Senior Data Science Engineer Visa Sponsorship Jobs in Wisconsin
Senior data science engineer visa sponsorship jobs in Wisconsin are concentrated in Milwaukee and Madison, where employers like Epic Systems, Northwestern Mutual, American Family Insurance, and Kohl's have active data and AI teams. Wisconsin's strong healthcare IT and insurance sectors, paired with University of Wisconsin-Madison's research pipeline, make the state a steady source of sponsored roles.
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Get Access To All JobsAbout the Role
As Manager, Data Science, you will manage a data science team and work with cross-functional partners to solve business challenges and promote data-driven decision-making with advanced data analysis and machine learning.
What You’ll Do
- Attract, retain, develop, manage, coach and assess data scientists in a balanced team
- Work with product, engineering and design leads and leverage data-driven insights to make decisions, set goals, prioritize work and achieve team objectives
- Lead end-to-end data science projects from problem formulation to model deployment, ensuring high-quality deliverables that meet business needs
- Oversee the design of experiments that answer targeted questions
- Identify and drive continuous improvement of key business metrics within assigned team
- Translate data science outputs into business outcomes and value delivered
- Maintain strong business partner relationships to gain cross-organizational alignment, spur adoption and usage of data science capabilities and drive business outcomes
- Remain current on the latest trends and developments in data science and technology and identify areas that offer the greatest return on investment
- Additional tasks may be assigned
Addendum
Personalization & Recommendation Systems
Accountabilities
- Design and support deployment of machine learning models to power personalized experiences across digital channels (e.g., homepage, PDP, cart, campaigns)
- Build and optimize recommendation and ranking systems balancing relevance, discovery, and business objectives (e.g., conversion, revenue)
- Develop multi-stage ranking approaches, including candidate generation and re-ranking
- Address cold-start and long-tail challenges in large product catalogs
- Partner with engineering to support real-time personalization and scalable deployment
Skills & Experience
- Experience with personalization & recommendation systems, search, or ranking problems at scale of millions of customers and products
- Experience in developing sequential, transformer models and utilizing LLM models in production
- Understanding of collaborative filtering and learning-to-rank methods
- Experience optimizing models for GPU / distributed training
- Familiarity with large-scale datasets and production ML systems
- Exposure to real-time or low-latency serving environments
- Experience with vector search / ANN methods (e.g., FAISS, ScaNN) preferred
- Experience with delivering end to end customized ML models in production environment
Required
Expertise in developing and deploying state-of-the-art algorithms using machine learning and statistical and optimization methods to power various aspects of highly complex business models and deliver value
Expert in using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc.
Strong problem-solving skills with an emphasis on product development
Experience proposing rapid experiments to test the efficacy of new strategies or initiatives and iterating quickly based on results
Proven success guiding teams through unstructured technical problems
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or equivalent quantitative field
5+ years (or 2+ years with a Master’s degree) of progressively complex data science experience
2+ years of managerial or leadership experience in data science or analytics organizations
Preferred
- Master's degree and/or Ph.D.
- Retail experience
- Marketing models
About the Role
As Manager, Data Science, you will manage a data science team and work with cross-functional partners to solve business challenges and promote data-driven decision-making with advanced data analysis and machine learning.
