Catalyst Labs Data Scientist Interview Questions
The questions to prepare for a Catalyst Labs Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Walk through a past project using hypothesis testing and regression to turn data into a decision.
Catalyst LabsExplain how to test whether an observed 5% conversion rate drop is statistically significant in an experiment or before-after comparison.
Catalyst LabsExplain what cross-validation is and why it matters when choosing between models.
Catalyst LabsExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
Catalyst LabsUse PostgreSQL window functions to rank Devoteam cohort users and calculate cumulative revenue within each signup cohort.
Catalyst LabsOutline a repeatable pipeline for cleaning, validating, and preparing a dataset for model training.
Catalyst LabsDefine the primary metric, guardrails, and power for a customer-facing A/B test before deciding whether to ship.
Catalyst LabsDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
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