University of Chicago Data Scientist Interview Questions
The questions to prepare for a University of Chicago Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Rank University of Chicago departments by year-over-year external research grant growth using CTEs and window functions.
University of ChicagoCalculate year-over-year awarded grant growth by department using yearly aggregation and a self-join.
University of ChicagoUse joins and LAG to isolate departments driving a large month-over-month spending variance.
State of CaliforniaUniversity of Chicago
The Church of Jesus Christ of Latter-day SaintsExplain what a p-value means in hypothesis testing and how it relates to statistical significance.
University of ChicagoExplain variance as a measure of dispersion and why higher variance signals greater uncertainty in risk analysis.
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Choose a decision threshold for a classifier using precision, recall, calibration, and confusion matrix tradeoffs.
University of ChicagoExplain the difference between precision and recall, and how each reflects a different type of classification error.
University of ChicagoExplain how bias and variance affect generalization, and how model complexity changes the balance.
University of ChicagoApproach for safely backfilling missing data while preserving correctness, idempotency, and data quality.
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