Data Scientist - Relocate to Saudi Arabia, Permane...

Job description

Please note that this role is based in Saudi Arabia on a permanent, residential basis.

Job Req ID - 8192


Aramco energizes the world economy.

Aramco occupies a unique position in the global energy industry. We are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.

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’s value to society.

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’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.

We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.


We are seeking a Data Scientist to join the Digital Coordination Group (DCG) under the Vice President of Sales, Trading and Supply Planning (ST&SP) Administration Area in Dhahran, Saudi Arabia.

ST&SP’s DCG is responsible for providing support to design and deploy Advanced Analytics solutions to enhance business insights and decision making to departments within the ST&SP Administration Area through but limited to the following functions:

AI-powered solutions to various business functions within ST&SP. The solutions leverage the latest technological advancements of Artificial Intelligence (AI) and analytics to create business values across the value chain. It is also a center of excellence in Saudi Aramco for Artificial Intelligence technologies and data science.


The candidate will be required to perform the following:

  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
  • Mine and analyze data from company data sources to drive optimization and improvement of product development, and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize production facilities, revenue generation, and other targeted outcomes.
  • Develop testing mechanisms and test model quality and validate hypothesis accordingly.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop necessary documentation as per established standards.

Education & Experience Requirements

  • A successful candidate will hold a Bachelor’s degree in in data science, computer science, applied mathematics or a related field from a recognized and approved program. A Master’s degree is preferred.

The candidate will have:

  • At least 5 years of experience in building time series forecasting models.
  • A strong expertise in data collection, cleaning, preprocessing, and wrangling.
  • Strong fluency in either R or Python, preferably both, and familiarity with golang is a plus.
  • Proficiency in visualization tools and packages; and in communicating data science topics to non-technical audience is a requirement.
  • Experience in time series forecasting models and in using technologies like LSTMs, Prophet, and time series analysis is a requirement.
  • Proficiency in using sklearn pandas, numpy, plotly, seaborn, and relevant R libraries if R is their preferred language is necessary.


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Working environment

Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.

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’s biggest technical, logistical and environmental challenges, we invest heavily in talent development.

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.

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