Data Scientist

Saudi Aramco; As Sudiyah; On-site; OMR 51,000 - 92,000; Full time

Job summary

A leading global energy company is seeking a Data Scientist to join the Global Optimizer Department. This role involves developing data models and solutions for optimizing decision-making processes. Candidates should have at least 10 years of experience, including machine learning expertise and strong programming skills in Python and SQL. The position requires excellent communication and problem-solving abilities for collaboration in a complex environment. The work location will be specified in the job offer and the work schedule is full-time.

Qualifications

• Minimum 10 years' experience in data analytics, machine learning, or quantitative modeling.
• 5 years' experience in enterprise-level AI applications.
• Strong programming skills in Python and SQL.
• 5+ years in enterprise AI/ML deployment
• Strong programming in Python and SQL
• Experience with data pipelines and modern data engineering tools
• Proven track record in industrial/energy sector analytics implementations
• Cloud platform experience across major providers
• Knowledge of optimization methods and OR is a plus

Responsibilities

• Develop and implement advanced data models for optimization decision-making.
• Automate data pipelines for high-quality inputs.
• Build predictive analytics tools to improve optimization throughput.
• Collaborate with teams to translate business requirements into digital solutions.
• Perform statistical and sensitivity analyses to identify optimization levers
• Collaborate with cross-functional teams to deliver scalable digital solutions
• Ensure alignment with data standards, cybersecurity, and IT architecture
• Document technical specifications and governance procedures
• Communicate findings to technical and non-technical stakeholders
• Maintain production-grade analytics solutions in industrial context

Skills

Machine Learning

Data Analysis

Python

SQL

Statistical Analysis

Communication Skills

Problem-Solving Skills

Education

Bachelor’s degree in Computer Science, Data Science, Applied Mathematics

Advanced degree preferred

Bachelor's degree in Applied Mathematics

Advanced degree preferred

Tools

Pandas

Scikit-learn

TensorFlow

PyTorch

Apache Airflow

Spark

Kafka

GCP

AWS

Azure

AWS

Azure

Job description

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 Global Optimizer Department.

The Global Optimizer Department is responsible for driving commercial optimization across Saudi Aramco’s integrated downstream value chain, which includes both domestic and international refining assets. This involves identifying and capturing optimization opportunities that enhance system netback and deliver incremental value to shareholders. The department also collaborates closely with downstream assets, Aramco Trading Company, and key stakeholders to support informed decision-making and agile responses to dynamic market conditions by leveraging advanced analytics, data modeling, and real-time market insights,

Your primary role is to develop and deploy digital solutions that enhance the iGO (intelligent Global Optimizer) platform, enabling data-driven optimization decision support. You will also design and implement advanced analytical models, automate data pipelines, and apply machine learning techniques to improve forecasting, scenario modeling, and optimization sensitivity analysis. By transforming complex data into actionable insights, you will support forward planning, simulation, and continuous learning to refine strategies and maximize the value captured across Saudi Aramco's refining and petrochemical assets.

Key Responsibilities

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

• Develop and implement advanced data models and machine learning algorithms to support optimization decision-making within the iGO platform.
• Design and automate data pipelines that integrate, cleanse, and enrich large datasets from multiple sources to ensure high-quality inputs for optimization models.
• Build and maintain predictive and prescriptive analytics tools that enhance scenario modeling, forecasting, and back casting capabilities to improve optimization throughput.
• Assess the effectiveness of existing data-driven models and continuously refine them based on feedback loops and performance metrics.
• Perform statistical analysis and sensitivity analysis to identify key optimization levers and prioritize high-impact opportunities across refining and petrochemical assets.
• Collaborate with cross-functional teams to translate complex business requirements into scalable digital solutions that support agile and responsive optimization.
• Ensure that all digital solutions align with enterprise data standards, cybersecurity protocols, and overall IT architecture.
• Document technical specifications and maintain version-controlled repositories to support continuous development and model governance.
• You will hold a Bachelor’s degree in Computer Science, Data Science, Applied Mathematics, or a related field from a recognized and approved program. An advanced degree is preferred.
• You will have at least 10 years’ experience in data analytics, machine learning, or quantitative modeling, including at least 5 years in developing enterprise-level AI and machine learning applications.
• You must have strong programming skills in Python, SQL, and experience with data science libraries and frameworks such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
• You will have the ability to design and manage data pipelines using modern data engineering tools such as Apache Airflow, Spark, or Kafka.
• You will be able to demonstrate a proven track record in deploying analytics solutions in an industrial or energy sector environment.
• You will have strong analytical and problem-solving skills, with the ability to work with cross-functional teams in a dynamic and complex environment.
• You will have excellent communication and interpersonal skills to effectively present findings and technical concepts to both technical and non-technical stakeholders.
• You will also have a solid understanding of cloud platforms such as GCP, Cloudera, Databricks, Palantir Foundry, AWS or Azure, with experience in deploying and managing models in production environments.
• Knowledge of optimization techniques, linear programming, or operations research is preferred.

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 Post Duration

Job posting end date: 12/30/2026

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.