Senior Commercial Data Scientist

Exxon Mobil; San Antonio (TX); On-site; USD 100,000 - 140,000; Full time

Job summary

A leading company in the energy sector seeks a data scientist to solve commercial challenges in pricing and distribution of hydrocarbons. The role demands expertise in machine learning and statistical analysis, collaborating with global teams to deliver data-driven solutions. Successful candidates will have robust programming skills and a background in applied mathematics or related fields.

Benefits

Pension Plan

Savings Plan with Company Match

Comprehensive Medical, Dental, and Vision Plans

Workplace Flexibility Programs

Employee Health Advisory Program

Disability Plan

Qualifications

• At least 5 years in developing data-driven tools for complex systems.
• In-depth knowledge in statistical analysis and machine learning techniques.
• Experience with ML Ops practices and software engineering.

Responsibilities

• Collaborate to develop data-driven tools and models for business applications.
• Tackle commercial problems in pricing, marketing, and distribution of hydrocarbons.
• Formulate and solve industry problems using machine learning and statistical analysis.

Skills

Machine Learning

Statistical Analysis

Programming

Data Visualization

Education

Master’s or PhD in Data Science, Computer Science, IT, Applied Mathematics

Tools

Python

Azure Databricks

Tableau

Power BI

Job description

Press Tab to Move to Skip to Content Link

Select how often (in days) to receive an alert:

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 canwork together .

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 Houstonhere .

What role you will play in our team

We are seeking candidates to tackle and lead challenging commercial problems in pricing, marketing, sales, transportation, storage, and distribution of hydrocarbons. The ideal candidate will understand both the commercial/economic and technical aspects of the oil and gas sector and will be able to formulate and solve oil and gas industry problems using machine learning, time series forecasting, statistical analysis, and programming skills.

What you will do

Collaborate with data scientists, data analysts, software developers, and business representatives from chemical, lubricants, and fuels value chains globally to develop, deliver, and apply data-driven tools, models, or software to support our businesses.

About You

Desired Skills:

• At least 5 years of experience in developing, applying, and validating data-driven tools to model complex systems.
• In-depth knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods).
• Practical experience in the full machine learning lifecycle, from problem formulation and data acquisition to model building and deployment at enterprise scale.
• Deep conceptual and mathematical understanding of algorithms, models, model assessment techniques, solution development and explainable AI.
• Extensive knowledge and experience in code design, testing, and ML Ops practices.
• Specialization in at least one of the following areas: time series forecasting, Bayesian skills or NLP-GenAI.
• Proficiency in Python, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch.
• Experience with software engineering practices, agile methodologies, DevOps, and version control.
• Experience working with Azure Databricks or other data science frameworks.
• Familiarity with software testing and development practices (Agile).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Demonstrated experience with model explainability techniques (e.g., SHAP, LIME, global surrogate models,Partial Dependence Plots (PDP), Individual Conditional Expectation (ICE), and counterfactual explanations).

Preferred Knowledge/Skills:

• Commercial experience encompassing pricing, demand forecasting, and end-to-end value chain optimization are preferred.
• Prior experience in commercial software development or working in commercial software teams.
• Ability to identify and scope data science opportunities based on business needs.
• Strong communication and interpersonal skills, with the ability to work collaboratively in a global team environment.
• Excellent problem-solving skills and attention to detail.
• Experience integrating predictive models with optimization frameworks to drive data-informed decision-making and prescriptive analytics.

Educational Background Recommended:

• Master’s, or PhD degree from a recognized university in Data Science, Computer Science, IT, Applied
• Mathematics, Statistics, Engineering, or related disciplines.
• Specialization (education and work experience) in data science or machine learning.

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.
  

Please note benefits may be changed from time to time without notice, subject to applicable law.

ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

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.

Job ID: 80817

Nearest Major Market: Houston
Job Segment: Sustainability, Test Engineer, Testing, Software Engineer, Computer Science, Energy, Engineering, Technology