Costar Group Data Scientist Interview Questions
The questions to prepare for a Costar Group Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Use GROUP BY and SUM to rank the top 10 customers by total revenue from a single sales table.
Costar GroupCalculate month-over-month sales growth for each product category using JOINs and window functions.
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Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.
Costar GroupDecide which features belong in an initial launch versus a later phase.
Costar GroupExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
Costar GroupTests hypothesis testing, confidence intervals, and correct interpretation of metric changes.
Costar GroupExplain how to tell whether a model is overfitting or underfitting using train versus validation performance and related checks.
Costar GroupTests understanding of threats to validity and ability to diagnose experiment failures.
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