Lead Graph Data Scientist - Identity Analytics
Core
Develop and refine identity theft and authentication models using graph technology to reduce fraud losses and mitigate account takeover attempts for the military community.
Role type
Lead Graph Data Scientist (Identity Analytics)
Builds
Production graph databases, fraud detection models, and member protection strategies
Domain
Financial services / Fraud prevention / Graph analytics
Deliverable
production ML models
Required skills
Graph database management, Graph neural networks, Supervised modeling (Random Forest, XGBoost, LightGBM, CatBoost), Unsupervised modeling (k-means, DBSCAN), Python, SQL, NoSQL, Statistical analysis, Project management, Mentoring
Preferred skills
None stated
Technologies
Python, SQL, NoSQL, JSON, XML
Responsibilities
Deploy graph databases to uncover criminal networks involved in fraud and AML; Mentor junior technical staff in model development; Collaborate with strategy and fraud teams on model prioritization; Integrate new data sources to strengthen predictive performance; Translate business requests into analytical questions and communicate findings to non-technical leaders; Manage project milestones, risks, and impediments; Establish best practices for deploying production-ready analytical assets.
Seniority
Lead, hands-on IC with mentorship responsibilities