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Statistical engineer vs process engineer

The differences between statistical engineers and process 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 process engineer. Additionally, a statistical engineer has an average salary of $85,078, which is higher than the $82,443 average annual salary of a process engineer.

The top three skills for a statistical engineer include measurement system analysis, minitab and SQL. The most important skills for a process engineer are continuous improvement, sigma, and lean manufacturing.

Statistical engineer vs process engineer overview

Statistical EngineerProcess Engineer
Yearly salary$85,078$82,443
Hourly rate$40.90$39.64
Growth rate10%10%
Number of jobs15,93266,937
Job satisfaction-4
Most common degreeBachelor's Degree, 76%Bachelor's Degree, 76%
Average age4242
Years of experience44

Statistical engineer vs process engineer salary

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

Statistical EngineerProcess Engineer
Average salary$85,078$82,443
Salary rangeBetween $63,000 And $114,000Between $62,000 And $108,000
Highest paying CitySan Francisco, CARio Rancho, NM
Highest paying stateWashingtonNew Mexico
Best paying companyIntelApple
Best paying industry-Technology

Differences between statistical engineer and process engineer education

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

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

Statistical engineer vs process engineer demographics

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

Statistical EngineerProcess Engineer
Average age4242
Gender ratioMale, 85.9% Female, 14.1%Male, 82.9% Female, 17.1%
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, 10.6% Asian, 15.6% White, 65.4% American Indian and Alaska Native, 0.2%
LGBT Percentage4%4%

Differences between statistical engineer and process 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.

Process engineer example responsibilities.

  • Lead KAIZEN projects to eliminate waste categories stemming from corrugation process.
  • Create and manage SharePoint sites for teams to collaborate on the work.
  • Lead and participate in KAIZEN events, IQ, OQ, PQ activities, set-up reduction techniques.
  • Lead a team, scheduling, resource planning, to create 120 catheters on schedule for a clinical trial.
  • Manage the operated and non-operate AFE process from implementation to cost allocation.
  • Obtain referrals, track hospitalized patients, interface with manage care intermediaries/medical personnel.
  • Show more

Statistical engineer vs process engineer skills

Common statistical engineer skills
  • Measurement System Analysis, 18%
  • Minitab, 16%
  • SQL, 12%
  • Statistical Process Control, 10%
  • R, 10%
  • FMEA, 7%
Common process engineer skills
  • Continuous Improvement, 8%
  • Sigma, 5%
  • Lean Manufacturing, 5%
  • Project Management, 5%
  • Troubleshoot, 4%
  • Lean Six Sigma, 3%

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