Hybrid Packaging Scientist: Innovation & Sustainability

Coderio; Quilmes; Hybrid; ARS 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive compensation

401(k) program

Health benefits

Flexible work environment

Half-day Fridays

Learning and growth opportunities

Job summary

Clorox is seeking an experienced packaging scientist in Argentina to join a dynamic global R&D team focused on AMEA packaging development. You will lead end-to-end packaging projects from concept to commercialization, collaborating with Product, Process Development, Marketing, Sales, Supply Chain, and Sustainability to deliver innovative, cost-efficient, and sustainable packaging solutions.

The role emphasizes hands-on laboratory execution, data-driven decision making, and cross-functional

Qualifications

• 3+ years of packaging development or packaging engineering experience.
• Bachelor's degree in a packaging/engineering field; Master's is a plus.
• Fluency in English and ability to communicate technically across functions.

Responsibilities

• Drive end-to-end packaging development from concept to commercialization.
• Create and manage packaging specifications and data like weights and diagrams.
• Lead pilot trials, scale-up, and cooperation with global and regional teams.

Skills

Packaging development

Packaging engineering

English fluency

ASTM packaging testing

Lab and manufacturing experience

Leadership and influencing

Education

Bachelor's degree in Packaging Engineering

Materials/Mechanical Engineering

Master's degree in Packaging Science

Tools

AutoCAD

TOPS

Job description

Clorox is seeking an experienced packaging scientist in Argentina to join a dynamic global R&D team focused on AMEA packaging development. You will lead end-to-end packaging projects from concept to commercialization, collaborating with Product, Process Development, Marketing, Sales, Supply Chain, and Sustainability to deliver innovative, cost-efficient, and sustainable packaging solutions.

The role emphasizes hands-on laboratory execution, data-driven decision making, and cross-functional