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The differences between statisticians and data scientists can be seen in a few details. Each job has different responsibilities and duties. Additionally, a data scientist has an average salary of $106,104, which is higher than the $84,726 average annual salary of a statistician.
The top three skills for a statistician include data analysis, statistical methods and statistical techniques. The most important skills for a data scientist are python, data science, and visualization.
| Statistician | Data Scientist | |
| Yearly salary | $84,726 | $106,104 |
| Hourly rate | $40.73 | $51.01 |
| Growth rate | 31% | 16% |
| Number of jobs | 17,782 | 106,973 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 63% | Bachelor's Degree, 51% |
| Average age | 37 | 41 |
| Years of experience | - | 4 |
A statistician is an individual who gathers data and uses mathematical techniques to analyze and interpret data and draw conclusions. Statisticians are required to develop survey questionnaires or reporting forms so that they can collect the data they needed. Once the data are available, statisticians must analyze those data by calculating averages, reliabilities, and other specifics to identify trends and relationships. Statisticians must also write reports to explain their findings and recommend how to improve the design of future surveys or experiments.
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.
Statisticians and data scientists have different pay scales, as shown below.
| Statistician | Data Scientist | |
| Average salary | $84,726 | $106,104 |
| Salary range | Between $60,000 And $119,000 | Between $75,000 And $148,000 |
| Highest paying City | San Francisco, CA | Richmond, CA |
| Highest paying state | California | California |
| Best paying company | The Citadel | The Citadel |
| Best paying industry | Pharmaceutical | Start-up |
There are a few differences between a statistician and a data scientist in terms of educational background:
| Statistician | Data Scientist | |
| Most common degree | Bachelor's Degree, 63% | Bachelor's Degree, 51% |
| Most common major | Statistics | Computer Science |
| Most common college | University of Pennsylvania | Columbia University in the City of New York |
Here are the differences between statisticians' and data scientists' demographics:
| Statistician | Data Scientist | |
| Average age | 37 | 41 |
| Gender ratio | Male, 63.2% Female, 36.8% | Male, 79.6% Female, 20.4% |
| Race ratio | Black or African American, 5.1% Unknown, 5.0% Hispanic or Latino, 7.6% Asian, 22.7% White, 59.4% 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 | 9% | 9% |