Downstream Data Scientist (Relocation required to Saudi Arabia)

Note : This position is based out in Saudi Arabia and requires relocation and only relevant and shortlisted candidates will be contacted.

Overview

We are seeking a Data Scientist Specialist to our Downstream Transformation & Business Excellence Department (DST&BED).

DST&BED empowers the Downstream Admin Areas with advanced analytics, digital tools, and data-driven insights to improve reliability, optimize operations, accelerate decision-making, and enable strategic digital transformation. The organization is responsible for designing advanced analytical models, developing scalable digital solutions, and supporting enterprise-level digital programs.

Key Responsibilities

• As the successful candidate you will be required to perform the following:
• Develop machine learning, statistical, and predictive models for downstream operational use cases.
• Assess data quality, perform data cleansing, and prepare datasets for model development.
• Explore advanced analytical techniques such as deep learning, time-series modelling, anomaly detection, and optimization algorithms.
• Validate, test, and refine models to ensure accuracy, reliability, and stability.
• Prepare technical documentation and present analytical results to stakeholders.
• Support integration of models into digital platforms and operational systems.
• Evaluate emerging data science methods and recommend approaches that improve model performance. Collaborate with engineers, analysts, and solution architects to translate operational challenges into datadriven solutions.

Minimum Requirements

• You will hold a Bachelor's Degree in Computer Science, Data Science, Engineering, Mathematics, or a related field from a recognized and approved program.
• You will have 15 years of experience in data science or advanced analytics, including at least 10 years working on industrial analytics or digital solutions.
• You will have strong knowledge of machine learning, statistical modelling, and data engineering techniques.
• You must have proven experience developing and deploying models into production environments.
• You will be able to demonstrate proficiency in Python or similar programming languages.
• Experience with cloud platforms, databases, and visualization tools is preferred.
• You will have the ability to translate complex data concepts into business insights.

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

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.