Consumers Energy

Sr Data Scientist

Sr Data Scientist
Notice info
LocationJackson, MI
On-site
Utilities

About This Job

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.


Location: This is a hybrid (virtual/onsite) position with required onsite days on Monday, Tuesday and Thursday assigned to either One Energy Plaza or Parnall located in Jackson, MI. 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 Senior Data Scientist is responsible for analyzing large and complex datasets and leading the data output process. This role involves developing and maintaining machine learning (ML) and artificial intelligence (AI) models, data models, and analytical tools to support business objectives. The ideal candidate will be proficient in classification, regression, and other ML techniques, and capable of communicating technical concepts to non-technical stakeholders. This individual will collaborate with business units to define requirements and fulfill data requests for strategic analytical initiatives. A strong understanding of organizational business needs and the ability to generate actionable insights to solve complex problems is essential.


Essential Duties and Responsibilities

- Prioritize business initiatives and structure projects for optimal success, considering budget, staffing, and regulatory requirements

- Lead and execute complex analytics initiatives from ideation through production and adoption, with a clear understanding of the analytics lifecycle and common challenges

- Plan, organize, and manage data resources and processes to meet complex project or program objectives within defined scope, time, quality, and budget constraints

- Extract data from primary datasets and business tools to support analytical efforts

- Communicate data science outputs effectively and contribute to the development of models and solutions that deliver actionable insights for business execution

- Independently evaluate, select, build, train, and apply the most effective modeling approaches using data science methodologies

- Collaborate with internal and external stakeholders to identify, research, and resolve advanced analytical challenges

- Perform other duties as assigned or required


Knowledge/Skills/Abilities

- Strong expertise in quantitative analytics and structured problem-solving

- Ability to apply logic and reasoning to evaluate alternative solutions and approaches

- Proficiency in data modeling, machine learning algorithms, statistical analysis, data visualization, and data engineering

- Solid understanding of project management principles and the ability to define project and business requirements

- Skilled in compiling, cleaning, organizing, interpreting, and communicating data and results clearly and concisely

- Excellent written and verbal communication skills

- Strong process management capabilities


Education/Experience

- Bachelor’s degree in Data Science, Information Technology, Data Analysis, or a related field, with four (4) or more years of in-depth experience in data science, data analysis, data modeling, and business needs assessment

- [OR] Associate’s degree in Data Science, Information Technology, Data Analysis, or a related field, with six (6) or more years of in-depth experience in data science, data analysis, data modeling, and business needs assessment

- [OR] High School Diploma with eight (8) or more years of in-depth experience in data science, data analysis, data modeling, and business needs assessment


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, capABLE, Interfaith 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.


Job Segment: Research Scientist, Senior Scientist, Statistics, Data Modeler, Data Analyst, Science, Data

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