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The differences between data scientists and developer analysts can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 2-4 years to become a data scientist, becoming a developer analyst takes usually requires 4-6 years. Additionally, a data scientist has an average salary of $106,104, which is higher than the $85,279 average annual salary of a developer analyst.
The top three skills for a data scientist include python, data science and visualization. The most important skills for a developer analyst are java, C++, and eclipse.
| Data Scientist | Developer Analyst | |
| Yearly salary | $106,104 | $85,279 |
| Hourly rate | $51.01 | $41.00 |
| Growth rate | 16% | 9% |
| Number of jobs | 106,973 | 219,524 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 51% | Bachelor's Degree, 72% |
| Average age | 41 | 43 |
| Years of experience | 4 | 6 |
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.
A developer analyst is an individual who is responsible for building application requirements and develops database solutions that allow operational efficiency and user-friendly tools. Developer analysts are required to develop a detailed definition of business solutions that can include database design, data flow, and transaction processing requirements. They work with other teams to design and implement a web application that manages internal processes and can result in increased productivity. Developer analysts are also required to perform integration tests for various vendors for services that are according to business requirements and testing processes.
Data scientists and developer analysts have different pay scales, as shown below.
| Data Scientist | Developer Analyst | |
| Average salary | $106,104 | $85,279 |
| Salary range | Between $75,000 And $148,000 | Between $64,000 And $113,000 |
| Highest paying City | Richmond, CA | Seattle, WA |
| Highest paying state | California | Delaware |
| Best paying company | The Citadel | Meta |
| Best paying industry | Start-up | Finance |
There are a few differences between a data scientist and a developer analyst in terms of educational background:
| Data Scientist | Developer Analyst | |
| Most common degree | Bachelor's Degree, 51% | Bachelor's Degree, 72% |
| Most common major | Computer Science | Computer Science |
| Most common college | Columbia University in the City of New York | Stanford University |
Here are the differences between data scientists' and developer analysts' demographics:
| Data Scientist | Developer Analyst | |
| Average age | 41 | 43 |
| Gender ratio | Male, 79.6% Female, 20.4% | Male, 63.0% Female, 37.0% |
| 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, 9.8% Unknown, 5.0% Hispanic or Latino, 11.0% Asian, 17.8% White, 56.3% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 9% | 8% |