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Updated weekly · Last refresh Sep 25

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 daily.

25questions
~3htotal time
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1
Machine LearningStart here. 3 questions · ~24 min
Handle Highly Imbalanced ClassificationMedium

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

Cross-ValidationFeature EngineeringSupervised LearningOmada Health
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2
Statistics & Probability4 questions · ~33 min
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-ValuesOmada Health
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3
A/B Testing & Experimentation3 questions · ~24 min
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 TestingOmada Health
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4
Behavioral & Leadership8 questions · ~65 min
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5
More topics7 questions · ~57 min
First Checks for Metric DropsEasy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisOmada Health
Forecast Coach Capacity and DemandHard

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

capacity planningOmada Health
SQL Window Functions for TrendsMedium

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

Window FunctionsTime SeriesOmada Health
Cost-Sensitive Model EvaluationMedium

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

PrecisionThreshold TuningRecallOmada Health
Root Cause Analysis After App UpdateHard

Tests structured debugging, analytics, and decision-making under time pressure.

Stakeholder Managementroot cause analysisOmada Health
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Compare Signup Cohorts by RetentionHard
Practice
Practice drill

Use CTEs, joins, and date logic to compare 30-day activity rates across monthly signup cohorts.

Window FunctionsDate FunctionsCTEsGappifyDocusignJio
Rank Members by Logging FrequencyMedium
Practice
Practice drill

Rank Omada Health members by the number of weight logs recorded during their first enrollment month.

Window FunctionsDate Functionsnull handlingOmada Health
Rolling 30-Day Retention QueryHard
Practice
Practice drill

Calculate acquisition-cohort retention within 30 days by channel using CTEs, joins, and conditional date ranges.

sql queryEvenUpPlayStationAffirm
The finish line: interview-readyComplete all 25 questions plus 3 hands-on drills to finish this plan.