Sr. Data Scientist - Optimization

Amcor
Neenah, WI, United StatesFull-timePosted Aug 31, 2026

About the role

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, visit www.amcor.com I LinkedIn I Glassdoor I Facebook I YouTube

Job Description

As a Sr. Data Scientist in Amcor Core R&D, you'll lead the development of models and advanced analytics tools, enabling data-driven decision making across the global Flexibles R&D organization. This role develops mathematical optimization, machine learning, and AI solutions, and contributes to the data pipelines that feed them — to support cost reduction, manufacturing efficiency, and product design.

This position works closely with cross-functional teams to integrate enterprise data into the R&D development process and enable scalable, high-impact capabilities that drive business results. Serves as a senior technical expert for optimization, AI, and advanced analytics, providing recommendations that help shape the R&D analytics roadmap and digital transformation initiatives.

Optimization, AI, & Advanced Analytics

Champion the digital transformation of R&D, scaling advanced analytics, optimization, AI, and automation solutions

Build optimization models that minimize material cost across product structures and recipes while meeting performance requirements

Develop scheduling and process optimization models — sequencing for transition waste minimization and improving how products are matched to asset capabilities

Develop and deploy analytics tools and predictive models that improve the speed, throughput, and robustness of the R&D design and development process — including early detection of design risks and material property prediction

Translate complex analytical insights into clear, actionable recommendations for technical and non-technical audiences

Continuously improve modeling approaches, optimization techniques, and analytics tools through adoption of best practices and emerging methods

Act as a steward for proper use and protection of confidential R&D data

Systems & Business Intelligence

Serve as subject-matter-expert in Amcor R&D systems and data structures

Use knowledge of product structures, R&D design process and manufacturing processes to identify opportunities where advanced analytics tools can create value for Amcor

Design and implement data structures and features that enable development of advanced analytic tools and predictive models

Perform data modeling and feature engineering to support optimization and analytics tools, ensuring data structures are fit for advanced modeling and scalability

Partner closely with data engineers to ensure robust data pipelines and high-quality, connected data sources across systems

Cross-Functional Collaboration

Act as a strategic partner to R&D, Operations, Procurement, Finance, Commercial, and IT to understand business challenges and propose solutions that connect to Advanced Analytics team strategy

Collaborate with Business Intelligence teams and systems owners to align analytics tools with enterprise data standards and reporting frameworks

Collaborate cross-functionally to understand business challenges that can be solved via advanced analytics techniques and advise on data quality and structure required to support capability

Contribute as a senior technical consultant to solve complex business and technical challenges using data and advanced modeling techniques

What Success Looks Like

Scaled deployment of enterprise analytics solutions

Increased speed and quality of R&D decision-making

Strong adoption of AI and advanced analytics tools across the organization

Robust, trusted data infrastructure supporting innovation and growth

Qualifications/Requirements

MS or PhD in Data Science, Operations Research, Engineering, Applied Mathematics, or related field.

5+ years (3+ with PhD) of industry experience in operations research, data science, and/or technical engineering field.

Demonstrated success improving organizational performance through analytics, AI/ML models.

Proven experience managing cross‑functional projects with measurable impact.

Proven statistical modeling and machine learning skills; expertise in mathematical optimization is essential.

High Proficiency in Python, SQL, including building or contributing to data pipelines.

Experience with Azure cloud platform preferred. Experience with optimization solvers (HiGHS, Gurobi, CPLEX)

Proven understanding of polymer science, film extrusion, or food-packaging interactions is highly preferred.

#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)

Responsibilities

  • Lead the development of models and advanced analytics tools for data-driven decision making
  • Develop mathematical optimization, machine learning, and AI solutions
  • Build optimization models to minimize material costs
  • Develop scheduling and process optimization models
  • Translate complex analytical insights into actionable recommendations
  • Act as a steward for proper use and protection of confidential R&D data

Qualifications

  • MS or PhD in Data Science, Operations Research, Engineering, Applied Mathematics, or related field
  • 5+ years of industry experience in operations research, data science, or technical engineering
  • Proven experience managing cross-functional projects
  • Expertise in statistical modeling and machine learning
  • High proficiency in Python and SQL

Benefits

  • Medical, dental and vision plans
  • Flexible time off starting at 80 hours paid time per year
  • Company-paid holidays starting at 8 days per year
  • Wellbeing program & Employee Assistance Program
  • Health Savings Account/Flexible Spending Account
  • Life insurance and disability benefits
  • Paid Parental Leave
  • Retirement Savings Plan with company match
  • Tuition Reimbursement

Skills mentioned

PythonSQLMachine LearningStatistical ModelingFeature EngineeringPredictive ModelingData PipelinesData EngineeringMicrosoft AzureData Analysis

About Amcor

As a global leader in packaging solutions for consumer and healthcare products, our industry-leading innovation capabilities, global scale and technical expertise help our customers grow and meet the needs of millions of consumers every day. We accelerate the possible by redefining what can be done, constantly anticipating what our customers will need next, rethinking what is scientifically feasible and always helping our customers find the right solution to their challenges. Social Media Community Guidelines Thank you for being part of our online community and contributing to our discussions by sharing your voice. We’re happy to have you here and are committed to fostering a welcoming, respectful and engaging community. We encourage open conversation and do not pre-screen or moderate comments or messages before they are posted. However, we reserve the right to remove content that violates our community guidelines outlined below. - Off-topic or clearly misrepresents Amcor - Includes hate speech, discriminatory remarks or any attacks based on someone’s race, ethnicity, gender, religion, nationality or other personal characteristics - Misleading or deceptive content that promotes fraud or false information - Irrelevant to the conversation, including spam, promotional or trolling - Potentially violates copyright laws and/or any form of intellectual property rights - We appreciate your cooperation in maintaining a positive space for all. Thank you for helping us create a positive and respectful community.

Packaging and Containers Manufacturing10,001+ employeesZurich