Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
The differences between product technology scientists and data product managers can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 2-4 years to become a product technology scientist, becoming a data product manager takes usually requires 8-10 years. Additionally, a data product manager has an average salary of $117,599, which is higher than the $74,161 average annual salary of a product technology scientist.
The top three skills for a product technology scientist include CAPA, and . The most important skills for a data product manager are product management, BI, and QA.
| Product Technology Scientist | Data Product Manager | |
| Yearly salary | $74,161 | $117,599 |
| Hourly rate | $35.65 | $56.54 |
| Growth rate | 8% | 10% |
| Number of jobs | 151,750 | 189,532 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 50% | Bachelor's Degree, 72% |
| Average age | 40 | 39 |
| Years of experience | 4 | 10 |
Product technology scientists and data product managers have different pay scales, as shown below.
| Product Technology Scientist | Data Product Manager | |
| Average salary | $74,161 | $117,599 |
| Salary range | Between $44,000 And $123,000 | Between $87,000 And $158,000 |
| Highest paying City | - | San Francisco, CA |
| Highest paying state | - | California |
| Best paying company | - | Credit Karma |
| Best paying industry | - | Start-up |
There are a few differences between a product technology scientist and a data product manager in terms of educational background:
| Product Technology Scientist | Data Product Manager | |
| Most common degree | Bachelor's Degree, 50% | Bachelor's Degree, 72% |
| Most common major | Biology | Business |
| Most common college | Cornell University | University of Georgia |
Here are the differences between product technology scientists' and data product managers' demographics:
| Product Technology Scientist | Data Product Manager | |
| Average age | 40 | 39 |
| Gender ratio | Male, 62.5% Female, 37.5% | Male, 64.2% Female, 35.8% |
| Race ratio | Black or African American, 3.7% Unknown, 2.7% Hispanic or Latino, 5.9% Asian, 9.4% White, 78.0% American Indian and Alaska Native, 0.2% | Black or African American, 3.0% Unknown, 5.3% Hispanic or Latino, 8.7% Asian, 8.2% White, 74.6% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 19% | 10% |