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The differences between weather algorithm scientists and associate scientists can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 1-2 years to become a weather algorithm scientist, becoming an associate scientist takes usually requires 2-4 years. Additionally, an associate scientist has an average salary of $76,461, which is higher than the $70,358 average annual salary of a weather algorithm scientist.
The top three skills for a weather algorithm scientist include MATLAB, image quality and . The most important skills for an associate scientist are chemistry, patients, and cell culture.
| Weather Algorithm Scientist | Associate Scientist | |
| Yearly salary | $70,358 | $76,461 |
| Hourly rate | $33.83 | $36.76 |
| Growth rate | 17% | 17% |
| Number of jobs | 41,471 | 54,950 |
| Job satisfaction | - | - |
| Most common degree | Doctoral Degree, 42% | Bachelor's Degree, 73% |
| Average age | 40 | 41 |
| Years of experience | 2 | 4 |
Weather algorithm scientists and associate scientists have different pay scales, as shown below.
| Weather Algorithm Scientist | Associate Scientist | |
| Average salary | $70,358 | $76,461 |
| Salary range | Between $42,000 And $115,000 | Between $53,000 And $109,000 |
| Highest paying City | San Francisco, CA | San Francisco, CA |
| Highest paying state | California | California |
| Best paying company | Meta | Phillips 66 |
| Best paying industry | - | Manufacturing |
There are a few differences between a weather algorithm scientist and an associate scientist in terms of educational background:
| Weather Algorithm Scientist | Associate Scientist | |
| Most common degree | Doctoral Degree, 42% | Bachelor's Degree, 73% |
| Most common major | Physics | Biology |
| Most common college | Cornell University | University of Southern California |
Here are the differences between weather algorithm scientists' and associate scientists' demographics:
| Weather Algorithm Scientist | Associate Scientist | |
| Average age | 40 | 41 |
| Gender ratio | Male, 92.3% Female, 7.7% | Male, 48.6% Female, 51.4% |
| 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, 6.4% Unknown, 4.1% Hispanic or Latino, 9.7% Asian, 26.3% White, 53.3% American Indian and Alaska Native, 0.1% |
| LGBT Percentage | 8% | 8% |