Omada Health Data Scientist Interview Questions

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

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Predict Customer Churn

Medium

Build a churn model that flags at-risk customers early using behavioral, billing, and support signals.

Feature EngineeringModel EvaluationSupervised Learning

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Handle Highly Imbalanced Classification

Medium

Build a classifier for a rare-event problem and choose metrics and training tactics that work when positives are scarce.

Cross-ValidationFeature EngineeringSupervised Learning

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Primary vs Guardrail Metrics

Easy

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

ExperimentationGuardrail MetricsA/B Testing

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Forecast Coach Capacity and Demand

Hard

Tests forecasting and operational analytics to balance staffing with patient needs.

capacity planning

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Cost-Sensitive Model Evaluation

Medium

Tests ability to choose metrics and thresholds aligned to real-world clinical or operational costs.

PrecisionThreshold TuningRecall

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SQL Window Functions for Trends

Medium

Tests practical SQL skills for time series and cohort-style engagement analysis.

Window FunctionsTime Series

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