Philadelphia, PA5 days ago
Build transparent and interpretable models where explainability is important, including logistic regression, generalized linear models, decision trees, monotonic models, calibrated models, scorecard-style models, or explainable boosting approaches. Experience building scorecards, risk scores, health scores, engagement scores, churn scores, fraud scores, credit-style models, prioritization models, or operational decision-support models.