Downstream Data Scientist (Relocation required to Saudi Arabia)
aramco · Gurgaon
- Experience15–16 yrs
- SalaryNot disclosed
- Work modeonsite
- Posted22 Sept 2026
About aramco
aramco is hiring in Gurgaon in energy utilities. This role looks for around 15+ years of experience.
Skills
- machine learning
- statistical modelling
- data engineering
- Python
- deep learning
- time-series modelling
- anomaly detection
- optimization algorithms
The role
A data scientist at an energy company develops machine learning for industrial analytics and builds predictive models for operational systems. The role applies statistical modelling, data engineering, Python, deep learning, and time-series modelling to improve reliability and decision-making.
Full job description
Note : This position is based out in Saudi Arabia and requires relocation and only relevant and shortlisted candidates will be contacted.
OverviewWe 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 ResponsibilitiesAs the successful candidate you will be required to perform the following: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 into datadriven solutions.
Minimum RequirementsYou 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.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.
Work Location and Work ScheduleWork location: Within Saudi Arabia – To be specified in Job offerWork schedule: Full Time - To be specified in Job offer
Working environmentOur high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest 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.