About this role
Lead Fraud Data Scientist at Félix. Location: Miami or New York or San Francisco. Role: detecting fraud, building models, mentoring scientists Requirements: 5+ years data science experience, leadership in ML projects, expert Python and advanced SQL, experience with tree-based models (XGBoost/CatBoost/LightGBM), model explainability (SHAP/LIME), unsupervised techniques, cloud model deployment (GCP/AWS/Azure), and strong stakeholder communication. Category: Data and Analytics Seniority: Senior Level Tools: Python, pandas, scikit-learn, SQL, XGBoost, CatBoost, LightGBM, Logistic Regression, Lasso, Ridge, SHAP, LIME, K-Means, K Nearest Neighbors, Isolation Forest, GCP, Vertex AI, AWS, Azure, Tableau, Looker, Neo4j, NetworkX, Graph Neural Networks (GNNs), Experian, Equifax, TransUnion, MLOps, CI/CD Commitment: Full Time Workplace: Hybrid Languages: English