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Updated weekly · Last refresh Oct 17

Coalition Data Scientist Interview Questions

The questions to prepare for a Coalition Data Scientist interview. Questions from real interview reports rank first. Updated daily.

38questions
~5htotal time
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1
A/B Testing & ExperimentationStart here. 5 questions · ~42 min
2
Statistics & Probability4 questions · ~34 min
Testing a Conversion Rate DropMedium

Explain how to test whether an observed 5% conversion rate drop is statistically significant in an experiment or before-after comparison.

Hypothesis TestingData AnalysisStatistical SignificanceCoalition
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3
Machine Learning4 questions · ~34 min
Feature Engineering for Predictive ModelsMedium

Explain how to choose, transform, and validate features for a predictive model using a structured ML workflow.

Cross-ValidationFeature EngineeringSupervised LearningCoalition
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4
Metrics3 questions · ~25 min
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisCoalition
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5
SQL & Data Manipulation4 questions + 2 drills · ~54 min
6
Behavioral & Leadership13 questions · ~109 min
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7
More topics5 questions · ~42 min
Evaluate Overfitting vs UnderfittingMedium

Explain how to tell whether a model is overfitting or underfitting using train versus validation performance and related checks.

Cross-ValidationBias-Variance TradeoffAccuracyCoalition
Predict Customer Churn for InsuranceMedium

Evaluates your end-to-end approach to churn modeling in an insurance context.

User NeedsUse CasesProduct VisionCoalition
Python Data Cleaning and PreparationMedium

Assesses practical data wrangling and preparation skills for downstream modeling.

Data WranglingETLQualityCoalition
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The finish line: interview-readyComplete all 38 questions plus 2 hands-on drills to finish this plan.