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The differences between production 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 production 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 $77,464 average annual salary of a production scientist.
The top three skills for a production scientist include process improvement, QC and lab equipment. The most important skills for a data product manager are product management, BI, and QA.
| Production Scientist | Data Product Manager | |
| Yearly salary | $77,464 | $117,599 |
| Hourly rate | $37.24 | $56.54 |
| Growth rate | 17% | 10% |
| Number of jobs | 100,301 | 189,532 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 83% | Bachelor's Degree, 72% |
| Average age | 41 | 39 |
| Years of experience | 4 | 10 |
A production scientist analyzes production operations and manufacturing processes to identify gaps, modify current procedures that would increase process efficiency, and maximize optimal performance. Production scientists inspect the tools and materials utilized for the production and oversee research trials for process formulations. They also develop opportunities and design models that support business functions, generating more innovation and increasing more revenue resources for the business. A production scientist writes research findings, manages resources, and determines various process feasibility.
A data product manager is responsible for supervising the data flow within the product management process, ensuring that the data address the product's features and functionality. Data product managers analyze data statistics by conducting surveys and reviewing reports, adjusting business plans according to the results. They also coordinate with the clients to inform them of progress updates and assist with their additional requirements and requests. A data product manager must have excellent communication and organizational skills, especially in performing quality control procedures before releasing final product outputs.
Production scientists and data product managers have different pay scales, as shown below.
| Production Scientist | Data Product Manager | |
| Average salary | $77,464 | $117,599 |
| Salary range | Between $48,000 And $124,000 | Between $87,000 And $158,000 |
| Highest paying City | South San Francisco, CA | San Francisco, CA |
| Highest paying state | California | California |
| Best paying company | Beckman Coulter | Credit Karma |
| Best paying industry | Health Care | Start-up |
There are a few differences between a production scientist and a data product manager in terms of educational background:
| Production Scientist | Data Product Manager | |
| Most common degree | Bachelor's Degree, 83% | Bachelor's Degree, 72% |
| Most common major | Biology | Business |
| Most common college | University of Southern California | University of Georgia |
Here are the differences between production scientists' and data product managers' demographics:
| Production Scientist | Data Product Manager | |
| Average age | 41 | 39 |
| Gender ratio | Male, 58.4% Female, 41.6% | Male, 64.2% Female, 35.8% |
| Race ratio | Black or African American, 6.1% Unknown, 4.0% Hispanic or Latino, 9.3% Asian, 23.3% White, 57.1% American Indian and Alaska Native, 0.1% | 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 | 8% | 10% |