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Prep plan
Updated weekly · Last refresh Oct 17

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 daily.

33questions
~5htotal time
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1
SQL & Data ManipulationStart here. 4 questions + 1 drill · ~46 min
2
Statistics & Probability4 questions · ~36 min
Mean and Variance of DataEasy

Compute the mean and variance of a numeric dataset from first principles.

DistributionsVarianceExpected ValueRadian Group
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3
Behavioral & Leadership12 questions · ~108 min
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4
More topics13 questions · ~117 min
Prove Feature X Moves Metric YMedium

Design an experiment to determine whether a feature change truly affects the target metric, with power, MDE, and guardrails.

ExperimentationCausal InferenceA/B TestingRadian Group
Design Feature Success MetricsMedium

Define one primary feature metric and a set of guardrails that capture user value without missing broader product risk.

North Star MetricKPIsGuardrail MetricsRadian Group
Validate a Machine Learning ModelEasy

How to validate a machine learning model and interpret whether its metrics are trustworthy.

PrecisionAccuracyRecallRadian Group
Improve Subscription Customer RetentionMedium

Framework for diagnosing churn and prioritizing product changes to improve retention in a subscription service.

User NeedsUse CasesProduct VisionRadian Group
Prevent Overfitting in ML ModelsEasy

Explain how to reduce overfitting using regularization, validation, and model selection.

Cross-ValidationBias-Variance TradeoffRegularizationRadian Group
End-to-End Churn ML SystemHard

Evaluates your system design skills for production ML lifecycle and monitoring.

ML RankingModel ServingRecommendation SystemsRadian Group
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The finish line: interview-readyComplete all 33 questions plus 1 hands-on drill to finish this plan.