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Your role will involve applying principles of material flow, lean manufacturing, Six Sigma, and data analytics to improve the efficiency of our production systems, reduce waste, and ensure that all systems are cost-effective, safe, and sustainable.</p>\n<p>Responsibilities:</p>\n<ul>\n<li><p>Analyze and optimize material flow across manufacturing processes to ensure smooth, efficient production of autonomous surface vessels.</p>\n</li>\n<li><p>Implement lean manufacturing principles and Six Sigma methodologies to reduce waste, improve cycle times, and increase throughput.</p>\n</li>\n<li><p>Conduct data analysis and generate actionable insights to guide process improvements and decision-making.</p>\n</li>\n<li><p>Develop and refine production workflows, ensuring that materials, components, and labor are utilized efficiently and effectively.</p>\n</li>\n<li><p>Support the development and implementation of performance metrics, KPIs, and other tools to track and improve production efficiency.</p>\n</li>\n<li><p>Collaborate with cross-functional teams (engineering, design, operations) to ensure that new products or changes to existing products are optimized for manufacturability.</p>\n</li>\n<li><p>Identify and address bottlenecks, quality issues, and other inefficiencies in the production process.</p>\n</li>\n<li><p>Assist in capacity planning and resource allocation to meet production goals.</p>\n</li>\n<li><p>Provide guidance and training on lean, Six Sigma, and data analytics techniques to team members.</p>\n</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li><p>Bachelor’s degree in Industrial Engineering or a related field.</p>\n</li>\n<li><p>At least 3 years of experience in industrial engineering, with a strong background in material flow, lean manufacturing, Six Sigma, and data analytics.</p>\n</li>\n<li><p>Proficiency in data analysis tools such as Excel, Minitab, or other statistical software.</p>\n</li>\n<li><p>Strong understanding of manufacturing 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