Operations Research Engineer

Operations Research Engineer

 

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.

What role you will play in our 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 you will 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

Skills and Qualifications

 

• Master’s degree or Ph. D. preferred in Industrial Engineering or Operations Research or Applied Mathematics or relevant Engineering field with specialization in Operations Research methods (mathematical optimization and/or stochastic simulation)
• Strong analytical skills with 3+ years’ experience in applying operations research modeling methods for large-scale problems to obtain commercial-grade quality solutions
• Ability to translate general requirements and long-term deadlines into shorter-term work tasks, self-direct work, and monitor progress
• Ability to solicit inputs from subject matter experts (SMEs) across technical and business domains and engage with cross-functional teams to drive results
• Ability to view complex subjects from both high-level and detailed perspectives, and communicate appropriately with different audiences
• 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.
• 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

 

An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: 

 

• Competitive compensation 
• Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits 
• Retirement benefits 
• Global networking & cross-functional opportunities
• Annual vacations & holidays
• Day care assistance program
• Training and development program
• Tuition assistance program
• Workplace flexibility policy
• Relocation program
• Transportation facility

 

Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines.

Stay connected with us

 

• Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India.
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EEO Statement

 

ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.

Business solicitation and recruiting scams

 

ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil.

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. 

 

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Experience Level

Mid Level