About the job
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.
What Role Will You Play In The Team Operations Research Engineers function as internal consultants to support improved decision-making by developing models using operations research methods, such as mathematical optimization and stochastic simulation. They will work in a team environment to apply their technical skills, project management, and business domain knowledge to develop technological and analytics solutions in partnership with business units to influence and improve key business decisions.
The Operations Research Engineer is expected to work with global, cross-functional stakeholders to understand business problems (both commercially and technically), translate them into mathematical problems, and apply operations research methods to create solutions for decision support. This role will primarily work on business problems related to supply chain and commercial functions, especially for Fuels, Lubes, and Chemical products.
What Will You Do
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Participate in the scoping of business problems to apply operations research methods
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Work with key contacts to identify and translate data requirements which represent the system and constraints to be modeled
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Develop custom mathematical optimization and/or stochastic simulation models by applying the following: linear programming, mixed-integer programming, system dynamics simulation, and/or discrete event simulation
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Proactively drive cross-functional alignment across organizations (as needed) to validate model solution quality
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Create documentation to explain how the operations research methods are applied, and conduct reviews with senior technical professionals to ensure technical quality
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Ensure effective and efficient pace of work by managing project timelines, coordinating project team members, and providing timely updates to stakeholders
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Work effectively within cross-functional, global teams (including business domain experts, product owners, decision science engineers, and IT) to design, develop, deploy, and sustain operations research-based solutions that are scalable and with commercial-grade quality
About You Skills and Qualifications
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Master’s degree preferred in Industrial Engineering or Applied Mathematics (or relevant field)
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Ability to translate general requirements and long-term deadlines into shorter-term work tasks, self-direct work, and monitor progress
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Solicits inputs from subject matter experts (SMEs) and engages with cross-functional teams to drive results
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Strong analytical skills with 5+ years’ experience in applying operations research modeling methods (mathematical optimization and/or stochastic simulation) for commercial-grade quality solutions
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Competent in developing mathematical optimization models using mathematical modeling languages such as AIMMS, GAMS, AMPL, Pyomo, Gurobipy, etc.
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Competent in developing system dynamics simulation models using software such as Stella Architect, VenSim, AnyLogic, etc.
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Curious mindset in understanding business problems and their related factors to develop solutions
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Ability to view complex subjects from both high-level and detailed perspectives, and communicate appropriately with different audiences
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Familiarity with Python, especially for developing and deploying operations research solutions
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Experience with source code version control (Git)
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Strong written and verbal communication skills