Data Scientist Specialist – Saudi Arabia

About the role

We are seeking a Data Scientist Specialist to join 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.

Key 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 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.

Required profile

• Hold a Bachelor's Degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
• Have 15 years of experience in data science or advanced analytics, including at least 10 years in industrial analytics or digital solutions.
• Demonstrated Downstream and/or Oil & Gas industry experience.
• Strong knowledge of machine learning, statistical modelling, and data engineering techniques.
• Proven experience developing and deploying models into production environments.
• Proficiency in Python or similar programming languages.
• Experience with cloud platforms, databases, and visualization tools is preferred.
• Ability to translate complex data concepts into business insights.

Required skills

• Python
• Machine Learning
• Statistical Modelling
• Deep Learning
• Time‑series modelling
• Anomaly detection
• Optimization algorithms
• Data engineering techniques
• Cloud platforms
• Databases
• Visualization tools