Amazon DSP Data Scientist Interview Questions
The questions to prepare for a Amazon DSP Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Use CTEs and LAG to identify Amazon DSP customers with purchases in consecutive calendar months.
Amazon DSPExplain the core linear regression assumptions, how to diagnose violations, and which assumptions matter for prediction versus inference.
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How to tell whether a model's predicted probabilities are well calibrated, and what the business impact is.
Amazon DSPAssess whether interference between nearby units could bias an operations experiment and how to test for it.
Amazon DSPWalk through the math of customer lifetime value using retention, churn, and margin assumptions.
Amazon DSPFramework for deciding what to build first when resources are constrained and trade-offs are unavoidable.
Amazon DSPExplain a practical feature selection process using validation, regularization, and model-based importance to improve generalization.
Amazon DSPCompare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.
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