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 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.
Aramco is seeking a Scientific IT Solutions Developer to join the Research Computer Applications Unit of its Research & Development Center (R&DC), which is responsible for managing all IT assets hardware / software in R&DC and developing innovative IT solutions to help R&DC users perform their duties in an easy and automated manner.
The Scientific IT Solutions Developer primary role is to focus on the implementation of full stack scalable systems and data solutions for high-volume, high-velocity data applications and high-performance computing which can accelerate oil and gas R&D projects. This important role works with research scientists across the lab with the primary goal of researching and developing cutting edge software solutions to complex problems.
Duties and Responsibilities:
Successfully conceptualize, develop, and test various statistical, AI and machine learning solutions to solve the future challenges.
Research, develop and maintain machine learning and statistical models for business requirements.
Partner with researchers to translate business analytic problems into technical solutions and actionable recommendations across the organization.
Work across the spectrum of statistical modelling, including: supervised, unsupervised and deep learning techniques to apply the right level of solution to the right problem.
Build frameworks leveraging APIs to industrialize AI models across the organization.
Collaborate with data and software engineers to enable deployment of models that will scale across the company’s ecosystem.
Master’s degree in Data Science or Computer Science.
Seven years of experience in relevant domains (Energy, Oil & Gas, Chemicals, Natural Resources, Mining & Metals, Utilities or Power) – with hands on experience developing and deploying solutions; at least five of which must have been in statistical software, i.e. Python, R, Octave, TensorFlow, Caffe or Theano.
Experience with big data technologies, such as: DevOps, Scrum, web development frameworks, and one or more programming languages (e.g. C#, Java, and Python).
Ability to utilize open-source and commercial tools and approaches to solve complex problems including information retrieval/extraction, machine learning/deep learning, and networking.
Excellent understanding of front and back-end development.
Knowledge of UNIX or Linux environments.
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.
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