Data Science Analyst Visa Sponsorship Jobs in Michigan
Data science analyst roles in Michigan are concentrated in Detroit's automotive and mobility sector, with major employers like Ford, General Motors, Stellantis, and Blue Cross Blue Shield actively hiring. Ann Arbor's tech and university ecosystem adds further demand. Many of these employers have established H-1B sponsorship histories for quantitative and analytics roles.
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Get Access To All JobsDepartmental Preferences:
- Basic ability to use generative AI tools (e.g., AI coding assistants, chat-based models) to enhance software development workflows, automate routine tasks, and improve overall analytic and documentation productivity while adhering to established engineering best practices.
- Ability to follow corporate generative AI policies and team guidelines, including thoroughly reviewing, validating, and understanding AI-generated content for accuracy, bias, compliance, and appropriate use before incorporating it into code, analyses, or business deliverables.
With significant supervision, responsible for conducting data discovery and data analysis. Develop moderately complex algorithms, solve complex business issues using statistical, algorithmic, mining and visualization techniques, most notably machine and algorithms. Work under the supervision of the project technical lead to develop components within the advanced analytics solution for complex business problems.
- Perform data querying, processing, and manipulation of data sets using state of the art data processing and analytics software.
- Through data mining techniques, discover data patterns, generate insights, and derive inferences that drive decisions that will generate additional hypotheses, optimize business objectives, and help scope the advanced analytics assets.
- Support the successful design, development, and implementation of advanced analytics through data mining, machine learning, and descriptive and/or predictive model building using state of the art analytics software, e.g., Python.
- Produce statistical analyses and data visualizations using tools such as Tableau. Communicate analytic insights to technical team lead to ensure models are well understood.
- Take part in training (online, classroom, webinars, etc.) to increase skill set and technical capabilities to better serve the needs of the business. Share training materials and communicate knowledge gained to other Data Science staff to maximize knowledge transfer.
QUALIFICATIONS
- Bachelor’s degree in Business, Data Science, Statistics, Economics, Engineering, Computer Science, Operations Research, or related field is required. Master's or PhD in related field is preferred.
- A minimum of one (1) year of related experience is preferred (experience may include relevant school projects, experiences, and internships).
- Previous experience programming (at least one language) is required.
- Basic knowledge in mining and visualizing data is required.
- Basic knowledge of building advanced analytics assets such as machine learning algorithms, e.g., logistic regression, random forests, gradient boosting machines, etc. is required.
- Basic knowledge around the diagnostic measures to evaluate advanced analytics models is required.
- Basic foundational knowledge in mathematics and algorithm design is required.
- Basic knowledge in using various analytical software to write and implement algorithms is required.
- Basic skills in Microsoft Word, Excel, and PowerPoint are required.
- Ability to clearly communicate findings to project technical lead is required.
Departmental Preferences:
- Basic ability to use generative AI tools (e.g., AI coding assistants, chat-based models) to enhance software development workflows, automate routine tasks, and improve overall analytic and documentation productivity while adhering to established engineering best practices.
- Ability to follow corporate generative AI policies and team guidelines, including thoroughly reviewing, validating, and understanding AI-generated content for accuracy, bias, compliance, and appropriate use before incorporating it into code, analyses, or business deliverables.
With significant supervision, responsible for conducting data discovery and data analysis. Develop moderately complex algorithms, solve complex business issues using statistical, algorithmic, mining and visualization techniques, most notably machine and algorithms. Work under the supervision of the project technical lead to develop components within the advanced analytics solution for complex business problems.
- Perform data querying, processing, and manipulation of data sets using state of the art data processing and analytics software.
- Through data mining techniques, discover data patterns, generate insights, and derive inferences that drive decisions that will generate additional hypotheses, optimize business objectives, and help scope the advanced analytics assets.
- Support the successful design, development, and implementation of advanced analytics through data mining, machine learning, and descriptive and/or predictive model building using state of the art analytics software, e.g., Python.
- Produce statistical analyses and data visualizations using tools such as Tableau. Communicate analytic insights to technical team lead to ensure models are well understood.
- Take part in training (online, classroom, webinars, etc.) to increase skill set and technical capabilities to better serve the needs of the business. Share training materials and communicate knowledge gained to other Data Science staff to maximize knowledge transfer.
QUALIFICATIONS
- Bachelor’s degree in Business, Data Science, Statistics, Economics, Engineering, Computer Science, Operations Research, or related field is required. Master's or PhD in related field is preferred.
- A minimum of one (1) year of related experience is preferred (experience may include relevant school projects, experiences, and internships).
- Previous experience programming (at least one language) is required.
- Basic knowledge in mining and visualizing data is required.
- Basic knowledge of building advanced analytics assets such as machine learning algorithms, e.g., logistic regression, random forests, gradient boosting machines, etc. is required.
- Basic knowledge around the diagnostic measures to evaluate advanced analytics models is required.
- Basic foundational knowledge in mathematics and algorithm design is required.
- Basic knowledge in using various analytical software to write and implement algorithms is required.
- Basic skills in Microsoft Word, Excel, and PowerPoint are required.
- Ability to clearly communicate findings to project technical lead is required.
Data Science Analyst Job Roles in Michigan
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Search Data Science Analyst Jobs in MichiganData Science Analyst Jobs in Michigan: Frequently Asked Questions
Which companies sponsor visas for data science analysts in Michigan?
Ford Motor Company, General Motors, Stellantis, and Blue Cross Blue Shield of Michigan are among the most active H-1B sponsors for data science and analytics roles in the state. Michigan-based health systems like Henry Ford Health and Beaumont Health also sponsor data science analysts. Auto suppliers such as Aptiv and Lear Corporation have filed LCAs for similar quantitative roles as well.
Which visa types are most common for data science analyst roles in Michigan?
The H-1B is the most common visa for data science analysts in Michigan, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in statistics, computer science, mathematics, or a related field. Candidates with a master's degree may benefit from the advanced degree exemption during H-1B registration. OPT and STEM OPT are also widely used by recent graduates before an employer files an H-1B petition.
Which cities in Michigan have the most data science analyst sponsorship jobs?
Detroit and its surrounding metro area, including Dearborn and Southfield, account for the largest share of data science analyst sponsorship jobs in Michigan, driven by automotive and insurance sector demand. Ann Arbor is the second-strongest market, anchored by the University of Michigan and a growing tech and startup community. Grand Rapids has a smaller but emerging presence, particularly in healthcare analytics.
How to find data science analyst visa sponsorship jobs in Michigan?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find data science analyst roles in Michigan where employers are open to sponsoring. You can browse by state and role type to surface positions at automotive companies, health systems, and tech firms across Detroit, Ann Arbor, and beyond. This saves significant time compared to manually screening postings that don't disclose sponsorship status.
Are there any Michigan-specific factors that affect data science analyst visa sponsorship?
Michigan's heavy concentration in automotive manufacturing means many data science analyst roles involve engineering-adjacent work, which strengthens the specialty occupation case for H-1B purposes. The University of Michigan, Michigan State University, and Wayne State University produce large pipelines of international STEM graduates who transition directly into Michigan employer sponsorships. Prevailing wage levels for data science roles in the Detroit metro differ from Ann Arbor, so the certified LCA wage will vary depending on the worksite location.
What is the prevailing wage for sponsored data science analyst 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.
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