Senior Data Scientist - AI, Optimization & R&D Analytics

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

Benefits offered by this job

Medical/Dental/Vision

Flexible time off

Holidays

Wellbeing program

Retirement plan match

Tuition reimbursement

Job summary

Amcor is seeking a Senior Data Scientist in Core R&D to lead models and analytics, enabling data-driven decisions across the global Flexibles R&D organization. You will develop optimization, AI, and ML solutions, and contribute to data pipelines supporting cost reduction, manufacturing efficiency, and product design.

This role collaborates with cross‑functional teams to integrate enterprise data into the R&D development process and guide the analytics roadmap and digital

Qualifications

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

Responsibilities

• 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.
• 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.

Education

MS or PhD in Data Science/OR/Engineering/Applied Mathematics

Tools

Python

SQL

Azure

HiGHS/Gurobi/CPLEX

Job description

Amcor is seeking a Senior Data Scientist in Core R&D to lead models and analytics, enabling data-driven decisions across the global Flexibles R&D organization. You will develop optimization, AI, and ML solutions, and contribute to data pipelines supporting cost reduction, manufacturing efficiency, and product design.

This role collaborates with cross‑functional teams to integrate enterprise data into the R&D development process and guide the analytics roadmap and digital