Amazon Services Data Scientist Interview Questions
The questions to prepare for a Amazon Services Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain precision, recall, F1-score, and ROC-AUC for a classification model.
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Explain SQL window functions and when to use ROW_NUMBER() versus DENSE_RANK() for ranked ticket analysis.
Amazon ServicesUse CTEs, joins, and date filtering to calculate 30-day retention by signup cohort from login and feature usage data.
Curefit
ReachMobi
IndeedCompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Meta
Spotify
Meta ITUse joins, aggregation, and CASE expressions to find Amazon Services shifts missing hourly productivity thresholds over 30 days.
Amazon ServicesSet up a KPI framework that links product usage signals to longer-term business outcomes and shows whether a solution is working.
Amazon ServicesApproach for maintaining data quality and integrity across ETL pipelines.
Amazon ServicesExplain how to evaluate whether an A/B test result is statistically significant and how to interpret the result.
Amazon ServicesIdentify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Amazon ServicesTests your end-to-end approach from customer requirements to data solution design.
Amazon Services