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