Power markets data science and optimization shape decisions at Hoosier Energy’s hybrid Bloomington, Indiana headquarters. Apply forecasting, statistics, and machine learning.
This full time position leads analytical work supporting RTO energy, capacity, transmission, congestion, and ancillary services markets. You will develop models, dashboards, datasets, and decision-support tools while collaborating with IT, System Operations, Finance, Generation, and Strategic Planning. The work transforms market, operational, weather, fuel, transmission, and financial data into actionable insights.
Key Responsibilities: Develop forecasting, optimization, statistical, and machine learning models
Analyze prices, congestion, losses, fuel costs, and dispatch
Conduct scenario analyses, sensitivity studies, and probabilistic forecasts
Build dashboards,



visualizations, workflows, and reporting tools
Communicate recommendations to technical and executive audiences
Requirements: Bachelor’s degree in a quantitative field
Three to ten years of relevant progressively responsible experience
Experience applying statistics, optimization, forecasting, and machine learning
Experience with large datasets, databases, and data management
Knowledge of SQL, Power BI, Microsoft Fabric, or Azure
Bring power market expertise, quantitative modeling, and data visualization skills to Hoosier Energy’s Bloomington analytical team.

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📌 Power Markets Data Scientist (British Columbia)
🏢 Hoosier Energy Jobs
📍 British Columbia