University of Pennsylvania Data Scientist Interview Questions
The questions to prepare for a University of Pennsylvania Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
University of PennsylvaniaExplain what a p-value means in hypothesis testing and how it relates to statistical significance.
University of PennsylvaniaExplain what a confidence interval means and how to communicate it to a non-technical stakeholder.
University of PennsylvaniaTests advanced SQL performance tuning and ability to work with large clinical datasets.
University of PennsylvaniaUse LAG and window functions to identify the slowest stage in the fulfillment chain.
InstacartRank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
WaymoUse joins, CTEs, and row ranking to resolve conflicting customer profile values across ACME House systems.
Ramsey Solutions
ACME HouseApproach for handling schema changes and data quality checks in a high-volume data lake pipeline.
University of PennsylvaniaExplain how to validate model results before presenting them, including stability checks, calibration, uncertainty, and error review.
University of PennsylvaniaDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
University of PennsylvaniaTests model evaluation, suitability assessment, and awareness of clinical or academic constraints.
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