Downstream Data Scientist: ML for Industrial Optimization

Saudi Aramco; As Sudiyah; On-site; OMR 12,000 - 18,000; Full time

Job summary

Saudi Aramco is seeking a Data Scientist Specialist for the Downstream Transformation & Business Excellence Department (DST&BED). The role focuses on designing, developing, and operationalizing advanced machine learning models to optimize downstream operations, predictive maintenance, and performance enhancements.

You will work with complex datasets, apply advanced statistical and AI techniques, and ensure models deliver measurable value across operational areas.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.

Responsibilities

• 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 deep learning, time-series modelling, anomaly detection, and optimization algorithms.
• Validate, test, and refine models for accuracy and reliability.
• Prepare technical documentation and present analytical results to stakeholders.
• Support integration of models into digital platforms and operational systems.
• Evaluate emerging data science methods to improve model performance.
• Collaborate with engineers, analysts, and solution architects to translate challenges into data-driven solutions.

Skills

Python or similar programming

Machine learning

Statistical modelling

Data engineering techniques

Model deployment in production

Education

Bachelor's degree in CS/DS/Engineering/Math

Tools

Cloud platforms

Databases

Visualization tools

Job description

Saudi Aramco is seeking a Data Scientist Specialist for the Downstream Transformation & Business Excellence Department (DST&BED). The role focuses on designing, developing, and operationalizing advanced machine learning models to optimize downstream operations, predictive maintenance, and performance enhancements.

You will work with complex datasets, apply advanced statistical and AI techniques, and ensure models deliver measurable value across operational areas.