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dsm-firmenich · 1 day ago

Process Engineer - Princeton, NJ

Princeton, NJ

Full-time

Onsite

Mid Level

$95K/yr - $105K/yr

4+ years exp

dsm-firmenich is a global company focused on health, nutrition, and beauty, dedicated to bringing progress to life. They are seeking a Process Engineer to optimize production processes, conduct root cause analysis, and implement solutions to reduce losses while working closely with cross-functional teams.

BeautyChemicalHealth CareManufacturingNutrition

Responsibilities

Being the primary point of contact with the site's continuous improvement team for your area

Taking ownership of the process control system, ensuring its proper functioning and identifying opportunities for improvement

Participating in daily operational meetings and utilizing data-driven insights to eliminate losses, particularly in the areas of quality (non-conformities), production reliability, and continuous improvement projects

Developing and executing plans to eliminate losses and address capacity/productivity gaps, leveraging the site's continuous improvement plan as a guide

Compiling and interpreting data from your areas to prioritize loss elimination opportunities, utilizing advanced tools such as Loss Tree and Loss Allocation to create both current and future state loss trees

Providing support for the implementation of new products and projects, leveraging your technical expertise and knowledge to ensure successful outcomes

Qualification

Process EngineeringData AnalysisLean Six SigmaSAPExcelContinuous ImprovementTPMCommunication SkillsTeam Collaboration

Required

Degree in Engineering preferably: Chemical, Mechanical, Manufacturing, Food, Electrical, Control and Automation, Industrial, etc

4-6 years of professional experience in process engineering, preferably in a manufacturing environment

Proficiency in SAP is a plus

Strong data analysis skills, including proficiency in Excel and visualization tools. We are looking for someone who can effectively interpret and communicate complex data insights to drive decision-making

A background in continuous improvement, with experience in Lean Six Sigma methodologies is a strong plus. We value a data-driven approach to problem-solving

Knowledge of TPM (Total Production Maintenance) & other continuous improvement methodologies