Amazon Data Scientist Interview Questions
The questions to prepare for a Amazon Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Identify each user's first valid movie stream per day using a join and ROW_NUMBER().
AmazonExplain an ML project end to end, including model selection, evaluation, deployment, and lessons learned.
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Explain point estimators, bias, variance, and the model-selection tradeoff in a low-data setting.
AmazonImplement and evaluate RoPE in a transformer, including tensor rotation, position handling, caching, and context-length tradeoffs.
AmazonExplain regression assumptions, compare Pearson with Spearman correlation, and describe when random forests are appropriate.
AmazonDesign an experiment plan to measure whether a new UI feature improves user outcomes without hurting key guardrail metrics.
AmazonExplain how data moves from source systems through ingestion, transformation, storage, serving, monitoring, and recovery.
AmazonChoose a KPI hierarchy for a newly released product, including a north-star metric, funnel metrics, targets, and launch guardrails.
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