Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
The differences between data scientists and senior 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 data scientist and a senior data scientist. Additionally, a senior data scientist has an average salary of $124,093, which is higher than the $106,104 average annual salary of a data scientist.
The top three skills for a data scientist include python, data science and visualization. The most important skills for a senior data scientist are python, data science, and visualization.
| Data Scientist | Senior Data Scientist | |
| Yearly salary | $106,104 | $124,093 |
| Hourly rate | $51.01 | $59.66 |
| Growth rate | 16% | 16% |
| Number of jobs | 106,973 | 103,618 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 51% | Bachelor's Degree, 40% |
| Average age | 41 | 41 |
| Years of experience | 4 | 4 |
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 senior data scientist is responsible for overseeing the work of the junior data scientist and providing advanced expertise in mathematical and statistical concepts for the analytics and data department. You will perform various tasks, including outlining the work requirements, monitoring the performance of junior data scientists, and assigning tasks to them. Other typical duties include preparing non-technical reports detailing the limitations and successes of projects, providing recommendations on how insights might be utilized to inform business strategy, and keeping up-to-date on the latest trends and developments in data science.
Data scientists and senior data scientists have different pay scales, as shown below.
| Data Scientist | Senior Data Scientist | |
| Average salary | $106,104 | $124,093 |
| Salary range | Between $75,000 And $148,000 | Between $90,000 And $170,000 |
| Highest paying City | Richmond, CA | Richmond, CA |
| Highest paying state | California | Washington |
| Best paying company | The Citadel | Brex |
| Best paying industry | Start-up | Start-up |
There are a few differences between a data scientist and a senior data scientist in terms of educational background:
| Data Scientist | Senior Data Scientist | |
| Most common degree | Bachelor's Degree, 51% | Bachelor's Degree, 40% |
| Most common major | Computer Science | Mathematics |
| Most common college | Columbia University in the City of New York | Columbia University in the City of New York |
Here are the differences between data scientists' and senior data scientists' demographics:
| Data Scientist | Senior Data Scientist | |
| Average age | 41 | 41 |
| Gender ratio | Male, 79.6% Female, 20.4% | Male, 86.5% Female, 13.5% |
| 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, 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 | 9% | 9% |