Sr. Data Scientist

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.
• 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.

Skills

SAS Viya

machine learning

AI

statistical modeling

Python

R

SQL

cloud platforms

FWA detection

health insurance analytics

Kubernetes-based architecture

Education

Bachelor’s or Master’s in Data Science, Statistics, Computer Science, or related field

Tools

SAS Base/Enterprise Guide

Kubernetes

Azure

AWS

Python integration with SAS Viya

Job description

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

Requirements

• 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.