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The differences between remote sensing engineers and weather algorithm scientists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 1-2 years to become both a remote sensing engineer and a weather algorithm scientist. Additionally, a remote sensing engineer has an average salary of $93,371, which is higher than the $70,358 average annual salary of a weather algorithm scientist.
The top three skills for a remote sensing engineer include remote sensing, RF and lidar. The most important skills for a weather algorithm scientist are MATLAB, image quality, and .
| Remote Sensing Engineer | Weather Algorithm Scientist | |
| Yearly salary | $93,371 | $70,358 |
| Hourly rate | $44.89 | $33.83 |
| Growth rate | 2% | 17% |
| Number of jobs | 74,159 | 41,471 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 57% | Doctoral Degree, 42% |
| Average age | 40 | 40 |
| Years of experience | 2 | 2 |
Remote sensing engineers and weather algorithm scientists have different pay scales, as shown below.
| Remote Sensing Engineer | Weather Algorithm Scientist | |
| Average salary | $93,371 | $70,358 |
| Salary range | Between $61,000 And $141,000 | Between $42,000 And $115,000 |
| Highest paying City | San Francisco, CA | San Francisco, CA |
| Highest paying state | California | California |
| Best paying company | Apple | Meta |
| Best paying industry | Pharmaceutical | - |
There are a few differences between a remote sensing engineer and a weather algorithm scientist in terms of educational background:
| Remote Sensing Engineer | Weather Algorithm Scientist | |
| Most common degree | Bachelor's Degree, 57% | Doctoral Degree, 42% |
| Most common major | Electrical Engineering | Physics |
| Most common college | Northwestern University | Cornell University |
Here are the differences between remote sensing engineers' and weather algorithm scientists' demographics:
| Remote Sensing Engineer | Weather Algorithm Scientist | |
| Average age | 40 | 40 |
| Gender ratio | Male, 90.7% Female, 9.3% | Male, 92.3% Female, 7.7% |
| Race ratio | Black or African American, 3.0% Unknown, 5.0% Hispanic or Latino, 6.6% Asian, 28.9% White, 56.3% American Indian and Alaska Native, 0.1% | Black or African American, 3.0% Unknown, 5.0% Hispanic or Latino, 6.6% Asian, 28.9% White, 56.3% American Indian and Alaska Native, 0.1% |
| LGBT Percentage | 8% | 8% |