Data Analytics Specialist

Position : Data Analytics Specialist

We are seeking a Data Analytics Specialist to join our Digital Engineering Solutions Division under the Process & Control Systems Department.

The Process and Control Systems Department provides services in process engineering, automation, new energy, and digitalization within Aramco.

As a Data Analytics Engineer, your role will be to lead innovation and define how the business creates value through data assets and analytics. You will identify and solve strategic and tactical business problems to improve operational efficiency.

Responsibilities :

• Identify and develop advanced analytics use cases to resolve complex challenges, optimize processes, enhance revenue, and improve safety and environmental sustainability.
• Drive ideas from conception to production using best practices in Machine Learning Operations (MLOps) and Development Operations (DevOps).
• Develop and optimize ML models and pipelines, ensuring their deployment, monitoring, and scaling.
• Explore diverse data sources to improve predictive modeling and business strategies.
• Assess AI tools and methods for data analysis to enhance decision-making.
• Implement predictive modeling techniques to optimize production and operational efficiencies.
• Document processes according to standards to support development and deployment.
• Collaborate with IT, engineering, and business teams to drive data-driven solutions.
• Contribute to technical task forces on incidents and domain-specific problems using AI / ML techniques.
• Publish research papers and present findings at conferences to advance industry knowledge.
• Promote a culture of continuous learning and innovation.
• Provide leadership and mentorship to junior team members.

Minimum Requirements :

Job Posting Duration :

Start Date : 07 / 10 / 2025

End Date : 12 / 31 / 2025

Working Environment :

Our employees are supported by investment in capital and technology, working on world-scale projects. We emphasize talent development through extensive training and workforce development programs.

#J-18808-Ljbffr