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Statistical engineer vs production engineer

The differences between statistical engineers and production 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 production engineer. Additionally, a production engineer has an average salary of $89,727, 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 production engineer are java, continuous improvement, and lean manufacturing.

Statistical engineer vs production engineer overview

Statistical EngineerProduction Engineer
Yearly salary$85,078$89,727
Hourly rate$40.90$43.14
Growth rate10%10%
Number of jobs15,93294,789
Job satisfaction--
Most common degreeBachelor's Degree, 76%Bachelor's Degree, 76%
Average age4242
Years of experience44

Statistical engineer vs production engineer salary

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

Statistical EngineerProduction Engineer
Average salary$85,078$89,727
Salary rangeBetween $63,000 And $114,000Between $64,000 And $125,000
Highest paying CitySan Francisco, CASan Francisco, CA
Highest paying stateWashingtonCalifornia
Best paying companyIntelCheniere Energy
Best paying industry-Technology

Differences between statistical engineer and production engineer education

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

Statistical EngineerProduction Engineer
Most common degreeBachelor's Degree, 76%Bachelor's Degree, 76%
Most common majorMechanical EngineeringMechanical Engineering
Most common collegeJohns Hopkins UniversityNorthwestern University

Statistical engineer vs production engineer demographics

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

Statistical EngineerProduction Engineer
Average age4242
Gender ratioMale, 85.9% Female, 14.1%Male, 86.7% Female, 13.3%
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, 4.3% Unknown, 3.9% Hispanic or Latino, 10.5% Asian, 15.4% White, 65.7% American Indian and Alaska Native, 0.2%
LGBT Percentage4%4%

Differences between statistical engineer and production 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.

Production engineer example responsibilities.

  • Prepare tooling and gauging for CNC turning centers, manage the tooling cabinets, and rapport with vendors for tool sharpening.
  • Complete DMAIC project and 8D that lead to the resolution of vibration issue, project result in a $2M save.
  • Lead work cells to become a team; Harmonize/unite/motivate assembly personnel using Kaizen approach.
  • Lead several independent, cross-functional projects and improve manufacturing quality, reduce cost, ensure environment are supported and FDA compliant.
  • Install new filtration systems for aluminum boring machine centers.
  • Have prepared and used FMEA, PPAP documents and perform MSA studies.
  • Show more

Statistical engineer vs production engineer skills

Common statistical engineer skills
  • Measurement System Analysis, 18%
  • Minitab, 16%
  • SQL, 12%
  • Statistical Process Control, 10%
  • R, 10%
  • FMEA, 7%
Common production engineer skills
  • Java, 9%
  • Continuous Improvement, 7%
  • Lean Manufacturing, 5%
  • Sigma, 4%
  • Technical Support, 4%
  • Process Control, 4%

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