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.

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