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Updated weekly · Last refresh Oct 17

Highmark Health Data Scientist Interview Questions

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

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1
Machine LearningStart here. 8 questions · ~69 min
2
Behavioral & Leadership7 questions · ~60 min
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3
More topics11 questions · ~95 min
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingHighmark Health
Define Feature Success MetricsMedium

Framework for choosing a feature's primary success metric and guardrails before launch.

MetricsFeature PrioritizationProduct VisionHighmark Health
Interpreting P Values in TestingEasy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesHighmark Health
Diagnose Conversion Drop Post LaunchMedium

Diagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.

Funnel AnalysisConversion RateDiagnosisHighmark Health
Leading an End-to-End Data ProjectHard

Evaluates your ability to deliver an end-to-end data science solution from problem framing to deployment.

Highmark Health
Python Arrays vs NumPyMedium

Tests your understanding of NumPy performance, memory behavior, and practical modeling implications.

Data StructurespythonHighmark Health
Validation Under Data DriftHard

Tests model monitoring and evaluation strategies for distribution shift in production healthcare settings.

Evaluation TechniquesModel MetricsTime SeriesHighmark Health
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
The finish line: interview-readyComplete all 26 questions plus 2 hands-on drills to finish this plan.