Data Scientists (15-2051.00)

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.

16 tasks, 16 offered as a checkbox. Back to the catalog.

Initial pass, pending human review

Task classes (digital, physical-low-risk, physical-high-risk, licensed-advisory-only) and checkbox eligibility are an initial automated pass and are pending human review.

This site includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET(R) is a trademark of USDOL/ETA. Task text is unmodified; Zeta-Reticuli AI added the classification fields, and the information is not endorsed by USDOL/ETA.

Task	Class	Offered as checkbox	Human approval
Analyze, manipulate, or process large sets of data using statistical software.	digital	yes	no
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.	digital	yes	no
Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.	digital	yes	no
Clean and manipulate raw data using statistical software.	digital	yes	no
Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.	digital	yes	no
Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.	digital	yes	no
Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.	digital	yes	no
Identify business problems or management objectives that can be addressed through data analysis.	digital	yes	no
Identify relationships and trends or any factors that could affect the results of research.	digital	yes	no
Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.	digital	yes	no
Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.	digital	yes	no
Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies.	digital	yes	no
Recommend data-driven solutions to key stakeholders.	digital	yes	no
Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest.	digital	yes	no
Write new functions or applications in programming languages to conduct analyses.	digital	yes	no
Design surveys, opinion polls, or other instruments to collect data.	digital	yes	no

This catalog contains information from O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET(R) is a trademark of USDOL/ETA. Task text is unmodified; classification, approval and signing fields are added by this project and have not been reviewed or endorsed by USDOL/ETA.