Integration Data Process Engineer - Manufacturing Optimization

Description

Position at Samtec, Inc

Company Overview:
Founded in 1976, Samtec is a leading global manufacturer of electronic interconnect solutions, generating $950 million in annual revenue. Our extensive product portfolio includes High-Speed Board-to-Board, High-Speed Cables, Optics for Mid-Board and Panel, Precision RF, Flexible Stacking, and Micro/Rugged components and cables. Samtec Technology Centers drive innovation to optimize system performance and cost across all interconnect points, supported by a presence in 40+ international locations and products distributed in over 125 countries, ensuring exceptional customer service worldwide.

Location: Samtec Headquarters, New Albany, IN

Position: Integration Data Process Engineer - Manufacturing Optimization

Summary/Objective:
We are seeking a proactive and analytical Integration Data Process Engineer with expertise in manufacturing processes and solid statistics and programming skills to join our team. In this role, you will collaborate closely with process engineers to leverage data analytics and drive continuous improvement initiatives aimed at enhancing process yields, cost efficiency, and overall operational effectiveness.

Essential Functions/Responsibilities:

• Utilize advanced data analysis techniques to monitor and optimize manufacturing process yields, identifying opportunities for improvement.
• SFC champion to drive module to create action items to improve chart Cpk and identify root causes for shifts in data away from targets
• Deliver key data milestones within agreed upon timelines for ongoing projects.
• Report current module performance in monthly SFC cross-module meetings with management team
• Conduct in-depth data-driven investigations into process variations, root causes of defects, and opportunities for yield enhancement.
• Develop predictive models using machine learning and statistical methods to forecast process outcomes and optimize parameters.
• Collaborate with cross-functional teams including Operations, Process Engineering, Quality Assurance, and Product Development to implement data-driven solutions.
• Design and implement data visualization tools, dashboards, and reports to communicate findings and facilitate decision-making.
• Lead initiatives to integrate IoT and sensor data for real-time monitoring and predictive maintenance in manufacturing processes.
• Stay abreast of industry trends and advancements in data science and manufacturing technology to propose and implement innovative solutions.

Required Experience:

• Bachelor’s degree or higher in Data Science, Statistics, Engineering, Manufacturing, or related fields.
• 3+ years of experience applying data science techniques in a manufacturing environment, with a strong understanding of manufacturing processes and equipment.
• Proficiency in programming languages such as Python, R, or similar, and experience with data manipulation and analysis tools (e.g., SQL, Pandas, NumPy).
• Hands-on experience with machine learning, statistical modeling, and predictive analytics.
• Demonstrated ability to work independently and collaboratively in a fast-paced environment, managing multiple projects simultaneously.

Preferred Skills:

• Experience with big data technologies and distributed computing (e.g., Hadoop, Spark).
• Knowledge of Six Sigma methodologies and experience in process improvement projects.
• Familiarity with manufacturing standards and regulations (e.g., ISO, IPC).

Benefits:
We offer a competitive compensation package, comprehensive benefits, and opportunities for professional development and growth within a dynamic and innovative work environment.

SAMTEC, Inc. is an Equal Opportunity Employer and committed to creating a diverse environment. All employment decisions at Samtec are based in business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, pregnancy or parental status, age, disability, sexual orientation, gender and/or gender identity/expression, marital status, past or present military service, family medical history or genetic information, or any other status protected by applicable laws.