Data Science & Machine Learning Expert

<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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We are seeking a Data Scientist &amp; Machine Learning Expert to join the Advanced Sensors Team (AST) under the Oil &amp; Gas Network Integrity R&amp;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.<br />
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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 &amp; 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.<br />
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<b>Key Responsibilities</b></p>

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<li>Develop artificial intelligence algorithms utilizing deep learning, RNN, and advanced modeling approaches.</li>
<li>Research and develop innovative AI-powered sensing solutions for oil and gas business operations.</li>
<li>Alignment with business stakeholders in order to understand their goals and objectives.</li>
<li>Mentor junior personnel and provide consultancy in machine learning and data science technologies.</li>
<li>Lead development tasks and projects to address challenges experienced by Aramco operations.</li>
<li>File patents and present technical findings in published journal articles and at intra-company meetings.</li>
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<b>Minimum Requirements</b></p>
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<li>Master&
39;s degree in Computer Science or related field.</li>
<li>Ten years&
39; experience in technological and/or industrial sectors, with substantial experience in developing machine learning data driven solutions for sensing and monitoring applications.</li>
<li>Strong data science background for the purpose of developing AI sensor technologies.</li>
<li>Significant programming experience with C/C++ and Python.</li>
<li>Experience developing mobile applications on platforms including iOS and Android, and standalone desktop applications using Java, Python, HTML, and SQL.</li>
<li>Demonstrated active participation in technology development and technical seminars.</li>
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<b>Certificates</b><br />
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Data not available<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>
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