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Senior Forecast Model Analyst

4 months ago

Carmel, United States MIDCONTINENT INDEPENDENT SYSTEM OPERATOR INC Full time
Job DescriptionJob DescriptionPosition Location: Carmel, IN; Eagan, MN; or Little Rock, AR


Are you specialized in energy (load, wind, and/or solar generation, uncertainty) forecasting using artificial neural network (ANN), machine learning, and/or regression forecasting techniques? Are you committed to joining the RTO and tackling the load forecasting challenges, whether that is rooftop solar distributed across 15 states of the US, the electrification of transportation, data centers, etc., or the increasing extreme weather events? Would you like to join a high-performing team with diverse expertise in data science, meteorology, engineering, market and grid operations to transform traditional deterministic forecasting and grid operations into a dynamic and probabilistic way? If so, read on…

We are searching for a Senior Forecast Model Analyst who will be an integral part of transforming MISO’s load forecasting models to manage increasing behind-the-meter solar, data centers, and changing weather patterns. This role will apply data science, statistics, advanced mathematics, and simulation to enhance load forecasting models, recognize patterns, and quantify uncertainty.

As our Senior Forecast Model Analyst, you will focus on load forecasting model enhancement equipped with advanced technologies, including Azure data platform, Machine Learning Studio, ITRON software, etc. You will have ample opportunities to collaborate across MISO, with industry and research entities, and directly help Control Room Operators to drive reliable and efficient operation decisions and market outcomes.

Also, our Senior Forecast Model Analyst will work on a high-performing team that is at the center of MISO’s Reliability Imperative. The team has a clear vision and is driving innovative industry developments. The team’s Uncertainty Platform project recently received a $3 million DoE grant and is featured in Bloomberg news. The team is proud of the value they add when delivering reliability especially during extreme weather events, while enjoying a great work-life balance when system conditions allow.

In one year, you will know you’re successful if you are:

  • Developing and enhancing load forecasting models (e.g., temperature swings, non-confirmable load, or behind-the-meter solar) using statistical, algorithmic, data science, and other techniques.
  • Tracking load forecasting performance or metrics to recognize patterns, address uncertainty, and recommend improvements.
  • Able to work with control room operations and other areas to provide forecasts and risk assessments.
  • Current with MISO Reliability Imperative and Future portfolio and familiar with MISO forecasting software and processes.
  • Collaborating well with the team on projects under Uncertainty Management and Improve Forecasting.

We are looking for hardworking candidates who have at least a bachelor’s degree in Engineering, Statistics, Data Science, Economics, or a related field, along with at least four years of experience in the energy field.

While not required, it would be advantageous if you have any of the following:

  • Master’s degree and/or above.
  • Experience in RTO or utility load or renewable forecasting or equivalent.
  • Experience applying statistical methods, computer applications (e.g., Python, SQL), and tools in forecasting and analysis roles.

The appropriate level will be determined based upon experience and knowledge.


If you're ready to make a significant impact in shaping the future of energy while fostering team growth and innovation, we encourage you to apply for this exciting opportunity

MISO manages the electricity superhighway in the Central U.S. Through use of groundbreaking research and advanced technology, our highly skilled employees ensure power flows reliably to 45 million Americans. Operating the electricity grid, running a robust energy market, planning for a bright future – it’s what our immensely talented and dedicated team does every day.

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