About this opportunity
Amcor lists this Sr. Data Scientist opportunity in neenah, Wisconsin. Review the employer’s description below for duties, qualifications and application requirements.
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.
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Worksite address
neenah, WI, 54956, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.