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Updated weekly · Last refresh Oct 17

Optum Technology Data Scientist Interview Questions

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

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Behavioral & LeadershipStart here. 6 questions · ~54 min
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More topics11 questions · ~98 min
L1 vs L2 RegularizationMedium

Explain how L1 and L2 regularization differ geometrically and probabilistically, grounded in a practical supervised learning example.

Feature EngineeringRegularizationSupervised LearningOptum Technology
Evaluating Observed Lift SignificanceMedium

Explain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.

Confidence IntervalsStatistical SignificanceP-ValuesOptum Technology
Primary vs Guardrail MetricsEasy

Explain how a primary metric differs from a guardrail metric and how both are used in A/B test decisions.

ExperimentationGuardrail MetricsA/B TestingOptum Technology
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 IndicatorsDiagnosisOptum Technology
Readmission Model Evaluation MetricsMedium

Tests your understanding of evaluation metrics for healthcare prediction tasks and tradeoffs.

ClassificationModel MetricsOptum Technology
Patient Engagement Product MetricMedium

Tests your product thinking for defining measurable, user-centered engagement metrics in healthcare.

Metricsuser valueProduct VisionOptum Technology
Month-over-Month Utilization ComparisonMedium
Practice

Compare consecutive monthly patient utilization using aggregation and LAG, including utilization changes and percentage changes.

Window FunctionsLag/LeadDate FunctionsOptum Technology
Scalable ML Pipeline DesignHard

Tests your ability to architect scalable data and ML pipelines for large-scale healthcare datasets.

data integrationETLsparkOptum Technology
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