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Data Scientists

	Median Wage (USD, 2025)	Projected Job Openings (2025-2035)	Projected Growth (2025-2035)
National Statistics	$120230	23400	33.5%
State Statistics	-	-	-
City Statistics	-	-	-

Statistics

National

State

City

State

City

$120230

Median Wage (USD, 2025)

23400

Projected Job Openings (2025-2035)

33.5%

Projected Growth (2025-2035)

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.

Experience Requirements Overview

Job Zone Four: Considerable Preparation Needed
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.
Most of these occupations require a four-year bachelor's degree, but some do not.
Employees in these occupations usually need several years of work-related experience, on-the-job training, and/or vocational training.

Education, Training and Experience

Required Level of Education: Bachelor's Degree

Related Work Experience: N.A.

On-Site or In-Plant Training: N.A.

On-the-Job Training: Over 1 month, up to and including 3 months

Detailed Work Activities

Analyze data to inform operational decisions or activities.
Analyze business or financial data.
Determine appropriate methods for data analysis.
Prepare data for analysis.
Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.
Prepare graphics or other visual representations of information.
Prepare analytical reports.
Present research results to others.
Develop procedures to evaluate organizational activities.
Select resources needed to accomplish tasks.
Analyze data to identify trends or relationships among variables.
Analyze data to identify or resolve operational problems.
Update technical knowledge.
Advise others on analytical techniques.
Develop scientific or mathematical models.
Write computer programming code.

Tasks

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

Work Styles

Innovation

A tendency to be inventive, to be imaginative, and to adopt new perspectives on ways to accomplish work.

Achievement Orientation

Intellectual Curiosity

Tolerance for Ambiguity

Initiative

Adaptability

Self-Confidence

Perseverance

Leadership Orientation

Humility

Sincerity

Empathy

Cooperation

Optimism

Social Orientation

Cautiousness

Attention to Detail

Dependability

Integrity

Stress Tolerance

Self-Control

Data Source: This page 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® is a trademark of USDOL/ETA. This page includes Employment Projections program, Occupational Employment and Wage Statistics program, U.S. Bureau of Labor Statistics.

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