Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
The differences between embedded software engineers and data scientists can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 1-2 years to become an embedded software engineer, becoming a data scientist takes usually requires 2-4 years. Additionally, a data scientist has an average salary of $106,104, which is higher than the $102,143 average annual salary of an embedded software engineer.
The top three skills for an embedded software engineer include python, software development and linux. The most important skills for a data scientist are python, data science, and visualization.
| Embedded Software Engineer | Data Scientist | |
| Yearly salary | $102,143 | $106,104 |
| Hourly rate | $49.11 | $51.01 |
| Growth rate | 21% | 16% |
| Number of jobs | 171,613 | 106,973 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 73% | Bachelor's Degree, 51% |
| Average age | 39 | 41 |
| Years of experience | 2 | 4 |
An embedded software engineer is an individual who develops and implements software of embedded devices and systems as well as monitor the efficiency and stability of the system. Embedded software engineers should write programming codes and conduct testing of system software to optimize the input/output (I/O) performance. They must support the software QA and provide post-production support if necessary. Embedded software engineers should interface with hardware design and development and assess third-party and open-source software.
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.
Embedded software engineers and data scientists have different pay scales, as shown below.
| Embedded Software Engineer | Data Scientist | |
| Average salary | $102,143 | $106,104 |
| Salary range | Between $77,000 And $134,000 | Between $75,000 And $148,000 |
| Highest paying City | San Francisco, CA | Richmond, CA |
| Highest paying state | California | California |
| Best paying company | Meta | The Citadel |
| Best paying industry | Automotive | Start-up |
There are a few differences between an embedded software engineer and a data scientist in terms of educational background:
| Embedded Software Engineer | Data Scientist | |
| Most common degree | Bachelor's Degree, 73% | Bachelor's Degree, 51% |
| Most common major | Electrical Engineering | Computer Science |
| Most common college | Harvard University | Columbia University in the City of New York |
Here are the differences between embedded software engineers' and data scientists' demographics:
| Embedded Software Engineer | Data Scientist | |
| Average age | 39 | 41 |
| Gender ratio | Male, 86.8% Female, 13.2% | Male, 79.6% Female, 20.4% |
| Race ratio | Black or African American, 4.6% Unknown, 4.9% Hispanic or Latino, 8.4% Asian, 30.8% White, 51.1% 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% |