Sr Data Scientist

Consumers Energy•Jackson, MI

28d•Onsite

About The Position

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 position is onsite minimally 3 days a week at One Energy Plaza 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 Applications and Analytics team is at the heart of innovation, powering Michigan’s future by crafting cutting-edge digital solutions that transform how our customers and communities experience energy. Guided by our Digital First strategy, we harness modern technical practices and agile methodologies to ensure data and insights are accessible, reliable, and actionable, enabling evidence-based decision-making, operational efficiency, and innovation across the organization. Join a dynamic team where collaboration, creativity, and impact converge! We partner closely with business teams to uncover digital opportunities, prioritize high-impact outcomes, and deliver trustworthy, user-friendly technology. By embracing our CE Way principles—engaging on solutions, illuminating priorities, and minimizing waste—we build systems that are simple, helpful, and valuable. If you’re passionate about innovation, community, and shaping a sustainable energy future, come grow with us at Consumers Energy! The Senior Data Scientist is responsible for analyzing large, complex datasets and leading support for data output processes. This role develops and maintains data models, tools, and analytical frameworks to meet evolving business needs. The incumbent will collaborate closely with business partners to define requirements, prioritize data requests, and deliver insights that support strategic decision making. The ideal candidate possesses a strong understanding of organizational business needs and can translate complex data challenges into actionable insights using advanced analytical methods.

Requirements

Ability to compile, clean, organize, interpret, and concisely communicate data and analytical results.
Strong logic and reasoning skills to evaluate alternative solutions, conclusions, and approaches to complex problems.
Excellent written and verbal communication skills.
Deep knowledge of data modeling, machine learning algorithms, statistical analysis, data visualization, and data engineering.
Proficiency in process management methodologies.
Strong project management skills with the ability to translate business needs into analytical requirements.
Advanced quantitative analytics skills and structured problem solving capabilities.
Bachelor’s degree in Information Technology, Data Analytics, or a related field, with four (4) or more years of 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 relevant experience [OR] High School Diploma with eight (8) or more years of experience in data science, data analysis, data modeling, and business needs assessment

Nice To Haves

Strong understanding of dimensional modeling concepts (fact tables, dimensions, star schemas) and their use in analytical modeling.
Advanced expertise in machine learning, statistical modeling, and applied analytics.
Extensive experience developing, optimizing, and scaling models in Databricks and Spark based environments.
Proficiency in Python for production quality data science and reusable modeling components.
Experience designing features from complex, enterprise scale datasets.
Familiarity with MLOps principles, including model lifecycle management, monitoring, versioning, and reproducibility.
Demonstrated ability to lead end to end data science initiatives from ideation through adoption.
Proven experience mentoring junior data scientists and contributing to analytical best practices.
Strong collaborative skills, with experience partnering across engineering, analytics, and business functions.

Responsibilities

Communicate data science outputs clearly and support the development of models and analytical solutions that provide actionable insights for business execution.
Lead and execute complex analytics initiatives from ideation through production and organizational adoption, with full understanding of the analytics lifecycle and its common challenges.
Prioritize business initiatives and structure projects for optimal success, considering budget, staffing, and regulatory requirements.
Plan, organize, and manage data resources and processes to achieve project or program objectives within defined scope, time, quality, and budget constraints, including extracting data from primary datasets and business tools.
Perform other duties as assigned or deemed necessary.