- Hybrid
- 3–10 years
Develop advanced analytical models, forecasting solutions, optimization frameworks, and decision-support tools to support Hoosier Energy’s participation in power markets.
Responsibilities
- Develop, maintain, and enhance statistical, forecasting, optimization, and machine learning models supporting power market decision‑making
- Maintain and recommend improvements to short‑term hourly load forecast models
- Perform analyses of load forecasts, energy market prices, congestion, losses, fuel costs, generation dispatch, transmission constraints, and resource adequacy requirements
- Evaluate generation profitability, load‑serving costs, market performance, and portfolio risk exposures through quantitative analysis
- Conduct scenario analyses, sensitivity studies, and probabilistic forecasting to support strategic and operational decisions
Requirements
- Bachelor’s Degree in Operations Research, Data Science, Engineering, Mathematics, Statistics, Economics, Finance, Computer Science, Information Systems, Analytics or Related quantitative field
- Graduate degree in a quantitative discipline preferred
- Nice to have: Graduate degree in a quantitative discipline