MISO is looking to develop innovative solutions, pilots, and prototypes to enable the reliable operation of the future grid by leveraging AI, machine learning, and advanced analytics to support predicting grid disturbances, optimizing power flow, and improving resiliency amid the evolving energy landscape.
Requirements
- Extensive knowledge in supervised/unsupervised learning, deep learning, large language models (LLMs), natural language processing, physics-based AI and applied mathematical techniques for electric grid network analysis (e.g. IIOT, SCADA, etc.) and resiliency modeling.
- Hands-on experience with big data, distributed and high-performance computing, cloud technologies, and machine learning platforms such as Databricks, Azure, and Apache Spark.
- Proficient in Python, R, SQL, and tools like GitHub, with a strong foundation in multivariate time series data hypothesis testing, regression analysis, and forecasting for the electric power grid.
- Preferred experience in the energy industry with grid simulation and a strong ability to translate complex datasets into actionable insights through advanced visualization.
Responsibilities
- Play a pivotal role in advanced research and experimentation to improve predictive fault analysis, state estimation, contingency analysis, and power flow optimization for grid operations.
- Collaborate with internal leaders and external stakeholders to identify data-driven opportunities that enhance grid reliability, particularly related to renewable energy, large loads, and power flow stability.
- Apply statistical, analytical, and programming skills to process and interpret streaming grid data, identify patterns and root causes, and provide actionable insights for real-time decision making.
- Communicate complex findings through clear, impactful visualizations and presentations tailored to both technical and non-technical audiences, supporting strategic planning and operational decisions.
- Mentor team members in AI, machine learning, and cloud tools, while staying current with emerging data science trends and contributing to a culture of innovation and accountability.
Other
- Master’s in a relevant field with 5+ years of experience leading impactful, data-driven projects using advanced statistical analysis, predictive modeling, and machine learning techniques.
- Communicate complex findings through clear, impactful visualizations and presentations tailored to both technical and non-technical audiences, supporting strategic planning and operational decisions.
- Mentor team members in AI, machine learning, and cloud tools, while staying current with emerging data science trends and contributing to a culture of innovation and accountability.
- Appropriate level will be determined based upon experience and knowledge.
