Sr. Data Scientist - Optimization

AmcorNeenah, WI
Onsite

About The Position

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.

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)

Nice To Haves

  • Proven understanding of polymer science, film extrusion, or food-packaging interactions is highly preferred.

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 — 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

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)
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service