Coinbase Data Scientist Interview Questions
The questions to prepare for a Coinbase Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
CoinbaseRank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
WaymoUse CTEs, joins, and monthly aggregation to measure cohort activity trends and classify engagement over time.
Design a checkout A/B test and compute the sample size needed to detect a 2% relative lift in purchase conversion within 14 days.
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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.
CoinbaseA framework for deciding which features should ship first when building a new product.
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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