Radian Group Data Scientist Interview Questions
The questions to prepare for a Radian Group Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Calculate the monthly spending trends for customers using window functions and joins.
Radian GroupAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin MooreRank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
WaymoExplain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.
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Pick the right metrics to evaluate a machine learning model and explain why they fit the problem.
Radian GroupExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
Radian GroupDefine one primary feature metric and a set of guardrails that capture user value without missing broader product risk.
Radian GroupDesign an experiment to determine whether a feature change truly affects the target metric, with power, MDE, and guardrails.
Radian GroupFramework for diagnosing churn and prioritizing product changes to improve retention in a subscription service.
Radian GroupEvaluates your system design skills for production ML lifecycle and monitoring.
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