Protium Data Scientist Interview Questions
The questions to prepare for a Protium Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Reverse each Protium loan's repayment events using ROW_NUMBER while preserving chronological row details.
Use CTEs and percentile-style ranking to find the top 5% of customers by 30-day transaction volume within each marketing channel.
Choose and compare classification models for consumer loan default prediction using explainability, validation strategy, and business tradeoffs.
Explain how to train and evaluate a classifier when the positive class is rare and accuracy is misleading.
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Explain how to validate a model before deployment, including thresholds, calibration, and holdout testing.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Assesses structured reasoning and assumptions for solving estimation problems.