Petroleum Engineering Systems Analyst

<p><b>Aramco energizes the world economy. </b><br />
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Aramco occupies a unique position in the global energy industry. We are the world&
39;s largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.<br />
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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&
39;s value to society.<br />
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Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations&
39; spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom&
39;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.<br />
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We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.<br />
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<b>Overview</b><br />
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Saudi Aramco is seeking a senior data scientist to join their EXPEC ARC with 10+ work experience in relevant industries. We are seeking highly motivated, self-driven individuals with expertise in advanced data analytics and predictive techniques. As a candidate, you will join our team of world-renowned researchers as we push the boundaries of developing AI algorithms in support of the Oil and Gas industry. In this role, you will develop novel techniques to examine a wide variety of multi-disciplinary data, lead algorithmic research, develop and deploy technologies for different upstream challenges within a diverse research environment.<br />
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The successful candidates will be involved in all aspects of the creation and delivery of ML/AI-enabled solutions including problem definition, data acquisition, data exploration, feature engineering, experimenting with various ML algorithms, evaluating metrics, deploying models, and iteratively improving the total solution.<br />
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<b>Key Responsibilities</b><br />
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Lead and collaborate on research projects with internal and external researchers in a multi-disciplinary team<br />
Contribute research that can be applied to product development and work with experienced AI scientists and subject-matter experts to implement solutions<br />
Design and develop scalable solutions using AI tools and machine-learning models (recommendation systems through a combination of data mining and prediction techniques)<br />
Assemble large, complex data sets that meet functional / non-functional business requirements<br />
Pursue novel technologies to implement solutions and establishing new areas of research<br />
Write code to support research, usually in Python, C/C++<br />
Work towards long-term ambitious research goals, while identifying intermediate milestones<br />
Influence research communities by producing publications and participating at conferences<br />
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<b>Minimum Requirements</b><br />
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Experience holding a faculty, industry, or researcher position (A minimum of 10+ years)<br />
Ph.D. in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields<br />
Experience in theoretical and numerical research with a primary emphasis on statistical data analysis and experimental design (uncertainty quantification, Spatio-temporal statistics, Multivariate data analysis)<br />
Experience communicating research through publications in peer-reviewed conferences<br />
Excellent programming skills with an experience in developing and debugging in C/C++, Python, R, C
, SQL, NoSQL, Java, and Scala<br />
Deep understanding of Machine Learning &amp; Deep Learning algorithms<br />
Experience with big data, knowledge of analytic visualization tools (Hadoop, MongoDB, and Kafka).<br />
Knowledge of tools and platforms provided by various cloud providers such as AWS, Azure, and GCP<br />
Rich record of problem solving through patent and product development<br />
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<b>Working environment </b><br />
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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.<br />
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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&
39;s biggest technical, logistical and environmental challenges, we invest heavily in talent development.<br />
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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.</p>