aramco
Senior Data Analytics Specialist - Relocate to Saudi Arabia
aramco, Denver, Colorado, United States, 80285
Overview
Senior Data Analytics Specialist - Relocate to Saudi Arabia Aramco energizes the world economy. Aramco is one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world and to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, with offices around the world, we combine market discipline with a long-term view of the future. We are one of the most profitable companies in the world and among the top five global companies by market capitalization. We are seeking a Data Analytics Specialist to join the Digital Engineering Solutions Division under the Process & Control Systems Department. The department provides services in process engineering, automation, new energy and digitalization to various Aramco entities.
As a Data Analytics Engineer, you will lead innovation within the business and define how data assets and analytics create additional value. You will identify and solve strategic and tactical analytic problems to enhance operational efficiency. Responsibilities
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 present findings to other organizations and conferences to advance industry knowledge. Promote a learning environment through knowledge-sharing and foster a culture of continuous learning and innovation. Provide leadership and mentorship to junior team members and specialists. Qualifications
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, 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 Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI). Expertise in visualization tools and 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 challenging and rewarding professional, technical and industrial opportunities we offer and are remunerated accordingly. Aramco invests heavily in talent development and provides workforce development programs—one of the largest in the world—to help employees improve sector-specific knowledge and competencies. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries Oil and Gas
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Senior Data Analytics Specialist - Relocate to Saudi Arabia Aramco energizes the world economy. Aramco is one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world and to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, with offices around the world, we combine market discipline with a long-term view of the future. We are one of the most profitable companies in the world and among the top five global companies by market capitalization. We are seeking a Data Analytics Specialist to join the Digital Engineering Solutions Division under the Process & Control Systems Department. The department provides services in process engineering, automation, new energy and digitalization to various Aramco entities.
As a Data Analytics Engineer, you will lead innovation within the business and define how data assets and analytics create additional value. You will identify and solve strategic and tactical analytic problems to enhance operational efficiency. Responsibilities
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 present findings to other organizations and conferences to advance industry knowledge. Promote a learning environment through knowledge-sharing and foster a culture of continuous learning and innovation. Provide leadership and mentorship to junior team members and specialists. Qualifications
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, 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 Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI). Expertise in visualization tools and 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 challenging and rewarding professional, technical and industrial opportunities we offer and are remunerated accordingly. Aramco invests heavily in talent development and provides workforce development programs—one of the largest in the world—to help employees improve sector-specific knowledge and competencies. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries Oil and Gas
#J-18808-Ljbffr