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Internship Statistical Process Control Jobs in New Jersey

Process Engineer

Morristown, NJ · On-site

$95 - $125/hr

Knowledge of statistical process control, root cause analysis, and data historians * ASQ certification as a Six Sigma Green Belt, Six Sigma Black Belt, or Quality Engineer preferred. * Excellent ...

Process Engineer I

Plainsboro, NJ · On-site

$62K - $85K/yr

Conduct statistical process control (as necessary) analysis and trending of existing process parameters, process inputs and outputs, improve manufacturing yields, reduce manufacturing scrap, and ...

Process Engineer I

Plainsboro, NJ · On-site

$62K - $85K/yr

Conduct statistical process control (as necessary) analysis and trending of existing process parameters, process inputs and outputs, improve manufacturing yields, reduce manufacturing scrap, and ...

SMT Process Engineer

Newark, NJ · On-site

$95 - $125/hr

Analyze manufacturing data and apply Statistical Process Control (SPC) and other data-driven methodologies to improve process capability and product reliability.Drive continuous improvement ...

Optical Process Engineer

Bridgewater, NJ · On-site

$150K - $190K/yr

He/she must also develop statistical process control tools to monitor performance of the products in their Manufacturing phases and lead corrective action implementations for high yield manufacturing.

Work with the PCS (process control systems) program manager to drive SPC (Statistical process control) culture at the site. * Enable new product introductions with the highest technical quality by ...

Project Engineer III

Rahway, NJ · On-site

$159K - $167K/yr

Apply statistical process control (SPC), capability analysis, and other appropriate methods * Create visualizations and summary metrics to support assessment outputs * Contribute to continuous ...

Familiarity with statistical process control (SPC) * Knowledge of ERP/MRP systems or digital quality management tools. * Prior experience completing FAIRs or PPAPs. Computer Skills Necessary ...

Familiarity with statistical process control (SPC) * Knowledge of ERP/MRP systems or digital quality management tools. * Prior experience completing FAIRs or PPAPs. Computer Skills Necessary ...

Familiarity with statistical process control (SPC) * Knowledge of ERP/MRP systems or digital quality management tools. * Prior experience completing FAIRs or PPAPs. Computer Skills Necessary ...

Familiarity with statistical process control (SPC) * Knowledge of ERP/MRP systems or digital quality management tools. * Prior experience completing FAIRs or PPAPs. Computer Skills Necessary ...

Showing results 21-40

Internship Statistical Process Control information

What is an internship in statistical process control?

An Internship in Statistical Process Control (SPC) is a temporary, hands-on work experience where interns learn to monitor and improve manufacturing or business processes using statistical methods. Interns typically collect data, analyze process performance, and help identify areas for improvement using SPC tools like control charts and process capability analysis. This internship is valuable for students or recent graduates interested in quality assurance, process engineering, or data analysis, providing practical exposure to real-world applications of statistics in industry.

What types of projects can I expect to work on during an internship in statistical process control?

As an intern in Statistical Process Control (SPC), you will typically assist with collecting and analyzing production data to monitor and improve manufacturing processes. Common projects include implementing control charts, conducting process capability studies, and collaborating with cross-functional teams to identify process variations and recommend improvements. You may also be involved in preparing reports, presenting findings to supervisors or engineers, and supporting ongoing quality assurance initiatives. These experiences provide valuable hands-on exposure to real-world problem-solving and teamwork within a manufacturing or quality-focused environment.

What are the key skills and qualifications needed to thrive as an internship in statistical process control?

To thrive in an Internship for Statistical Process Control, you need a solid understanding of statistics, data analysis, and quality management principles, typically gained through coursework in engineering or a related field. Familiarity with statistical software such as Minitab, Excel, or JMP, as well as knowledge of SPC charts and quality systems, is commonly expected. Attention to detail, problem-solving skills, and effective communication enable interns to analyze data accurately and work collaboratively within teams. These skills are vital for identifying process improvements, ensuring product quality, and supporting efficient manufacturing operations.

What is the difference between Internship Statistical Process Control vs Quality Control Intern?

