Glass Core Technology Integration Process Data Engineer

$80,000 - $120,000/Yr

Samtec - New Albany, IN

Full-time - Mid Level

New Albany, IN

501-1,000 employees

Electrical Equipment, Appliance, and Component Manufacturing

About the position

Samtec is 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. You will utilize advanced data analysis techniques to monitor and optimize manufacturing process yields, identifying opportunities for improvement. As an SFC champion, you will drive module actions to improve chart Cpk and identify root causes for shifts in data away from targets. You will be responsible for delivering key data milestones within agreed-upon timelines for ongoing projects and presenting current module performance in monthly SFC cross-module meetings with the management team. Your role will also involve conducting in-depth data-driven investigations into process variations, root causes of defects, and opportunities for yield enhancement. You will develop predictive models using machine learning and statistical methods to forecast process outcomes and optimize parameters. Collaboration with cross-functional teams including Operations, Process Engineering, Quality Assurance, and Product Development will be essential to implement data-driven solutions. Additionally, you will design and implement data visualization tools, dashboards, and reports to communicate findings and facilitate decision-making. Leading initiatives to integrate IoT and sensor data for real-time monitoring and predictive maintenance in manufacturing processes will also be part of your responsibilities. Staying abreast of industry trends and advancements in data science and manufacturing technology will enable you to propose and implement innovative solutions.

Responsibilities

• Utilize advanced data analysis techniques to monitor and optimize manufacturing process yields, identifying opportunities for improvement.
• Act as SFC champion to drive module actions 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.
• Present current module performance in monthly SFC cross-module meetings with the 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.

Requirements

• Bachelor's degree or higher in Data Science, Statistics, Engineering, Manufacturing, or related fields.
• 3+ years of experience using 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.

Nice-to-haves

• 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

• 3-week Vacation
• 1-week Personal Time
• 5% company match with 401k employee contribution
• Bi-weekly 7% profit sharing
• Robust medical/dental benefits with one medical plan with no bi-weekly cost to employee
• Company bonus program
• Company paid EAP for employee and all members of employee's household
• Employer will assist with relocation costs