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 JobsINTRODUCTION
Accelerate the possible by joining a winning Amcor team that’s transforming the packaging industry and improving lives around the world. At Amcor, we unpack possibility through our innovative and responsible packaging to provide solutions that benefit our customers, our people and our planet. More than 10,000 consumers worldwide encounter our products every second and rely on us for safe access to food, medicine and other goods. We value their trust by making safety our guiding principle. It’s our core value and integral to how we do business.
Beyond this core principle, our shared values and behaviors unite us as we work together to elevate customers, shape lives and protect the future. We champion our customers and help them succeed. We play to win – adapting quickly in an everchanging world – and make smart choices to safeguard our business, our communities and the people we serve for generations to come. And we invest in our world-class team, empowering our colleagues to unpack their potential, because we believe when our people grow, so does our business.
JOB DESCRIPTION
The R&D Senior Manager – Data Science is a strategic leadership role responsible for advancing enterprise business intelligence and analytics capabilities across global R&D. This position combines deep technical expertise with portfolio-level strategy to accelerate innovation, improve decision-making, and strengthen cost competitiveness.
As a key enabler of digital transformation, this leader oversees a multidisciplinary team spanning data science, business intelligence, and systems management—translating complex materials and R&D data into actionable insights that drive business outcomes.
What You’ll Do
Strategic Leadership & Transformation
- Define and execute the enterprise R&D analytics and digital strategy to drive growth, margin expansion, and operational excellence
- Lead end-to-end portfolio governance, including investment prioritization, resource allocation, and roadmap alignment
- Champion the digital transformation of R&D, scaling advanced analytics, AI, and automation solutions
- Act as a thought leader on emerging technologies, identifying scalable opportunities to enhance innovation and competitiveness
- Establish governance frameworks to ensure data integrity, compliance, and execution discipline
Data Science & Advanced Analytics
- Set the direction for advanced modeling, optimization, and machine learning to solve complex R&D and business challenges
- Lead development of scalable analytics tools from concept through production deployment
- Drive adoption of analytics solutions to enable:
- Portfolio optimization
- Risk identification
- Data-driven decision-making
- Oversee the creation and governance of data pipelines, data structures, and features required for advanced analytics
- Serve as a senior technical advisor translating complex data into business value
Systems & Digital Enablement
- Own the vision and governance for R&D systems and analytics platforms
- Partner with IT to design and deploy integrated, scalable digital solutions
- Advance enterprise capabilities in:
- Knowledge management
- Experimentation and modeling
- Specification and product lifecycle data
- Ensure systems are scalable, secure, and aligned with enterprise architecture
Operational Excellence & Performance Management
- Establish and track R&D performance metrics, dashboards, and reporting frameworks
- Drive transparency and accountability through data-driven performance management
- Identify and scale high-impact analytics use cases that deliver measurable business results
People Leadership & Organizational Capability
- Lead and develop a high-performing, global team across data science, BI, and systems
- Build a culture of innovation, accountability, and continuous improvement
- Define and execute talent and capability strategies, including succession planning and skill development
- Mentor leaders and technical experts to strengthen organizational depth and impact
Cross-Functional & Executive Collaboration
- Act as a strategic partner to R&D, Operations, Procurement, Finance, Commercial, and IT leadership
- Align global and regional teams on standards, data governance, and best practices
- Translate business priorities into scalable analytics initiatives that deliver measurable value
- Ensure responsible and secure deployment of analytics solutions in partnership with IT and governance teams
What Success Looks Like
- Scaled deployment of enterprise analytics solutions driving measurable ROI
- Increased speed and quality of R&D decision-making
- Strong adoption of AI and advanced analytics tools across the organization
- A high-performing, future-ready analytics organization
- Robust, trusted data infrastructure supporting innovation and growth
