Catalina Data Scientist Interview Questions
The questions to prepare for a Catalina Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Rank Catalina products by sales revenue in the last year using a date-filtered join, aggregation, and ROW_NUMBER.
CatalinaExplain how to detect and handle NULL values in SQL using filtering, COALESCE, CASE, and business-aware imputation.
CatalinaFind the top 10 products by total sales revenue using joins, aggregation, and a CTE.
RTX
iSmile TechnologiesCatalinaAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Inc.
Benjamin MooreExplain why a pneumonia classifier with 91% precision but 68% recall may still be unsafe, and recommend which metric to prioritize.
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Choose a metric hierarchy for a new product launch that covers adoption, customer value, and financial performance.
CatalinaExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
CatalinaExplain how you used data analysis to make a business recommendation and drive a clear product decision.
CatalinaExplain how to evaluate whether an A/B test result is statistically significant and how to interpret the result.
CatalinaApproach for maintaining data quality and integrity across ETL pipelines.
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