Grid Market Forecasting & Bid Optimization Analyst

Customized Energy Solutions; Philadelphia (Philadelphia County); On-site; USD 90,000 - 130,000; Full time

Job summary

Customized Energy Solutions seeks a Data Analyst to own GridBOOST forecasting and optimization, driving bid strategies in day-ahead, intraday, and ancillary markets. You will build optimization engines translating market rules into mathematics and develop ML models forecasting short-term prices to inform actions.

You will work in a cross-functional team with software engineers and market operations specialists, deploying production models and contributing to live decision-making.

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 frameworks.
• 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.

Responsibilities

• Design and implement optimization models to optimize energy bids across day-ahead and real-time electricity markets.
• Translate electricity market rules, operational constraints, and grid conditions into mathematical formulations for the GridBOOST bid optimization engine.
• Build and maintain machine learning pipelines for short-term electricity price forecasting, covering day-ahead, intraday, and ancillary service markets.
• Engineer features from weather, demand, generation mix, and historical market signals to improve forecast accuracy.
• Collaborate with software engineers to integrate models into production systems connected to real-time market data feeds.
• Monitor live model performance, conduct systematic backtesting, and iterate on bid strategies and forecast models based on observed outcomes.
• Analyse post-dispatch results and produce clear, actionable insights for trading and grid operations teams.
• Track changes in regulatory frameworks, market mechanisms, and grid infrastructure that may affect model assumptions or bid strategies.
• Document model logic, assumptions, and limitations to support auditability and knowledge transfer.

Skills

Optimization modeling

Python

Time-series forecasting

Machine learning

SQL

Pandas

scikit-learn

Education

Bachelor's or Master's in Operations Research/Applied Mathematics/Electrical Engineering/Data Science

Tools

Gurobi

HiGHS

Pyomo

Job description

Customized Energy Solutions seeks a Data Analyst to own GridBOOST forecasting and optimization, driving bid strategies in day-ahead, intraday, and ancillary markets. You will build optimization engines translating market rules into mathematics and develop ML models forecasting short-term prices to inform actions.

You will work in a cross-functional team with software engineers and market operations specialists, deploying production models and contributing to live decision-making.