What We’re Looking For
Required Qualifications
- MS or PhD in Data Science, Engineering, or a related field
- 10+ years of experience in data science, analytics, or R&D digital transformation
- 5+ years of leadership experience managing teams or complex cross-functional initiatives
- Proven track record of delivering business impact through analytics, systems, or operational leadership
Technical Expertise
- Advanced knowledge of:
- Statistical modeling
- Optimization techniques
- Machine learning
- Proven programming skills in Python, SQL, and cloud-based data platforms
- Experience building data pipelines, models, and production-ready analytics tools
Domain Expertise (Preferred)
- Background in materials science, polymers, manufacturing, or packaging
- Familiarity with film extrusion or food packaging interactions
Key Leadership Competencies
- Strategic thinker with strong business and operational acumen
- Proven ability to translate complex technical concepts into business value
- Influential leader with strong stakeholder management skills
- Highly collaborative, with the ability to drive alignment across global teams
- Results-oriented, with a track record of taking initiatives from concept to scaled impact
- Curious, innovative, and continuously seeking new ways to create value through data
Additional Information
- Ability to travel up to 25%
LI-onsite
Our Expectations
We expect our people to be guided by The Amcor Way and demonstrate our Values every day to enable the business to win. We are winning when:
- Our people are engaged and developing as part of a high-performing Amcor team
- Our customers grow and prosper from Amcor’s quality, service, and innovation
- Our investors benefit from Amcor’s consistent growth and superior returns
- The environment is better off because of Amcor’s leadership and products
Equal Opportunity Employer/Minorities/Females/Disabled/Veterans/Sexual Orientation/Gender Identity
Amcor is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
If you would like more information about your EEO rights as an applicant under the law, please click on the "Know Your Rights: Workplace Discrimination is Illegal" Poster. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call 224-313-7000 and let us know the nature of your request and your contact information.
E-Verify
We verify the identity and employment authorization of individuals hired for employment in the United States.
Benefits
When you join Amcor, you will have access to a comprehensive benefits and compensation package that includes:
- Medical, dental and vision plans
- Flexible time off, starting at 80 hours paid time per year for full-time salaried employees
- Company-paid holidays starting at 8 days per year and may vary by location
- Wellbeing program & Employee Assistance Program
- Health Savings Account/Flexible Spending Account
- Life insurance, AD&D, short-term & long-term disability, and voluntary benefits
- Paid Parental Leave
- Retirement Savings Plan with company match
- Tuition Reimbursement (dependent upon approval)
- Discretionary annual bonus program (initial eligibility dependent upon hire date)
INTRODUCTION
Accelerate the possible by joining a winning Amcor team that’s transforming the packaging industry and improving lives around the world. At Amcor, we unpack possibility through our innovative and responsible packaging to provide solutions that benefit our customers, our people and our planet. More than 10,000 consumers worldwide encounter our products every second and rely on us for safe access to food, medicine and other goods. We value their trust by making safety our guiding principle. It’s our core value and integral to how we do business.
Beyond this core principle, our shared values and behaviors unite us as we work together to elevate customers, shape lives and protect the future. We champion our customers and help them succeed. We play to win – adapting quickly in an everchanging world – and make smart choices to safeguard our business, our communities and the people we serve for generations to come. And we invest in our world-class team, empowering our colleagues to unpack their potential, because we believe when our people grow, so does our business.
JOB DESCRIPTION
The R&D Senior Manager – Data Science is a strategic leadership role responsible for advancing enterprise business intelligence and analytics capabilities across global R&D. This position combines deep technical expertise with portfolio-level strategy to accelerate innovation, improve decision-making, and strengthen cost competitiveness.
As a key enabler of digital transformation, this leader oversees a multidisciplinary team spanning data science, business intelligence, and systems management—translating complex materials and R&D data into actionable insights that drive business outcomes.
