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Freelance Statistical Process Control Jobs in Arizona

Heraeus Medical LLC

Process Engineer

Chandler, AZ · On-site

Apply statistical process control (SPC) and data analysis tools to monitor and improve process capability. * Conduct root cause analyses (RCA) using structured methodologies (e.g., 8D, Fishbone, FMEA ...

Heraeus

Process Engineer

Chandler, AZ · On-site

Apply statistical process control (SPC) and data analysis tools to monitor and improve process capability. * Conduct root cause analyses (RCA) using structured methodologies (e.g., 8D, Fishbone, FMEA ...

TSMC

Quality Engineering Technician - Contract

Phoenix, AZ

$22.25 - $29.75/hr

Monitoring, analysis, applying lean six sigma statistics process control methods to establish and sustain a robust manufacturing process control, and * Standardizing, and documenting control models ...

Fujifilm

Associate Process Engineer

Mesa, AZ

Analyze statistical process control performance, OOC's and trend alerts. Requires use of Excel, JMP or other statistical software. * Lead Process Engineering Development * Direct and oversee process ...

Fujifilm

Associate Process Engineer

Mesa, AZ · On-site

Analyze statistical process control performance, OOC's and trend alerts. Requires use of Excel, JMP or other statistical software. * Lead Process Engineering Development * Direct and oversee process ...

Rain Bird Corporation

Sr. Quality Engineer

Tucson, AZ

$83K - $113K/yr

Manages all line inspections and Statistical Process Control activities. * Provide quality engineering expertise to assure compliance to specifications. * Leads activities to analyze quality ...

Rain Bird Corporation

Sr. Quality Engineer

Tucson, AZ · On-site

$83K - $113K/yr

Manages all line inspections and Statistical Process Control activities. * Provide quality engineering expertise to assure compliance to specifications. * Leads activities to analyze quality ...

Rain Bird Corporation

Sr. Quality Engineer

Tucson, AZ

$83K - $113K/yr

Manages all line inspections and Statistical Process Control activities. * Provide quality engineering expertise to assure compliance to specifications. * Leads activities to analyze quality ...

Fujifilm

Associate Process Engineer

Mesa, AZ

Analyze statistical process control performance, OOC's and trend alerts. Requires use of Excel, JMP or other statistical software. * Lead Process Engineering Development * Direct and oversee process ...

TSMC

Mask Process/Equipment Engineer

Phoenix, AZ · On-site

Applying statistics process control methods to establish and sustain a robust mask process flow. As an EE : Installing, qualifying and sustaining manufacturing equipment to expand capacity with ...

TSMC

Mask Process/Equipment Engineer

Phoenix, AZ

Applying statistics process control methods to establish and sustain a robust mask process flow. As an EE : Installing, qualifying and sustaining manufacturing equipment to expand capacity with ...

Intel

Packaging Module Development Engineer

Phoenix, AZ · On-site

... Statistical Process Control (SPC) and Design of Experiments (DOE). - Manage dynamic technical projects to meet critical product development timelines. - Provide sustaining support for equipment ...

TSMC

Quality Engineering Technician - Contract

Phoenix, AZ · On-site

$22.25 - $29.75/hr

Analyze and present quality control data to the engineering team to support informed decision-making. * Assist in the implementation and maintenance of Statistical Process Controls (SPC) and generate ...

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Freelance Statistical Process Control information

What are some common challenges faced by freelance professionals working in Statistical Process Control, and how can they be addressed?

Freelance Statistical Process Control (SPC) professionals often encounter challenges such as accessing reliable data, ensuring clear communication with clients, and adapting to diverse industry standards. Since freelancers typically work remotely, establishing effective channels for data sharing and regular updates is crucial. Building strong client relationships and clarifying expectations at the outset can help prevent misunderstandings. Additionally, staying current with various SPC software and methodologies allows freelancers to adapt quickly to different project requirements and deliver valuable insights.

What is the difference between Freelance Statistical Process Control vs Freelance Quality Assurance Specialist?

AspectFreelance Statistical Process ControlFreelance Quality Assurance Specialist
CertificationsSix Sigma, SPC certificationsISO, Six Sigma, QA certifications
Work EnvironmentManufacturing, production linesProduct testing, compliance audits
Industry UsageManufacturing, automotive, electronicsHealthcare, manufacturing, software

Freelance Statistical Process Control focuses on analyzing manufacturing processes to ensure quality and efficiency using statistical methods. Freelance Quality Assurance Specialists oversee product quality, compliance, and testing. While both roles aim to improve product quality, SPC specialists primarily analyze process data, whereas QA specialists focus on overall quality management and standards compliance.

