Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
The differences between production scientists and 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 production scientist and a data scientist. Additionally, a data scientist has an average salary of $106,104, 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 scientist are python, data science, and visualization.
| Production Scientist | Data Scientist | |
| Yearly salary | $77,464 | $106,104 |
| Hourly rate | $37.24 | $51.01 |
| Growth rate | 17% | 16% |
| Number of jobs | 100,301 | 106,973 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 83% | Bachelor's Degree, 51% |
| Average age | 41 | 41 |
| Years of experience | 4 | 4 |
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 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.
Production scientists and data scientists have different pay scales, as shown below.
| Production Scientist | Data Scientist | |
| Average salary | $77,464 | $106,104 |
| Salary range | Between $48,000 And $124,000 | Between $75,000 And $148,000 |
| Highest paying City | South San Francisco, CA | Richmond, CA |
| Highest paying state | California | California |
| Best paying company | Beckman Coulter | The Citadel |
| Best paying industry | Health Care | Start-up |
There are a few differences between a production scientist and a data scientist in terms of educational background:
| Production Scientist | Data Scientist | |
| Most common degree | Bachelor's Degree, 83% | Bachelor's Degree, 51% |
| Most common major | Biology | Computer Science |
| Most common college | University of Southern California | Columbia University in the City of New York |
Here are the differences between production scientists' and data scientists' demographics:
| Production Scientist | Data Scientist | |
| Average age | 41 | 41 |
| Gender ratio | Male, 58.4% Female, 41.6% | Male, 79.6% Female, 20.4% |
| 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, 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 | 8% | 9% |