Remote Process Optimization Engineer - Specialty Polymers

Placements24; East London; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Performance bonuses

Health insurance and retirement plans

Job summary

Placements24 is seeking a Process Optimization Engineer to remotely enhance polymer production efficiency, yield, and sustainability. You will leverage data analytics, process modeling, and DOE techniques to identify bottlenecks and drive continuous improvement across manufacturing operations.

Responsibilities include SPC-based optimization, cross-functional collaboration, and developing SOPs while maintaining focus on KPIs and industry best practices.

Qualifications

• Bachelor's or master's degree in Chemical Engineering, Polymer Engineering, or related field.
• Minimum 6 years of process engineering experience focusing on optimization and continuous improvement.
• Experience with statistical analysis, data modeling, and simulation tools (Aspen Plus, MATLAB, Python).

Responsibilities

• Analyze existing production processes to identify efficiency, throughput, and cost improvements.
• Develop optimization strategies using SPC, Six Sigma, and data analytics.
• Create and maintain process models to simulate behavior and predict effects of changes.
• Lead investigations into process deviations and equipment malfunctions, applying root cause analysis and corrective actions.
• Design and execute DOE experiments to test improvements and validate operating parameters.
• Collaborate with R&D, manufacturing, and quality to implement optimized processes.
• Develop and update SOPs and training materials for optimized processes.
• Monitor KPIs and report on process performance and improvements.
• Stay updated with emerging technologies and best practices in polymer manufacturing.

Skills

Analytical skills

Problem-solving

Communication

Six Sigma (Green/Black Belt)

DOE (Design of Experiments)

Education

Bachelor's degree in Chemical Engineering

Master's degree in Chemical Engineering or Polymer Engineering

Tools

Aspen Plus

MATLAB

Python for data analysis

Job description

About the Role Our client, a leader in the development and manufacturing of advanced specialty polymers, is seeking a talented Process Optimization Engineer to join their team on a fully remote basis. This role focuses on enhancing the efficiency, yield, and sustainability of our client's polymer production processes. You will utilize advanced data analytics, process modeling, and statistical techniques to identify bottlenecks, troubleshoot issues, and implement continuous improvement strategies. This is an excellent opportunity for an experienced engineer to work autonomously, drive innovation in polymer manufacturing, and contribute significantly to the company's success from any location. You will be a key contributor to Our client's cutting-edge material science advancements.

Key Responsibilities

• Analyze existing production processes to identify areas for improvement in efficiency, throughput, and cost-effectiveness.
• Develop and implement optimization strategies using statistical process control (SPC), Six Sigma methodologies, and data analytics.
• Create and maintain process models to simulate process behavior and predict the impact of changes.
• Lead investigations into process deviations and equipment malfunctions, implementing root cause analysis and corrective actions.
• Design and execute experiments (DOE) to test process improvements and validate new operating parameters.
• Collaborate with R&D, manufacturing, and quality control teams to ensure seamless implementation of optimized processes.
• Develop and update standard operating procedures (SOPs) and training materials for optimized processes.
• Monitor key performance indicators (KPIs) and report on process performance and improvement initiatives.
• Stay current with emerging technologies and best practices in polymer manufacturing and process optimization.

Requirements

• Bachelor's or Master's degree in Chemical Engineering, Polymer Engineering, or a related field.
• A minimum of 6 years of experience in process engineering, with a strong emphasis on process optimization and continuous improvement.
• Proven expertise in statistical analysis, data modeling, and simulation tools (e.g., Aspen Plus, MATLAB, Python for data analysis).
• Experience with Six Sigma (Green or Black Belt preferred) and Design of Experiments (DOE).
• Strong understanding of polymer chemistry and manufacturing processes.
• Excellent analytical and problem-solving skills, with a keen eye for detail.
• Exceptional communication and collaboration skills, with the ability to influence stakeholders remotely.
• Proven ability to work independently, manage multiple priorities, and deliver results in a remote setting.
• Proficiency in data visualization tools is a plus.

Benefits

• This remote position offers a highly competitive salary, performance bonuses, and a flexible work environment.
• Our client provides a comprehensive benefits package including health insurance, retirement contributions, and generous paid time off.
• Opportunities for continuous learning and professional development are readily available through online courses and virtual workshops.
• This role is ideal for an independent and driven engineer seeking to contribute to innovative polymer solutions for Our client, all while enjoying the benefits of a remote work arrangement.