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ExxonMobil
GPCM Natural Gas Modeling Analyst
Career Insights for Data Scientist
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$104,647 / year median in Texas
+26% projected growth
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 role you will play in our team If successful, you will be an integral part of our Global Trading Analytics organization, supporting North American natural gas trading, asset optimization, portfolio strategy, and structured commercial activity. We are seeking a highly motivated analyst with deep expertise in natural gas fundamentals, quantitative modeling, and GPCM (Gas Pipeline Competition Model) to develop and enhance analytical frameworks, market models, and decision-support tools that enable informed commercial and trading decisions. In this role, you will work closely with traders, originators, structurers, quantitative analysts, and risk professionals to support growth across our natural gas business. You will leverage GPCM as a core modeling platform to evaluate market fundamentals, regional balances, pipeline flows, storage dynamics, basis relationships, and commercial opportunities. You will contribute to the development of scalable state-of-the-art analytical solutions that support portfolio optimization, trading strategy development, and commercial decision-making in a dynamic market environment. What you will do Develop, maintain, and enhance GPCM-based models supporting North American natural gas market analysis, trading, asset optimization, and commercial strategy.
Build and maintain natural gas supply and demand models incorporating production, pipeline flows, LNG exports, industrial demand, power generation demand, residential/commercial consumption, and storage dynamics.
Develop regional and basin-level market balance views across key North American markets including Henry Hub, Permian, Northeast, Midcontinent, Gulf Coast, Western Canada, and other major trading hubs.
Analyze pipeline constraints, transportation capacity utilization, flow dynamics, congestion events, and basis market behavior to identify commercial and trading opportunities.
Deliver short-, medium-, and long-term market forecasts and fundamental views that support trading strategies, portfolio positioning, and risk management decisions.
Support optimization of physical and financial portfolios, including storage injection and withdrawal strategies, transportation capacity utilization, basis optimization, and contractual optionality.
Partner closely with traders, originators, and structurers to translate market fundamentals and modeling outputs into actionable commercial insights, trade ideas, and positioning recommendations.
Evaluate structured natural gas transactions, transportation agreements, storage contracts, and other commercial opportunities through quantitative and fundamental analysis.
Build and maintain Python-based analytical frameworks, data pipelines, and modeling tools that improve scalability, transparency, and efficiency of market analysis.
Conduct statistical analysis, scenario analysis, sensitivity testing, and forecasting exercises to assess market risks and opportunities.
Evaluate model performance through validation, back-testing, and continuous enhancement to improve forecast accuracy and commercial value.
Collaborate with data engineering teams, quantitative analysts, and global trading organizations to develop robust, scalable, and production-ready analytical solutions.
Produce clear and concise market commentary, presentations, and analytical reports that communicate complex market dynamics and modeling outputs to commercial stakeholders. What you bring Bachelor's, Master's, or PhD degree in Engineering, Economics, Mathematics, Statistics, Operations Research, Energy Systems, Finance, or a related quantitative discipline.
Hands-on experience utilizing GPCM (Gas Pipeline Competition Model) for North American natural gas market analysis, forecasting, and commercial decision support.
Strong understanding of North American natural gas markets, including supply and demand fundamentals, storage dynamics, pipeline operations, transportation markets, and regional basis relationships.
Experience building and maintaining market balance models, supply and demand models, flow models, forecasting frameworks, and fundamental market analysis tools.
Demonstrated ability to develop market views and translate analytical outputs into actionable commercial insights, trading recommendations, and portfolio strategies.
Strong understanding of natural gas transportation economics, storage economics, basis markets, arbitrage opportunities, and physical asset optimization.
Experience integrating and analyzing large datasets, including weather data, pipeline flow data, storage data, production data, market pricing data, and forward curve information.
Proficiency in Python and experience with quantitative analysis libraries such as pandas, NumPy, and related data science toolsets.
Strong SQL skills and experience working with large-scale datasets, data pipelines, and database environments.
Experience conducting statistical analysis, time-series analysis, scenario modeling, forecasting, and sensitivity analysis.
Ability to communicate complex quantitative and market concepts effectively to both technical and commercial stakeholders.
Demonstrated ability to work collaboratively in a fast-paced commercial and trading environment while managing multiple priorities. Preferred Qualifications Advanced degree in a quantitative, engineering, economics, or energy-related discipline.
Extensive experience applying GPCM modeling within a natural gas trading organization, energy company, consulting firm, or market analytics organization.
Experience supporting natural gas trading, marketing, origination, asset optimization, or commercial strategy functions.
Knowledge of LNG markets, power markets, renewable generation impacts, and cross-commodity market relationships.
Experience evaluating storage assets, transportation portfolios, basis optimization strategies, and structured natural gas transactions.
Familiarity with machine learning techniques, advanced forecasting methodologies, and quantitative analytics frameworks.
Experience with cloud-based analytics platforms, modern data architectures, and large-scale data processing environments.
Familiarity with software engineering best practices including version control, testing, documentation, and model deployment. 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.