Key Responsibilities

Advanced Analytics & Modeling
- Develop predictive models and statistical algorithms for Fraud, Waste, and Abuse (FWA) detection using SAS Viya and traditional SAS tools.
- Perform machine learning and AI-based anomaly detection leveraging Viya’s cloud-native capabilities.
SAS Viya Development
- Design and implement analytics workflows on SAS Viya, including data preparation, model training, and deployment.
- Optimize Viya environments for scalability and performance in on-prem and cloud setups.
Data Management
- Manage large health insurance datasets across Viya and SAS platforms ensuring data integrity and compliance.
- Integrate Viya with other systems for seamless data flow and governance.
Collaboration
- Work with business teams to define FWA strategies and KPIs.
- Partner with IT for Viya infrastructure setup and cloud migration.
Visualization & Reporting
- Build interactive dashboards and reports using Viya’s visualization tools.
- Present insights and recommendations to stakeholders for fraud prevention.

Qualifications

Education: Bachelor’s or Master’s in Data Science, Statistics, Computer Science, or related field.
Technical Skills:
- Strong proficiency in SAS Viya and SAS Base/Enterprise Guide.
- Experience with machine learning, AI, and statistical modeling on Viya.
- Knowledge of Python/R integration with SAS Viya and SQL.
Domain Expertise:
- Experience in health insurance analytics and FWA detection is highly desirable.
Additional Skills:
- Familiarity with cloud platforms (Azure, AWS) and Viya’s Kubernetes-based architecture.
- Strong analytical, problem-solving, and communication skills.