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Data Analyst - Forecasting and Optimization
Location
United States
Posted
7 days ago
Salary
0
Seniority
Mid Level
Job Description
Data Analyst - Forecasting and Optimization
Customized Energy Solutions
Role Description CES GridBOOST is an advanced energy management platform that enables grid assets to participate intelligently in electricity markets. As a Data Analyst in the Forecasting and Optimization team, you will sit at the core of the product — owning the quantitative models that determine how GridBOOST bids into day-ahead, intraday, and ancillary service markets. Your work will span two tightly coupled disciplines: - Building optimization engines that translate market rules and grid constraints into optimal bid strategies. - Developing machine learning models that forecast electricity prices to inform those strategies. You will work in a cross-functional team alongside software engineers and market operations specialists, with your models running in production and directly influencing real-world market outcomes. Qualifications - Bachelor's or Master's degree in Operations Research, Applied Mathematics, Electrical Engineering, Data Science, or equivalent. - 3+ years of hands-on experience in the electricity domain — energy trading, grid operations, market analysis, or a closely related quantitative role. - Demonstrated experience formulating and solving optimization problems for real-world scheduling, dispatch, or resource allocation use cases. - Proficiency with at least one solver (Gurobi, HiGHS) and an optimization modelling library (Pyomo or similar). - Hands-on experience building and deploying ML forecasting models for time-series data, preferably electricity prices or energy load. - Strong Python skills including pandas, scikit-learn, and at least one deep learning framework. - Experience working with high-frequency time-series market data and external data APIs. - SQL proficiency for querying and extracting market and operational data. - Ability to communicate complex quantitative results clearly to non-technical stakeholders. Requirements - Solid understanding of U.S. ISO/RTO electricity markets, including their clearing mechanisms and pricing rules (Highly Preferred). - Hands-on experience building and deploying forecasting and bid optimization algorithms in the electricity markets. - Ability to work with remote and global teams across multiple time zones. Benefits - Competitive salary commensurate with experience. - Performance bonus and profit-sharing. - Medical Savings Account. - Comprehensive health insurance. - Disability and life insurance. - 401(k) matching. - Tuition reimbursement. - Meaningful responsibility and the opportunity to make a real impact in dynamic energy markets. - The chance to learn from and collaborate with experienced professionals across global teams. - Ongoing opportunities to strengthen your technical, analytical, and leadership skills. - A supportive culture that values initiative, accountability, and continuous professional growth.
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