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The differences between salesforce developers and data 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 salesforce developer and a data scientist. Additionally, a data scientist has an average salary of $106,104, which is higher than the $98,375 average annual salary of a salesforce developer.
The top three skills for a salesforce developer include apex, java and javascript. The most important skills for a data scientist are python, data science, and visualization.
| Salesforce Developer | Data Scientist | |
| Yearly salary | $98,375 | $106,104 |
| Hourly rate | $47.30 | $51.01 |
| Growth rate | 21% | 16% |
| Number of jobs | 82,312 | 106,973 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 80% | Bachelor's Degree, 51% |
| Average age | 39 | 41 |
| Years of experience | 4 | 4 |
A salesforce developer is responsible for analyzing a company's needs and devising systems and customs applications to support them. It is their responsibility to coordinate with various company experts to bring the applications to fruition. Should there be any issues, a salesforce developer needs to perform troubleshooting and corrective measures while conducting regular maintenance. Furthermore, a salesforce developer must educate company staff on how to use these applications by facilitating technical training or providing written instructions.
A Data Scientist analyzes information from multiple sources in order to gain maximum insight that can give the company a competitive advantage. They work in different domains, including manufacturing, healthcare, education, and finance.
Salesforce developers and data scientists have different pay scales, as shown below.
| Salesforce Developer | Data Scientist | |
| Average salary | $98,375 | $106,104 |
| Salary range | Between $75,000 And $127,000 | Between $75,000 And $148,000 |
| Highest paying City | San Francisco, CA | Richmond, CA |
| Highest paying state | Washington | California |
| Best paying company | Airbnb | The Citadel |
| Best paying industry | Manufacturing | Start-up |
There are a few differences between a salesforce developer and a data scientist in terms of educational background:
| Salesforce Developer | Data Scientist | |
| Most common degree | Bachelor's Degree, 80% | Bachelor's Degree, 51% |
| Most common major | Computer Science | Computer Science |
| Most common college | - | Columbia University in the City of New York |
Here are the differences between salesforce developers' and data scientists' demographics:
| Salesforce Developer | Data Scientist | |
| Average age | 39 | 41 |
| Gender ratio | Male, 72.4% Female, 27.6% | Male, 79.6% Female, 20.4% |
| Race ratio | Black or African American, 4.6% Unknown, 4.9% Hispanic or Latino, 8.4% Asian, 32.3% White, 49.6% American Indian and Alaska Native, 0.2% | 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 | 8% | 9% |