Data Science Manager Visa Sponsorship Jobs in Michigan
Michigan's data science manager market centers on Detroit's automotive and mobility sector, with major employers like Ford, General Motors, and Stellantis regularly hiring senior data science talent. The Ann Arbor corridor adds a strong university-linked tech presence. Visa sponsorship for data science managers in Michigan is most active in manufacturing analytics, autonomous vehicle R&D, and enterprise software.
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Get Access To All JobsRequisition ID: 68538
About Whirlpool Corporation
Whirlpool Corporation (NYSE: WHR) is a leading home appliance company, in constant pursuit of improving life at home. As the only major U.S.-based manufacturer of kitchen and laundry appliances, the company is driving meaningful innovation to meet the evolving needs of consumers through its iconic brand portfolio, including Whirlpool, KitchenAid, JennAir, Maytag, Amana, Brastemp, Consul, and InSinkErator. In 2024, the company reported approximately $17 billion in annual sales - close to 90% of which were in the Americas - 44,000 employees, and 40 manufacturing and technology research centers.
The team you will be a part of
The Data Science team is responsible for modeling complex business problems, discovering business insights, and identifying opportunities through the use of statistical, algorithmic, mining, and visualization techniques. In addition to advanced analytics skills, this role is also proficient at integrating and preparing large, varied datasets, architecting specialized database and computing environments, and communicating results.
This Role In Summary
Whirlpool is seeking a qualified candidate to fill a Data Science Manager position within the Supply Chain Analytics team. This role will be located at our Riverview Campus, in Benton Harbor, MI. We are looking for a hands-on leader to drive our supply chain advanced analytics strategy and implementation. You will lead a small team to transform complex data into actionable insights, moving our supply chain from descriptive reporting to predictive modeling and optimization. You will champion the development of high-value predictive models for production planning, inventory management, demand planning, order management, warehousing, and logistics.
Your Responsibilities Will Include
Strategy and People Leadership
- Define the Roadmap: Define and execute the advanced analytics strategy, shifting the organization toward predictive and prescriptive solutions (e.g., safety stock optimization, forecasting, network design).
- Team Development: Lead, mentor, and grow a team of Data Analysts, fostering a culture of technical excellence that drives tangible business impact.
- Project Delivery: Manage the intake, prioritization, and execution of data science initiatives. Ensure resources are aligned with high-ROI projects and drive them from conception to deployment.
Technical Execution and Innovation
- End-to-End Predictive Modeling: Develop and automate full-cycle predictive modeling workflows using Python, Alteryx, and GCP—extracting data from sources (SAP HANA, GCP) to solve supply chain challenges and integrating results into execution systems (SAP, Anaplan), data warehouses, and BI dashboards (Tableau, Looker).
- GenAI & Innovation: Lead the exploration of Large Language Models (LLMs) and Machine Learning (via Vertex AI) to automate business processes and generate novel insights.
- Data Products & Visualization: Oversee the creation of automated reporting pipelines and intuitive dashboards (Tableau, Looker) that empower end-users to make data-driven decisions based on modeling outputs.
Minimum Requirements
- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
- 5+ years of total experience in data analytics, data science, or data engineering.
- 2+ years of experience leading people or managing complex technical projects.
- Strong proficiency in SQL for complex data extraction and manipulation.
- Strong proficiency in Python for statistical modeling and machine learning.
Preferred Skills And Experiences
- Advanced Education: Master’s degree in Engineering, Data Analytics, Statistics, or Computer Science.
- Cloud & ERP Experience: Proficiency with GCP (BigQuery, Vertex AI) and SAP HANA.
- Domain Expertise: 3+ years of experience in Supply Chain Operations (Production Planning, Inventory Optimization, Demand Planning, or Logistics).
- Modern Data Stack: Proficiency with Alteryx and SAP HANA Studio for ETL, and experience utilizing LLMs (e.g., Gemini) for business automation.
- Communication: Demonstrated ability to bridge the gap between technical data science and non-technical business stakeholders.
