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Data Scientist
Data ScientistAramco • Edmonton, Alberta (AB), CA
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Data Scientist

Data Scientist

Aramco • Edmonton, Alberta (AB), CA
Il y a 11 jours
Type de contrat
  • Temps plein
Description de poste

Aramco energizes the world economy.

Aramco occupies a special position in the global energy industry. We are one of the world's largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities 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 Technol Oversight Coord Business Support Division - Digitalization & Analytics Group.

The Digitalization & Analytics Group is responsible for driving business excellence by leveraging data-driven insights to optimize operations and inform strategic decision-making. As a key function within the organization, the Digitalization & Analytics Group is dedicated to advancing digitalization, seeking to enhance overall performance by digitalizing, automating and connecting various business processes, leveraging advanced technologies, and integrating AI capabilities to uncover new insights.

Your primary role is to leverage your expertise to enhance data visualization and interpretation, ensuring stakeholders and decision-makers have access to critical insights. Additionally, you will employ AI modeling and integration techniques to extract meaningful patterns and predictions from vast datasets, empowering informed decision-making and driving organizational success.

Key Responsibilities

As a successful candidate you will be required to perform the following :

  • Automate and digitalize the organization's business processes
  • Develop and deploy AI-powered tools capable of understanding natural language queries related to the business data
  • Create Dashboards (i.e. Data Visualization) using multiple platforms available in the market
  • Provide support in maintenance, customization and integration of existing dashboards, digital solutions and websites with Corporate Solutions.
  • Perform business analytical prediction modeling using existing data to support in decision making.
  • Collaborate with stakeholders to develop data-driven business cases to support strategic initiatives, investments, and resource allocation decisi ons.

Minimum Requirements

  • You will hold a Bachelor's degree in a Computer Science, Mathematics, Computing, Data Science or AI.
  • You will have a min of 5 years' experience in related field
  • You will have advanced programming proficiency in languages such as Python, SQL, PowerQuery, JavaScript.
  • Work Location and Work Schedule

    Work location : Within Saudi Arabia - To be specified in Job offer

    Work schedule : Full Time - To be specified in Job offer

    Job Posting Duration

    Job posting start date : 12 / 17 / 2025

    Job posting end date : 12 / 31 / 2026

    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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    Data Scientist • Edmonton, Alberta (AB), CA

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