General Mills Data Scientist Interview Questions
The questions to prepare for a General Mills Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.
Interpret an ROC curve for a classification model and explain what it says about ranking quality and threshold choice.
Explain common online experimentation pitfalls and how to design, analyze, and decide in ways that avoid false wins.
Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
Evaluates your statistical understanding and diagnostic skills for linear regression models.
Assesses your structured debugging approach for metric anomalies in production.
Tests product sense for defining success metrics tied to user and business impact.
Explain precision vs recall and when business context should push you to optimize one metric over the other.
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Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
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