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The differences between computer scientists and spectral scientists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a computer scientist and a spectral scientist. Additionally, a spectral scientist has an average salary of $106,296, which is higher than the $103,238 average annual salary of a computer scientist.
The top three skills for a computer scientist include python, computer system and machine learning. The most important skills for a spectral scientist are DOD, hyperspectral imaging, and erdas.
| Computer Scientist | Spectral Scientist | |
| Yearly salary | $103,238 | $106,296 |
| Hourly rate | $49.63 | $51.10 |
| Growth rate | 16% | 16% |
| Number of jobs | 59,802 | 41,842 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 66% | Master's Degree, 40% |
| Average age | 41 | 41 |
| Years of experience | 4 | 4 |
Computer scientists and spectral scientists have different pay scales, as shown below.
| Computer Scientist | Spectral Scientist | |
| Average salary | $103,238 | $106,296 |
| Salary range | Between $74,000 And $144,000 | Between $68,000 And $164,000 |
| Highest paying City | San Francisco, CA | - |
| Highest paying state | California | - |
| Best paying company | Meta | - |
| Best paying industry | Technology | - |
There are a few differences between a computer scientist and a spectral scientist in terms of educational background:
| Computer Scientist | Spectral Scientist | |
| Most common degree | Bachelor's Degree, 66% | Master's Degree, 40% |
| Most common major | Computer Science | Physics |
| Most common college | Massachusetts Institute of Technology | Northwestern University |
Here are the differences between computer scientists' and spectral scientists' demographics:
| Computer Scientist | Spectral Scientist | |
| Average age | 41 | 41 |
| Gender ratio | Male, 78.8% Female, 21.2% | Male, 100.0% Female, 0.0% |
| Race ratio | Black or African American, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6% | Black or African American, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6% |
| LGBT Percentage | 9% | 9% |