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Prep plan
Updated weekly · Last refresh Oct 17

Optum Data Scientist Interview Questions

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

50questions
~8htotal time
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1
SQL & Data ManipulationStart here. 7 questions · ~67 min
2
Machine Learning7 questions · ~67 min
End-to-End ML Training ProcessHard

Explain and implement a complete supervised ML workflow from feature engineering and tuning through validation and production monitoring.

model selectionFeature Engineeringdata driftOptum
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3
Model Evaluation3 questions · ~29 min
Accuracy Metrics Deep DiveHard

Explain which model accuracy metrics to use for different prediction tasks and business error trade-offs.

performance evaluationClassificationmodel performanceOptum
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4
NLP6 questions · ~58 min
LLM FundamentalsHard

Explain LLM fundamentals and connect tokenization, pretraining, prompting, and fine-tuning to practical NLP projects.

promptingLanguage Modelsllm basicsOptum
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5
Statistics & Probability7 questions · ~67 min
Outlier Detection in Skewed DataHard

Design a robust Python function to detect and treat outliers in highly skewed clinical measurements without distorting valid observations.

DistributionsSamplingBiasOptum
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6
A/B Testing & Experimentation7 questions · ~67 min
Pitfalls in Concurrent ExperimentsHard

Identify and mitigate interference, metric contamination, SRM, peeking, and multiple-testing risks across concurrent experiments.

experiment designGuardrail Metricsuser baseOptum
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7
More topics13 questions · ~125 min
Starting a New Data Science ProjectMedium

Walk through scoping, building, deploying, and evaluating a new data science project under realistic uncertainty.

Feature Driftarchitecture patternsdata collectionOptum
Design a New Engagement MetricHard

Define a meaningful engagement metric for a retail analytics mobile application and explain how to validate it.

product metricsMetricsuser engagementOptum
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