Marlabs Data Scientist Interview Questions
The questions to prepare for a Marlabs Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain how to design, power, monitor, and analyze an A/B test so its conclusions are statistically and practically valid.
Explain how to select, execute, and interpret statistical significance tests for A/B test results.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Aggregate sales by category and return the three highest-performing categories.
Explain statistical significance, p-values, uncertainty, and practical importance to a non-technical audience.
Define a success metric for a new feature that captures real user value, not just raw usage.
Calculate three-day rolling user activity averages and classify behavior trends with SQL window functions.
Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
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