Lead Data Scientist - Fraud Analytics
United IT Solutions
Role: Lead Data Scientist - Fraud Analytics
Location: Dallas, TX (100% Onsite)
Job Summary: We are looking for a Lead Data Scientist with strong expertise in Fraud Analytics, Machine Learning, and AI-driven fraud detection solutions. The ideal candidate will lead end-to-end fraud use case discovery, model development, feature engineering, and deployment of advanced fraud detection systems leveraging ML, Graph Analytics, and AI techniques. Required Skills
Primary Skills
Location: Dallas, TX (100% Onsite)
Job Summary: We are looking for a Lead Data Scientist with strong expertise in Fraud Analytics, Machine Learning, and AI-driven fraud detection solutions. The ideal candidate will lead end-to-end fraud use case discovery, model development, feature engineering, and deployment of advanced fraud detection systems leveraging ML, Graph Analytics, and AI techniques. Required Skills
Primary Skills
- Fraud Analytics
- Machine Learning
- Graph Analytics
- Feature Engineering
- Dataiku
- Agentic AI Architecture
- Neo4j
- Python
- Model Explainability
- Statistics
- Experimentation Frameworks
- Lead fraud use case discovery and scenario design.
- Define fraud detection strategies using business rules, Machine Learning, and graph techniques.
- Identify predictive variables and build fraud feature catalogues.
- Build and validate pilot fraud detection models.
- Optimize precision, recall, and fraud catch rates.
- Collaborate with engineering teams on low-latency scoring architectures.
- Drive model explainability, governance, and compliance initiatives.
- Support shadow runs and challenger model validation against existing systems.
- Data Science & AI Strategy
- Solution Design & Model Development
- Fraud Analytics & Investigation Insights
- Technical Leadership
- Team Mentoring & Stakeholder Management
Vacancy posted 4 days ago
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