Energy Market Optimization Engineer

Veolia Environnement SA•Boothwyn, PA

15h•Onsite

About The Position

The Energy Market Optimization Engineer reports to the Division Director with primary responsibilities of developing and deploying advanced optimization models and machine learning solutions for bid/offer strategies within ISO (Independent System Operator) energy markets. This role focuses on maximizing revenue across microgrids, battery energy storage systems (BESS), and renewable energy assets through data-driven market optimization. The position collaborates closely with energy operations teams to design, implement, and continuously improve algorithmic strategies informed by market data, price forecasting, and asset performance analytics.

Requirements

Bachelor's degree in Data Science, Computer Science, Statistics, Operations Research, Electrical Engineering, or related quantitative field.
5+ years of experience applying machine learning and optimization techniques to real-world problems.
Experience with optimization frameworks and mathematical programming.
Solid understanding of machine learning algorithms including regression, time series forecasting, reinforcement learning, and ensemble methods.
Strong analytical and problem-solving skills with attention to detail.
Excellent communication skills and ability to explain complex technical concepts to non-technical stakeholders.
Ability to work in a fast-paced business environment.
Ability to work closely within a team environment.
Good time management skills.

Nice To Haves

Some experience with ISO energy markets and understanding of market structures.
Experience with reinforcement learning applications in sequential decision-making problems.
Familiarity with energy market simulation and backtesting frameworks.
Understanding of power systems fundamentals and grid operations.

Responsibilities

Design, develop, and implement models to optimize bid/offer strategies for asset participation in ISO energy markets (PJM, MISO, ISO-NE, etc.), in collaboration with energy operations teams.
Build predictive models for energy price forecasting, load forecasting, and renewable generation forecasting to inform and improve bidding strategies.
Develop optimization algorithms for battery storage dispatch, considering state-of-charge constraints, degradation costs, and market price signals.
Collaborate with energy operations teams to develop offer strategies that maximize revenue while managing risk and operational constraints.
Monitor model performance, conduct backtesting, and continuously improve algorithms based on market outcomes.
Assist in developing data pipelines to ingest, process, and analyze large-scale market data, weather data, and asset performance data.
Communicate insights and recommendations to stakeholders through visualizations, reports, and presentations.
Other duties as assigned.