What is freelance statistical process control?

Freelance statistical process control (SPC) involves independent professionals who use statistical methods to monitor, control, and improve production or business processes for clients. These freelancers analyze data, create control charts, and help organizations identify and reduce process variation to ensure consistent quality. By working on a contract basis, they provide flexibility and specialized expertise to companies seeking to optimize their processes without hiring full-time staff.

What are the key skills and qualifications needed to thrive as a Freelance Statistical Process Control specialist, and why are they important?

To thrive as a Freelance Statistical Process Control (SPC) specialist, you need a strong background in statistics, quality management, and process analysis, often supported by a degree in engineering or a related field. Familiarity with SPC software tools such as Minitab or JMP, and certifications like Six Sigma or ASQ Certified Quality Engineer, are typically required. Excellent problem-solving abilities, attention to detail, and strong communication skills help you effectively analyze data and convey insights to clients. These skills ensure that you can drive process improvements, maintain product quality, and provide valuable consultancy to organizations across industries.
What are the most commonly searched types of Statistical Process Control jobs in Arizona? The most popular types of Statistical Process Control jobs in Arizona are:
What cities in Arizona are hiring for Freelance Statistical Process Control jobs? Cities in Arizona with the most Freelance Statistical Process Control job openings:
Freelance Statistical Process Control jobs near you
Ocotillo Technology Fabrication Process Integration and Yield Engineer

Ocotillo Technology Fabrication Process Integration and Yield Engineer

Intel

Phoenix, AZ • On-site

$103K - $198K/yr

Full-time

Medical, Retirement, PTO

Posted 25 days ago

Key responsibilities

  • Perform detailed data analysis using various statistical and data mining tools to identify the root cause of defect and yield issues.

  • Identify sources of defects or yield impacts and recommend or lead corrective actions or fixes.

  • Lead or participate in continuous improvement projects on products and processes for improved performance.

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

11th of 141 rated electronics manufacturers

Job description

Job Details:Job Description: 

Job Description

Intel is looking for highly motivated individuals with strong technical background and capabilities to sustain, ramp, and transfer all technology nodes in Arizona. They will drive rapid continuous improvements in safety, quality, yield, reliability, cost, process stability/capability, and productivity while maintaining rigorous quality control.

The role of a Process Integration and Yield Engineer is to deliver high quality analytical insights that influences / directs the factory resources to minimize defects, control process parameters, and improve overall factory yields. All improvements and sustaining work is done in close collaboration and partnership with the process to improve the capability of the tools and processes.

Responsibilities may include, but are not limited to:

  • Performing detailed data analysis using various statistical/data mining tools to identify the root cause of defect and yield issues.
  • Identifying exclusionary or baseline sources of defects or yield impacts and recommending/leading corrective actions/fixes.
  • Lead/participate continuous improvement projects on products and processes for improved performance.
  • Provide expertise on process flow segments.
  • Lead/participate in multi-area problem solving teams to provide expertise to troubleshoot complex yield problems.

The ideal candidate should exhibit the following behavioral traits:

  • Solid analytical skills and a passion for data analysis and problem solving.
  • Organizational skills with attention to detail.
  • Excellent interpersonal skills with the ability to work with people at all levels.
  • Communication and presentation skills to influence a wide variety of groups at all levels.
  • Demonstrate excellent teamwork and leadership skills, demonstrated problem solving and prioritization skills, and driving high performance maintenance goals for the group.
Qualifications:

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

  • BSE degree in Electrical Engineering, Microelectronics Engineering, Material Science Engineering, Chemical Engineering, Mechanical Engineering, Optical Engineering, Statistics/Data Science, Chemistry, Physics or related field of study with 4+ years of experience, or Master's degree with 3+ years of experience or a Ph.D. in the above labeled fields.
  • Depending on the degree level obtained, the mentioned years of experience will be needed in each of the below areas:
    • Knowledge of Semiconductor fabrication and processing techniques (Lithography, Etch, CMP, Thin Films, Plating, etc.)
    • Statistical Process Control and Design of experiments (DOE) principles, Statistical Data Analysis (Examples include: JMP/JSL, Python, SQL)

Preferred Qualifications:

  • Programing Experience in JMP/JSL, Python, R and SQL
  • 2+ yrs of New Technology startup experience
  • 5+ years of advanced node Foundry experience in Process/Yield Engineering.
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Arizona, PhoenixAdditional Locations:Business group:Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $103,730.00-198,820.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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