What You’ll Do
Strategic Leadership & Transformation
- Define and execute the enterprise R&D analytics and digital strategy to drive growth, margin expansion, and operational excellence
- Lead end-to-end portfolio governance, including investment prioritization, resource allocation, and roadmap alignment
- Champion the digital transformation of R&D, scaling advanced analytics, AI, and automation solutions
- Act as a thought leader on emerging technologies, identifying scalable opportunities to enhance innovation and competitiveness
- Establish governance frameworks to ensure data integrity, compliance, and execution discipline
Data Science & Advanced Analytics
- Set the direction for advanced modeling, optimization, and machine learning to solve complex R&D and business challenges
- Lead development of scalable analytics tools from concept through production deployment
- Drive adoption of analytics solutions to enable:
- Portfolio optimization
- Risk identification
- Data-driven decision-making
- Oversee the creation and governance of data pipelines, data structures, and features required for advanced analytics
- Serve as a senior technical advisor translating complex data into business value
Systems & Digital Enablement
- Own the vision and governance for R&D systems and analytics platforms
- Partner with IT to design and deploy integrated, scalable digital solutions
- Advance enterprise capabilities in:
- Knowledge management
- Experimentation and modeling
- Specification and product lifecycle data
- Ensure systems are scalable, secure, and aligned with enterprise architecture
Operational Excellence & Performance Management
- Establish and track R&D performance metrics, dashboards, and reporting frameworks
- Drive transparency and accountability through data-driven performance management
- Identify and scale high-impact analytics use cases that deliver measurable business results
People Leadership & Organizational Capability
- Lead and develop a high-performing, global team across data science, BI, and systems
- Build a culture of innovation, accountability, and continuous improvement
- Define and execute talent and capability strategies, including succession planning and skill development
- Mentor leaders and technical experts to strengthen organizational depth and impact
Cross-Functional & Executive Collaboration
- Act as a strategic partner to R&D, Operations, Procurement, Finance, Commercial, and IT leadership
- Align global and regional teams on standards, data governance, and best practices
- Translate business priorities into scalable analytics initiatives that deliver measurable value
- Ensure responsible and secure deployment of analytics solutions in partnership with IT and governance teams
What Success Looks Like
- Scaled deployment of enterprise analytics solutions driving measurable ROI
- Increased speed and quality of R&D decision-making
- Strong adoption of AI and advanced analytics tools across the organization
- A high-performing, future-ready analytics organization
- Robust, trusted data infrastructure supporting innovation and growth
What We’re Looking For
Required Qualifications
- MS or PhD in Data Science, Engineering, or a related field
- 10+ years of experience in data science, analytics, or R&D digital transformation
- 5+ years of leadership experience managing teams or complex cross-functional initiatives
- Proven track record of delivering business impact through analytics, systems, or operational leadership
Technical Expertise
- Advanced knowledge of:
- Statistical modeling
- Optimization techniques
- Machine learning
- Proven programming skills in Python, SQL, and cloud-based data platforms
- Experience building data pipelines, models, and production-ready analytics tools
Domain Expertise (Preferred)
- Background in materials science, polymers, manufacturing, or packaging
- Familiarity with film extrusion or food packaging interactions
Key Leadership Competencies
- Strategic thinker with strong business and operational acumen
- Proven ability to translate complex technical concepts into business value
- Influential leader with strong stakeholder management skills
- Highly collaborative, with the ability to drive alignment across global teams
- Results-oriented, with a track record of taking initiatives from concept to scaled impact
- Curious, innovative, and continuously seeking new ways to create value through data
Additional Information
- Ability to travel up to 25%
LI-onsite
Our Expectations
We expect our people to be guided by The Amcor Way and demonstrate our Values every day to enable the business to win. We are winning when:
- Our people are engaged and developing as part of a high-performing Amcor team
- Our customers grow and prosper from Amcor’s quality, service, and innovation
- Our investors benefit from Amcor’s consistent growth and superior returns
- The environment is better off because of Amcor’s leadership and products
Equal Opportunity Employer/Minorities/Females/Disabled/Veterans/Sexual Orientation/Gender Identity
Amcor is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
If you would like more information about your EEO rights as an applicant under the law, please click on the "Know Your Rights: Workplace Discrimination is Illegal" Poster. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call 224-313-7000 and let us know the nature of your request and your contact information.
E-Verify
We verify the identity and employment authorization of individuals hired for employment in the United States.
Benefits
When you join Amcor, you will have access to a comprehensive benefits and compensation package that includes:
- Medical, dental and vision plans
- Flexible time off, starting at 80 hours paid time per year for full-time salaried employees
- Company-paid holidays starting at 8 days per year and may vary by location
- Wellbeing program & Employee Assistance Program
- Health Savings Account/Flexible Spending Account
- Life insurance, AD&D, short-term & long-term disability, and voluntary benefits
- Paid Parental Leave
- Retirement Savings Plan with company match
- Tuition Reimbursement (dependent upon approval)
- Discretionary annual bonus program (initial eligibility dependent upon hire date)
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.