Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
The differences between data scientists and operations research analysts 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 $74,424 average annual salary of an operations research analyst.
The top three skills for a data scientist include python, data science and visualization. The most important skills for an operations research analyst are operations research, DOD, and python.
| Data Scientist | Operations Research Analyst | |
| Yearly salary | $106,104 | $74,424 |
| Hourly rate | $51.01 | $35.78 |
| Growth rate | 16% | 23% |
| Number of jobs | 106,973 | 154,380 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 51% | Bachelor's Degree, 67% |
| Average age | 41 | 45 |
| Years of experience | 4 | - |
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.
Operations research analysts are responsible for assisting organizations in making better decisions. These professionals work to develop solutions that will aid businesses to operate more efficiently using advanced techniques such as data mining, optimization, and mathematical modeling. They work closely with key organizational stakeholders to stay up-to-date on short-term and long-term business goals. They also conduct research that will give them insights they need to guide decision-makers and develop solutions using predictive modeling, simulations, and statistical analysis.
Data scientists and operations research analysts have different pay scales, as shown below.
| Data Scientist | Operations Research Analyst | |
| Average salary | $106,104 | $74,424 |
| Salary range | Between $75,000 And $148,000 | Between $48,000 And $113,000 |
| Highest paying City | Richmond, CA | Washington, DC |
| Highest paying state | California | Maine |
| Best paying company | The Citadel | The Citadel |
| Best paying industry | Start-up | Professional |
There are a few differences between a data scientist and an operations research analyst in terms of educational background:
| Data Scientist | Operations Research Analyst | |
| Most common degree | Bachelor's Degree, 51% | Bachelor's Degree, 67% |
| Most common major | Computer Science | Mathematics |
| Most common college | Columbia University in the City of New York | University of Southern California |
Here are the differences between data scientists' and operations research analysts' demographics:
| Data Scientist | Operations Research Analyst | |
| Average age | 41 | 45 |
| Gender ratio | Male, 79.6% Female, 20.4% | Male, 68.2% Female, 31.8% |
| Race ratio | 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% | Black or African American, 13.9% Unknown, 5.9% Hispanic or Latino, 12.4% Asian, 12.9% White, 54.4% American Indian and Alaska Native, 0.6% |
| LGBT Percentage | 9% | 9% |