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Statistical engineer vs project lead engineer

The differences between statistical engineers and project lead 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 project lead engineer. Additionally, a project lead engineer has an average salary of $106,946, 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 project lead engineer are project management, renewable energy, and project execution.

Statistical engineer vs project lead engineer overview

Statistical EngineerProject Lead Engineer
Yearly salary$85,078$106,946
Hourly rate$40.90$51.42
Growth rate10%10%
Number of jobs15,93298,018
Job satisfaction--
Most common degreeBachelor's Degree, 76%Bachelor's Degree, 73%
Average age4242
Years of experience44

Statistical engineer vs project lead engineer salary

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

Statistical EngineerProject Lead Engineer
Average salary$85,078$106,946
Salary rangeBetween $63,000 And $114,000Between $78,000 And $146,000
Highest paying CitySan Francisco, CACupertino, CA
Highest paying stateWashingtonCalifornia
Best paying companyIntelApple
Best paying industry-Automotive

Differences between statistical engineer and project lead engineer education

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

Statistical EngineerProject Lead Engineer
Most common degreeBachelor's Degree, 76%Bachelor's Degree, 73%
Most common majorMechanical EngineeringMechanical Engineering
Most common collegeJohns Hopkins UniversityNorthwestern University

Statistical engineer vs project lead engineer demographics

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

Statistical EngineerProject Lead Engineer
Average age4242
Gender ratioMale, 85.9% Female, 14.1%Male, 86.8% Female, 13.2%
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, 10.4% Asian, 15.2% White, 66.1% American Indian and Alaska Native, 0.2%
LGBT Percentage4%4%

Differences between statistical engineer and project lead 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.

Project lead engineer example responsibilities.

  • Manage IP environments using Cisco and Microsoft products.
  • Lead manufacturing process of all parts using lathe, mill, and CNC in university machine shop.
  • Manage the reverse engineering of all standard product lines to create SolidWorks models, product conceptualizations, and detail drawings.
  • Lead numerous ISO 9001 and ISO 13485 implementations from planning through certification in industries ranging from medical devices to government services.
  • Manage calibration system for multiple facilities/countries to assure compliance to ISO requirements.
  • Partner with the corporate PMO team to standardize reporting requirements for functionally manage initiatives.
  • Show more

Statistical engineer vs project lead engineer skills

Common statistical engineer skills
  • Measurement System Analysis, 18%
  • Minitab, 16%
  • SQL, 12%
  • Statistical Process Control, 10%
  • R, 10%
  • FMEA, 7%
Common project lead engineer skills
  • Project Management, 14%
  • Renewable Energy, 7%
  • Project Execution, 5%
  • Engineering Design, 3%
  • Autocad, 3%
  • R, 3%

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