Optimization Scientist
Listed on 2026-02-16
-
Engineering
AI Engineer
About Us
At Exxon Mobil, 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, who bring solutions every day to optimize our strategy in energy, chemicals, lubricants, and lower‑emissions technologies.
We invite you to bring your ideas to Exxon Mobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our mission and how we can work together.
Exxon Mobil’s state‑of‑the‑art campus north of Houston serves as the home to its Upstream, Product Solutions, and Low‑Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors, providing the tools and capabilities needed to accelerate discovery of new resources, technologies, and products. Located in Spring, Texas, it sits on 385 wooded acres west of Interstate Highway 45 (I‑45) at the intersection of I‑45 and the Hardy Toll Road, approximately 25 miles from downtown Houston.
The campus was constructed to the highest standards of energy efficiency and environmental stewardship, incorporating research into best practices in building and workplace design.
As an Optimization Scientist, you will apply deep technical expertise and strong business understanding to design, implement, and scale advanced optimization solutions across domains such as supply chain, commercial operations, and trading. You will act as a trusted subject‑matter expert in mathematical optimization, develop innovative algorithms, experiment with novel solution approaches, and transform complex business challenges into high‑value models.
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.
- 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.
We are looking for a candidate who is intellectually curious, collaborative, and can communicate complex technical concepts to non‑technical audiences.
Job Requirements- Ph.D. in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related discipline.
- 2+ years of experience (not including school time) in designing and deploying mathematical optimization models.
- Expertise in linear, mixed‑integer programming, optimization under uncertainty (stochastic/robust optimization), and 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.
- Strong communication skills with the ability to convey technical details to non‑technical business partners.
- Strong strategic mindset with the ability to drive large‑scale initiatives.
- Proven ability to influence and engage with cross‑functional teams and leadership.
- Proven experience in developing and deploying optimization‑based solutions.
- Recognized as an industry expert with a track record of publications or presentations in optimization and related fields.
- Business acumen in supply chain management, commercial, and trading in oil and gas or a similar industry.
- Experience applying optimization within supply chain, energy, or operational research domains.
- Knowledge of integrating optimization models with AI/ML techniques.
- Proven ability to build external networks and partnerships to drive innovation and collaboration.
- Strong focus on both technical rigor and…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).