- Soft Skills: Strong analytical, problem-solving, and communication skills across all levels of the organization.
Additional Information
Whirlpool’s Ways of Working
Benefits
Our goal is to provide an environment that helps you bring your best to Whirlpool every day. While employees in this role work in-person Monday through Friday. We offer flexibility and industry-leading time-off benefits that will help you balance what’s important at work and at home, including:
- Always On Flexibility - You will have the autonomy to manage personal, family, and outside-of-work commitments as needed.
- Two-Week Work from Anywhere - Minimum of one-week increments for a total of two weeks per year.
- Sabbatical - Four weeks paid leave after every five years of service.
Connect with us and learn more about Whirlpool Corporation.
Whirlpool Corporation is committed to equal employment opportunity and prohibits any discrimination on the basis of race or ethnicity, religion, sex, pregnancy, gender expression or identity, sexual orientation, age, physical or mental disability, veteran status, or any other category protected by applicable law.
Requisition ID: 68538
About Whirlpool Corporation
Whirlpool Corporation (NYSE: WHR) is a leading home appliance company, in constant pursuit of improving life at home. As the only major U.S.-based manufacturer of kitchen and laundry appliances, the company is driving meaningful innovation to meet the evolving needs of consumers through its iconic brand portfolio, including Whirlpool, KitchenAid, JennAir, Maytag, Amana, Brastemp, Consul, and InSinkErator. In 2024, the company reported approximately $17 billion in annual sales - close to 90% of which were in the Americas - 44,000 employees, and 40 manufacturing and technology research centers.
The team you will be a part of
The Data Science team is responsible for modeling complex business problems, discovering business insights, and identifying opportunities through the use of statistical, algorithmic, mining, and visualization techniques. In addition to advanced analytics skills, this role is also proficient at integrating and preparing large, varied datasets, architecting specialized database and computing environments, and communicating results.
This Role In Summary
Whirlpool is seeking a qualified candidate to fill a Data Science Manager position within the Supply Chain Analytics team. This role will be located at our Riverview Campus, in Benton Harbor, MI. We are looking for a hands-on leader to drive our supply chain advanced analytics strategy and implementation. You will lead a small team to transform complex data into actionable insights, moving our supply chain from descriptive reporting to predictive modeling and optimization. You will champion the development of high-value predictive models for production planning, inventory management, demand planning, order management, warehousing, and logistics.
Your Responsibilities Will Include
Strategy and People Leadership
- Define the Roadmap: Define and execute the advanced analytics strategy, shifting the organization toward predictive and prescriptive solutions (e.g., safety stock optimization, forecasting, network design).
- Team Development: Lead, mentor, and grow a team of Data Analysts, fostering a culture of technical excellence that drives tangible business impact.
- Project Delivery: Manage the intake, prioritization, and execution of data science initiatives. Ensure resources are aligned with high-ROI projects and drive them from conception to deployment.
Technical Execution and Innovation
- End-to-End Predictive Modeling: Develop and automate full-cycle predictive modeling workflows using Python, Alteryx, and GCP—extracting data from sources (SAP HANA, GCP) to solve supply chain challenges and integrating results into execution systems (SAP, Anaplan), data warehouses, and BI dashboards (Tableau, Looker).
- GenAI & Innovation: Lead the exploration of Large Language Models (LLMs) and Machine Learning (via Vertex AI) to automate business processes and generate novel insights.
- Data Products & Visualization: Oversee the creation of automated reporting pipelines and intuitive dashboards (Tableau, Looker) that empower end-users to make data-driven decisions based on modeling outputs.
Minimum Requirements
- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
- 5+ years of total experience in data analytics, data science, or data engineering.
- 2+ years of experience leading people or managing complex technical projects.
- Strong proficiency in SQL for complex data extraction and manipulation.
- Strong proficiency in Python for statistical modeling and machine learning.
Preferred Skills And Experiences
- Advanced Education: Master’s degree in Engineering, Data Analytics, Statistics, or Computer Science.
