Expand Energy · 3 hours ago
Data Scientist - Energy Trading
Spring, TX
Full-time
Onsite
Mid, Senior Level
2+ years expExpand Energy is a dynamic company focused on discovering and developing unconventional oil and natural gas assets in the United States. They are seeking a Data Scientist to lead the development of advanced analytical models and frameworks that support trading decisions in energy commodities, combining hands-on modeling with strategic data architecture.
Oil & Energy
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
Qualification
Required
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
Minimum: High school diploma or GED
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
Preferred
Bachelor's degree - from accredited university - Mathematics, Statistics, Analytics, Engineer, Computer Science, or related field
Master's degree - from accredited university
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
Company
Expand Energy
Expand Energy is the nation’s largest natural gas producer, powered by dedicated and innovative employees.
1001-5000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase