Senior Data Scientist - FWA Analytics on SAS Viya

Total-TECH Co.; Jeddah; On-site; SAR 200,000 - 320,000; Full time

Job summary

A tech solutions company in Jeddah is seeking a Data Science professional to develop predictive models and perform anomaly detection using SAS Viya. Responsibilities include designing analytics workflows, optimizing environments for performance, managing health insurance datasets, and presenting insights to stakeholders. Required qualifications include a degree in a relevant field and proficiency in SAS tools, machine learning, and cloud platforms.

Qualifications

• Bachelor’s or Master’s in Data Science, Statistics, Computer Science, or related field.
• 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.
• Experience in health insurance analytics and FWA detection is highly desirable.
• Familiarity with cloud platforms (Azure, AWS) and Viya’s Kubernetes‑based architecture.
• Strong analytical, problem‑solving, and communication skills.

Responsibilities

• Develop predictive models and statistical algorithms for Fraud, Waste, and Abuse detection using SAS Viya.
• Perform machine learning and AI-based anomaly detection leveraging Viya’s capabilities.
• Design and implement analytics workflows on SAS Viya.
• Optimize Viya environments for scalability and performance.
• Manage large health insurance datasets ensuring data integrity.
• Integrate Viya with other systems for seamless data flow.
• Work with business teams to define FWA strategies and KPIs.
• Partner with IT for Viya infrastructure setup and cloud migration.
• Build interactive dashboards and reports using Viya’s tools.
• Present insights and recommendations to stakeholders.

Job description

A tech solutions company in Jeddah is seeking a Data Science professional to develop predictive models and perform anomaly detection using SAS Viya. Responsibilities include designing analytics workflows, optimizing environments for performance, managing health insurance datasets, and presenting insights to stakeholders. Required qualifications include a degree in a relevant field and proficiency in SAS tools, machine learning, and cloud platforms.