Descartes Underwriting Data Scientist Interview Questions
The questions to prepare for a Descartes Underwriting Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Calculate the monthly spending trends for customers using window functions and joins.
Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin MooreUse joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.
QlikDefine the core metrics for a new product launch, from early adoption and activation to retention and long-term value.
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Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Describe a practical approach to data governance across shared data pipelines, including quality, ownership, lineage, and controlled data access.
Train a supervised model to predict customer behavior from historical activity, profile, and interaction data.
Define a success metric for a new feature that captures real user value, not just raw usage.
Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
Explain the best practices for evaluating a model and choosing metrics that match the task.