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Updated weekly · Last refresh Aug 30

Datavant Data Scientist Interview Questions

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

30questions
~4htotal time
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1
Machine LearningStart here. 5 questions · ~40 min
2
A/B Testing & Experimentation4 questions · ~32 min
Pitfalls in Streaming Experiment AnalysisHard

Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.

Network InterferenceNovelty EffectSample Ratio MismatchDatavant
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3
Metrics3 questions · ~24 min
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisDatavant
Classify Leading vs Lagging MetricsEasy

Explain how to distinguish early directional metrics from outcome metrics, using a clear KPI framework tied to product decisions.

Lagging IndicatorsKPIsLeading IndicatorsDatavant
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4
SQL & Data Manipulation3 questions + 3 drills · ~54 min
5
Behavioral & Leadership12 questions · ~96 min
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6
More topics3 questions · ~24 min
Model Performance EvaluationEasy

Tests your ability to select metrics, validation strategy, and interpret results for ML models.

PrecisionAccuracyRecallDatavant
Interpreting Statistical SignificanceEasy

Tests ability to choose appropriate hypothesis tests and correctly interpret p-values.

Hypothesis TestingStatistical SignificanceP-ValuesDatavant
Predicting Patient ReadmissionsMedium

Tests your end-to-end modeling approach for a clinically relevant prediction problem.

User NeedsValue PropositionUse CasesDatavant
The finish line: interview-readyComplete all 30 questions plus 3 hands-on drills to finish this plan.