- Cloud & ERP Experience: Proficiency with GCP (BigQuery, Vertex AI) and SAP HANA.
- Domain Expertise: 3+ years of experience in Supply Chain Operations (Production Planning, Inventory Optimization, Demand Planning, or Logistics).
- Modern Data Stack: Proficiency with Alteryx and SAP HANA Studio for ETL, and experience utilizing LLMs (e.g., Gemini) for business automation.
- Communication: Demonstrated ability to bridge the gap between technical data science and non-technical business stakeholders.
- Soft Skills: Strong analytical, problem-solving, and communication skills across all levels of the organization.
Additional Information
Whirlpool’s Ways of Working
Benefits
Our goal is to provide an environment that helps you bring your best to Whirlpool every day. While employees in this role work in-person Monday through Friday. We offer flexibility and industry-leading time-off benefits that will help you balance what’s important at work and at home, including:
- Always On Flexibility - You will have the autonomy to manage personal, family, and outside-of-work commitments as needed.
- Two-Week Work from Anywhere - Minimum of one-week increments for a total of two weeks per year.
- Sabbatical - Four weeks paid leave after every five years of service.
Connect with us and learn more about Whirlpool Corporation.
Whirlpool Corporation is committed to equal employment opportunity and prohibits any discrimination on the basis of race or ethnicity, religion, sex, pregnancy, gender expression or identity, sexual orientation, age, physical or mental disability, veteran status, or any other category protected by applicable law.
Data Science Manager Job Roles in Michigan
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Search Data Science Manager Jobs in MichiganData Science Manager Jobs in Michigan: Frequently Asked Questions
Which companies sponsor visas for data science managers in Michigan?
Ford Motor Company, General Motors, Stellantis, and Rocket Companies are among the most consistent sponsors of data science managers in Michigan, based on Department of Labor LCA disclosure data. Consulting firms with Michigan offices, including Deloitte and Accenture, also file H-1B visa petitions for data science manager roles. Automotive suppliers such as Aptiv and Bosch North America contribute additional sponsorship activity in the state.
Which visa types are most common for data science manager roles in Michigan?
The H-1B is the primary visa category for data science managers in Michigan, as the role typically requires a bachelor's degree or higher in computer science, statistics, or a related field, meeting the specialty occupation standard. Candidates already holding L-1A status at a multinational employer may transition into Michigan-based manager roles without entering the H-1B lottery. EB-2 and EB-3 immigrant visa petitions are also filed by larger Michigan employers for permanent sponsorship of experienced data science managers.
Which cities in Michigan have the most data science manager sponsorship jobs?
Detroit and its suburban corridor, including Dearborn, Troy, and Southfield, account for the largest share of data science manager sponsorship activity in Michigan, driven by automotive and financial services employers. Ann Arbor is the second-strongest market, anchored by the University of Michigan's research ecosystem and companies like Duo Security and StockX. Grand Rapids has a smaller but growing presence in health tech and manufacturing analytics.
How to find data science manager visa sponsorship jobs in Michigan?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for data science manager roles in Michigan without sorting through positions that don't offer sponsorship. You can narrow results by location, including Detroit, Ann Arbor, and Dearborn. Because Michigan's sponsorship activity is concentrated in automotive, tech, and financial services, filtering by those industries on Migrate Mate helps surface the most relevant openings.
What state-specific factors should data science managers know about visa sponsorship in Michigan?
Michigan's prevailing wage requirements for data science manager H-1B petitions are set by the Department of Labor using Detroit-Warren-Dearborn metropolitan area wage surveys, which reflect the state's manufacturing and tech salary norms. The University of Michigan and Michigan State University pipelines consistently produce local data science talent, meaning employers in Ann Arbor and East Lansing are accustomed to sponsoring OPT and H-1B candidates. Automotive sector hiring tends to follow product development cycles, with peak demand in Q1 and Q3.
What is the prevailing wage for sponsored data science manager jobs in Michigan?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.