Jumbo Consulting Data Scientist Interview Questions
The questions to prepare for a Jumbo Consulting Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Identify major online experimentation pitfalls and explain practical mitigations for SRM, network effects, peeking, and novelty.
Differentiate between Type I and Type II errors in hypothesis testing with a practical example.
Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
Explain what statistical significance means and why it matters when interpreting experimental or analytical results.
Calculate three-day rolling average sales by region using aggregation, joins, and PostgreSQL window functions.
Define a success metric for a new feature that captures real user value, not just raw usage.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
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Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.
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