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Saudi Aramco
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Data Scientist

Job Description and Requirements

BS in Chemical Engineering, Electrical Engineering or Computer Engineering or other related degree from an accredited university. Advanced degree in data analytics, data science, applied statistics, operations research, process optimization or a related quantitative discipline is an asset. Course work in applied statistics, data mining, machine learning, and optimization techniques is a must. Understanding of statistical and predictive modeling concepts, machine-learning approaches, neural networks, clustering and classification techniques, and optimization algorithms is required. Knowledge of Python, R, Matlab & other machine learning frameworks is a must. General analytics (e.g. INFORMS CAP) and/or platform specific certification as an asset. 

Experience with selecting appropriate machine learning algorithms, building predictive and forecasting models, and solution deployment and maintenance is desirable. Experience with deployment of advanced analytics solutions based on machine learning techniques in upstream and downstream processes will be an asset. Knowledge of plant automation systems, standard real time interfaces such as OPC and process historians such as PI is desirable. Experience with identification of new advanced analytics use cases, business value quantification and working with multi-disciplinary teams on delivering analytics solutions will be an asset. Awareness of Digital Transformation area and experience with delivering Digitalization initiatives will be an asset.

Candidates 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/her field.

Duties & Responsibilities:
The candidate will be responsible for the following:

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

Originates and carries out studies to identify potential advanced analytics use cases and applications to existing problems resolve complex technical problems, increase revenue, optimize processes, protect the environment, or improve safety using their advanced analytics/data science background.

Develops and maintains Best Practices, or other documentation to enhance company profitability, safety and productivity in the advanced analytics/data science area.

Examines the business problem and identifies the required learning task (i.e. classification, clustering, regression, forecasting … etc.)

Selects appropriate Machine Learning algorithms suited for the selected learning task and condition/structure of the data. This includes but not limited to Decision Tree/Forest, Support Vector Machines, kNN, Neural Network and deep learning.

Builds and deploys predictive models using algorithms such as linear/logistic/dynamic regression to address the business needs.

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 their field of experience.

Works on or with Task Forces assigned to investigate incidents or solve specific problems using their data science/analytics background. Undertakes special assignments requiring extensive technical experience and discretion when dealing with outside organizations.

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

• Provides 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/her specialty.