Lead Graph Data Scientist - Identity Analytics
San Antonio Home Office I, United States
USD 164K-314K Senior-level Full Time
Tasks
- Apply graph neural networks for fraud modeling
- Build and prioritize fraud dense rings
- Compose and peer review technical documents
- Deploy member protection graph analytics capabilities
- Develop and update identity theft and authentication models to mitigate fraud
- Develop reusable production ready algorithms and code
- Ensure model risk management compliance and monitoring
- Generate insights for decision systems
- Implement machine learning models for fraud detection
- Integrate new data sources for models and graphs
- Manage project milestones risks and impediments
- Mentor junior data scientists and staff
Perks/Benefits
Skills/Tech-stack
Account takeover | Account takeover detection | CatBoost | DBSCAN | Data Preprocessing | Decision Trees | Fraud Detection | Graph Databases | Graph Neural Networks | Graph analytics | Hierarchical Clustering | Identity Theft Detection | Identity theft | JSON | K-Means | K-means Clustering | LightGBM | Linear Regression | Logistic Regression | Machine Learning | Nearest neighbors | Neural Networks | NoSQL | Predictive Analytics | Python | R | Random Forest | SQL | Statistical modeling | Support Vector Machines | Synthetic Fraud | Synthetic Fraud Detection | Theft Detection | Vector machines | XGBoost | XML
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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