Sr Energy Market Engineer

Consumers Energy•Jackson, MI

4d•Hybrid

About The Position

Consumers Energy is Michigan’s largest energy provider, serving 6.8 million residents across 68 Lower Peninsula counties. The company is committed to delivering reliable, clean, and affordable energy 24/7. This hybrid position requires onsite work on Mondays, Tuesdays, and Thursdays at the Parnall Office in Jackson, Michigan. The selected candidate must be within commuting distance or willing to relocate, with relocation assistance available. This role is not eligible for immigration sponsorship, including H-1B, TN, CPT, OPT, or STEM OPT.

Requirements

Knowledge of MISO energy, capacity, and ancillary services markets and settlements.
Knowledge of ProMod, GenTrader, MetrixIDR, and the PCI software suite.
Data Modeling.
Problem Solving.
Programming.
Knowledge of generation technology and operations.
Machine Learning and Artificial Intelligence.
Database Management.
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field with four (4) or more years of experience in data analysis, data modeling, and energy markets.
Associate degree with six (6) or more years of experience in data analysis, data modeling, and energy markets.
High School Diploma/GED with eight (8) or more years of experience in data analysis, data modeling, and energy markets.

Responsibilities

Create, maintain, and operate electric supply models in the areas of production costs, economic analysis, and electric supply forecasting.
Build, optimize, and validate complex analytical frameworks, such as regression and neural network models, advanced Excel modeling, and generation unit commitment modeling.
Monitor, advise on, and implement MISO energy policies to maximize value for customers while assuring compliance.
Maximize utilization of critical electric supply data software platforms such as PCI, including an in-depth understanding of data parameters, integrating tools into the business by applying MISO market knowledge, and utilizing data to gain business insights and develop market strategies.
Gather, store, manage, and process data from various sources.
Evaluate datasets to uncover trends, patterns, and insights.
Inform business strategy, develop and implement statistical models and machine learning algorithms, forecast trends, and predict outcomes.