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Relocation Package Data Science Jobs in Michigan

... relocation package is available for those that qualify).    General Summary of Job ... Communicate data science outputs effectively and support the development of models and solutions ...

... relocate (relocation package is available for those that qualify). General Summary of Job ... Communicate data science outputs effectively and support the development of models and solutions ...

... torelocate(relocation package is available for those that qualify). General Summary of Job ... Communicate data science outputs effectively and support the development of models and solutions ...

To implement quantitative and predictive models, data science experiments using literate ... software packages like SAS, R, or equivalent preferred; experience with programming languages ...

To implement quantitative and predictive models, data science experiments using literate ... software packages like SAS, R, or equivalent preferred; experience with programming languages ...

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field * 5+ years of ... This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes ...

Stay up to date with the latest trends and technologies in data science and machine learning ... Their employment is tied to their role on a project, and they are eligible for a benefits package ...

Stay up to date with the latest trends and technologies in data science and machine learning ... Their employment is tied to their role on a project, and they are eligible for a benefits package ...

Stay up to date with the latest trends and technologies in data science and machine learning ... Their employment is tied to their role on a project, and they are eligible for a benefits package ...

... approved packages and architectures. You will collaborate with Data Engineers and Software ... Master's degree in quantitative fields, such as Data Science, Engineering, Operations Research ...

Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ... Relocation assistance IS provided for this specific role* Candidates for positions with Ford Motor ...

Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical ... Along with a competitive base salary, our excellent benefits package includes a matched 401(k) ...

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Relocation Package Data Science information

What is a relocation package for data science jobs?

A relocation package for data science jobs is a set of benefits provided by employers to help new hires move to a new location for work. These packages typically cover expenses such as moving costs, temporary housing, travel expenses, and sometimes assistance with finding permanent housing. The goal is to reduce the financial and logistical burden of relocating so that data scientists can start their new roles smoothly. The specifics of a relocation package can vary widely between companies, locations, and job levels.

How does a typical relocation package support data science professionals moving to a new city or country for a role?

A typical relocation package for data science professionals often includes assistance with moving expenses, temporary housing, and support with visa or work permit processes. You may also receive help with finding permanent accommodation and settling-in services, such as local orientation or language courses. These benefits are designed to ease the transition so you can focus on your new role, collaborate effectively with your team, and integrate quickly into the organization. Relocation packages vary by company, so it's a good idea to clarify the details during the hiring process.

What are the key skills and qualifications needed to thrive as a Data Scientist, especially when utilizing relocation packages, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, programming (typically Python or R), and a relevant degree such as in computer science or mathematics. Experience with machine learning frameworks, data visualization tools, and familiarity with cloud platforms and big data systems are commonly required, while certifications like AWS Certified Data Analytics or Google Data Engineer can be advantageous. Excellent problem-solving, communication, and adaptability skills help you collaborate across diverse teams and adjust to new environments, especially during relocation. These skills ensure you can extract actionable insights from complex data, integrate smoothly into new workplaces, and drive impactful business decisions.

What is the difference between Relocation Package Data Science vs Data Analyst?

AspectRelocation Package Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentTech companies, consulting firms, or finance sectors with complex data projectsBusiness, marketing, or finance departments analyzing data for insights
Employer & Industry UsageCommon in industries offering relocation packages for specialized rolesWidely used across industries for routine data analysis tasks

Relocation Package Data Science roles typically require advanced degrees and focus on developing predictive models and algorithms, often in tech or finance sectors. Data Analysts usually have similar educational backgrounds but focus on interpreting data and generating reports. Both roles may involve relocation, but Data Science positions tend to be more specialized and technical.

What are popular job titles related to Relocation Package Data Science jobs in Michigan? For Relocation Package Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Relocation Package Data Science jobs in Michigan look for? The top searched job categories for Relocation Package Data Science jobs in Michigan are:
What cities in Michigan are hiring for Relocation Package Data Science jobs? Cities in Michigan with the most Relocation Package Data Science job openings:
Infographic showing various Relocation Package Data Science job openings in Michigan as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Data Scientist

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Consumers Energy rating

8.2

Company rating: 8.2 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

24th of 50 rated energy and utility


Job description

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 Jackson Service Center 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 Data Scientist will support the organization’s data output processes and partner with the business to define requirements for analytical and strategic initiatives. This role requires a strong understanding of business needs and the ability to generate actionable insights using a variety of analytical methods. 

Essential Duties and Responsibilities
  • Prioritize business initiatives and structure projects for optimal success, considering budget, staffing, and regulatory requirements. 
  • Communicate data science outputs effectively and support the development of models and solutions that provide clear, actionable insights for business execution. 
  • Plan, organize, and manage resources and processes to achieve project or program objectives within established scope, timelines, quality standards, and budget constraints. 
  • Lead analytics initiatives from ideation through production and adoption, demonstrating a strong understanding of the analytics lifecycle and common pitfalls. 
  • Perform other duties as assigned or as necessary. 
Knowledge/Skills/Abilities
  • Strong quantitative analytics skills and structured problem solving abilities. 
  • Ability to evaluate strengths and weaknesses of alternative solutions, conclusions, or approaches. 
  • Basic knowledge of data modeling, machine learning algorithms, statistical analysis, data visualization, and data engineering. 
  • Broad understanding of project management principles and ability to identify project and business requirements. 
  • Excellent written and verbal communication skills. 
  • Ability to compile, organize, interpret, and clearly communicate data and analytical results. 
  • Strong process management skills. 
  • Ability to use logic and reasoning to evaluate alternative solutions, conclusions, or approaches. 
Education/Experience
  • Bachelor’s degree in Information Technology, Data Analytics, or a related field, with two (2) 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 four (4) or more years of relevant experience 
    • [OR] High School Diploma with six (6) or more years of experience in data science, data analysis, data modeling, and business needs assessment 
Preferred Experience

Candidates with one or more of the following skills will stand out: 

  • Familiarity with dimensional modeling concepts (fact tables, dimensions, star schemas) and the rationale behind analytical data model structures. 
  • Proficiency in Python for data science and machine learning model development. 
  • Handson experience using Databricks for largescale data science and experimentation. 
  • Working knowledge of Spark for distributed data processing and feature engineering. 
  • Experience applying statistical modeling, machine learning, or predictive analytics to business problems. 
  • Ability to collaborate with data engineers to design and prepare featureready datasets and pipelines. 
  • Understanding of model evaluation, validation, and interpretability techniques. 
  • Experience communicating analytical results to stakeholders and supporting insight adoption. 
  • Strong understanding of the analytics lifecycle from problem definition through production support. 

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.


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