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Statistical engineer vs reliability engineer

The differences between statistical engineers and reliability 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 reliability engineer. Additionally, a reliability engineer has an average salary of $105,551, 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 reliability engineer are java, troubleshoot, and ruby.

Statistical engineer vs reliability engineer overview

Statistical EngineerReliability Engineer
Yearly salary$85,078$105,551
Hourly rate$40.90$50.75
Growth rate10%10%
Number of jobs15,93244,471
Job satisfaction--
Most common degreeBachelor's Degree, 76%Bachelor's Degree, 76%
Average age4242
Years of experience44

Statistical engineer vs reliability engineer salary

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

Statistical EngineerReliability Engineer
Average salary$85,078$105,551
Salary rangeBetween $63,000 And $114,000Between $76,000 And $144,000
Highest paying CitySan Francisco, CARichmond, CA
Highest paying stateWashingtonWashington
Best paying companyIntelThe Citadel
Best paying industry-Start-up

Differences between statistical engineer and reliability engineer education

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

Statistical EngineerReliability 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 reliability engineer demographics

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

Statistical EngineerReliability Engineer
Average age4242
Gender ratioMale, 85.9% Female, 14.1%Male, 87.5% Female, 12.5%
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, 4.4% Unknown, 3.9% Hispanic or Latino, 10.8% Asian, 14.3% White, 66.5% American Indian and Alaska Native, 0.2%
LGBT Percentage4%4%

Differences between statistical engineer and reliability 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.

Reliability engineer example responsibilities.

  • Lead a team of over 20 engineers responsible for implementing NASA human-rating requirements to achieve human-rating safety certification.
  • Manage GMP compliance, FDA audits, and the writing of [] procedures.
  • Achieve completion of the resistors and capacitor sections of the AVL.
  • Lead the implementation of utilizing SPC data for software and test set improvement initiatives.
  • Delegate tasks to appropriate CE specialist and manage``burn rate"to prevent cost overrun.
  • Design, build, and manage the entire QMS system from the ground up including re-writing all existing technical documentation.
  • Show more

Statistical engineer vs reliability engineer skills

Common statistical engineer skills
  • Measurement System Analysis, 18%
  • Minitab, 16%
  • SQL, 12%
  • Statistical Process Control, 10%
  • R, 10%
  • FMEA, 7%
Common reliability engineer skills
  • Java, 22%
  • Troubleshoot, 10%
  • Ruby, 7%
  • Jenkins, 5%
  • Azure, 4%
  • Debugging, 4%

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