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Palo Alto Veterans Institute for Research Data Scientist Interview Questions

The questions to prepare for a Palo Alto Veterans Institute for Research Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

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1
PipelinesStart here. 3 questions · ~24 min
Handling Missing Data in PipelinesMedium

Approach for handling missing data in an ML data pipeline, including validation, imputation, and safe downstream consumption.

InfrastructureETLBatch ProcessingPalo Alto Veterans Institute for Research
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2
Statistics & Probability3 questions · ~24 min
Confidence Intervals for DifferencesMedium

Tests your understanding of interval estimation and interpretation for healthcare study results.

Confidence IntervalsCentral Limit TheoremHypothesis TestingPalo Alto Veterans Institute for Research
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3
A/B Testing & Experimentation3 questions · ~24 min
Avoiding Experimentation PitfallsHard

Tests your experimental rigor and ability to anticipate and mitigate common A/B testing failures.

PeekingNovelty EffectSample Ratio MismatchPalo Alto Veterans Institute for Research
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4
Behavioral & Leadership13 questions · ~104 min
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5
More topics6 questions · ~48 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 IndicatorsDiagnosisPalo Alto Veterans Institute for Research
Assess Analysis Accuracy and ReliabilityEasy

Explain how you validate that model evaluation results are accurate, reliable, and trustworthy before they are used.

Cross-ValidationCalibrationAccuracyPalo Alto Veterans Institute for Research
Communicating Findings with VisualizationEasy

Tests how effectively you communicate insights through clear visualizations for stakeholders.

CommunicationUser NeedsValue PropositionPalo Alto Veterans Institute for Research
Patient Risk Prediction with MLMedium

Tests your ability to build and evaluate ML models for patient risk prediction in healthcare research.

Cross-ValidationFeature EngineeringSupervised LearningPalo Alto Veterans Institute for Research
Cohort Summary with SQLMedium

Tests your ability to build correct cohort summaries from multiple clinical datasets using SQL.

JoinsCTEsAggregationsPalo Alto Veterans Institute for Research
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
The finish line: interview-readyComplete all 28 questions plus 3 hands-on drills to finish this plan.