Senior Data Scientist

Description

You will work with large and complex datasets to identify trends and anomalies, investigate market and operational outcomes, and develop forward-looking analytics that help MISO better understand what is happening in the market — and what may happen next. You will also partner closely with MISO’s Digital Technology team to move analytics from an idea to a scalable solution, building pipelines, dashboards, alerts, and predictive tools that support better and faster 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.
• Create 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.

Requirements

• 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.

Qualifications

• Bachelor’s degree in Data Science, Economics, Operations Research, or a related field; a Master’s degree is preferred.

Skills

• Experience with energy market forecasting and analysis, power system operations, statistical or econometric analysis, electricity market design, or related software development.

Benefits

• The base salary compensation range being offered for this role is $119,000-$144,000 USD annually.
• The position is also eligible for an annual bonus if individual performance and company objectives are met.

Pay

The base salary compensation range being offered for this role is $119,000-$144,000 USD annually.

Schedule

Full-time.