Revolut Data Scientist Interview Questions
The questions to prepare for a Revolut 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.
RevolutUse joins, CTEs, and aggregations to find the weakest step in an onboarding funnel and estimate lost conversions.
AtlassianRevolutFind the top 3 users by completed transaction volume in the last 30 days using joins and aggregation.
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ChimeDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
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Tests experimental design, power analysis, and handling interference in A/B tests.
RevolutIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
RevolutExplain the bias-variance tradeoff mathematically and how L1 and L2 regularization change model complexity and weights.
RevolutDesign a real-time fraud scoring system for card transactions with strict latency, delayed labels, and high availability requirements.
RevolutExplain statistical significance in experiments and how p-values and confidence intervals guide interpretation.
RevolutDefine a success metric for a new feature that captures real user value, not just raw usage.
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