Data Scientists
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
- Tasks
- 16 tasksNot rated core or supplemental
- Family
- Computer & MathematicalOne of its 38 occupations
- Code
- 15-2051.00SOC 2018: 15-2051
What the work is made of
O*NET lists these 16 tasks but has not rated them core or supplemental. Each is quoted as published, with where it came from.
Not rated: O*NET has not rated it core or supplemental
- Task 1. Analyze, manipulate, or process large sets of data using statistical software.Not ratedTask 21823Listed by O*NET analysts, November 2020
- Task 2. Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.Not ratedTask 21824Listed by O*NET analysts, November 2020
- Task 3. Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.Not ratedTask 21825Listed by O*NET analysts, November 2020
- Task 4. Clean and manipulate raw data using statistical software.Not ratedTask 21826Listed by O*NET analysts, November 2020
- Task 5. Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.Not ratedTask 21827Listed by O*NET analysts, November 2020
- Task 6. Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.Not ratedTask 21828Listed by O*NET analysts, November 2020
- Task 7. Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.Not ratedTask 21829Listed by O*NET analysts, November 2020
- Task 8. Design surveys, opinion polls, or other instruments to collect data.Not ratedTask 21830Listed by O*NET analysts, November 2020
- Task 9. Identify business problems or management objectives that can be addressed through data analysis.Not ratedTask 21831Listed by O*NET analysts, November 2020
- Task 10. Identify relationships and trends or any factors that could affect the results of research.Not ratedTask 21832Listed by O*NET analysts, November 2020
- Task 11. Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.Not ratedTask 21833Listed by O*NET analysts, November 2020
- Task 12. Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.Not ratedTask 21834Listed by O*NET analysts, November 2020
- Task 13. Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies.Not ratedTask 21835Listed by O*NET analysts, November 2020
- Task 14. Recommend data-driven solutions to key stakeholders.Not ratedTask 21836Listed by O*NET analysts, November 2020
- Task 15. Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest.Not ratedTask 21837Listed by O*NET analysts, November 2020
- Task 16. Write new functions or applications in programming languages to conduct analyses.Not ratedTask 21838Listed by O*NET analysts, November 2020
Where this comes from
Quoted from the U.S. Department of Labor, and credited. Nothing on this page is written by us.
How we copy and credit sources- Published byO*NET 29.0, U.S. Department of LaborEmployment and Training Administration
- ClassificationStandard Occupational Classification 2018, 15-2051
- LicenseCC BY 4.0Free to copy and reuse, with credit
- Changed by usNothing.
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