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 daily.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
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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Train a supervised model to predict customer behavior from historical activity, profile, and interaction data.
Explain the best practices for evaluating a model and choosing metrics that match the task.
Identify key success metrics for a new product launch and evaluate their impact on user engagement and retention.
Framework for keeping marketing analysis tied to client goals, decision needs, and measurable business outcomes.
Common pipeline issues when combining multiple data sources, including schema mismatch, data quality, orchestration, and duplicate handling.
Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.