Top 28
Prep plan
Updated weekly · Last refresh Aug 30

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 weekly.

28questions
~4htotal time
Track your progressSign up free to work through all 28 questions and resume where you left off.
Start practicing free →
1
Machine LearningStart here. 7 questions · ~61 min
2
Model Evaluation3 questions · ~26 min
Choosing Classification Evaluation MetricsEasy

Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.

PrecisionAccuracyRecallCatalyst Labs
Explain Cross-Validation in Model SelectionEasy

Explain what cross-validation is and why it matters when choosing between models.

Cross-ValidationAccuracyThreshold TuningCatalyst Labs
More Model Evaluation questions with a free account
3
Statistics & Probability3 questions · ~26 min
Statistical Project WalkthroughMedium

Walk through a past project using hypothesis testing and regression to turn data into a decision.

RegressionHypothesis TestingStatistical SignificanceCatalyst Labs
More Statistics & Probability questions with a free account
4
Behavioral & Leadership9 questions · ~78 min
More Behavioral & Leadership questions with a free account
5
More topics6 questions · ~52 min
SQL Window Functions for RevenueMedium
Practice

Use PostgreSQL window functions to rank Devoteam cohort users and calculate cumulative revenue within each signup cohort.

Window FunctionsRankingRunning TotalsCatalyst Labs
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisCatalyst Labs
Define Metrics for a Customer TestHard

Define the primary metric, guardrails, and power for a customer-facing A/B test before deciding whether to ship.

ExperimentationGuardrail MetricsA/B TestingCatalyst Labs
Prepare Training Data PipelineMedium

Outline a repeatable pipeline for cleaning, validating, and preparing a dataset for model training.

ETLData ModelingQualityCatalyst Labs
More questions with a free account

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan
Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
The finish line: interview-readyComplete all 28 questions plus 2 hands-on drills to finish this plan.