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 daily.
Reason about power analysis when planning an experiment and choosing sample size.
Johns Hopkins UniversityExplain what a p-value means in hypothesis testing and how it relates to statistical significance.
Johns Hopkins UniversityDesign an A/B test to lift engagement, with a clear hypothesis, power, guardrails, and a pre-registered ship rule.
Johns Hopkins UniversityInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
Johns Hopkins UniversityTests your approach to robust validation and generalization across patient cohorts.
Johns Hopkins UniversityTests SQL window function proficiency for cohort analytics and rolling aggregations.
Johns Hopkins UniversityTests product sense for defining measurable outcomes aligned to clinical research and analytics goals.
Johns Hopkins UniversityExplain common online experimentation pitfalls and how to design, analyze, and decide in ways that avoid false wins.
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Use PostgreSQL window functions to calculate user running spend and rank users by total spend within each signup cohort.
NewMarket
Deloitte
AllstateCalculate patient rolling 7-day averages and rank patients within each Medpace research site using layered window functions.
Medpace
Charles Schwab
Health Care Solutions At HomeRank Whova attendees by total engagement and calculate each user's chronological running engagement total.
Whova
TTT
Rhombus Power