Sr. Data Scientist - Optimization

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 ever changing 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.comILinked

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As a Sr. Data Scientist in Amcor Core R&D, you'lllead 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.

• 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

• 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

• 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

• 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…