Downstream Data Scientist

Job description

We are one of the world's largest producers of hydrocarbon energy and chemicals, with the lowest upstream carbon intensity of any major producer. Through our significant investments in technology and infrastructure, we strive to maximize the value of the energy we produce to the world and are committed to enhancing the employer’s value to society. Headquartered in Saudi Arabia, with offices around the world, we combine market discipline with a generational outlook, stemming from our nine decades of experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has led us to deliver significant societal and economic benefits not only to the Kingdom, but also to a large number of communities, economies and countries that depend on the vital and reliable energy we provide. We are one of the most profitable companies in the world, as well as among the five largest global companies by market capitalization. Overview We are looking for a Data Scientist specialist for our Definitive Transformation & Business Excellence (DST & BED) department. DST&BED empowers downstream administrative 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-wide digital programs. Your primary role is to design, develop and operate advanced machine learning models that support downstream optimization, predictive maintenance and performance optimization. Six Working with complex data sets, you will apply advanced statistical and AI techniques, ensuring that models deliver measurable value across operational areas. Key Responsibilities As the successful candidate, you will be required to implement the following: • Develop machine learning, statistical and predictive models for end-to-end operational use cases. • Assess data quality, perform data cleaning, and prepare datasets for model development. • Explore advanced analytical techniques such as deep learning, time series modeling, anomaly detection, and optimization algorithms. • Validate, test and improve models to ensure accuracy, reliability and stability. • Prepare technical documentation and present analytical results to stakeholders. • Support the integration of models into digital platforms and operating systems. • Evaluate emerging data science methods and recommend approaches that improve model performance. • Collaborate with engineers, analysts and solution architects to translate process challenges into data-driven 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 accredited program. • You will have 15 years of experience in data science or advanced analytics, including at least 10 years working in industrial analytics or digital solutions. • You will have strong knowledge of machine learning, statistical modeling, and data engineering techniques. • Must have proven experience developing models and deploying them in production environments. • You will be able to demonstrate your competence In Python or similar programming languages. • Experience with cloud platforms, databases, and visualization tools preferred. • You will have the ability to translate complex data concepts into business insights. Work Location and Work Schedule Work Location: Within the Kingdom of Saudi Arabia - to be specified in the job offer Work Schedule: Full Time - to be specified in the job offer Job Posting Duration Job Posting Start Date: 09/15/2026 Functional Work Environment Our high-performing employees are attracted to the challenging and rewarding professional, technical and industry opportunities we offer, and are rewarded accordingly. At the employer, our people work on world-class projects, supported by unparalleled investment in capital and technology. Because, as GL Opal Energy, we face some of the world's greatest 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

Requirements

• resource description framework query language
• data mining
• manage data collection systems
• query languages
• build recommender systems
• visual presentation techniques

Skills