Data Scientist

Exxon Mobil; Kuala Lumpur; On-site; MYR 100,000 - 150,000; Full time

Job summary

Exxon Mobil in Kuala Lumpur is looking for a data scientist to join our expanding team. This position focuses on using data science to support Product Solution Business and enhance supply chain activities. Candidates need a Master's or PhD in a relevant field and at least 3 years of experience in applying data-driven models.

Ideal candidates will possess strong proficiency in Python and machine learning techniques. We offer a collaborative work environment where your insights will contribute to innovative solutions in the energy sector.

Qualifications

• Master’s or PhD degree in Data Science with a minimum GPA of 3.5.
• At least 3 years of experience in developing data-driven tools.
• In-depth knowledge of statistical analysis and machine learning techniques.

Responsibilities

• Develop and deploy data science solutions in the Maintenance domain.
• Support the Principal Engineer in technology area strategy development.
• Engage with Principal Engineers to implement technology solutions.

Skills

Statistical analysis techniques

Machine learning techniques

Python

Data visualization tools

Familiarity with software testing

Education

Master’s or PhD in Data Science, Computer Science, IT, or related disciplines

Tools

NumPy

pandas

scikit-learn

Keras

TensorFlow

PyTorch

Job description

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Kuala Lumpur, Federal Territory of Kuala Lumpur, MY, 50088

Company: ExxonMobil Business Support Centre Malaysia Sdn Bh

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

In Malaysia, we host a global business and technology center in Kuala Lumpur that provides high‑level information technology and engineering expertise to ExxonMobil’s Upstream, Product Solutions and Low Carbon Solutions businesses worldwide. In the upstream, we have interests in two Production Sharing Contracts with PETRONAS, while in the Product Solutions business, we supply a portfolio of specialty chemical products to the marketplace.

What role you will play in the team

• You will be part of our exciting and rapidly expanding Kuala Lumpur MODS 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 and depending on your level of experience, you will be the single point of contact to improve business performances, or actively developing new models for integration and supporting our business lines in Product Solutions.
• Position is based in Kuala Lumpur and not limited to Malaysian

What you will do

• Develop, deploy and act as the single point of contact for specific data science problems within Maintenance domain, technology support, uptake and value generation.
• Develop and evaluate new models using Timeseries modeling/NLP/Computer vision using python and/or integrating 3rd party tools with EM data/platforms
• Support Principal Engineer in development and execution of their technology area strategy consistent with the overall discipline vision and ensures alignment with business objectives
• Assist in developing and delivering technical training content
• Understand maintenance workflow and enhancements requests and develop new model/features and testing plan.
• 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

About you

Skills and Qualifications

• Master’s, or 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 experience in developing, applying, and validating data‑driven tools to model complex systems.
• In‑depth 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).
• Practical experience in the full machine learning lifecycle, from problem formulation and data acquisition to model building and deployment at enterprise scale.
• Deep conceptual and mathematical understanding of algorithms, models, model assessment techniques, solution development and explainable AI.
• Extensive knowledge and experience in code design, testing, and ML Ops practices.
• Specialization in at least one sub‑domain, such as time series forecasting, Bayesian skills or NLP‑GenAI.
• Proficiency in Python, including packages such as NumPy, pandas, scikit‑learn, Keras, TensorFlow, and PyTorch.
• Experience with software engineering practices, agile methodologies, DevOps, and version control.
• Experience working with Azure Databricks or other data science frameworks.
• Familiarity with software testing and development practices (Agile).
• Experience with data visualization tools (e.g., Tableau, Power BI).

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.
• Ability to identify and scope data science opportunities based on business needs.
• Strong communication and interpersonal skills, with the ability to work collaboratively in a global team environment.
• Excellent problem‑solving skills and attention to detail.

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

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