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Updated weekly · Last refresh Oct 17

Amazon Advertising Data Scientist Interview Questions

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

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1
SQL & Data ManipulationStart here. 4 questions · ~36 min
2
Machine Learning11 questions · ~98 min
Prevent Churn Model Data LeakageHard
Recently asked

Design leakage-safe feature engineering and validation for a predictive churn model.

predictive modelingdata preprocessingFeature EngineeringAmazon Advertising
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3
Statistics & Probability4 questions · ~36 min
Linear Regression AssumptionsMedium
Recently asked

Explain the core linear regression assumptions, how to diagnose violations, and which assumptions matter for prediction versus inference.

RegressionCorrelationStatistical SignificanceAmazon Advertising
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4
A/B Testing & Experimentation7 questions · ~63 min
Choose Randomization for Marketplace TestHard
Recently asked

Design a marketplace experiment by choosing the right randomization unit and protecting against interference and bad inference.

Network InterferenceExperimentationCausal InferenceAmazon Advertising
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5
Product Sense5 questions · ~45 min
Define Metrics for New FeaturesMedium
Recently asked

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

MetricsFeature Prioritizationuser valueAmazon Advertising
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6
Metrics3 questions · ~27 min
Analyze a Successful CampaignEasy
Recently asked

Describe how you would evaluate a successful marketing campaign using funnel KPIs, conversion, and ROI.

KPIsDiagnosisEngagement MetricsAmazon Advertising
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7
More topics13 questions · ~116 min
Choose Batch vs Streaming PipelineEasy
Recently asked

Design a Meta-scale ads data platform and decide when batch, streaming, or hybrid pipelines are appropriate for latency, cost, and accuracy needs.

Amazon Advertising
Choosing Classification Evaluation MetricsEasy
Recently asked

Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.

PrecisionAccuracyRecallAmazon Advertising
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