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Statistical engineer vs packaging engineer

The differences between statistical engineers and packaging engineers can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a statistical engineer and a packaging engineer. Additionally, a packaging engineer has an average salary of $88,452, which is higher than the $85,078 average annual salary of a statistical engineer.

The top three skills for a statistical engineer include measurement system analysis, minitab and SQL. The most important skills for a packaging engineer are CAD, project management, and solidworks.

Statistical engineer vs packaging engineer overview

Statistical EngineerPackaging Engineer
Yearly salary$85,078$88,452
Hourly rate$40.90$42.52
Growth rate10%10%
Number of jobs15,93254,028
Job satisfaction--
Most common degreeBachelor's Degree, 76%Bachelor's Degree, 79%
Average age4242
Years of experience44

Statistical engineer vs packaging engineer salary

Statistical engineers and packaging engineers have different pay scales, as shown below.

Statistical EngineerPackaging Engineer
Average salary$85,078$88,452
Salary rangeBetween $63,000 And $114,000Between $65,000 And $118,000
Highest paying CitySan Francisco, CASanta Rosa, CA
Highest paying stateWashingtonCalifornia
Best paying companyIntelApple
Best paying industry-Technology

Differences between statistical engineer and packaging engineer education

There are a few differences between a statistical engineer and a packaging engineer in terms of educational background:

Statistical EngineerPackaging Engineer
Most common degreeBachelor's Degree, 76%Bachelor's Degree, 79%
Most common majorMechanical EngineeringEngineering And Industrial Management
Most common collegeJohns Hopkins UniversityNorthwestern University

Statistical engineer vs packaging engineer demographics

Here are the differences between statistical engineers' and packaging engineers' demographics:

Statistical EngineerPackaging Engineer
Average age4242
Gender ratioMale, 85.9% Female, 14.1%Male, 77.1% Female, 22.9%
Race ratioBlack or African American, 4.6% Unknown, 3.9% Hispanic or Latino, 11.3% Asian, 12.3% White, 67.6% American Indian and Alaska Native, 0.2%Black or African American, 4.6% Unknown, 3.9% Hispanic or Latino, 11.2% Asian, 13.1% White, 67.0% American Indian and Alaska Native, 0.2%
LGBT Percentage4%4%

Differences between statistical engineer and packaging engineer duties and responsibilities

Statistical engineer example responsibilities.

  • Manage Jenkins security by providing specific access to authorize developers/testers using project base matrix authorization strategy.
  • Verify project impact to performance, cost, quality, yield, sigma, etc.
  • Expedite and simplify the quotation process for solar water heating systems by accurately representing solar water heating system performance through MATLAB models
  • Systemize the Deviation/CAPA and train on investigations utilizing DMAIC.

Packaging engineer example responsibilities.

  • Manage UAT testing of App-V/Thin-App applications.
  • Manage implementation and changes using FDA compliant documentation and change management processes.
  • Manage Linux staging and testing environments and also automate application packaging and deployments.
  • Manage packaging redesign project to maintain compliance with current FDA regulations for medical device packaging.
  • Manage in-house process, which include art direction, copy/editorial development, photography, and print production management for domestic/international market.
  • Develop windows application in c #to process customer and policy information.
  • Show more

Statistical engineer vs packaging engineer skills

Common statistical engineer skills
  • Measurement System Analysis, 18%
  • Minitab, 16%
  • SQL, 12%
  • Statistical Process Control, 10%
  • R, 10%
  • FMEA, 7%
Common packaging engineer skills
  • CAD, 9%
  • Project Management, 8%
  • Solidworks, 7%
  • ASTM, 5%
  • Package Design, 5%
  • ISTA, 4%

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