Aramco energizes the world economy.
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 Aramcos 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 Kingdoms 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.
Saudi Aramco offers experienced engineers the opportunity to discover patterns and insights, using the latest IR 4.0 technologies, in some of the largest integrated Upstream databases in the world. We are looking for experienced professionals to join us in inferring data-driven decisions. Our petroleum engineers need to have deep knowledge in Machine Learning and Data Mining algorithms and techniques, mastery of Data Modeling Designs and data QC skills, excellent experience in writing Structured Query Language (SQL), as well as basic knowledge of Petrophysics, Data Security and Hydrocarbon Allocation. This senior technical role requires expertise in machine learning and data mining techniques to build the most advanced statistical models to solve complex Petroleum Engineering data challenges. This position is embedded within the Petroleum Engineering Data Management Division business and, as a senior data manager specialist, will engage with leaders and experts from across the upstream business.
You are expected to be able to perform the following:
Lead and participate in advanced data analytics studies and IR 4.0 projects which include EDA, data pre- processing, model construction, model evaluation and calibration
Apply latest IR 4.0 and advanced data analytics methods and keep up-to-date with the latest technologies
Conduct comprehensive petrophysical studies and analyses by integrating logging tool responses, rock, fluid and production data for formation evaluation and reservoir surveillance
Design and oversee core and fluid studies to enhance petrophysical models
Perform and oversee accurate Plant and Well Allocation processes
Enhance data quality in the well database by enhancing data flow processes
Propose data model design/business rules enhancements for data quality improvements
Develop and enforce data access control measures to maintain Petroleum Engineering data confidentiality
Conduct training for professionals with proper training materials
Act as technical advisor to management regarding best practices for advanced data analytics and data science topics
BS degree in petroleum engineering, geology, geophysics or physics. M.S. or Ph.D. is desirable but not required
Computer science BS degree with a master/specialization in artificial intelligence, data science or data analytics. Ph.D is desirable but not required
A minimum of 5 years of experience in the field of data science, advanced data analytics or artificial intelligence domains. Mastery of machine learning algorithms, which include: Deep Learning algorithms (Feed forward neural networks, convolutional neural networks, recursive neural networks), classification algorithms (Random forest, C45, SVM, Bayesian, KNN), clustering algorithms (K-means, hierarchical, DBSCAN), reinforcement Learning and recommendation systems
A Minimum of 10 years of intensive experience in the area of data management. Technical publications are valued but in-depth practical experience is paramount
Demonstrated ability to work effectively in multi-disciplinary teams and to communicate ideas clearly with specialists in Petroleum Engineering data management, reservoir characterization and geologic modeling, petro- physical evaluation, core analysis, reservoir management, and production engineering
Proficiency in SQL to access, communicate and work with data
Good knowledge in data visualization to translate results into figure and graphs
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 worlds 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.
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Saudi Aramco is the world’s largest integrated oil and gas company; its upstream operations are based in the Kingdom of Saudi Arabia and it also operates a global downstream business. Headquartered in the city of Dhahran, the company operates in eight locations within the Kingdom and 20 locations overseas, and employs around 76,000 people.