About this role
Lead Fraud Data Scientist at Félix. Location: New York City, New York, United States. Role: defining strategy, developing models, mentoring team Requirements: 5+ years hands-on data science experience; leadership in data science projects; expert Python and advanced SQL; experience with tree-based models, model explainability (SHAP/LIME), handling imbalanced data, unsupervised techniques, and cloud model deployment/monitoring. 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, Neo4j, NetworkX, Graph Neural Networks (GNNs), GCP, Vertex AI, AWS, Azure, Tableau, Looker Commitment: Full Time Workplace: Hybrid Languages: English