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Data Science Specialist
Saudi Arabia
Apr 07, 2019
Salary: Negotiable
Experience 10.0-15.0 years
Job Category Engineering Jobs
Employment Type Full time
Industry Oil & Gas
Skill Research & Development, Chemical Engineering, Chemist
Role Chemical Engineering Jobs,Other Engineering Jobs
Designation Other
Education Post Graduate
No. of vacancies 1
About Company

Saudi Aramco, a fully integrated, global petroleum and chemicals enterprise, is the state-owned oil company of the Kingdom of Saudi Arabia. Through our 80-year history we have become a world leader in hydrocarbons exploration, production, refining, distribution, shipping and marketing, and the world’s top exporter of crude oil and natural gas liquids (NGLs). We manage proven conventional crude oil and condensate reserves of 260.2 billion barrels. Our average daily crude production in 2013 was 9.4 million barrels per day (bpd).

Job Description

We are seeking a Data Science Specialist to join the Chemicals R&D Division (CRDD) of Saudi Aramco's Research and Development Center (R&DC). 
The R&DC has been in the process of establishing a High Throughput Research Center (HTRC) to support the accelerating of the development timeline of in-house catalytic technologies, mainly in the area of chemicals. The HTRC facility requires essential competencies and knowledge in the area of heterogeneous catalyst design and optimization, along with supporting skills such as the design of experiments, advanced statistical data modeling, and scale-up methodologies. 

Your primary role will require developing data visualizations and analytical applications, multi-source data retrieval systems, data analysis/mining, production of interactive dashboards, charts and visualization diagrams for trend prediction and decision making. 
You will apply your skill set to build data conduits and models from continuously operating high-throughput chemical reactor workflows, utilizing sensor and analytics data. 

Minimum Requirements

As the successful candidate, you will hold a Ph.D. degree in one of the following disciplines: computer science, materials science, chemistry, or physics from a recognized institution. 
You will have at least 15 years of industrial experience, including at least 10 years of experience working on machine learning applied to optimization of continuous processes. 
You should have experience and a robust background in computer application development in typical computer languages (Python, C#, Java, JavaScript, PHP), Databases (RDBMS, SQL/NoSQL) and web technologies. 

You must have a record of publications in recognized international peer reviewed journals. 

Duties & Responsibilities

You will be required to perform the following: 
Develop computational models to simulate catalytic reaction systems, with the intent of optimizing product yields based on multiple input variables. 
Use state-of-the-art machine learning techniques to improve the prediction accuracy of the models, develop tools for the identification of optimal conditions, and make possible AI driven decisions for chemical process development. 
Remain updated with the current and fast evolving field, to be able to publish technical findings in international peer reviewed journals and spread awareness of the latest tools and techniques in the organization. 
Supervise and provide technical leadership to a team of scientists and engineers, and be responsible for the training and development of junior mentees. 
Organize and lead teams for specific projects and tasks, and manage discussions with internal and external project teams. 

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