Job description

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 commercial analytics including pricing, marketing, supply chain and trading. You will work end-to-end from problem framing and experimentation through production and sustainment while partnering with business stakeholders to deliver scalable, reliable, and impactful solutions. What role you will 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 commercial analytics for pricing, marketing, supply chain management or oil & gas trading. • 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 • 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 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. Stay connected with us Learn more at our website Follow us on LinkedIN and Instagram Like us on Facebook Subscribe our channel at YouTube Alternate Location: Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Requirements

Must-haves

What role you will 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.
5+ years of direct experience delivering production AI/ML solutions.
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.

Nice-to-haves

Expertise in commercial analytics for pricing, marketing, supply chain management or oil & gas trading.
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
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.

Application prep

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Keywords to mirror

aimlci/cdpythonazureagilerest

Platform: career-feeds
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision