Aramco occupies a unique position in the global energy industry. We are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.
With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco's value to society.
Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations' spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.
We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.
We are seeking a Data Scientist & Machine Learning Expert to join the Advanced Sensors Team (AST) under the Oil & Gas Network Integrity R&D Division, which focuses on rapid technology development aimed providing solutions for integrity related challenges, and decreasing the cost of corrosion and related activities including: inspection, monitoring, and maintenance.
This role will contribute to research and portfolio development, including: artificial intelligence powered sensor solutions for integrity monitoring, reliability enhancement, and inspection technologies. The Data Scientist & Machine Learning Expert will also be responsible for designing and developing machine learning applications in order to meet project objectives related to the prototyping, validation, and deployment of sensing technologies.
Develop artificial intelligence algorithms utilizing deep learning, RNN, and advanced modeling approaches.
Research and develop innovative AI-powered sensing solutions for oil and gas business operations.
Alignment with business stakeholders in order to understand their goals and objectives.
Mentor junior personnel and provide consultancy in machine learning and data science technologies.
Lead development tasks and projects to address challenges experienced by Aramco operations.
File patents and present technical findings in published journal articles and at intra-company meetings.
Master's degree in Computer Science or related field.
Ten years' experience in technological and/or industrial sectors, with substantial experience in developing machine learning data driven solutions for sensing and monitoring applications.
Strong data science background for the purpose of developing AI sensor technologies.
Significant programming experience with C/C++ and Python.
Experience developing mobile applications on platforms including iOS and Android, and standalone desktop applications using Java, Python, HTML, and SQL.
Demonstrated active participation in technology development and technical seminars.
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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 truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world's biggest technical, logistical and environmental challenges, we invest heavily in talent development.
We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs - one of the largest in the world.