Senior Energy Market Analytics Engineer

CMS Energy, Corp.; Jackson, Northern (MI, KY); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical, Dental and Vision

401k with company match

Paid parental leave

Up to 13 paid Holidays

Paid time off

Educational Assistance Program

Job summary

Consumers Energy in Michigan is seeking a Sr. Energy Market Engineer to lead short- and long-term production cost modeling and optimize MISO energy market offer strategies.

The role involves evaluating generation unit performance, market performance, and energy metrics to inform business strategy. The ideal candidate will develop statistical models and machine learning algorithms, process data from multiple sources, and implement advanced Excel and unit commitment models to maximize value for

Qualifications

• Bachelor's degree in CS/Engineering/Data Science with 4+ years in data analysis and energy markets.
• Experience with data modeling, energy market analysis, and forecasting.

Responsibilities

• Create, maintain, and operate electric supply models for production costs, economics, and forecasting.
• Build, optimize, and validate analytical frameworks including regression and neural networks and generation unit commitment modeling.
• Monitor and advise on MISO energy policies to maximize value for customers while ensuring compliance.
• Utilize PCI and other data platforms to derive insights and develop market strategies.
• Perform additional duties as assigned.

Skills

MISO energy markets

ProMod

GenTrader

MetrixIDR

Data modeling

Problem solving

Programming

Generation tech & operations

Machine learning & AI

Database management

Education

Bachelor's degree in CS/Engineering/Data Science

Associate degree in relevant field

High School Diploma with experience

Tools

PCI software suite

Job description

Consumers Energy in Michigan is seeking a Sr. Energy Market Engineer to lead short- and long-term production cost modeling and optimize MISO energy market offer strategies.

The role involves evaluating generation unit performance, market performance, and energy metrics to inform business strategy. The ideal candidate will develop statistical models and machine learning algorithms, process data from multiple sources, and implement advanced Excel and unit commitment models to maximize value for