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Updated weekly · Last refresh Sep 22

Washington University in St. Louis Data Scientist Interview Questions

The questions to prepare for a Washington University in St. Louis Data Scientist interview. Questions from real interview reports rank first. Updated daily.

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1
PipelinesStart here. 4 questions · ~37 min
Align Wearables With EHR VisitsHard

Tests data alignment strategies across wearable time series and irregular clinical records.

Data WranglingETLTime SeriesWashington University in St. Louis
HIPAA-Compliant Cluster Data ProcessingHard

Tests secure data handling practices and compliance controls for protected health information.

InfrastructureETLQualityWashington University in St. Louis
Handling Missing Wearable DataMedium

Tests missing-data strategies for wearable time series and robustness of model inputs.

Data WranglingETLQualityWashington University in St. Louis
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2
More topics5 questions · ~47 min
SQL for 30-Day ER VisitsMedium
Practice

Identify patients with a lumbar fusion followed by an emergency room visit within 30 days.

SubqueriesDate FunctionsJoinsWashington University in St. Louis
Choosing Models for Clinical UseMedium

Tests model selection tradeoffs between performance, interpretability, and clinical deployment needs.

Cross-ValidationCalibrationAccuracyWashington University in St. Louis
Predict Post-Lumbar Surgery ComplicationsHard

Tests end-to-end modeling for clinical risk prediction and evaluation design.

Cross-ValidationFeature EngineeringSupervised LearningWashington University in St. Louis
Adjusting for Confounding in WearablesHard

Tests causal thinking and statistical controls for confounding in intervention evaluation.

RegressionHypothesis TestingCausal InferenceWashington University in St. Louis
Modeling Post-Surgery Recovery TrajectoriesHard

Tests feature engineering and time-series reasoning for clinical outcomes using wearable data.

Feature EngineeringSupervised LearningTime SeriesWashington University in St. Louis

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