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Amazon Kuiper Commercial Services Data Scientist Interview Questions

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

45questions
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1
SQL & Data ManipulationStart here. 5 questions + 2 drills · ~62 min
Top 5 Products SQL QueryMedium
Practice

Use joins, a CTE, and aggregation to find Jerry's five highest-selling products in the rolling last year.

JoinsRankingAggregationsAmazon Kuiper Commercial Services
SQL Running Total by DateMedium
Practice
Practice drill

Aggregate posted OneTrust privacy request charges by date and calculate cumulative revenue with a CTE and window function.

Window FunctionsDate FunctionsRunning TotalsC5iIIBM Business ServicesFreddie Mac
SQL for Weekly Regional PerformanceMedium
Practice
Practice drill

Calculate weekly volume, handling time, and week-over-week change by Kuiper Commercial Services region.

Window FunctionsJoinsAggregationsAmazon Kuiper Commercial Services
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2
System Design4 questions · ~33 min
Design a Cold Start RankerMedium

Design a recommendation and ranking system that handles cold start for both new users and new items without hurting feed quality.

Cold StartTwo-Tower ModelsRecommendation SystemsAmazon Kuiper Commercial Services
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3
Model Evaluation3 questions · ~25 min
Evaluate Model EffectivenessEasy

Assess whether a model is effective using core classification metrics and the confusion matrix.

PrecisionAccuracyRecallAmazon Kuiper Commercial Services
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4
Product Sense3 questions · ~25 min
Prioritize Features for Mature ProductMedium

Framework for prioritizing new features in a mature product when engineering capacity is limited.

Feature PrioritizationMVPResource AllocationAmazon Kuiper Commercial Services
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5
A/B Testing & Experimentation3 questions · ~25 min
Pitfalls in Streaming Experiment AnalysisHard

Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.

Network InterferenceNovelty EffectSample Ratio MismatchAmazon Kuiper Commercial Services
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6
Machine Learning10 questions · ~84 min
Handling Missing Values in MLEasy

Explain practical strategies for handling missing values in a supervised learning workflow, from diagnosis to modeling and validation.

Cross-ValidationFeature EngineeringRegularizationAmazon Kuiper Commercial Services
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7
More topics17 questions · ~142 min
Batch vs Streaming Data ProcessingEasy

Compare batch and streaming data processing, including when each fits best in a pipeline.

Stream ProcessingETLBatch ProcessingAmazon Kuiper Commercial Services
Diagnose Conversion Drop Post LaunchMedium

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 Kuiper Commercial Services
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The finish line: interview-readyComplete all 45 questions plus 2 hands-on drills to finish this plan.