Sr. Data Scientist

Amcor; Neenah (WI); On-site; USD 120,000 - 170,000; Full time

Job summary

Amcor in Neenah, WI seeks a Senior Data Scientist to lead optimization, AI, and advanced analytics across global R&D. You’ll build models, develop data pipelines, and translate insights into actionable guidance for cost reduction and product design.

You'll collaborate with cross-functional teams, own modeling approaches, and drive digital transformation within the R&D analytics roadmap to deliver measurable business impact.

Qualifications

• MS or PhD in Data Science, OR, Eng, Applied Math or related field.
• Proven success applying analytics, AI/ML models to business challenges.
• Cross-functional project leadership with measurable impact.

Responsibilities

• Lead optimization and AI projects across R&D to reduce costs and improve product design.
• Develop scheduling and planning models to optimize manufacturing and operations.
• Translate complex analytics into clear guidance for technical and non-technical audiences.
• Collaborate with data engineers to ensure robust data pipelines and data quality.

Skills

Python

SQL

Data pipelines

Machine learning

Optimization

Statistics

Education

MS or PhD in Data Science, OR, Eng, Applied Math

Tools

Azure

HiGHS

Gurobi

CPLEX

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
• 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.