Data Scientist

• Support R&D efforts in bio-polymers and sustainable materials using advanced data science, statistical modeling, and machine learning
• Partner with polymer scientists, chemists, and engineers on bio-polymer research and development
• Analyze and model experimental, formulation, and process data to identify structure–property–process relationships
• Develop predictive models for material performance, formulation design, scale-up, and process optimization
• Design and analyze experiments (DOE) to maximize learning efficiency and reduce development timelines
• Build and maintain reproducible data workflows for R&D data ingestion, cleaning, and analysis
• Apply machine learning techniques including regression, classification, clustering, and time-series modeling to scientific datasets
• Collaborate with data engineering and IT teams to enable scalable R&D data infrastructure
• Communicate insights, tradeoffs, and recommendations to technical and non-technical stakeholders
• Contribute to data dictionaries and process flow diagrams for complex data solutions
• Mentor junior data scientists or technical staff and contribute to R&D data science best practices
• Stay current with advances in materials informatics, polymer modeling, and applied AI in scientific research

Data Scientist – Materials R&D

• Support R&D efforts in bio-polymers and sustainable materials using data-driven methods
• Analyze and model experimental, formulation, and process data to identify structure–property–process relationships
• Develop predictive models to support material performance and property optimization, formulation design and screening, and scale-up and process optimization
• Design and analyze experiments (DOE) to maximize learning efficiency and reduce development timelines
• Build and maintain reproducible data workflows for R&D data ingestion, cleaning, and analysis
• Apply machine learning techniques (e.g., regression, classification, clustering, time-series modeling) to complex scientific datasets
• Collaborate with data engineering and IT teams to enable scalable data infrastructure for R&D
• Communicate insights, tradeoffs, and recommendations clearly to technical and non-technical stakeholders
• Contribute to data dictionaries and process flow diagrams for complex data solutions
• Mentor junior data scientists or technical staff and contribute to data science best practices within R&D
• Stay current with advances in materials informatics, polymer modeling, and applied AI in scientific research

Product Manager

• Develop, and execute product line strategies and initiatives, by leading a cross-functional team, which drive Sales and Profit growth and Long-Term Sustainability of the Product Line.
• Responsible for the Product Line Profit and Loss of assigned product line(s).
• Champion development of a product line strategy for key items.
• Become a market expert in the customers and end users in targeted market segments.
• Define target markets, competitors in those markets, competitive products with features and benefits and compare to company products, product pricing positioning and improvements that must be made to enhance product line performance.
• Drive the development and introduction of new products into the markets targeted ensuring fitness for use in design, appropriate cost to meet the targeted price point, proper packaging and development of key features and benefits information for marketing and sales support.
• Continuously analyze the product line to rationalize products to drive a reduction in complexity.
• Develop and execute the tools and training needed to develop and maintain sales force competency to drive new product sales and provide superior customer service.
• Identify new sourced and manufactured products needed to profitably grow key product lines.
• Drive cost reductions or improvement in design of existing products based on changing market needs.
• Lead an effective high-performance business team to deliver objectives.
• Use and continually develop leadership skills.
• Facilitate new item set-up, pricing approvals, quoting and other sales support as needed.

Product Manager – Service

Business Development Rep

• Serve as the product and application “expert” for existing and new products/solutions relevant to e-Fulfillment operations.
• Actively identify and pursue opportunities for new products with decision-makers and influencers at all levels within e-Fulfillment organizations.
• Prospect fulfillment centers for applications of assigned products; conduct needs-development activities to ensure requirements are clearly understood by all customer stakeholders.
• Build and maintain strong relationships with key personnel at the fulfillment center level.
• Achieve assigned revenue and contribution margin goals for designated product lines.
• Manage the sales process from needs development through implementation of IPG solutions.
• Address customer complaints by executing IPG process improvements and facilitating solution implementation.
• Coordinate site visits with relevant IPG functional representatives.
• Demonstrate expertise in all customer communications, including implementation, execution, best practices, products and features, and partnerships.
• Provide forecasts for assigned product lines as requested.
• Serve as a field feedback resource for new product development.
• Participate in the development, launch, and marketing of new products and services as directed.
• Collaborate with department managers and corporate staff to develop long-term business plans for customers.
• Perform other duties as assigned.
• Develop and maintain forecast models.
• Communicate effectively in face-to-face customer interactions with a results-driven mindset.
• Demonstrate resilience and a positive attitude, with the ability to turn challenges into opportunities.
• Exhibit flexibility and a willingness to adapt quickly to changing priorities.

Business Development Manager – E-Fulfillment Sales

Financial Planning and Analysis

• Serve as a strategic finance thought partner to senior leadership, shaping enterprise decisions through sharp financial insight, disciplined analytics, and forward-looking perspectives focused on the commercial team.
• Own monthly distribution of business segment financial results, including executive-level variance analysis, bridge explanations, and interpretation of key performance drivers (price, volume, mix, cost) helping the business prioritize actions that drive sustainable value creation.
• Develop and deliver executive-level financial storytelling, synthesizing data into compelling insights that influence strategic direction and leadership decisions.
• Partner with executive leadership to evaluate growth opportunities, portfolio optimization, and capital allocation decisions, assessing risk/reward tradeoffs through scenario analysis and strategic modeling.
• Collaborate cross-functionally with Commercial, Operations, and Finance leaders to ensure alignment between strategic objectives, operational execution, and financial outcomes.
• Support M&A, corporate strategy, and transformation initiatives through robust financial analysis, scenario modeling, due diligence support, and strategic insight for executive decision-making.
• Mentor and review the work of FP&A team members, raising the bar on analytical rigor, strategic thinking, and executive presence.

Director, FP&A

Manager

• Oversee daily operations of all benefit programs, including health, dental, vision, disability, life, retirement, and ancillary plans
• Ensure benefit eligibility, enrollment, qualifying life events, and payroll deductions are processed accurately
• Serve as the second‑level escalation point for employee benefit inquiries
• Oversee day‑to‑day interactions with carriers, brokers, and third‑party administrators
• Support benefit-related projects, such as vendor transitions, system updates, and M&A integration tasks

Data Scientist – Materials R&D

Data Scientist – Materials R&D

Product Manager – Service

Business Development Manager – E-Fulfillment Sales

Director, FP&A

Benefits Manager