Lead Graph Data Scientist - Identity Analytics
San Antonio, Texas, UNITED STATES; Charlotte, North Carolina, UNITED STATES; Colorado Springs, Colorado, UNITED STATES; Phoenix, Arizona, UNITED STATES; Plano, Texas, UNITED STATES; Tampa, Florida, UNITED STATES
USD 164K-314K Senior-level Full Time
Tasks
- Compose peer reviewed technical documentation
- Deploy graph analytics for fraud detection
- Develop identity theft and authentication models
- Drive continuous innovation using graph neural networks
- Establish production modeling methodologies with model risk management
- Export insights to decision systems
- Generate fraud dense rings
- Identify criminal networks using graph databases
- Integrate new data sources for models and graphs
- Manage project portfolio milestones risks and impediments
- Mentor junior data scientists
- Train, validate, and deploy machine learning models
- Translate business questions into analytical work
- Update member protection graph technology strategy
Perks/Benefits
- N/A
Skills/Tech-stack
AML | Account takeover | Account takeover detection | Ad-Hoc | Ad-hoc Analytics | CatBoost | Clustering | DBSCAN | Data Modeling | Data Preprocessing | Decision Trees | Descriptive Statistics | Diagnostic statistics | Financial Crimes | Financial crimes detection | Fraud Detection | Graph Databases | Graph Neural Networks | Graph analytics | Hierarchical Clustering | Identity Theft Detection | Identity theft | Inferential Statistics | JSON | K-Means | LightGBM | Linear Regression | Logistic Regression | Machine Learning | Model Risk Management | Model risk | Neural Networks | NoSQL | Optimization | Python | Python Code | R | Random Forest | Risk Management | SQL | Simulation | Simulation optimization | Support Vector Machines | Synthetic Fraud | Theft Detection | Vector machines | XGBoost | XML
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Graph Data Scientist | Lead | Lead Graph Data Scientist | Scientist
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