Senior Data Scientist

About the role

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

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

• Education Required: Bachelors or better in Economics, Data Science.
• Experience Required: Strong knowledge of data management and data engineering, including SQL, NoSQL, ETL processes, and data warehousing.
• Experience Required: Experience working with cloud platforms and modern software engineering practices, including Azure, AWS, GCP, and Git.
• Experience Required: Experience creating dashboards and data visualization solutions using tools such as Power BI, Tableau, Plotly, or Streamlit.
• Experience Required: Experience with common data science and machine learning frameworks such as NumPy, TensorFlow, PyTorch, and Scikit-learn.
• Experience Required: 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 Required: Strong programming and analytical experience using tools such as Python, R, SAS, EViews, or VBA.
• Experience Required: 8 years: Relevant experience working with data science, advanced analytics, economic analysis, or related disciplines.

Skills

• Statistical, Economic, and Advanced Data Analysis
• Machine Learning and AI-Driven Predictive Analytics
• Data Visualization and Dashboard Creation
• Cloud Platforms and Modern Software Engineering Practices
• Data Management and Data Engineering

Benefits

Comprehensive benefits package, including 401k, vacation, sick and safe time, available on your first day of employment.

Pay

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

Schedule

Full-time position.