Operations Research Engineer

Exxon Mobil; Kuala Lumpur; On-site; MYR 100,000 - 130,000; Full time

Benefits offered by this job

Competitive benefits supporting employee needs

Job summary

Exxon Mobil seeks an Operations Research Engineer in Kuala Lumpur to enhance decision-making through operations research methods. This role involves collaborating with global teams to tackle complex business problems particularly in supply chain and commercial functions.

The ideal candidate must have a Master’s degree and 5+ years of experience in operations research modeling, particularly with mathematical optimization and simulation methods.

Competitive benefits are included, highlighting our commitment to employee support.

Qualifications

• 5+ years of experience in applying operations research modeling methods.
• Ability to translate requirements into actionable tasks.
• Strong communication skills.

Responsibilities

• Participate in scoping business problems for operations research methods.
• Develop mathematical optimization and stochastic simulation models.
• Manage project timelines effectively.

Skills

Analytical skills in operations research modeling

Mathematical optimization expertise

Proficiency in Python

Experience with Git for version control

Education

Master’s degree in Industrial Engineering or Applied Mathematics

Tools

AIMMS

GAMS

AMPL

Stella Architect

VenSim

Job description

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

• Participate in the scoping of business problems to apply operations research methods
• Work with key contacts to identify and translate data requirements which represent the system and constraints to be modeled
• 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
• Proactively drive cross‑functional alignment across organizations (as needed) to validate model solution quality
• Create documentation to explain how the operations research methods are applied, and conduct reviews with senior technical professionals to ensure technical quality
• Ensure effective and efficient pace of work by managing project timelines, coordinating project team members, and providing timely updates to stakeholders
• 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

• Master’s degree preferred in Industrial Engineering or Applied Mathematics (or relevant field)
• Ability to translate general requirements and long‑term deadlines into shorter‑term work tasks, self‑direct work, and monitor progress
• Solicits inputs from subject matter experts (SMEs) and engages with cross‑functional teams to drive results
• Strong analytical skills with 5+ years’ experience in applying operations research modeling methods (mathematical optimization and/or stochastic simulation) for commercial‑grade quality solutions
• Competent in developing mathematical optimization models using mathematical modeling languages such as AIMMS, GAMS, AMPL, Pyomo, Gurobipy, etc.
• Competent in developing system dynamics simulation models using software such as Stella Architect, VenSim, AnyLogic, etc.
• Curious mindset in understanding business problems and their related factors to develop solutions
• Ability to view complex subjects from both high‑level and detailed perspectives, and communicate appropriately with different audiences
• Familiarity with Python, especially for developing and deploying operations research solutions
• Experience with source code version control (Git)
• Strong written and verbal communication skills

Your Benefits:

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.