Data Scientist Specialist at Aramco's Downstream Transformation & Business Excellence Department (job based in Saudi Arabia): builds, validates, and deploys machine learning, statistical, and predictive models for downstream oil & gas operations, using Python plus deep learning, time-series, and optimization techniques, with cloud, database, and visualization tooling.
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
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
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.
Candidates must have clearly demonstrated Downstream and/or Oil & Gas industry experience
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.
REGRET ONLY SHORTLISTED CANDIDATES WILL BE CONTACTED