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Prep plan
Updated weekly · Last refresh Sep 22

Change Healthcare Data Scientist Interview Questions

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

39questions
~5htotal time
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1
Machine LearningStart here. 16 questions · ~128 min
2
Model Evaluation7 questions · ~56 min
Compare Classification MetricsEasy

Compare precision, recall, F1-score, and ROC-AUC to judge a classifier's tradeoffs.

PrecisionAUC-ROCRecallChange Healthcare
Choose the Right Evaluation MetricMedium

Choose the best metric for a business goal and explain the trade-offs between precision, recall, F1, and threshold choice.

F1 ScorePrecisionAccuracyChange Healthcare
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3
Product Sense8 questions · ~64 min
Explain Claim LifecycleEasy

Tests understanding of revenue cycle workflows and how data moves through claim processing.

User SegmentsValue PropositionUse CasesChange Healthcare
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4
SQL & Data Manipulation3 questions + 3 drills · ~54 min
5
More topics5 questions · ~40 min
NLP for Clinical Notes InsightsHard

Tests your approach to applying NLP deep learning to unstructured clinical text for healthcare outcomes.

Text ClassificationDeep LearningNamed Entity RecognitionChange Healthcare
Apply Survival Analysis in HealthcareHard

Tests statistical modeling choices for time-to-event outcomes and censoring-aware evaluation.

RegressionCausal InferenceTime SeriesChange Healthcare
Clean Up Messy Hospital DataMedium

Tests data cleaning, normalization, and pipeline design for heterogeneous healthcare sources.

Data WranglingETLQualityChange Healthcare
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The finish line: interview-readyComplete all 39 questions plus 3 hands-on drills to finish this plan.