About Us
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we can work together.

ExxonMobil in Malaysia

ExxonMobil is one of the world's largest publicly traded energy providers and chemical manufacturers, ExxonMobil develops and applies next-generation technologies to help safely and responsibly meet the world's growing needs for energy and high-quality chemical products.

In Malaysia, we are involved in significant oil and gas production operations and the marketing of chemical products. We also host a global business and technology center in Kuala Lumpur that provides high-level information technology and engineering expertise to ExxonMobil's upstream, downstream and chemical businesses worldwide.

We are seeking key players to tackle and lead challenging commercial problems in supply demand, commercial, pricing, marketing, sales, transportation, storage, and distribution of hydrocarbons. The ideal candidate will understand both the commercial/economic and technical aspects of the oil and gas sector and will be able to formulate and solve oil and gas industry problems using machine learning, time series forecasting, statistical analysis, and programming skills.

What Role You Will Play In The Team

You will be part of our exciting and rapidly expanding Kuala Lumpur Modeling, Optimization & Data Science team working and collaborating on a global scale providing deep technical insights and support to ExxonMobil's Product Solution Business and supply chain/commercial activities
As a key member of the team, you will collaborate with data scientists, data analysts, software developers, and business representatives from chemical, lubricants, and fuels value chains globally to develop, deliver, and apply data-driven tools, models, or software to support our businesses.
You will be part of the team utilizing machine learning, time series analysis, pattern recognition, statistical analysis, design of experiments, and data visualizations, along with domain knowledge, to solve commercial problems and provide business insights.
Position is based in Kuala Lumpur and not limited to Malaysian.

What You Will Do

Demonstrate industry leadership at conferences or via publications/patents (when applicable)
Develop level of expertise in specific technical discipline to be recognized as future leading global expert
Supports discovery, development and deployment activities for the focused technology area consistent with the Technology Portfolio strategic vision and business partner goals
Proactively engages with Principal Engineers to deploy (implement) technology within their specific technical discipline, consistent with site needs / opportunities
Develop, deploy and act as the single point of contact for specific data science problems across multiple domains, technology support, uptake and value generation.
Develop and evaluate new models using Timeseries forecasting techniques using python and/or integrating 3rd party tools with EM data/platforms
Support development and execution of AI strategy consistent with the overall discipline vision and ensure alignment with business objectives
Assist in developing and delivering technical training content
Understand technology sustainment workflow and enhancements requests and develop new model/features and testing plan.

About You
Skills and Qualifications

PhD degree in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 3.5 (out of 4.0).
At least 3 years of experiences of specialization in time series forecasting, in either research with publications, academics or industrial collaboration related to forecasting use cases
Experience in developing, applying, and validating data-driven tools to model complex systems.
Knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods).
Conceptual and mathematical understanding of algorithms, models, model assessment techniques, solution development and explainable AI.
Proficiency in Python, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch.
Familiarity with software testing and development practices (Agile).

Nice to have

Supply chain, trading or commercial experience encompassing pricing, demand forecasting, and end-to-end value chain optimization are preferred.
Prior experience in software development or working in software teams.
Strong communication and interpersonal skills, with the ability to work collaboratively in a global team environment.
Excellent problem-solving skills and attention to detail.

Your Benefits:

We are committed to providing benefits that are competitive and support the needs of our employees.

Application Process

Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process here.

For more information about business solicitation and recruiting scams, please click here.

We thank you for your interest in ExxonMobil.

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Equal Opportunity Employer

ExxonMobil is an Equal Opportunity Employer. All qualified applicants will be duly considered for employment.

Winner of Malaysia's 100 Leading Graduate Employers Award in the Energy/Oil and Gas/Utilities category
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Data Scientist - Time Series Forecasting