Sr. Data Scientist - Optimization

Amcor is hiring a Sr. Data Scientist (Optimization) to lead advanced analytics, optimization, and AI model development in Core R&D.

Responsibilities

• Drive the digital transformation of R&D by scaling advanced analytics, optimization, AI, and automation solutions
• Build optimization models to minimize material cost across product structures and recipes while meeting performance requirements
• Develop scheduling and process optimization models, including sequencing to reduce transition waste and improving product-to-asset matching
• Create and deploy analytics tools and predictive models to improve speed, throughput, and robustness of the R&D design and development process
• Enable early detection of design risks and material property prediction through predictive modeling
• Convert complex analytical findings into clear, actionable recommendations for technical and non-technical audiences
• Continuously improve modeling approaches, optimization techniques, and analytics tools by applying best practices and emerging methods
• Act as a steward for proper use and protection of confidential R&D data
• Serve as a subject-matter-expert on Amcor R&D systems and data structures
• Use knowledge of product structures, R&D design, and manufacturing processes to identify opportunities for advanced analytics value
• Design and implement data structures and features to support development of advanced analytic tools and predictive models
• Perform data modeling and feature engineering to ensure data structures support optimization and analytics at scale
• Partner with data engineers to ensure robust data pipelines and high-quality, connected data sources
• Collaborate with R&D, Operations, Procurement, Finance, Commercial, and IT to understand business challenges and propose solutions aligned with the Advanced Analytics team strategy
• Work with Business Intelligence teams and systems owners to align analytics tools with enterprise data standards and reporting frameworks
• Partner cross-functionally to identify business problems solvable via advanced analytics, including guidance on required data quality and structure
• Contribute as a senior technical consultant to solve complex business and technical challenges using data and advanced modeling techniques

Requirements

• MS or PhD in Data Science, Operations Research, Engineering, Applied Mathematics, or a related field
• 5+ years industry experience (or 3+ with PhD) in operations research, data science, and/or technical engineering
• Demonstrated success improving organizational performance using analytics and AI/ML models
• Proven experience managing cross-functional projects with measurable impact
• Strong statistical modeling and machine learning skills; mathematical optimization expertise is essential
• High proficiency in Python and SQL, including building or contributing to data pipelines
• Experience with Azure cloud preferred
• Experience with optimization solvers preferred: HiGHS, Gurobi, or CPLEX
• Proven understanding of polymer science, film extrusion, or food-packaging interactions is highly preferred

Technology

• Python
• SQL
• Azure
• HiGHS
• Gurobi
• CPLEX

Benefits

• 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)

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

Location & Work Setup

• Neenah, WI
• Onsite