Lead Materials Scientist | Hybrid Innovation & Impact

Kimberly-Clark USA; Wisconsin; Ibrido; USD 120.000 - 160.000; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible work model

Inclusive culture

Descrizione del lavoro

Kimberly-Clark Lead Scientist Materials in Wisconsin leads development of material innovations for iconic brands such as Huggies, Kleenex, and Cottonelle. You will guide cross-functional teams from concept to prototype, shaping sustainable solutions with a focus on safety and product performance.

The role emphasizes collaboration with R&E, Marketing, and pilot plants, enabling experiments, data analysis, and scalable processes.

Competenze

• Bachelor's or advanced engineering or relevant scientific discipline degree.
• 2+ years relevant product, materials, or process experience.
• Strong analytical skills.
• Effective communication skills with the ability to discuss technical issues in a business environment.

Mansioni

• Identify material innovations aligned to meet consumer and business needs within the Personal Care business.
• Seek and understand competitive technologies and innovation.
• Provide leadership within a team environment to drive innovation from initial product/material prototype, BV's, and helping support the FEI process through MVC, MVP, MVT.
• Collaborate broadly inside the organization with R&E, BG&I Marketing, I&A, pilot plant, and cross-functional disciplines.

Conoscenze

Analytical skills

Communication skills

Materials science

Team collaboration

Formazione

Bachelor's or advanced engineering or relevant scientific discipline degree

Descrizione del lavoro

Kimberly-Clark Lead Scientist Materials in Wisconsin leads development of material innovations for iconic brands such as Huggies, Kleenex, and Cottonelle. You will guide cross-functional teams from concept to prototype, shaping sustainable solutions with a focus on safety and product performance.

The role emphasizes collaboration with R&E, Marketing, and pilot plants, enabling experiments, data analysis, and scalable processes.