Description

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.

Overview

We are seeking a data scientist to join our Digital Transformation (DT) area within Saudi Aramco. DT is responsible for providing AI-powered solutions to various business functions within Aramco. The solutions leverage the latest technological advancements of Artificial Intelligence (AI) and analytics to create business values across the value chain. The DT AI&A organization will be a center of excellence in Saudi Aramco for Artificial Intelligence technologies and data science.

The data scientist primary role is to work closely with business functions, stakeholders, functional teams to give consultations on AI use case, identify potential value from data, formulate AI and data science ideas and conceptualize them. In addition, to building, evaluating and productionalizing models as appropriate.

Duties & Responsibilities
- 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 A/B 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.