Occupation Summary

Data Scientists

O*NET 15-2051.00

Description:

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.

Annual Wages:
$119,708.00
Employment Rate:
Employment is expected to increase by 53.17%.
Education Level:
Master's Degree. According to O*Net, the majority of people employed in this occupation have this level of education.
Endorsement:
Business and Industry, Science Technology Engineering and Math (STEM)

  1. Analyze, manipulate, or process large sets of data using statistical software.
  2. Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
  3. Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
  4. Clean and manipulate raw data using statistical software.
  5. Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
  6. Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
  7. Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
  8. Design surveys, opinion polls, or other instruments to collect data.
  9. Identify business problems or management objectives that can be addressed through data analysis.
  10. Identify relationships and trends or any factors that could affect the results of research.
  11. Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.
  12. Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
  13. Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies.
  14. Recommend data-driven solutions to key stakeholders.
  15. Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest.
  16. Write new functions or applications in programming languages to conduct analyses.


National Industry Employment Patterns


Industry % of Data Scientists employed Annual Growth Rate
Computer systems design and related services 12.6 3.62
Management, scientific, and technical consulting services 7 3.35
Insurance carriers 6.7 2.94
Scientific research and development services 5.1 2.86
Software publishers 4.2 3.63
Employment services 3.8 2.47
Colleges, universities, and professional schools 2.7 2.69
Architectural, engineering, and related services 2.7 2.75
Agencies, brokerages, and other insurance related activities 2.3 3.68
General medical and surgical hospitals 2.2 2.57
Other professional, scientific, and technical services 2.2 3.46


Labor Market Information


2025 Statewide average hourly wage $57.55
2025 National average hourly wage $60.96
2022 National employment 168,900
2022 Texas employment 13,218
Texas projected employment by 2032 20,246
Texas projected annual employment and Turnover openings through 2032 1,691




TEXAS COUNTY MAP BY WORKFORCE DEVELOPMENT AREA
* Due to confidentiality rules, not all regions may have the data displayed. The sum of all the regions may not be equal to the state total.





Other Activities


No work importance values found.



No tools found.


Technology

Analytical or scientific software: Google Looker Analytics; IBM SPSS Statistics; Kubeflow; Mathematical software; Mlflow; SAS; StataCorp Stata; Statistical software; The MathWorks MATLAB;

Application server software: Kubernetes; GitHub; Docker;

Business intelligence and data analysis software: Business intelligence software; Alteryx software; Apache Spark; Microsoft Power BI; MapReduce big data software; Qlik Tech QlikView; Tableau;

Cloud-based management software: Amazon Web Services AWS SageMaker; Google Cloud software;

Content workflow software: Atlassian JIRA;

Data base management system software: Apache Pig; Apache Cassandra; Apache Hadoop; Apache Hive; Elasticsearch; NoSQL; MongoDB; Teradata Database;

Data base reporting software: Reporting software;

Data base user interface and query software: Microsoft SQL Server; PyTorch; NumPy; pandas; PySpark; Neo4j; Microsoft Access; Amazon Elastic Compute Cloud EC2; Amazon Redshift; BigQuery; Amazon Web Services AWS software; Structured query language SQL;

Development environment software: Ruby; Scikit-learn; XGBoost; Apache Kafka; Flask; C; Go; Microsoft Azure software; Julia; OpenAI ChatGPT;

Enterprise application integration software: Jenkins CI;

Enterprise resource planning ERP software: Management information systems MIS;

Enterprise system management software: Splunk Enterprise;

File versioning software: Git;

Geographic information system: Geographic information system GIS systems;

Industrial control software: Apache MXNet; TensorFlow;

Object or component oriented development software: SciPy; Shiny; spaCy; C#; C++; Jupyter software; Oracle Java; Python; Perl; R; Scala;

Object oriented data base management software: PostgreSQL;

Office suite software: Microsoft Office software;

Operating system software: Keras; Linux; Bash; Shell script; UNIX;

Presentation software: Microsoft PowerPoint;

Procedure management software: Apache Airflow;

Project management software: Atlassian Confluence;

Spreadsheet software: Microsoft Excel;

Storage networking software: Amazon Simple Storage Service S3;

Web platform development software: JavaScript; JavaScript Object Notation JSON; RESTful API;


Related O*NET occupational titles for Data Scientists include:
  • 19-1029.01 Bioinformatics Scientists
  • 15-2099.01 Bioinformatics Technicians
  • 15-2041.01 Biostatisticians
  • 15-2051.01 Business Intelligence Analysts
  • 15-1221.00 Computer and Information Research Scientists
  • 13-2099.01 Financial Quantitative Analysts
  • 15-2021.00 Mathematicians
  • 15-2031.00 Operations Research Analysts
  • 43-9111.00 Statistical Assistants
  • 15-2041.00 Statisticians


Contact Texas Workforce Commission
Labor Market and Career Information  |  101 E. 15th Street, Annex Room 0252  |  Austin, Texas 78778
Official Website  |  1-800-822-PLAN (7526)  |  512.936.3200

** The information in this report may be derived from many sources like O*NET, BLS (Bureau of Labor Statistics), OOH (Occupational Outlook Handbook), and Career One Stop.