R&D Systems Performance Specialist — Beverage Machines

Nestlé S.A.; Orbe; Hybrid; CHF 110.000 - 160.000; Vollzeit

Benefits dieser Stelle

Flexible work options

Paid holidays

Learning & development

Performance bonus

Healthcare contribution

Pension plan

Parental leave

Employee discounts

Zusammenfassung

Nestlé S.A. is seeking an Associate R&D Specialist System Performance to drive the capability of in-home beverage systems like Nespresso and Nescafé Dolce Gusto.

You will collaborate with Front End Innovation, Development and Industrialization teams to ensure optimal cup quality and user experience. You will apply physics, fluid mechanics and data analysis to improve machine-product-packaging interactions, leveraging modelling and digital tools, including Python and R, to accelerate learning and

Qualifikationen

• Strong knowledge of physics, fluid mechanics and beverage system performance.
• Science-based mindset to understand machine, product and packaging interactions.
• Experience with data analysis and modelling tools to generate insights.

Aufgaben

• Drive system performance to deliver consistent cup quality and user experience across beverage systems.
• Build science-based understanding of interactions to optimize design decisions.
• Use data analysis, modelling and digital tools to accelerate learning beyond physical testing.
• Provide explanations of system phenomena to support technical decisions.
• Support troubleshooting, root cause analysis and commissioning for project delivery.
• Collaborate across product, packaging and machine teams to drive innovation.

Kenntnisse

Physics

Fluid mechanics

Data analysis

Modelling

Python

R

Cross-functional collaboration

Communication

French

English

Tools

Python

R

Jobbeschreibung

Nestlé S.A. is seeking an Associate R&D Specialist System Performance to drive the capability of in-home beverage systems like Nespresso and Nescafé Dolce Gusto.

You will collaborate with Front End Innovation, Development and Industrialization teams to ensure optimal cup quality and user experience. You will apply physics, fluid mechanics and data analysis to improve machine-product-packaging interactions, leveraging modelling and digital tools, including Python and R, to accelerate learning and