Saudi Aramco
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Data Scientist

Job Description and Requirements

As the successful candidate, you will hold a Bachelor’s degree in chemical engineering, electrical engineering, or computer engineering or other related degree from an accredited university. An advanced degree in operations research, applied statistics, data mining, machine learning, physics, or a related quantitative discipline is an asset. 

You should have 5-10 years of experience in a technical specialty, have experience in oil and gas business and applications (refineries, gas plants, producing), and recognized as a potential technical leader in his field.

Course work in applied statistics, data mining, machine learning, and optimization techniques is an asset. Understanding of statistical and predictive modeling concepts, machine-learning approaches, neural networks, clustering and classification techniques, and optimization algorithms. Knowledge of Python, R, Matlab, and other machine learning frameworks is an asset.

Duties & Responsibilities:
You will be required to perform the following:

Provides expert advice and assistance to Company organizations, outside vendors, manufacturers, and design firms on matters relating to his area of expertise.

Originates and carries out engineering studies to determine potential problems and remedies to existing problems resolve complex technical problems, increase revenue, optimize processes, protect the environment, or improve safety.

Develops and maintains Saudi Aramco Engineering Standards and Design Best Practices, Design Manuals, or other documentation to enhance Company profitability, safety, and productivity.

Evaluates and introduces best practices and new technologies from all over the world to help the Company achieve best-in-class positions in the oil business.

Reviews and evaluates the capabilities of vendors and contractors to determine their acceptability to perform major services to Aramco. Acts as Aramco’s representative in dealings with vendors and manufacturers pertaining to his field of experience.

Works on or with task forces assigned to investigate incidents or solve specific problems. Performs cost analyses and value engineering studies as appropriate.

Undertakes special assignments requiring extensive technical experience and discretion when dealing with outside organizations.

Conducts seminars in the resolution of technical problems with personnel in other Engineering organizations. Writes papers for peer-reviewed journals on engineering studies and projects he has overseen.

Provides engineering leadership to others assigned to assist him. Acts as a professional mentor to less senior specialists and engineers.

Promotes a learning environment and implements self-development to maintain and improve expert status within his engineering specialty.