Data Scientist — Workforce Analytics & Forecasting (Hybrid)

CMS Energy, Corp.; Royal Oak (MI); Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

Competitive compensation

Medical, Dental and Vision

401k with company match

Paid parental leave

13 paid holidays

Paid time off

Educational Assistance Program

Job summary

Consumers Energy in Michigan seeks a Data Scientist to develop and maintain ML/AI models, data models, and analytics tools to support strategic business decisions. You will collaborate with HR to forecast employee time utilization, absence trends, and workforce planning, driving data-driven recommendations across the organization.

The role emphasizes applying data science to workforce analytics, attrition risk, and capacity planning, with a hybrid onsite/remote work model and relocation

Qualifications

• Bachelor's Degree in Data Science, Data Analytics, or related field with 2+ years of experience.
• Associate Degree in Data Science, Data Analytics, or related field with 4+ years of experience.
• High School Diploma/GED with 6+ years of relevant experience.

Responsibilities

• Plan, organize, and control resources to achieve project objectives.
• Prioritize initiatives considering budget, headcount, and regulatory needs.
• Lead analytics initiatives from ideation to production and adoption.
• Communicate data science outputs to inform business decisions.
• Evaluate and apply modeling approaches using data science theory.
• Perform other duties as assigned.

Skills

Quantitative analytics

Data modeling

Machine learning

Data visualization

Statistical analysis

Communication

Project management

Data engineering

Business insight

Education

Bachelor's in Data Science or related

Associate in Data Science or related

High School or GED with experience

Tools

Python

SQL

ML frameworks

Job description

Consumers Energy in Michigan seeks a Data Scientist to develop and maintain ML/AI models, data models, and analytics tools to support strategic business decisions. You will collaborate with HR to forecast employee time utilization, absence trends, and workforce planning, driving data-driven recommendations across the organization.

The role emphasizes applying data science to workforce analytics, attrition risk, and capacity planning, with a hybrid onsite/remote work model and relocation