Data Science Engineer Visa Sponsorship Jobs in Wisconsin
Data science engineer roles in Wisconsin are concentrated in Milwaukee and Madison, where employers like Epic Systems, Northwestern Mutual, and American Family Insurance regularly hire for advanced data and ML positions. The state's strong healthcare IT and insurance sectors, combined with UW-Madison's research pipeline, make Wisconsin a genuine hub for visa-sponsored data science engineering work.
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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
Data Science Engineer Job Roles in Wisconsin
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Search Data Science Engineer Jobs in WisconsinData Science Engineer Jobs in Wisconsin: Frequently Asked Questions
Which companies in Wisconsin sponsor visas for data science engineers?
Epic Systems in Verona, Northwestern Mutual and Fiserv in Milwaukee, and American Family Insurance in Madison are among the Wisconsin employers with documented H-1B visa sponsorship histories for data science and engineering roles. Large healthcare IT firms and financial services companies in the state file Labor Condition Applications regularly for positions requiring machine learning, data pipeline, and statistical modeling expertise.
Which visa types are most common for data science engineer roles in Wisconsin?
The H-1B is the most common visa category for data science engineers in Wisconsin, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already on F-1 OPT or STEM OPT extension can work for a sponsoring employer before the H-1B petition is filed. The O-1A is an option for candidates with demonstrated exceptional achievement in the field.
Which cities in Wisconsin have the most data science engineer visa sponsorship jobs?
Madison and Milwaukee account for the majority of data science engineer sponsorship activity in Wisconsin. Madison benefits from proximity to UW-Madison and Epic Systems' large Verona campus, which draws significant tech and data talent. Milwaukee is home to financial services firms including Northwestern Mutual and Fiserv, both of which have active data engineering teams and established international hiring programs.
How to find data science engineer visa sponsorship jobs in Wisconsin?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for data science engineer roles in Wisconsin without sorting through positions that won't support international candidates. You can filter by state and role type to surface openings at Wisconsin employers like Epic Systems or Fiserv that have active sponsorship programs, saving significant time compared to reviewing unfiltered postings.
Are there state-specific factors that affect visa sponsorship for data science engineers in Wisconsin?
Wisconsin's data science engineering market is shaped heavily by two sectors: healthcare IT centered around Epic Systems and the UW Health system, and financial services anchored in Milwaukee. Both sectors have consistent international hiring pipelines and familiarity with H-1B sponsorship processes. UW-Madison also produces a steady supply of OPT-eligible data science graduates, which means many Wisconsin employers have existing infrastructure for transitioning international candidates from OPT to H-1B sponsorship.
What is the prevailing wage for sponsored 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.