Title:  Data Scientist

Overview

We are seeking a Mechanical Engineer to join Jazan Refinery Maintenance Dept. (JZRMD) as a Sr. Maintenance Engineer.

Jazan Refinery Maintenance Department is responsible for ensuring the safe, reliable, and efficient operation of all refinery assets, including process units, utility systems, and critical infrastructure. The department oversees preventive, predictive, and corrective maintenance activities, utilizing advanced technologies and work management practices to maximize equipment uptime and minimize unplanned downtime. The team supports major turnarounds, manages contractor activities, and collaborates closely with inspection, corrosion, and engineering groups to maintain asset integrity. With a strong focus on safety, innovation, and operational excellence, the department plays a key role in sustaining the refinery’s production of high-quality fuels and petrochemicals, supporting both domestic needs and international markets.

The primary role is to ensure the safe, reliable, and efficient operation of all mechanical equipment and systems within the refinery. This includes developing and implementing preventive and predictive maintenance strategies, conducting root cause analysis on equipment failures, and supporting turnaround activities to minimize downtime. The Maintenance Engineer collaborates with cross-functional teams to optimize asset performance, ensures compliance with technical standards and safety protocols, and leverages advanced diagnostic tools to monitor equipment health. By integrating engineering best practices and continuous improvement initiatives, the role contributes directly to maintaining asset integrity, operational readiness, and long-term reliability of refinery operations.

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.

Minimum Requirements

• 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 start date: 1/14/2026

Job posting end date: 12/30/2026