Data Scientists
15-2051.00
Bright Outlook
Updated 2025
A subset of this occupation's profile is available. Data collection is currently underway to populate other parts of the profile. For more specific occupations, see:
- 15-2051.01 Business Intelligence Analysts
- 15-2051.02 Clinical Data Managers
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.
Occupation-Specific Information
Tasks
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Analyze, manipulate, or process large sets of data using statistical software.
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Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
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Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
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Clean and manipulate raw data using statistical software.
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Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
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Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
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Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
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Design surveys, opinion polls, or other instruments to collect data.
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Identify business problems or management objectives that can be addressed through data analysis.
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Identify relationships and trends or any factors that could affect the results of research.
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Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.
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Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
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Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies.
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Recommend data-driven solutions to key stakeholders.
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Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest.
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Write new functions or applications in programming languages to conduct analyses.
Technology Skills
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Analytical or scientific software — IBM SPSS Statistics
; SAS
; TensorFlow
; The MathWorks MATLAB
; 6 more
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Business intelligence and data analysis software — Alteryx software
; Apache Spark
; Microsoft Power BI
; Tableau
; 3 more
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Cloud-based management software — Amazon Web Services AWS SageMaker; Google Cloud software
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Data base management system software — Apache Cassandra
; Apache Hive
; Elasticsearch
; MongoDB
; 4 more
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Data base reporting software — Reporting software
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Data base user interface and query software — Amazon Elastic Compute Cloud EC2
; Amazon Redshift
; Amazon Web Services AWS software
; Microsoft SQL Server
; 8 more
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Enterprise resource planning ERP software — Management information systems MIS
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Geographic information system — Geographic information system GIS systems
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Industrial control software — Apache MXNet
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Procedure management software — Apache Airflow
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Occupational Requirements
Detailed Work Activities
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Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.
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Advise others on analytical techniques.
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Analyze business or financial data.
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Analyze data to identify or resolve operational problems.
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Analyze data to identify trends or relationships among variables.
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Analyze data to inform operational decisions or activities.
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Determine appropriate methods for data analysis.
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Develop procedures to evaluate organizational activities.
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Develop scientific or mathematical models.
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Prepare analytical reports.
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Prepare data for analysis.
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Prepare graphics or other visual representations of information.
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Present research results to others.
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Select resources needed to accomplish tasks.
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Update technical knowledge.
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Write computer programming code.
Experience Requirements
Job Zone
- Title
- Job Zone Four: Considerable Preparation Needed
- Education
- Most of these occupations require a four-year bachelor's degree, but some do not.
- Related Experience
- A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
- Job Training
- Employees in these occupations usually need several years of work-related experience, on-the-job training, and/or vocational training.
- Job Zone Examples
- Many of these occupations involve coordinating, supervising, managing, or training others. Examples include real estate brokers, sales managers, database administrators, graphic designers, conservation scientists, art directors, and cost estimators.
- SVP Range
- (7.0 to < 8.0)
Training & Credentials
- State training
- Local training
- Certifications
Apprenticeship Opportunities
Example apprenticeship titles for this occupation:
- Data Scientist
Specific title(s) listed above are vetted by industry and approved by the U.S. Department of Labor for use in a Registered Apprenticeship Program.
Worker Characteristics
Interests
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Investigative — Work involves studying and researching non-living objects, living organisms, disease or other forms of impairment, or human behavior. Investigative occupations are often associated with physical, life, medical, or social sciences, and can be found in the fields of humanities, mathematics/statistics, information technology, or health care service.
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Conventional — Work involves following procedures and regulations to organize information or data, typically in a business setting. Conventional occupations are often associated with office work, accounting, mathematics/statistics, information technology, finance, or human resources.
Workforce Characteristics
Wages & Employment Trends
- Median wages (2023)
- $51.93 hourly, $108,020 annual
- State wages
- Local wages
- Employment (2023)
- 202,900 employees
- Projected growth (2023-2033)
- Much faster than average (9% or higher)
- Projected job openings (2023-2033)
- 20,800
- State trends
- Top industries (2023)
Source: Bureau of Labor Statistics 2023 wage data external site and 2023-2033 employment projections external site. “Projected growth” represents the estimated change in total employment over the projections period (2023-2033). “Projected job openings” represent openings due to growth and replacement.
Job Openings on the Web
- State job openings
- Local job openings
More Information
Related Occupations
Professional Associations
Disclaimer: Sources are listed to provide additional information on related jobs, specialties, and/or industries. Links to non-DOL Internet sites are provided for your convenience and do not constitute an endorsement.
- Academic Data Science Alliance external site
- American Statistical Association external site
- Institute for Operations Research and the Management Sciences external site
- American Mathematical Society external site
- American Medical Informatics Association external site
- Association for Computing Machinery external site
- Association for Data-Driven Marketing and Advertising external site
- Association for Information Science and Technology external site
- Association for the Advancement of Artificial Intelligence external site
- Association for Women in Mathematics external site
- Computing Research Association external site
- Decision Sciences Institute external site
- ESOMAR external site
- IEEE Computer Society external site
- Information Processing Society of Japan external site
- Institute of Mathematical Statistics external site
- International Association for Cryptologic Research external site
- International Association of Computer Science and Information Technology external site
- International Biometric Society external site
- ISACA external site
- Northeast Big Data Innovation Hub external site
- Python Software Foundation external site
- Society for Industrial and Applied Mathematics external site
- Transforming Data with Intelligence external site