Energy Market Optimization Engineer
Boothwyn, PA - USA
Job Summary
Position Purpose:
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.
Primary Duties/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.
Qualifications :
Education/Experience/Background:
- Bachelors 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.
- Some experience with ISO energy markets and understanding of market structures (preferred).
- Experience with reinforcement learning applications in sequential decision-making problems (preferred).
Knowledge/Skills/Abilities:
- Familiarity with energy market simulation and backtesting frameworks (preferred).
- Understanding of power systems fundamentals and grid operations (preferred).
- 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.
Additional Information :
Benefits: Veolias comprehensive benefits package includes paid time off policies as well as health dental vision life insurance savings accounts tuition reimbursement paid volunteering and addition employees are also entitled to participate in an employer sponsored 401(k) plan to save for retirement.
We are an Equal Opportunity Employer! All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or protected veteran status.
Disclaimer: The salary other compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time subject to applicable law.
Remote Work :
No
Employment Type :
Full-time
About Company
Veolia aims to be the benchmark company for ecological transformation. Our mission to Resource the world demonstrates the unwavering commitment of our 220,000 employees to creating a positive impact for our planet. By joining Veolia Water Technologies, not only will you become a Re ... View more