Remote Process Optimization Engineer — Data-Driven Chem Eng

Placements24; United States; Remote; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Retirement plan contributions

Paid time off

Fully remote work

Job summary

Placements24 is seeking a Process Optimization Engineer for a fully remote role supporting chemical manufacturing across multiple sites. You will analyze data, design experiments, and implement improvements to yield, cycle times, and waste reduction.

Minimum Bachelor's in Chemical Engineering with 5+ years in process engineering, strong statistics, and DOE experience. Proficiency in Minitab/JMP and process simulation is required.

Qualifications

• Bachelor's degree in Chemical Engineering or related field.
• 5+ years of process engineering experience focusing on optimization.
• Strong analytical and statistical skills with data interpretation.
• Experience with DOE methodologies and DOE-driven experiments.
• Proficiency in Minitab, JMP, and process simulation tools.
• Excellent remote-work communication and time management.

Responsibilities

• Analyze process data to pinpoint inefficiencies and bottlenecks.
• Develop data-driven strategies to improve yield, cycle times and waste.
• Design and conduct DOE experiments to test hypotheses.
• Collaborate with site-based teams to implement optimized processes.
• Develop process models and simulation tools for performance analysis.
• Prepare detailed reports and present findings with actionable plans.
• Monitor KPIs and sustain process improvements.
• Stay updated on advances in process optimization methods.

Skills

DOE (Design of Experiments)

Statistical analysis

Data-driven optimization

Remote work

Problem solving

Communication

Education

Bachelor's degree in Chemical Engineering

Master's degree preferred

Tools

Minitab

JMP

Process simulation tools

Job description

Placements24 is seeking a Process Optimization Engineer for a fully remote role supporting chemical manufacturing across multiple sites. You will analyze data, design experiments, and implement improvements to yield, cycle times, and waste reduction.

Minimum Bachelor's in Chemical Engineering with 5+ years in process engineering, strong statistics, and DOE experience. Proficiency in Minitab/JMP and process simulation is required.