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Data Science Manager Jobs in Wisconsin (NOW HIRING)

Amcor

R&D Senior Manager - Data Science

Neenah, WI

To learn more about playing for Team Amcor, visitwww.amcor.comILinkedInIGlassdoorIFacebook IYouTube The R&D Senior Manager - Data Science is a strategic leadership role responsible for advancing ...

Exact Sciences

Staff Data Engineer - Science

Madison, WI

$115K - $138K/yr

Manage vendor and external partnerships. * Consistently influence and make significant decisions ... Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ...

Pwc

AI & GenAI Data Scientist - Manager

Milwaukee, WI · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

IFF

Digital & Data Innovation Co-op

Madison, WI · On-site

... Data Science, Management Information Systems, Computer Science, Microbiology or a related technical field. • GPA of 3.0 or higher preferred or demonstrated projects. • Ability to work according ...

Iff

Life Science Data Engineer

Madison, WI · On-site

$115K - $138K/yr

As a Life Science Data Engineer, you will play a key role in advancing digital transformation ... Demonstrated ability to manage multiple projects and work independently in a dynamic environment

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Data Science Manager information

See Wisconsin salary details

$31.3K

$98.1K

$173.6K

How much do data science manager jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data science manager in Wisconsin is $98,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $126,700.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Wisconsin? The most popular types of Data Science jobs in Wisconsin are:
What are popular job titles related to Data Science Manager jobs in Wisconsin? For Data Science Manager jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Wisconsin look for? The top searched job categories for Data Science Manager jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Science Manager jobs? Cities in Wisconsin with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Wisconsin as of June 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $98,053 per year, or $47.1 per hour.
R&D Senior Manager - Data Science

R&D Senior Manager - Data Science

Amcor

Neenah, WI

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

Job description

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.


To learn more about playing for Team Amcor, visitwww.amcor.comILinkedInIGlassdoorIFacebook IYouTube

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

OurExpectations

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)

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