Online Machine Learning Jobs in Spring, TX (NOW HIRING)

Job Summary:
Expand Energy is a dynamic company focused on discovering and developing unconventional oil and natural gas assets. They are seeking a Data Scientist to lead the development of analytical models and frameworks that support trading decisions in the energy sector, utilizing advanced techniques such as machine learning and statistical analysis.
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
Qualifications:
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 is North America’s largest natural gas producer, powered by dedicated and innovative employees focused on expanding the value of natural gas by connecting scale to growing markets. Founded in , the company is headquartered in , , with a team of 1001-5000 employees. The company is currently Late Stage.