Job Details

Data Scientist - Energy Trading

Date: Apr 7, 2026

Location: Spring, TX, US, 77389

Company: Expand Energy

Our core values Stewardship, Character, Collaborate, Learn, Disrupt are the lens through which we evaluate every business decision. As a dynamic, growing company that offers extremely competitive compensation and benefits, our employees are our most valued assets and the foundation of Expands performance among our E&P competitors. We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. We realize that, historically, underrepresented groups feel the need to be 100% qualified in order to apply. If you meet any combination of our requirements, we encourage you to apply. We strive to hire people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger.

Job Summary

This isn't about maintaining existing systems - you'll be architecting the analytical foundation that spots major market shifts or dislocations and drives real commercial value. You'll lead the development of sophisticated models and analytical frameworks across natural gas, LNG, power, and related commodities while shaping the data strategy that supports critical trading decisions. The role combines hands-on advanced modeling with strategic thinking about data acquisition and architecture, with the autonomy to steer the ship and move quickly as both you and the business scale up. Reporting structure within Fundamental & Quantitative Analytics team will be determined based on team composition and individual experience levels.

Job Duties & Responsibilities

• Lead end-to-end advanced modeling initiatives from identifying data needs and acquisition strategies (vendor sources, web scraping, internal systems, unstructured data) through to deployment of production models
• Develop and implement sophisticated analytical techniques including machine learning, time series forecasting, optimization models, and statistical analysis to address critical business themes with speed and accuracy
• Serve as the technical visionary for applying novel analytical techniques and emerging technologies including machine learning, artificial intelligence, and large language models to energy commodity challenges
• Collaborate closely with the Lead Data Engineer to develop integrated data strategy that supports both current analytical needs and cutting-edge technological applications
• Collaborate closely with data engineers and analysts to translate complex business requirements into technical data solutions, ensuring seamless integration from data acquisition to model deployment
• Drive rapid response capabilities for market analysis, developing models and insights that can quickly adapt to changing market conditions and emerging opportunities
• Build and maintain advanced analytical outputs including predictive models, risk assessment tools, optimization algorithms, and real-time monitoring systems
• Automate and streamline analytic processes and products
• Establish best practices for modeling processes (e.g. technical documentation, code review, version control, etc.)
• Partner with the Director and analytics team members, traders, and commercial stakeholders to identify high-impact analytical opportunities and translate findings into actionable business intelligence
• Contribute to establishing best practices for model development, validation, and deployment while mentoring junior team members on advanced analytical techniques

Job Specific Skills

Strong background in machine learning, statistical modeling, optimization, and time series analysis with proven ability to apply these techniques to real-world business problems. Proficiency with advanced analytical tools including Python/R, SQL, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and cloud computing platforms. Experience with diverse data acquisition and integration methods including APIs, web scraping; database management, schema development, and application of metadata layers; and working with both structured and unstructured data sources. Strong understanding of data architecture principles and ability to contribute to strategic decisions about data storage, processing, and modeling infrastructure, including cloud compute solutions (Snowflake experience preferred but not required). Energy commodity market knowledge or demonstrated ability to quickly develop deep domain expertise in complex technical markets. Excellent communication skills with ability to translate complex analytical concepts into clear business insights for both technical and non-technical stakeholders.

Education

Minimum: High school diploma or GED Preferred: Bachelor's degree - from accredited university - Mathematics, Statistics, Analytics, Engineer, Computer Science, or related field Preferred: Master's degree - from accredited university

Experience

Minimum: 2 - 5 years related work experience Prior or current data science, quantitative analysis, or related technical roles with demonstrated expertise in advanced modeling techniques

Additional Qualifications

Natural Gas Market Experience: Experience with natural gas market fundamentals including basis trading, pipeline systems, storage dynamics, and location-specific pricing datasets. Candidates from adjacent markets (power, crude oil, financial commodities) with strong analytical aptitude will be considered Energy Trading Background: Experience at energy trading firms, commodity companies, or related commercial energy organizations with understanding of market dynamics and trading applications Advanced Technical Skills: Experience with optimization software (Gurobi, CPLEX), advanced time series methods, or specialized domain modeling techniques Data Strategy Experience: Track record of contributing to or leading data architecture decisions, platform selection, or analytical infrastructure development Cross-Functional Leadership: Experience working across technical and business teams to drive analytical initiatives from conception to implementation Real-Time Analytics: Experience developing models and systems that support time-sensitive business decisions or trading applications Emerging Technologies: Experience with or strong interest in applying novel technologies including large language models, advanced AI techniques, or cutting-edge analytical methods to business applications

Expand Energy takes necessary action to ensure that all applicants are treated without regard to their race, color, religion, sex, sexual orientation, age, gender identity, national origin, genetic information, disability, pregnancy, military or veteran status or any other protected characteristic as established by law. Expand Energy Corporation's operations are focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets onshore in the United States.