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Johns Hopkins University Data Scientist Interview Questions

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

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Power Analysis for Experiment Planning
Medium

Reason about power analysis when planning an experiment and choosing sample size.

ExperimentationPower AnalysisSample Size
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Improve Engagement with A/B Testing
Easy

Design an A/B test to lift engagement, with a clear hypothesis, power, guardrails, and a pre-registered ship rule.

ExperimentationHypothesis TestingA/B Testing
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Avoid Pitfalls in Online Experiments
Hard

Explain common online experimentation pitfalls and how to design, analyze, and decide in ways that avoid false wins.

Network InterferenceNovelty EffectSample Ratio Mismatch
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SQL Rolling Average and Cohorts
Medium

Tests SQL window function proficiency for cohort analytics and rolling aggregations.

Window FunctionsRankingRunning Totals
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Validating Models for External Patients
Medium

Tests your approach to robust validation and generalization across patient cohorts.

Cross-ValidationModel Evaluation
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Designing Research Analytics Metrics
Medium

Tests product sense for defining measurable outcomes aligned to clinical research and analytics goals.

MetricsUser NeedsProduct Vision
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