Catalist Data Scientist Interview Questions
The questions to prepare for a Catalist Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain how to evaluate whether an A/B test result is statistically significant and how to interpret the result.
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Tests your ability to select metrics, validation strategy, and interpret results for ML models.
CatalistAssess precision and recall for a model and explain how the threshold changes the tradeoff.
CatalistExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
CatalistTests your ability to recount a relevant data cleaning experience and outcomes.
CatalistUse multiple joins and conditional aggregation to summarize completed, positive, and total outreach activity by Catalist campaign.
CatalistUse joins, inequality filtering, and DISTINCT to find professors teaching courses outside their departments.
CatalistFind the second highest distinct salary from a single table using basic PostgreSQL ordering and limiting.
eClinicalWorks
Informatica
Spectraforce TechnologiesApproach for translating a complex research result into a clear, useful message for a non-expert audience.
CatalistTests awareness of experimental threats like bias, leakage, and incorrect randomization.
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