Saudi Aramco is seeking for an experienced Computer Scientist for a senior PE System Analyst position to join their Exploration and Petroleum Engineering Advanced Research Center (EXPEC ARC). We are looking for professionals with experience in the petroleum industry to conduct upstream research and apply data science and software engineering skills to optimize hydrocarbon recovery from oil and gas reservoirs and deploy digital solutions within the Production Technology Division.

The position offers the opportunity to contribute in leading edge technology development to increase recovery, improve operational efficiency and reduce cost. Successful candidate will work with petroleum engineers to transform large datasets into actionable insights. This role offers the opportunity to directly impact asset production and profitability by developing digital solutions, machine learning models, and data visualization tools.

Key Responsibilities

You will be required to perform the following:

• Engage in multi-disciplinary teams to identify well stimulation challenges and provide solutions to fill the technology gaps. Initiate technology development proposals.

  • Lead design and development of ML models for oil production applications (i.e. forecasting and optimization). Direct deployment of digital oilfield solutions and integration initiatives.

  • Architect data pipelines, analytics dashboards, and visualization tools.

  • Manage and mentor junior data scientists and engineers on the team.

  • Collaborate cross-functionally with other departments in Petroleum Engineering & Development to identify and prioritize optimization opportunities.

  • Continuously monitor systems health and lead efforts to enhance performance.

  • Clearly communicate complex analyses and recommendations to executives.

  • Remain updated on latest advancements in data science and oil & gas digitalization

• Install and trial test new digital technologies developed in-house or through third-party service providers.

• Implement full-scale deployment of high-impact technologies.

• Write and publish technical papers and patent applications.

• Prepare and present technical talks to highly technical audience.

• Participate in technical societies and groups.

Minimum Requirements

As a successful candidate, you must

• Hold a master degree in Computer Science or similar technical discipline. PhD degree is a plus.

  • Have a minimum of 5-10 years of related experience working in the oil and gas industry and in data science, machine learning, or relevant software engineering.

  • Expertise building production forecasting models and optimization algorithms.

  • Proficiency with programming/Python, SQL, cloud computing, app deployment, and petroleum engineering domain knowledge.

  • Strong communication, presentation, and storytelling abilities to translate data into insights.

  • Leadership skills to drive development and adoption of new digital solutions in petroleum production.

  • The candidate should be an independent thinker to apply knowledge gained from industry and academia to generate practical solutions in upstream oil and gas production

  • Have history of technical publications and patents.