Remote Lean Six Sigma Process Improvement Engineer

Placements24; Willows (CA); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Remote-friendly workplace

Professional development opportunities

Job summary

Placements24 seeks a Process Improvement Engineer to join a forward-thinking team working remotely. You will analyze workflows, identify bottlenecks, and implement data-driven solutions to enhance productivity and reduce waste across the organization. The role focuses on Lean and Six Sigma methodologies to optimize production processes.

The ideal candidate is analytical, results-driven, and able to lead cross-functional teams while operating autonomously from a remote location.

Qualifications

• Bachelor's degree in Industrial Engineering, Mechanical Engineering, or related field.
• Experience in process improvement, Lean Manufacturing, or Six Sigma.
• Strong analytical and data-driven problem-solving abilities.
• Excellent project management and leadership skills.
• Proficiency with process mapping tools and data analysis software.
• Ability to work effectively and autonomously from a remote location.

Responsibilities

• Analyze production processes to identify inefficiencies and bottlenecks using Lean principles.
• Develop strategies for process optimization, waste reduction, and cost savings.
• Use data analytics to measure effectiveness of changes.
• Lead cross-functional continuous improvement initiatives and projects.
• Create and maintain process documentation, SOPs, and training materials.
• Stay updated on industry best practices and automation trends.

Skills

Analytical thinking

Data-driven

Project management

Team leadership

Remote work

Education

Bachelor's degree in Industrial Engineering or Mechanical Engineering

Tools

Process mapping tools

Data analysis software

Job description

Placements24 seeks a Process Improvement Engineer to join a forward-thinking team working remotely. You will analyze workflows, identify bottlenecks, and implement data-driven solutions to enhance productivity and reduce waste across the organization. The role focuses on Lean and Six Sigma methodologies to optimize production processes.

The ideal candidate is analytical, results-driven, and able to lead cross-functional teams while operating autonomously from a remote location.