Chemical Engineer-Digital Plant Manager

Merck KGaA Darmstadt Germany - Dallas, TX

Full-time

Dallas, TX

Chemical Manufacturing

About the position

The Digital Plant Manager (DPM) at EMD Electronics is a key role focused on enhancing operational efficiency and process improvement within the manufacturing environment through data analytics. This position involves applying advanced statistical methods, machine learning, and predictive modeling to solve complex business challenges, improve product quality, and reduce costs. The DPM will lead data-driven initiatives and collaborate with cross-functional teams to optimize plant performance.

Responsibilities

• Plan and lead the development of data analytics techniques, methodologies, and solutions within the manufacturing environment.
• Apply statistical, machine learning, and other modeling methods to extract insights from complex manufacturing data.
• Collaborate with cross-functional teams to identify opportunities for process optimization and efficiency improvements.
• Develop and implement data-driven strategies to enhance overall plant performance and productivity.
• Lead the design and implementation of data analytics projects, including data collection, analysis, and interpretation.
• Work closely with the data engineering and data science teams to align data analytics initiatives with business objectives and best practices.
• Serve as lead trainer for site staff to accelerate adoption of digital platform/UPTIMIZE tools.

Requirements

• Bachelor's in Chemical Engineering, Material Science, or related field with 5+ years of relevant experience.
• Proven experience with industrial applications of statistics for process control/optimization with quantifiable business impact.
• Proficiency in multivariate statistical analysis and applied machine learning.
• Proficiency with SQL and Python, including PySpark, pandas, and scikit-learn.
• Excellent communication (English) and leadership skills with a demonstrated ability to drive data-driven decision-making at all levels of the organization.
• Prior experience in a manufacturing or production environment is critical.

Nice-to-haves

• Advanced degree in Chemical Engineering with 10+ years of relevant experience.
• Experienced track record of using data analytics to perform root cause analysis, improve product quality, increase operational efficiency, reduce manufacturing conversion costs, and eliminate scrap and rework.
• Experience working with enterprise data analytics platforms, particularly AWS, Tableau, and Palantir Foundry.
• Demonstrated experience managing scope, cost, and timeline for large-scale projects.

Benefits

• Diversity and inclusion initiatives
• Opportunities for professional development and growth
• Collaborative work environment
• Commitment to employee well-being and empowerment