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Statistical engineer vs engineer

The differences between statistical engineers and engineers can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 2-4 years to become a statistical engineer, becoming an engineer takes usually requires 4-6 years. Additionally, an engineer has an average salary of $92,077, 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 an engineer are python, cloud, and C++.

Statistical engineer vs engineer overview

Statistical EngineerEngineer
Yearly salary$85,078$92,077
Hourly rate$40.90$44.27
Growth rate10%2%
Number of jobs15,932618,207
Job satisfaction-4.33
Most common degreeBachelor's Degree, 76%Bachelor's Degree, 65%
Average age4241
Years of experience46

Statistical engineer vs engineer salary

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

Statistical EngineerEngineer
Average salary$85,078$92,077
Salary rangeBetween $63,000 And $114,000Between $65,000 And $130,000
Highest paying CitySan Francisco, CAHuntsville, AL
Highest paying stateWashingtonNew Hampshire
Best paying companyIntelFort Bend County
Best paying industry-Automotive

Differences between statistical engineer and engineer education

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

Statistical EngineerEngineer
Most common degreeBachelor's Degree, 76%Bachelor's Degree, 65%
Most common majorMechanical EngineeringMechanical Engineering
Most common collegeJohns Hopkins UniversityMichigan Technological University

Statistical engineer vs engineer demographics

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

Statistical EngineerEngineer
Average age4241
Gender ratioMale, 85.9% Female, 14.1%Male, 86.3% Female, 13.7%
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, 3.3% Unknown, 4.6% Hispanic or Latino, 9.1% Asian, 15.0% White, 67.9% American Indian and Alaska Native, 0.1%
LGBT Percentage4%5%

Differences between statistical engineer and 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.

Engineer example responsibilities.

  • Manage startup, trouble shooting and testing of PLC control equipment.
  • Lead project team to design and FDA validate 10-up extreme accuracy vial dosing system and CIP/SIP automate cleaning equipment.
  • Automate the creation of a WebLogic Admin and manage server deployment scheme within an installer for secure application deployment.
  • Install and test PLC in client own equipment on site - solve some logical and hardware issues to accomplish goal
  • Implement and manage continuous delivery systems and methodologies on AWS.
  • Manage Terraform and refactore from monolithic to application specific components.
  • Show more

Statistical engineer vs engineer skills

Common statistical engineer skills
  • Measurement System Analysis, 18%
  • Minitab, 16%
  • SQL, 12%
  • Statistical Process Control, 10%
  • R, 10%
  • FMEA, 7%
Common engineer skills
  • Python, 8%
  • Cloud, 6%
  • C++, 5%
  • C #, 5%
  • AWS, 5%
  • Java, 4%

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