Data Scientist, Commercial Analytics

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.

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.
• 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.

Responsibilities

• 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 (pricing, marketing, supply chain, trading), 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.

Qualifications

• 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 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.

Benefits

• Pension Plan: Enrollment is automatic and at no cost. The basic benefit is a monthly annuity paid for life in retirement.
• Savings Plan: Contribute 6%–20% of pay; the company matches 7% if you contribute at least 6%.
• Workplace Flexibility: Programs like “Flex your Day” for ad-hoc flexibility, plus leaves of absence and part-time options.
• Comprehensive medical, dental, and vision plans.
• Culture of Health: Programs and resources to support wellbeing.
• Employee Health Advisory Program: Confidential professional counseling for you and your family at no cost.
• Disability Plan: Income replacement for illness or injury (on or off the job); enrollment is automatic and at no cost.

More information on benefits can be found at www.exxonmobilfamily.com. Benefits may change without notice, subject to applicable law.