Cplex Optimization Jobs (NOW HIRING)

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 canwork together.
About Houston
ExxonMobil's state-of-the-art campus north of Houston serves as 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.
By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company's ability to attract, develop and retain the top talent in the industry.
The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston.
The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world's top academic, research, and corporate facilities.
What role you will play in our team
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. In this role, you will act as a trusted subject-matter expert in mathematical optimization, developing innovative algorithms, experimenting with novel solution approaches, and transforming complex business challenges into high-value optimization 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.

About you
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), 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 ability to communicate 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.

Preferred Knowledge/Skills/Experience:

• 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 business is preferred.
• Experience in 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 business outcomes.

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:

• Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life
• Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match
• Workplace Flexibility: We have several programs such as "Flex your Day", providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work
• Comprehensive medical, dental, and vision plans.
• Culture of Health: Programs and resources to support your wellbeing
• Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you
• Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you

More information on our Company's benefits can be found at www.exxonmobilfamily.com
Please note benefits may be changed from time to time without notice, subject to applicable law.
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