AspectInternship Statistical Process ControlQuality Control Intern
CertificationsBasic knowledge of SPC tools, statistical methodsUnderstanding of quality standards, inspection techniques
Work EnvironmentManufacturing, production lines, data analysisInspection labs, production facilities, quality departments
Industry UsageManufacturing, automotive, electronicsManufacturing, consumer goods, pharmaceuticals

Internship Statistical Process Control focuses on analyzing data to monitor and improve manufacturing processes using statistical methods. In contrast, a Quality Control Intern primarily inspects products and ensures quality standards are met. Both roles are essential in manufacturing industries but differ in their focus—SPC emphasizes data analysis and process improvement, while QC emphasizes product inspection and compliance.

What are the most commonly searched types of Statistical Process Control jobs in New Jersey?

The most popular types of Statistical Process Control jobs in New Jersey are:

What are popular job titles related to Internship Statistical Process Control jobs in New Jersey?

For Internship Statistical Process Control jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Internship Statistical Process Control jobs in New Jersey look for?

The top searched job categories for Internship Statistical Process Control jobs in New Jersey are:

What cities in New Jersey are hiring for Internship Statistical Process Control jobs?

Cities in New Jersey with the most Internship Statistical Process Control job openings:

Process Engineer

XSYS Global

Morristown, NJ • On-site

$95 - $125/hr

Other

Posted 5 days ago


Key responsibilities

  • Design, execute, and evaluate process improvement initiatives focused on safety, quality, throughput, yield, waste reduction, and cost optimization.

  • Collaborate with vendors to specify, source, purchase, install, qualify, and optimize new manufacturing equipment and technologies.

  • Lead root cause investigations and corrective action efforts for process deviations, quality issues, safety incidents, and manufacturing inefficiencies.


Job description

XSYS is a global provider of integrated solutions for the flexographic, letterpress and pre-press printing markets, offering photopolymer plate processing systems, sleeves/adapters, and complementary workflow technologies. With a strong focus on customer success, we combine deep technical expertise with service and support to deliver consistent quality and productivity for printers, converters, and trade shops.

Process EngineerMission of the role & responsibilities

The Process engineer is responsible for leading the development, standardization, and optimization of manufacturing processes within polymer extrusion, compounding, and coatingf operations. This role establishes processing standards, operating methods, and best practices to ensure safe, efficient, and repeatable production. Working closely with operations, R&D, Quality, Maintenance, and Supply Chain teams, the process Engineer drives operational excellence, supports new product development and commercialization, and identifies continuous improvement opportunities that enhance productivity, quality, safety and cost performance.

Responsibilities:

  • Design, execute, and evaluate process improvement initiatives focused on safety, quality, throughput, yield, waste reduction, and cost optimization.
  • Develop economic justifications for capital expenditure (CapEx) projects, including return-on-investment analyses, and lead project implementation from concept through commissioning.
  • Collaborate with vendors to specify, source, purchase, install, qualify, and optimize new manufacturing equipment and technologies.
  • Establish and maintain process control parameters, operating windows, and troubleshooting methodologies to ensure consistent product quality and manufacturing performance.
  • Support new product development, process scale-up, and commercialization activities through close collaboration with R&D and Operations teams.
  • Responsible for creating, updating, and maintaining process documentation, standard operating procedures (SOPs), work instructions, and records required under the plant's ISO quality management system.
  • Lead root cause investigations and corrective action efforts for process deviations, quality issues, safety incidents, and manufacturing inefficiencies.
  • Provide technical guidance and training to production, maintenance, and quality personnel on process-related best practices and continuous improvement methodologies.
  • Monitor process performance and regularly communicate project progress, risks, and outcomes through formal progress updates and final project reports.
  • Support compliance with all environmental, health, safety, quality, and regulatory requirements while promoting a culture of operational excellence and continuous improvement.
Required qualifications
  • 5 to 10 years previous Process Engineering experience in polymer extrusion.
  • Experience with multiple feed compounding extrusion is preferred.
  • Experience with coating or sheet extrusion is preferred.
  • B.S. in Polymer, Mechanical, Manufacturing or Industrial Engineering. Equivalent experience will be considered.
  • Knowledge of statistical process control, root cause analysis, and data historians
  • ASQ certification as a Six Sigma Green Belt, Six Sigma Black Belt, or Quality Engineer preferred.
  • Excellent negotiation and interpersonal skills. Must be able to effectively communicate from the shop floor operator to the VP.
  • Must have the ability to stay organized while handling multiple priorities.
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