UC San Francisco Data Scientist Interview Questions
The questions to prepare for a UC San Francisco Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain what statistical significance means and why it matters when interpreting experimental or analytical results.
UC San FranciscoChoose the right randomization unit for a customer-facing experiment and explain how that choice affects metrics, power, and validity.
UC San FranciscoExplain how to reduce overfitting using regularization, validation, and model selection.
UC San FranciscoDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
UC San FranciscoTests practical data cleaning decisions and impact on downstream analysis quality.
UC San FranciscoUse joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.
HarbourVest PartnersAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Inc.
Benjamin MooreRank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
WaymoExplain how you evaluate models using the right metrics, validation strategy, and error analysis for the problem.
UC San FranciscoTests your performance engineering skills for data pipelines and scalable analytics.
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