Data Scientist - Fraud Analytics : Local to Austin Texas preferred

Position : Data Scientist - Fraud Analytics : Local to Austin Texas preferred : Only USA
Location : Austin Texas (Onsite & Local)
Type of Job : Contract : 12 Months
Experience : 10+ Years 

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

Secondary Skills
•    Neo4j
•    Python
•    Model Explainability
•    Statistics
•    Experimentation Frameworks

Key Responsibilities
•    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.

Responsibilities Area
•    Data Science & AI Strategy
•    Solution Design & Model Development
•    Fraud Analytics & Investigation Insights
•    Technical Leadership
•    Team Mentoring & Stakeholder Management