Data Scientist
Posted 29 Jul 2026
Advertised as “Expert Data Scientist”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 12+ yrs
- Management level
- People management
No salary listed for this role.
Field of studyEngineering, Applied Mathematics, Geophysics, Geoscience, Computer Science, Artificial Intelligence, Data Science, Statistics (or related)
Study levelMaster's or higher
About us
At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. 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.
Job Group Capability
Data Science, Digital & Analytics
Job Group
Computational & Data Sciences
What Will You Do
As a Senior AI Scientist, you will provide technical leadership in the design, development, and deployment of transformational AI solutions that solve some of the most complex challenges across ExxonMobil’s global business. You will operate at the intersection of advanced AI research, enterprise-scale implementation, and strategic business impact.
You will collaborate with data scientists, machine learning engineers, software developers, computational experts, and business leaders across the organization to shape AI roadmaps, architect scalable solutions, and deliver measurable value through advanced analytics and AI technologies.
Key responsibilities include:
- Lead the end-to-end delivery of enterprise AI/ML solutions, from opportunity identification and technical strategy through deployment, productionization, monitoring, and continuous improvement.
- Drive the design and implementation of advanced AI systems including Generative AI, agentic AI workflows, NLP, time-series forecasting, computer vision, optimization, and commercial analytics solutions.
- Architect scalable and production-ready AI platforms leveraging MLOps best practices including CI/CD, model governance, monitoring, observability, MLflow, and automated retraining pipelines.
- Apply advanced data science, machine learning, statistical analysis, and domain expertise to solve highly complex business and engineering challenges.