Remote Senior Process Optimization Engineer

Placements24

Mossel Bay

Hybrid

ZAR 1,200,000 - 1,800,000

Full time

5 days ago
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Benefits offered by this job

Performance incentives
Fully remote work
Health and wellness benefits
Professional development budget
Global projects exposure

Job summary

Placements24 seeks a Senior Process Optimization Engineer for a fully remote, globally distributed role. You will analyze complex process data, identify inefficiencies, and implement data-driven solutions to improve yield, reduce costs, and enhance product quality in a virtual, collaborative environment.

The ideal candidate has 10+ years in process engineering with strong SPC/DoE expertise and experience with Python, R or JMP for data analysis.

Qualifications

  • Master's degree in Chemical Engineering or related quantitative field.
  • 10+ years of process engineering experience focusing on optimization and data analysis.
  • Expertise in SPC, DoE, and data analytics tools.
  • Proven track record implementing process improvements in industry.
  • Strong remote communication skills and ability to work across teams.

Responsibilities

  • Analyze process data with advanced statistics and simulations to find optimization opportunities.
  • Develop and implement strategies to improve efficiency, throughput, and yield.
  • Collaborate with site-based and operations teams to execute optimization projects and monitor impact.
  • Design and conduct experiments to validate improvements and collect performance data.
  • Develop and maintain process documentation and performance reports.
  • Stay current with new optimization technologies and apply where beneficial.

Skills

SPC
DoE
Python
R
JMP
Data analytics

Education

Master's in Chemical Engineering

Tools

Process simulation software

Job description

Placements24 seeks a Senior Process Optimization Engineer for a fully remote, globally distributed role. You will analyze complex process data, identify inefficiencies, and implement data-driven solutions to improve yield, reduce costs, and enhance product quality in a virtual, collaborative environment.

The ideal candidate has 10+ years in process engineering with strong SPC/DoE expertise and experience with Python, R or JMP for data analysis.

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