Process Engineer - Continuous Improvement & Data Analytics

Tokai Carbon GE LLC; Ozark (AR); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Health benefits

Vacation time

Paid holidays

Growth opportunities

Bonuses (quarterly + annual)

Education assistance

Wellness reimbursements

Job summary

Tokai Carbon GE LLC in Ozark, AR is seeking a process improvement engineer to develop and maintain knowledge of facility processes and products, evaluating them to improve quality, productivity, safety, and costs.

The role emphasizes continuous improvement, SOP development, monitoring processes, and cross-training opportunities; a 4-year engineering degree and data analytics ability are required, with Six Sigma preferred.

Qualifications

• 4-year college degree in Electrical, Chemical, Mechanical, Industrial or Materials Engineering.
• Data analyst background with some knowledge of AI applications is a plus.

Responsibilities

• Identify trends in process variations and establish a continuous improvement monitoring system.
• Develop SOPs for new process improvements and operations.
• Evaluate production processes to improve quality, productivity, safety and costs.
• Design and perform experimental process tests and summarize results.
• Monitor processes to ensure adherence to specifications.
• Provide technical guidance and interpretation of specifications to ensure quality production.

Skills

Analytical skills

Problem solving

Teamwork

Communication

Continuous improvement

Quality focus

Education

4-year engineering degree (Electrical, Chemical, Mechanical, Industrial or Materials)

Data analyst background with AI knowledge a plus

Job description

Tokai Carbon GE LLC in Ozark, AR is seeking a process improvement engineer to develop and maintain knowledge of facility processes and products, evaluating them to improve quality, productivity, safety, and costs.

The role emphasizes continuous improvement, SOP development, monitoring processes, and cross-training opportunities; a 4-year engineering degree and data analytics ability are required, with Six Sigma preferred.