Senior Data Analytics Specialist - Relocate To Saudi Arabia
- Chubut
- Permanente
- Tiempo completo
Senior Data Analytics Specialist - Relocate to Saudi Arabia.
This role is with Aramco in the Digital Engineering Solutions Division under the Process & Control Systems Department.
Candidate must relocate to Saudi Arabia.
All applications must be submitted in English.
Duties and Responsibilities
As a successful candidate you will be required to perform the following:
Identify and develop advanced analytics use cases to resolve complex technical challenges, optimize processes, enhance revenue, ensure environmental sustainability, and improve safety.
Drive ideas from conception to production using best-in-class Machine Learning Operations (MLOps) and Development Operations (DevOps) practices.
Develop and optimize Machine Learning (ML) models and pipelines, ensuring their efficient deployment, monitoring, and scaling.
Explore diverse data sources to improve predictive modeling and optimize business strategies.
Assess Artificial Intelligence (AI) tools and methods for data analysis, enhancing business impact and decision-making.
Implement predictive modeling techniques to optimize production facilities, revenue streams, and operational efficiencies.
Generate documentation in line with established standards to support the development and deployment process.
Collaborate with cross-functional teams, including IT, engineering, and business stakeholders, to drive data-driven solutions.
Contribute to technical task forces investigating incidents and solving domain-specific problems using AI/ML techniques.
Publish research papers for peer-reviewed journals and presents findings to other organizations and conferences to advance industry knowledge.
Foster a learning environment through knowledge-sharing, and promote a culture of continuous learning and innovation.
Provide leadership and mentorship to junior team members and specialists.
Qualifications
As a successful candidate you will hold a:
Bachelor's degree in Data Science, Computer Science, Engineering, or a related field.
An advanced degree (Master's or PhD) focused on Data Science, AI, or ML Engineering with a background in Engineering is highly preferred.
20 years of overall experience, with hands-on experience in Data Science, Natural Language Processing (NLP), Computer Vision, and/or ML projects in the industry.
Expertise in MLOps, DevOps, AIOps, DataOps and related operational frameworks for model deployment, monitoring, and automation.
Experience in data collection, cleaning, preprocessing, and wrangling for industry-related problems based on domain knowledge.
Proficiency in platforms such as Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI).
Expertise in visualization tools and packages; UI experience with Power BI or similar tools.
Experience with IT architecture and deploying models in on-prem environments.
Strong understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and automation frameworks.
Demonstrated ability to publish research or contribute to industry knowledge through journal papers, conference proceedings, or whitepapers.
Working environment
Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.
At Aramco, our people work on world-scale projects, supported by investment in capital and technology.
We invest heavily in talent development and have a long history of educating and training our workforce, with programs that encourage continuous learning and knowledge sharing.
Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Oil and Gas and IT Services and IT Consulting
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