Data Scientist Specialist
Summary
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.
JOB TO BE BASED IN KINGDOM OF SAUDI ARABIA
Overview
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