Power Markets Data Scientist & Optimization Analyst - Hybrid Remote

Hoosier Energy•Bloomington, IN

5h•Hybrid

About The Position

The Power Markets Data Scientist & Optimization Analyst develops advanced analytical models, forecasting solutions, optimization frameworks, and decision-support tools to support Hoosier Energy’s participation in RTO energy, capacity, transmission, congestion management, and ancillary services markets. The role combines power market expertise with data science to improve market strategies, forecast outcomes, optimize portfolio performance, and support enterprise decision-making. Serving as the lead analytical resource within the Power Markets group, this position collaborates with IT, Information Services, System Operations, Strategic Planning, Finance, and Generation personnel. It transforms market, operational, generation, transmission, weather, fuel, and financial data into insights and visualizations for operational and strategic use. The work supports market optimization, resource adequacy planning, congestion analysis, generation and load strategies, settlement validation, risk management, and long-term planning through operations research, statistics, machine learning, and business intelligence. The position involves extensive computer-based analytical work and interaction with internal and external stakeholders under normal office working conditions. Occasional travel may be required for industry meetings, training, conferences, and stakeholder engagement activities.

Requirements

Bachelor’s degree in Operations Research, Data Science, Engineering, Mathematics, Statistics, Economics, Finance, Computer Science, Information Systems, Analytics, or a related quantitative field.
3–10 years of progressively responsible experience in power markets, energy analytics, operations research, data science, forecasting, business intelligence, engineering, quantitative analysis, finance, or a related field.
3–10 years of experience applying statistical methods, optimization techniques, forecasting methodologies, and machine learning to complex business problems.
Experience developing analytical models, dashboards, reporting solutions, and decision-support tools.
Experience working with large datasets, databases, and data management processes.
Skills in statistical analysis and predictive modeling, time-series forecasting, machine learning and AI applications, operations research and optimization, and simulation and scenario analysis.
Database management and SQL skills.
Data visualization and business intelligence skills, including Power BI, Microsoft Fabric, Azure Data Services, or similar analytics platforms.
Knowledge of data engineering principles and data governance practices; familiarity with ETL software.
Strong analytical, critical-thinking, problem-solving, and decision-making skills.
Excellent written and verbal communication skills, including the ability to communicate effectively with technical and non-technical audiences.
Ability to manage multiple assignments and priorities and collaborate across departments.
Demonstrated initiative and a continuous-improvement mindset.
Ability to adapt to evolving market conditions and business needs.

Nice To Haves

Graduate degree in a quantitative discipline.
3–10 years of experience in wholesale electric markets, utility operations, generation planning, transmission planning, or energy portfolio management.

Responsibilities

Develop, maintain, and enhance statistical, forecasting, optimization, and machine learning models for power market decision-making.
Maintain and recommend improvements to short-term hourly load forecast models.
Analyze load forecasts, energy 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 for strategic and operational decisions.
Develop predictive and prescriptive analytics solutions to improve market performance, portfolio value, and asset utilization.
Analyze forecasting accuracy, bidding effectiveness, and market outcomes to support continuous improvement.
Develop optimization models for generation dispatch, energy portfolio management, resource adequacy, transmission utilization, congestion mitigation, fuel procurement, and energy storage operations.
Apply operations research, mathematical programming, simulation, and machine learning to improve market participation and portfolio value.
Quantify risks and uncertainty related to market prices, load forecasts, generation availability, transmission congestion, weather events, and regulatory changes.
Model emerging technologies, market opportunities, and long-term resource planning alternatives.
Analyze Financial Transmission Rights, congestion exposure, and transmission-related market opportunities and risks.
Partner with IT/IS to define and enhance data pipelines, data integration, and analytical environments for power market analytics.
Collaborate with technology teams to improve data availability, quality, structure, and governance across market, operational, financial, transmission, fuel, and settlement data.
Develop analytical datasets, automated workflows, reusable models, and reporting tools.
Support cloud-based analytics, reporting, and business intelligence solutions with IT/IS teams.
Develop and maintain dashboards, scorecards, visualizations, and decision-support tools using SAS, Power BI, Microsoft Fabric, Azure data services, or similar technologies.
Promote data quality, reproducibility, documentation standards, and analytics best practices across Power Markets processes.
Assist with development and evaluation of generation offer and load bidding strategies in MISO markets.
Support validation of market settlements, MISO invoices, congestion charges, and transaction records.
Maintain familiarity with corporate processes and systems affected by MISO market operations, including load forecasting, scheduling, settlements, generation dispatch, and resource adequacy.
Provide analytical support during critical market events and operational decision-making periods.
Collaborate with System Control, Generation, Portfolio, Forecasting, Finance, and Economic Development personnel on analytical needs and business initiatives.
Communicate analytical findings and recommendations to technical and executive audiences.
Prepare reports, presentations, dashboards, and executive briefings for strategic and operational decisions.
Represent Hoosier Energy in MISO, ACES, and other industry working groups, committees, or task forces as assigned.
Monitor industry developments, market design changes, and regulatory initiatives and assess their potential impacts on Hoosier Energy’s operations and strategy.