Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,761 postings in the last year. Stated ranges, not salaries paid.
Spring, TX, US, 77389
Open 3 months, first seen by us 109 days agoDevelop and maintain GPCM-based models for North American natural gas market analysis and trading
Build supply and demand models covering production, pipeline flows, LNG exports and storage
Analyze pipeline constraints, capacity use and basis behavior to find trading opportunities
Deliver short-, medium- and long-term market forecasts for trading and risk decisions
Build and maintain Python-based analysis frameworks, data pipelines and modeling tools
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.
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.
Build and maintain Python-based analytical frameworks, data pipelines, and modeling tools that improve scalability, transparency, and efficiency of market analysis.
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 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.
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.
From the employer’s posting.
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future.
In the employer’s words · Read in context
Open 3 monthsWe first saw this posting 109 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,761 postings in the last year. Stated ranges, not salaries paid.
Day 109
Up longer than most. Similar jobs usually come down between day 7 and day 57.
At ExxonMobil, jobs usually come down by about day 55.
From 10,558 similar postings that came down, and 65 of ExxonMobil’s. Coming down is not always a hire.
22 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- 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.
- 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.
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
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.
Preferred Qualifications
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:
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.
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.
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Spring, TX, US, 77389
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