Data Science Analyst Visa Sponsorship Jobs in Wisconsin
Data science analyst roles in Wisconsin are concentrated in Milwaukee, Madison, and Green Bay, with employers like Northwestern Mutual, Epic Systems, American Family Insurance, and Fiserv actively hiring for data-intensive positions. The state's financial services, health technology, and insurance sectors drive steady demand, and several employers in these industries have established records of H-1B visa sponsorship for qualified international candidates.
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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
Data Science Analyst Job Roles in Wisconsin
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Search Data Science Analyst Jobs in WisconsinData Science Analyst Jobs in Wisconsin: Frequently Asked Questions
Which companies in Wisconsin sponsor visas for data science analysts?
Northwestern Mutual, Fiserv, American Family Insurance, Epic Systems, and ManpowerGroup are among the Wisconsin-based employers with documented H-1B sponsorship activity for data and analytics roles. Large financial services firms and health technology companies in the state tend to have more established immigration infrastructure, making them more likely to support sponsorship than smaller regional employers.
Which visa types are most common for data science analyst roles in Wisconsin?
The H-1B is the most common visa for data science analysts in Wisconsin, 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 already in the U.S. on F-1 OPT or STEM OPT may also work for Wisconsin employers before transitioning to H-1B status through their employer's petition.
Which cities in Wisconsin have the most data science analyst sponsorship jobs?
Milwaukee and Madison account for the majority of data science analyst sponsorship activity in Wisconsin. Milwaukee's concentration of financial services and insurance firms, including Northwestern Mutual and Fiserv, generates consistent demand. Madison benefits from proximity to the University of Wisconsin and a growing technology sector. Green Bay and Appleton have smaller but active employer bases in manufacturing and insurance analytics.
How to find data science analyst visa sponsorship jobs in Wisconsin?
Migrate Mate filters job listings specifically for visa sponsorship, making it straightforward to find data science analyst roles in Wisconsin without sorting through employers who won't sponsor. You can filter by state and role type to see current openings from Wisconsin employers with active sponsorship history. This saves significant time compared to manually researching individual company immigration policies.
Are there any Wisconsin-specific considerations for data science analysts seeking visa sponsorship?
Wisconsin employers filing H-1B petitions for data science analysts must comply with Department of Labor prevailing wage requirements for the Milwaukee, Madison, or relevant metropolitan area, not a national average. The University of Wisconsin system also produces a strong local pipeline of data talent, which means competition for sponsored roles can be meaningful. Candidates with domain expertise in insurance, financial services, or health informatics tend to align best with Wisconsin's primary hiring sectors.
What is the prevailing wage for sponsored data science analyst 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.