Grupo Aubay Data Scientist Interview Questions
The questions to prepare for a Grupo Aubay 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.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
Compute each user's seven-day activity average and compare it with the corresponding rolling average from the prior week.
Build a systematic process to validate a 10% overnight KPI decline, isolate its cause, and recommend corrective action.
Define a success metric for a new feature that captures real user value, not just raw usage.
Explain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.
Diagnose a below-expectations product metric drop using decomposition, guardrails, and experiment checks.
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Calculate monthly cohort retention using date-based cohorts, aggregation, and window functions.
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