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The differences between statistical engineers and software 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 software engineer. Additionally, a software engineer has an average salary of $100,260, 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 software engineer are java, python, and software development.
| Statistical Engineer | Software Engineer | |
| Yearly salary | $85,078 | $100,260 |
| Hourly rate | $40.90 | $48.20 |
| Growth rate | 10% | 21% |
| Number of jobs | 15,932 | 339,938 |
| Job satisfaction | - | 3.5 |
| Most common degree | Bachelor's Degree, 76% | Bachelor's Degree, 73% |
| Average age | 42 | 39 |
| Years of experience | 4 | 4 |
Statistical engineers and software engineers have different pay scales, as shown below.
| Statistical Engineer | Software Engineer | |
| Average salary | $85,078 | $100,260 |
| Salary range | Between $63,000 And $114,000 | Between $73,000 And $136,000 |
| Highest paying City | San Francisco, CA | San Bruno, CA |
| Highest paying state | Washington | California |
| Best paying company | Intel | The Citadel |
| Best paying industry | - | Start-up |
There are a few differences between a statistical engineer and a software engineer in terms of educational background:
| Statistical Engineer | Software Engineer | |
| Most common degree | Bachelor's Degree, 76% | Bachelor's Degree, 73% |
| Most common major | Mechanical Engineering | Computer Science |
| Most common college | Johns Hopkins University | Harvard University |
Here are the differences between statistical engineers' and software engineers' demographics:
| Statistical Engineer | Software Engineer | |
| Average age | 42 | 39 |
| Gender ratio | Male, 85.9% Female, 14.1% | Male, 78.0% Female, 22.0% |
| Race ratio | Black 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, 4.8% Hispanic or Latino, 8.1% Asian, 34.0% White, 48.5% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 4% | 8% |