What You’ll Do
- Attract, retain, develop, manage, coach and assess data scientists in a balanced team
- Work with product, engineering and design leads and leverage data-driven insights to make decisions, set goals, prioritize work and achieve team objectives
- Lead end-to-end data science projects from problem formulation to model deployment, ensuring high-quality deliverables that meet business needs
- Oversee the design of experiments that answer targeted questions
- Identify and drive continuous improvement of key business metrics within assigned team
- Translate data science outputs into business outcomes and value delivered
- Maintain strong business partner relationships to gain cross-organizational alignment, spur adoption and usage of data science capabilities and drive business outcomes
- Remain current on the latest trends and developments in data science and technology and identify areas that offer the greatest return on investment
- Additional tasks may be assigned
Addendum
Personalization & Recommendation Systems
Accountabilities
- Design and support deployment of machine learning models to power personalized experiences across digital channels (e.g., homepage, PDP, cart, campaigns)
- Build and optimize recommendation and ranking systems balancing relevance, discovery, and business objectives (e.g., conversion, revenue)
- Develop multi-stage ranking approaches, including candidate generation and re-ranking
- Address cold-start and long-tail challenges in large product catalogs
- Partner with engineering to support real-time personalization and scalable deployment
Skills & Experience
- Experience with personalization & recommendation systems, search, or ranking problems at scale of millions of customers and products
- Experience in developing sequential, transformer models and utilizing LLM models in production
- Understanding of collaborative filtering and learning-to-rank methods
- Experience optimizing models for GPU / distributed training
- Familiarity with large-scale datasets and production ML systems
- Exposure to real-time or low-latency serving environments
- Experience with vector search / ANN methods (e.g., FAISS, ScaNN) preferred
- Experience with delivering end to end customized ML models in production environment
Required
Expertise in developing and deploying state-of-the-art algorithms using machine learning and statistical and optimization methods to power various aspects of highly complex business models and deliver value
Expert in using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc.
Strong problem-solving skills with an emphasis on product development
Experience proposing rapid experiments to test the efficacy of new strategies or initiatives and iterating quickly based on results
Proven success guiding teams through unstructured technical problems
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or equivalent quantitative field
5+ years (or 2+ years with a Master’s degree) of progressively complex data science experience
2+ years of managerial or leadership experience in data science or analytics organizations
Preferred
- Master's degree and/or Ph.D.
- Retail experience
- Marketing models
Senior Data Science Engineer Job Roles in Wisconsin
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Search Senior Data Science Engineer Jobs in WisconsinSenior Data Science Engineer Jobs in Wisconsin: Frequently Asked Questions
Which companies in Wisconsin sponsor visas for senior data science engineers?
Epic Systems in Verona is one of Wisconsin's most consistent H-1B visa sponsors, regularly filing for data and engineering roles. Northwestern Mutual, American Family Insurance, and Kohl's in Milwaukee also have established data science teams with sponsorship histories. Larger healthcare systems like Froedtert Health and UW Health occasionally sponsor senior-level data roles when hiring internationally trained candidates.
Which visa types are most common for senior data science engineer roles in Wisconsin?
The H-1B is the most common visa for senior data science engineers in Wisconsin, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates already in the U.S. on OPT or STEM OPT extension often transition to H-1B through employer sponsorship. The O-1A is an option for candidates with a strong publication or patent record, though it requires documented extraordinary ability.
Which cities in Wisconsin have the most senior data science engineer sponsorship jobs?
Milwaukee and Madison account for the majority of senior data science engineer sponsorship activity in Wisconsin. Madison is anchored by Epic Systems and the University of Wisconsin-Madison's affiliated research and spin-off companies. Milwaukee's concentration of financial services and insurance firms, including Northwestern Mutual and American Family Insurance, generates consistent demand. Smaller markets like Green Bay have limited sponsorship activity in this role category.
How to find senior data science engineer visa sponsorship jobs in Wisconsin?
Migrate Mate filters job listings specifically for roles where employers have indicated visa sponsorship availability, making it easier to find senior data science engineer positions in Wisconsin without manually screening hundreds of listings. You can search by state and role to surface openings at Wisconsin employers with active sponsorship histories. Reviewing employer H-1B disclosure data published by the Department of Labor can also help you identify which Wisconsin companies file most frequently for this role type.
Are there any Wisconsin-specific considerations for senior data science engineers pursuing visa sponsorship?
Wisconsin's prevailing wage requirements for H-1B roles are benchmarked to regional wage surveys, and senior-level data science engineer positions in Milwaukee and Madison generally fall into higher wage levels given the seniority designation. University of Wisconsin-Madison produces a significant pipeline of data science graduates, meaning competition for roles can be meaningful even at the senior level. Candidates with experience in healthcare data systems or insurance analytics are particularly well-positioned for Wisconsin's dominant employer sectors.
What is the prevailing wage for sponsored senior data science engineer jobs in Wisconsin?
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.