Coinbase Data Scientist Interview Questions
The questions to prepare for a Coinbase Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
CoinbaseCalculate monthly chargeback rates by payment method using transaction and chargeback data.
CoinbaseIdentify Coinbase users linking more than three distinct cards within a rolling 24-hour period.
CoinbaseAssess whether interference between nearby units could bias an operations experiment and how to test for it.
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Define one primary feature metric and a set of guardrails that capture user value without missing broader product risk.
CoinbaseExplain practical strategies for handling missing data and how to validate that the chosen approach improves model performance.
CoinbaseUse customer feedback to identify the biggest pain points in the user journey.
CoinbaseEvaluates data quality assessment, bias detection, and reasoning under conflicting evidence.
CoinbaseDesign a personalized recommendation system that turns user preferences into ranked suggestions with retrieval, ranking, and feedback loops.
CoinbaseEvaluates your understanding of classification metrics and how to interpret them.
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