[Remote] Data Scientist

Note: The job is a remote job and is open to candidates in USA. Consumers Energy is Michigan’s largest energy provider, delivering natural gas and electricity to customers across the state. The Data Scientist will develop and maintain machine learning and artificial intelligence models, data models, and analytical tools while leveraging HR and workforce data to support workforce planning, organizational effectiveness, labor negotiations, attrition forecasting, and operational decision-making.

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

Skills

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

Benefits

• Hybrid (virtual/onsite) work arrangement with required onsite days on Monday, Tuesday and Thursday
• Relocation package is available for those who qualify
• Medical, Dental and Vision
• 401k with company match
• Paid parental leave
• Up to 13 paid Holidays
• Paid time off
• Educational Assistance Program

Company Overview