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 you will do

 

We are hiring multiple Data Scientists to lead the design, development, and deployment of advanced AI/ML solutions across diverse domains, including:

 

• Generative AI & NLP (LLMs, agentic workflows)
• Time Series Forecasting & Anomaly Detection
• Optimization & Prescriptive Analytics
• Commercial Analytics (pricing, marketing, supply chain)
• Subsurface & Wells (physics-informed ML, production optimization)
• Computer Vision & Document Intelligence

 

You will work end-to-end—from problem framing and experimentation through production and sustainment—partnering with engineers and business stakeholders to deliver scalable, reliable, and impactful solutions.

 

What role will you play in the team

 

• Lead end-to-end delivery of AI/ML solutions: scoping, modeling, evaluation, deployment, and monitoring.
• Collaborate with cross-functional teams to translate business problems into mathematical frameworks.
• Build solutions in one or more domains listed above, applying best practices for data quality, explainability, and governance.
• Develop GenAI applications (chatbots, copilots, multi-agent workflows) and/or time series, optimization, or commercial analytics models.
• Ensure production readiness through MLOps practices (CI/CD, MLflow, monitoring, cost optimization).
• Mentor peers and contribute to internal AI capability building.

 

About you

 

Desired Skills

 

• 5+ years of direct experience delivering production AI/ML solutions.
• Expertise in one or more of the following: NLP/GenAI, time series, optimization, commercial analytics, subsurface/wells, computer vision.
• Strong foundations in statistics, probability, and algorithm design.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn); experience with Databricks/Spark.
• Familiarity with GenAI frameworks (LangChain, Promptflow) and/or optimization libraries.
• Experience with MLOps, model governance, and explainable AI techniques (e.g., SHAP, LIME).
• Excellent communication and collaboration skills.

 

Preferred Knowledge/Skills