Data Scientist, Upstream Development

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. What You Will Do Lead the design, development, and deployment of advanced AI/ML solutions for upstream oil & gas subsurface & well operations such as physics‑informed Machine Learning (ML) and production optimization. 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. Desired Skills 5+ years of direct experience delivering production AI/ML solutions. Experience applying data science to upstream oil & gas workflows, including exploration, drilling and reservoir management analyzing well logs, seismic data, and production metrics to support operational and strategic decisions. Strong foundations in statistics, probability, and algorithm design. Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit‑learn) and experience with Databricks/Spark. Familiarity with GenAI frameworks (LangChain, Promptflow) and/or optimization libraries. Experience with MLOps, model governance, and explainable AI techniques (SHAP, LIME). Excellent communication and collaboration skills. Preferred Knowledge/Skills Cloud platforms (Azure ML, Azure OpenAI, Databricks). Knowledge graphs, hybrid search/RAG, and semantic technologies. Agile development and software engineering best practices. Educational Background Recommended Master’s or PhD in Data Science, Computer Science, Engineering, Applied Math, or related field. Your Benefits 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. #J-18808-Ljbffr ExxonMobil