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Updated weekly · Last refresh Nov 6

Caltech (California) Data Scientist Interview Questions

The questions to prepare for a Caltech (California) Data Scientist interview. Questions from real interview reports rank first. Updated daily.

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1
A/B Testing & ExperimentationStart here. 5 questions · ~44 min
Directionally Useful but Inconclusive TestHard

Decide whether to act on an A/B result that trends positive but is not statistically conclusive.

ExperimentationStatistical SignificanceA/B TestingCaltech (California)
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingCaltech (California)
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2
Statistics & Probability3 questions · ~27 min
Statistical vs Practical SignificanceMedium

Explain why a statistically significant experiment result may still be too small to matter for product or business decisions.

Confidence IntervalsExperimentationHypothesis TestingCaltech (California)
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3
Product Sense4 questions · ~35 min
Metric for Campus Information PortalMedium

Evaluates metric design for a large university information portal.

user experienceCaltech (California)
Define Success Metrics for a Digital ToolMedium

Assesses ability to define product metrics aligned with academic stakeholders.

User Needssuccess metricsProduct VisionCaltech (California)
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4
Behavioral & Leadership4 questions · ~35 min
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5
More topics3 questions · ~27 min
Running Average With Window FunctionsEasy
Practice

Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.

Window FunctionsData AnalysissqlCaltech (California)
Root Cause for Metric DropHard

Identify whether a sudden grid dashboard metric drop reflects a real operational change, data-quality issue, or dashboard defect.

dashboardsroot cause analysisoperational metricsCaltech (California)
Optimize Large PostgreSQL Query PerformanceMedium

Explain how to tune slow PostgreSQL queries on multi-million-row tables using indexes, execution plans, joins, and partitioning.

Performance Tuningquery optimizationsqlCaltech (California)

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
SQL and Experiment Case StudyHard
Practice
Practice drill

Combine joins, aggregations, and window functions to compare conversion and order metrics across A/B test variants.

Joinssqldata validationInstacart
Top Users SQL QueryMedium
Practice
Practice drill

Count valid daily interactions and return the top three users using aggregation and deterministic ranking.

data cleaningDate FunctionsGroup By
The finish line: interview-readyComplete all 19 questions plus 2 hands-on drills to finish this plan.