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Internship Statistical Process Control Jobs in Virginia

Quality Control Engineer

Chester, VA · On-site

$69K - $103K/yr

Support Quality Control Laboratory operations, including review and validation of analytical testing and documentation. * Assist in the implementation and monitoring of Statistical Process Control ...

Quality Control Engineer

Chester, VA · On-site

$69K - $103K/yr

Support Quality Control Laboratory operations, including review and validation of analytical testing and documentation. * Assist in the implementation and monitoring of Statistical Process Control ...

Working knowledge of Statistical Process Control (SPC) techniques * Excellent communication skills across all levels of the organization * Ability to work any shift and travel between departments or ...

Perform statistical evaluations of quality assurance data using exploratory data analysis, regression, mixed models' analysis, and statistical process control techniques within a manufacturing ...

Statistician

Lynchburg, VA · On-site

$66K - $101K/yr

Perform statistical evaluations of quality assurance data using exploratory data analysis, regression, mixed models' analysis, and statistical process control techniques within a manufacturing ...

Statistician

Lynchburg, VA · On-site

$66K - $101K/yr

Perform statistical evaluations of quality assurance data using exploratory data analysis, regression, mixed models' analysis, and statistical process control techniques within a manufacturing ...

Industrial Engineer

Chesapeake, VA · On-site

$68K - $91K/yr

Employ tools such as Time Studies, Value Stream Mapping (VSM), and Statistical Process Control (SPC) to meticulously analyze current manufacturing processes, identifying opportunities for improvement ...

Apply statistical process control techniques and quality methodologies to support process improvements * Support investigations into product non-conformances and manufacturing issues What You'll ...

Proficient use of Microsoft Office suite (Excel, PowerPoint, Word strong knowledge of lean manufacturing, Six Sigma, and statistical process control (SPC). experience with validation protocols (IQ/OQ ...

Proficient use of Microsoft Office suite (Excel, PowerPoint, Word * strong knowledge of lean manufacturing, Six Sigma, and statistical process control (SPC). * experience with validation protocols ...

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Internship Statistical Process Control information

What is the role of statistical process control?

In an internship for Statistical Process Control, the role involves monitoring and analyzing manufacturing or business processes using statistical methods to ensure quality and consistency. It includes collecting data, creating control charts, and identifying variations to maintain process stability and improve efficiency.

What are the key skills and qualifications needed to thrive as an Internship Statistical Process Control, and why are they important?

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 are the 7 tools of SPC?

The 7 tools of Statistical Process Control (SPC) are used to analyze and improve processes, including the Pareto chart, cause-and-effect diagram, control chart, histogram, scatter diagram, flowchart, and check sheet. These tools help quality professionals and interns identify variations, root causes, and process improvements in manufacturing or service environments.

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 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 is a statistical process control job description?

A Statistical Process Control (SPC) job involves monitoring and analyzing manufacturing or business processes using statistical methods to ensure quality and consistency. Responsibilities include collecting data, creating control charts, identifying process variations, and implementing improvements, often requiring knowledge of statistical software and quality standards like Six Sigma. The role aims to reduce defects and improve process efficiency.

What jobs can I do with statistics?

With a background in statistics, you can pursue roles such as Data Analyst, Quality Control Analyst, Statistical Consultant, or Operations Analyst. These jobs often require skills in data analysis, statistical software, and understanding of process control, especially in industries like manufacturing, healthcare, or finance.
What are the most commonly searched types of Statistical Process Control jobs in Virginia? The most popular types of Statistical Process Control jobs in Virginia are:
What are popular job titles related to Internship Statistical Process Control jobs in Virginia? For Internship Statistical Process Control jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Internship Statistical Process Control jobs? Cities in Virginia with the most Internship Statistical Process Control job openings:
Manufacturing Process Engineer

Manufacturing Process Engineer

Prestige Consumer Healthcare Inc.

Lynchburg, VA • On-site

$67K/yr

Full-time

Re-posted 23 days ago


Job description

OCCUPATIONAL SUMMARY:
This role will be responsible for driving production losses to zero and delivering breakthrough results in the assigned area as well as lead continuous improvement activities through detailed data analysis and root cause problem solving tools.
Salary Range: Starting at $67,000
ACCOUNTABILITES:
  • Ensure processes are being improved for Safety, Compliance and Operational Efficiency.
  • Ensure assigned tasks are being completed by due date.
  • Maintain records of work completed and in process as well as results.
  • Develop plans for Continuous Improvement Actions.
  • Lead activities to implement Continuous Improvement activities.
RESPONSIBILITIES:
  • Conduct Root Cause Analysis to identify, prioritize and eliminate process losses.
  • Apply process improvement tools including statistical process control, process mapping, control charts, design of experiments, Lean methodology and process capability studies.
  • Interact with cross functional partners and Supplier Quality Engineer's to ensure effective implementation of new products.
  • Own change management and validation processes for a designated process. Update process control strategies and operating procedures as changes occur.
  • Develop standards and train line technicians for continuous improvement at the line.
  • Support Quality department in establishing, implementing, and maintaining Quality Management System.
  • Drive cost savings through improved productivity, material utilization improvements and by optimizing labor.
  • Develop innovative process equipment solutions to deliver superior consumer driven product designs.
  • Perform other duties as required.

QUALIFICATIONS:
  • B.S. Degree in an Engineering Discipline
  • 0 to 3+ years of experience in a fast-paced manufacturing environment, with a background in root cause problem solving, Lean Manufacturing practices, and continuous improvement.
  • Working knowledge of a wide variety of manufacturing processes and mathematical/engineering methods to solve problems in a manufacturing environment
  • Analytical problem solving and information gathering skills (Key Performance Indicator reporting, gap analysis, Kaizen, Loss Tree, cause-and-effect diagrams, 5-whys, etc.)
  • Lean tools (i.e poka yoke / mistake proofing / pFMEA, SMED, Standard work, value stream mapping, TPM, 5S, continuous flow, visual factory, pull systems / Kanban, etc.)
  • Working knowledge of Equipment and Process Validation, statistical sampling methods and cGMP (current Good Manufacturing Practices)
  • Excellent computer and communication skills