Data Scientists
15-2051.00
Bright Outlook Updated 2022

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.

Also see: Business Intelligence Analysts, Clinical Data Managers

Occupation-Specific Information

Tasks

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

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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, chemists, art directors, and cost estimators.
SVP Range
2-4 years of preparation (7.0 to < 8.0)

Training & Credentials

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Workforce Characteristics

Wages & Employment Trends

Employment data for Data Scientists and Mathematical Science Occupations, All Other.
Industry data for Data Scientists and Mathematical Science Occupations, All Other.
Median wages (2021)
$48.52 hourly, $100,910 annual
State wages
Local wages
Employment (2020)
63,200 employees
Projected growth (2020-2030)
Much faster than average (15% or higher)
Projected job openings (2020-2030)
7,100
State trends
Top industries (2020)

Source: Bureau of Labor Statistics 2021 wage data external site and 2020-2030 employment projections external site. “Projected growth” represents the estimated change in total employment over the projections period (2020-2030). “Projected job openings” represent openings due to growth and replacement.

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