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Statistical engineer vs senior staff engineer

The differences between statistical engineers and senior staff 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 a senior staff engineer takes usually requires 4-6 years. Additionally, a senior staff engineer has an average salary of $136,031, 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 senior staff engineer are python, java, and architecture.

Statistical engineer vs senior staff engineer overview

Statistical EngineerSenior Staff Engineer
Yearly salary$85,078$136,031
Hourly rate$40.90$65.40
Growth rate10%2%
Number of jobs15,932239,752
Job satisfaction--
Most common degreeBachelor's Degree, 76%Bachelor's Degree, 65%
Average age4241
Years of experience46

Statistical engineer vs senior staff engineer salary

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

Statistical EngineerSenior Staff Engineer
Average salary$85,078$136,031
Salary rangeBetween $63,000 And $114,000Between $95,000 And $194,000
Highest paying CitySan Francisco, CASan Mateo, CA
Highest paying stateWashingtonCalifornia
Best paying companyIntelAirbnb
Best paying industry-Telecommunication

Differences between statistical engineer and senior staff engineer education

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

Statistical EngineerSenior Staff Engineer
Most common degreeBachelor's Degree, 76%Bachelor's Degree, 65%
Most common majorMechanical EngineeringElectrical Engineering
Most common collegeJohns Hopkins UniversityCalifornia State Polytechnic University, Pomona

Statistical engineer vs senior staff engineer demographics

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

Statistical EngineerSenior Staff Engineer
Average age4241
Gender ratioMale, 85.9% Female, 14.1%Male, 78.4% Female, 21.6%
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, 3.1% Unknown, 4.5% Hispanic or Latino, 7.8% Asian, 16.8% White, 67.6% American Indian and Alaska Native, 0.1%
LGBT Percentage4%5%

Differences between statistical engineer and senior staff 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.

Senior staff engineer example responsibilities.

  • Provide consultation to the ISO team in achieving certification, and enable company to win many more deals as a result.
  • Participate in iterative software development including UML modeling, code, unit test and integration of Java web services.
  • Develop command line interface (python) for backend distribute storage middleware.
  • Define and streamline API need to interface with new set of user applications.
  • Perform requirements gathering, functional analysis, mentoring, status tracking and reporting, Java and XSL coding.
  • Ensure properly working product by utilizing experience in code debugging, analyzing field log, and system test log.
  • Show more

Statistical engineer vs senior staff engineer skills

Common statistical engineer skills
  • Measurement System Analysis, 18%
  • Minitab, 16%
  • SQL, 12%
  • Statistical Process Control, 10%
  • R, 10%
  • FMEA, 7%
Common senior staff engineer skills
  • Python, 11%
  • Java, 10%
  • Architecture, 9%
  • Software Development, 4%
  • Linux, 4%
  • SQL, 3%

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