Senior Data Scientist

Midcontinent Independent System Operator (MISO) operates and evolves a complex electric grid and energy market in the Central United States. The Senior Data Scientist – Market Evaluation will analyze large, complex datasets to investigate market and operational outcomes, identify trends and anomalies, and develop predictive analytics. The role also partners with Digital Technology to build scalable pipelines, dashboards, alerts, and analytical tools that support decision-making.

Responsibilities

• Use statistical, economic, and advanced data analysis to uncover meaningful patterns in market operations, participant activity, pricing, supply and demand, market anomalies, and market design
• Develop forward-looking and predictive analytics that help identify emerging market trends, behaviors, and potential issues
• Build automated alerts, dashboards, and analytical tools that flag unusual market outcomes and make complex information easier to understand and act upon
• Lead end-to-end data science projects — from defining the problem and project scope through development, implementation, and delivery
• Investigate specific market outcomes and operational events using data queries, MISO systems, and simulation tools to identify root causes and evaluate potential scenarios
• You contribute to team goals, create useful insights, ask relevant questions, and help identify opportunities to improve market performance

Skills

• A Bachelor's degree in Data Science, Economics, Operations Research, or a related field
• At least eight (8) years of relevant experience working with data science, advanced analytics, economic analysis, or related disciplines
• Strong programming and analytical experience using tools such as Python, R, SAS, EViews, or VBA
• Experience developing machine learning and AI-driven predictive analytics, which may include regression and forecasting, classification and clustering, time-series forecasting, deep learning, natural language processing, and large language models
• Experience with common data science and machine learning frameworks such as NumPy, TensorFlow, PyTorch, and Scikit-learn
• Experience creating dashboards and data visualization solutions using tools such as Power BI, Tableau, Plotly, or Streamlit
• Experience working with cloud platforms and modern software engineering practices, including Azure, AWS, GCP, and Git
• Strong knowledge of data management and data engineering, including SQL, NoSQL, ETL processes, and data warehousing
• A Master's degree is preferred
• Even better if you have experience with energy market forecasting and analysis, power system operations, statistical or econometric analysis, electricity market design, or related software development
• Previous experience with a Regional Transmission Organization (RTO), Independent System Operator (ISO), utility, or other energy market participant would be especially valuable

Benefits

• Annual bonus if individual performance and company objectives are met
• 401k
• Vacation, sick and safe time, available on your first day of employment

Company Overview

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