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The differences between pricing analysts and data scientists can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 4-6 years to become a pricing analyst, 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 $64,168 average annual salary of a pricing analyst.
The top three skills for a pricing analyst include pricing strategy, strong analytical and customer service. The most important skills for a data scientist are python, data science, and visualization.
| Pricing Analyst | Data Scientist | |
| Yearly salary | $64,168 | $106,104 |
| Hourly rate | $30.85 | $51.01 |
| Growth rate | 19% | 16% |
| Number of jobs | 73,462 | 106,973 |
| Job satisfaction | 5 | - |
| Most common degree | Bachelor's Degree, 75% | Bachelor's Degree, 51% |
| Average age | 37 | 41 |
| Years of experience | 6 | 4 |
Pricing analysts are responsible for examining competitors' pricing strategies and industry standards to aid businesses in determining and setting competitive pricing. These professionals study consumer habits and behavior to gauge their willingness to pay for products and examine consumer spending. They conduct impact and mathematical analyses, and large-scale research to come up with their conclusions. Other duties and responsibilities include developing revenue forecasts and statistical models, monitoring industry trends, and developing pricing tools that can quickly respond to the rapidly changing market trends and needs.
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.
Pricing analysts and data scientists have different pay scales, as shown below.
| Pricing Analyst | Data Scientist | |
| Average salary | $64,168 | $106,104 |
| Salary range | Between $46,000 And $89,000 | Between $75,000 And $148,000 |
| Highest paying City | Seattle, WA | Richmond, CA |
| Highest paying state | Washington | California |
| Best paying company | Apple | The Citadel |
| Best paying industry | Finance | Start-up |
There are a few differences between a pricing analyst and a data scientist in terms of educational background:
| Pricing Analyst | Data Scientist | |
| Most common degree | Bachelor's Degree, 75% | Bachelor's Degree, 51% |
| Most common major | Business | Computer Science |
| Most common college | University of Pennsylvania | Columbia University in the City of New York |
Here are the differences between pricing analysts' and data scientists' demographics:
| Pricing Analyst | Data Scientist | |
| Average age | 37 | 41 |
| Gender ratio | Male, 53.3% Female, 46.7% | Male, 79.6% Female, 20.4% |
| Race ratio | Black or African American, 5.0% Unknown, 5.0% Hispanic or Latino, 12.0% Asian, 13.0% White, 64.9% American Indian and Alaska Native, 0.1% | 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 | 10% | 9% |