanceSample SizeAmazon Lab126
2
Behavioral & Leadership4 questions · ~37 min
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3
More topics5 questions · ~47 min
Window Functions for Top UsersMedium
Practice

Use aggregation and ROW_NUMBER to find the top three Lexis+ users by total session duration within each region.

Window FunctionsData AnalysissqlAmazon Lab126
Investigate Metric DropMedium

Diagnose a below-expectations product metric drop using decomposition, guardrails, and experiment checks.

metric selectionDiagnosiskpi hierarchyAmazon Lab126
Define Metrics for New FeaturesMedium

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

MetricsFeature Prioritizationuser valueAmazon Lab126
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical SignificanceAmazon Lab126
Hardware and Feature Trade-offsMedium

Assesses ability to align data-driven decisions with device constraints and UX impact.

Trade-offsAmazon Lab126

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
SQL Window Functions Moving AverageMedium
Practice
Practice drill

Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.

Window FunctionsData AnalysissqlAAreteEEvalueserveSShyena Tech Yarns
Running Average With Window FunctionsEasy
Practice
Practice drill

Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.

Window FunctionsData AnalysissqlHingeCCatalyst Operations & AnalyticsAAlight Solutions
The finish line: interview-readyComplete all 12 questions plus 2 hands-on drills to finish this plan.