Data Scientist

Consumers Energy is Michigan’s largest energy provider, providing natural gas and/or electricity to 6.8 million of the state’s 10 million residents in all 68 Lower Peninsula counties. Consumers Energy knows job number one is to keep the lights on for customers. We are committed to delivering reliable, clean, and affordable energy to our customers 24/7. 

This position is not eligible for immigration sponsorship, e.g., H-1B, TN, etc. Please do not apply if you will need immigration sponsorship for a work visa now or in the future, including sponsorship for H-1B, TN, etc., now or in the future. We are unable to hire individuals with CPT, OPT, or STEM OPT for this position as the position is not eligible for participation in the H-1B lottery program and is not eligible for current or future immigration sponsorship for a work visa.

Location: This is a hybrid (virtual/onsite) position with required onsite days on Monday, Tuesday and Thursday and may be assigned to any Consumers Energy Service Center located throughout Michigan's lower Peninsula.  The selected candidate must be within a commutable distance or willing to relocate (relocation package is available for those that qualify).

General Summary of Job Responsibilities

The Data Scientist will support the data science capabilities. They are responsible for developing and maintaining ML/AI models, data models, and tools to support business needs. The incumbent will work with the business to establish requirements and data requests for analytical strategic projects. Obtain an understanding of the business needs of organizations and the ability to generate actionable insights using various methods.

In this role, the successful candidate will leverage HR and workforce data to support strategic business decisions, workforce planning, and organizational effectiveness initiatives. The individual will develop forecasts and analytics related to employee time utilization, including vacation, sick leave, and other absence trends; support labor and contract negotiations through workforce data analysis and insights; analyze workforce trends to predict attrition and turnover risks; evaluate staffing capacity and workforce availability by assessing planned and anticipated employee time off; and provide data-driven recommendations that support workforce planning, operational readiness, resource allocation, and overall business performance.

Essential Duties and Responsibilities

• Responsible for planning, organizing, and controlling resources/processes to achieve project/program objectives within scope, time, quality, and budget constraints

• Prioritize business initiatives and structure projects for optimum success taking into consideration budget, head count, and regulatory requirements

• Conduct an analytics initiative from ideation through production and adoption and have an understanding of the life cycle of an analytics initiative and the common pitfalls

• Communicate data science outputs and support the creation of models and solutions that provide insights for the business to interpret and execute successfully

• Independently or with a team to evaluate, select, build, train, & apply the most effective modeling approach using Data Science theory.

• Other duties as assigned or may be necessary.

Knowledge/Skills/Abilities

• Strong acumen in quantitative analytics and structured problem solving

• Excellent communication skills both written and verbal

• Knowledge and understanding of data modeling, machine learning algorithms, statistical analysis, data visualization, and data engineering

• Ability to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems

• Project management knowledge, ability to identify the project/business requirements

• Ability to compile, organize, interpret, and communicate data and results concisely

• Process management skills

• Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems

• Data Science theory and application.

Education/Experience

• Bachelor's Degree in Data Science, Data Analytics, or related field two (2) or more years of experience Data Science, Data Analysis, Data Modeling and understanding business needs.

• [OR] Associate Degree in Data Science, Data Analytics, or related field four (4) or more years of experience Data Science, Data Analysis, Data Modeling and understanding business needs.

• [OR] High School Diploma or GED six (6) or more years of experience Data Science, Data Analysis, Data Modeling and understanding business needs.

Preferred Experience

• Experience supporting Human Resources (HR) functions and working with workforce-related data is highly preferred.

• Employee timekeeping and timecode management, including leave programs such as the Family and Medical Leave Act (FMLA).

• Union and non-union workforce structures, including differences in compensation, benefits, and labor agreements.

• Talent acquisition and recruiting processes, including applicant tracking data, organizational structures, and workforce planning considerations.

• Employment policies, labor laws, and government regulations related to workforce management, including Equal Employment Opportunity (EEO) and protected status requirements.

Why should you join our team?

At Consumers Energy, we offer more than just a place to work. We foster a culture that supports career development, growth, and stability, and we take pride in offering our co-workers excellent benefits and compensation packages. We are deliberately creating an inclusive culture that makes our diverse team of co-workers feel valued, supported, and empowered every day. We're a company made up of thousands of people, all with different stories to share and work to do, but we stand united in our company purpose: world class performance delivering hometown service.

What we offer:

• Competitive compensation packages

• Medical, Dental and Vision

• 401k with company match

• Paid parental leave

• Up to 13 paid Holidays

• Paid time off

• Educational Assistance Program

Diversity, Equity & Inclusion:

We, at CMS Energy, value Diversity, Equity, & Inclusion. It is part of our DNA. We treat our employees with respect, we treat each other fairly and we value the opinions of others. We are passionate about building and nurturing an environment where everyone feels included. We don’t discriminate. We seek to learn about each other and better understand our unique differences. Our uniqueness makes us authentic. We create safe spaces where everyone can be who they truly are. We invite difficult conversations and uncomfortable topics. We value diverse perspectives; this is what makes us great together. We harbor an inclusive environment where employees feel empowered to share their backgrounds, experiences, and ideas. Our Employee Resource Groups, Women in Energy (WE), Minority Advisory Panel (MAP), Pride Alliance of Consumers Energy (PACE), GENERGY (Different Generations), capable (Different Abilities), Interfaith, People Planet Partners, and Veterans Advisory Panel (VAP) are key enablers to living the values of our company culture: Caring, Empowered, Deliberate, Agility, and Ownership.

All qualified applicants will not be discriminated against and will receive consideration for employment without regard to protected veteran status, disability, race, color, religion, sex, age, sexual orientation, gender identity or national origin.