Sonata Data Scientist Interview Questions
The questions to prepare for a Sonata Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Calculate three-day rolling user activity averages and classify behavior trends with SQL window functions.
Explain how to diagnose and optimize a slow PostgreSQL query on large customer datasets.
Explain how to profile, clean, and standardize missing or dirty data before analysis.
Join customers and transactions, filter to the previous quarter, aggregate spend, and return the top three customers by total spend.
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Quantiphi
DiscoverSegment McAfee users by subscription tier and active login frequency using a subquery and CASE expression.
McAfeeAssess conflicting segment results by checking data quality, interaction effects, multiple testing, and practical significance before deciding.
Explain how to select, execute, and interpret statistical significance tests for A/B test results.
Identify major online experimentation pitfalls and explain practical mitigations for SRM, network effects, peeking, and novelty.
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Explain what statistical significance means, how p-values and confidence intervals support decisions, and why significance alone is not enough.
Define a success metric for a new feature that captures real user value, not just raw usage.