Job Description

Location:

, ,

Salary:

Competitive

Type:

Permanent

Main Industry:

Other Industries & Skills:

Education & Training Utilities & Services

Advertiser:

Job ID:

129578393

Posted On:

03 December 2023

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\xe2\x80\x99s 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\xe2\x80\x99s 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\xe2\x80\x99s upstream, downstream and chemical businesses worldwide.

What you will do
-Work with computational scientists, data scientists, engineers, software developers, and geoscientists across the globe to develop, deliver and apply computational tools, models, or software to support our business
-Enhance proprietary computational models and tools to address evolving business needs
-Use machine learning, pattern recognition, deep learning, statistical analysis and data visualizations \xe2\x80\x93 along with domain knowledge and subject-specific models (E.g. physics-based) \xe2\x80\x93 to solve science, engineering, commercial problems and provide business insights
-Design, build, and execute studies using proprietary or commercial tools to provide insights including calibrating models to field data and providing field optimization recommendations

About you

Skills and Qualifications

-Master\'s degree in one of the following disciplines: Chemical Engineering, Mechanical Engineering or related disciplines
-Professional work experience in developing, applying, and analyzing physics-based models and/or data driven computational models and simulations
-At least 3 years of work experience in a data-driven modeling
-Working knowledge in one or more of the following:

-Programming skills in a scripting language like Python, R or MATLAB as well as Object oriented programming
-Machine learning/statistical learning methodologies such as regression, classification, unsupervised learning, and time series analysis

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.

Stay connect with us
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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

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

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