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.

SKILLS AND QUALIFICATIONS

• Education: Ph.D. in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related discipline.

• Experience: Minimum of 7 years of experience in designing and deploying mathematical optimization models, with demonstrated leadership in driving business impact.

• Technical Skills:

  Expertise in linear, mixed-integer programming, optimization under uncertainty (stochastic/robust optimization), algorithm development including decomposition for large-scale optimization.
  Strong programming skills in Python or similar languages, with experience using solvers like Gurobi/CPLEX.
  Understanding of cloud-based architecture solutions for large-scale optimization.

PREFERRED KNOWLEDGE / SKILLS / ABILITIES

• Strong communication skills with ability to communicate technical details to non-technical managers

• Strong strategic mindset with the ability to drive large-scale initiatives.

• Demonstrated capability in mentoring and technical leadership.
• Proven ability to influence and engage with cross-functional teams and leadership.

EXXONMOBIL IS AN EQUAL OPPORTUNITY EMPLOYER. ALL QUALIFIED APPLICANTS WILL RECEIVE CONSIDERATION FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION, SEX, AGE, SEXUAL ORIENTATION, GENDER IDENTITY, NATIONAL ORIGIN, CITIZENSHIP STATUS, PROTECTED VETERAN STATUS, GENETIC INFORMATION, OR PHYSICAL OR MENTAL DISABILITY.

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

WHAT ROLE YOU WILL PLAY IN OUR TEAM

As a Senior Optimization Scientist, you will combine deep technical expertise with business acumen to develop, deploy, and scale advanced optimization solutions across organizations like supply chain, commercial, and trading. You will serve as a subject matter expert in mathematical optimization, and provide leadership in decision-making, guide technological development, and drive innovation to maximize business value. You will help set the technical direction for optimization initiatives, mentor team members, and lead the integration of optimization solutions into business decision workflows.
Come be part of the team, with opportunities at our Spring, Texas locations.

WHAT YOU WILL DO

• Design and implement scalable mathematical optimization models to address complex business challenges.

• Partner with stakeholders to identify high-impact opportunities and align solutions with business objectives.

• Provide technical leadership for optimization projects, ensuring best practices in model development and deployment.
• Lead the integration of optimization technologies into broader systems, collaborating with engineering and IT teams.
• Drive innovation by exploring and applying state-of-the-art optimization techniques and tools.
• Serve as a mentor and technical resource for team members, promoting skill development and best practices.
• Represent the organization in external technical forums, contributing to the company’s reputation as an industry leader.