Senior Computational Engineer / Data Scientist

 

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.

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.
 

Learn more about what we do in Houston here.

What role you will play in our team

 

We are looking for an experienced, commercially-savvy data scientist/computational engineer to build models that aid our goal of decarbonizing heavy industry.  As a member of our Low Carbon Solutions Data Science & Analytics team, you will work on problems in emerging technologies such as carbon capture and storage, hydrogen, sustainable lithium extraction, or advanced biofuels. You will be a part of a dynamic business environment where priorities often change and there are few existing roadmaps, requiring you to utilize your broad set of analytical thinking, modeling, and problem-solving skills to contribute to the team’s mission.  
 

What you will do

 

• Understand business problems in the low carbon space, build models that address those needs, and provide insights to assist with the growth of the low carbon business
• Be involved in model creation from quick prototypes to writing more robust and performant code for more established models
• Be responsible for selecting the right approach for the problem at hand, whether that’s a machine learning model, an event-based simulation, or a response surface from a more complex simulator
• Serve as the “explainer” of model results, whether at a deep, technical level or by providing a high-level management summary 
• Mentor less experienced data scientists or computational engineers as needed

 

About You

 

Skills and Qualifications

 

• Degree in Engineering, Mathematics, Physics, or other quantitative science
• Demonstrated ability to solve business problems using mathematical modeling for 10+ years in a corporate or industrial setting (inclusive of any relevant PhD research), with a preferred focus in modeling energy or heavy industry processes (i.e. oil & gas, chemicals, manufacturing, etc.)
• Moderate to advanced level of Python proficiency, covering familiarity with common data science libraries, numerical libraries, and data visualization libraries.  Experience with common software development practices such as Agile project management, version control, automated testing, CI/CD, etc.
• Ability to understand a physical process and its mathematical representation (with the help of a subject matter expert) and implement it numerically in a robust and stable code 
• Ability to train, validate, a