Data Scientists
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.
A wage reference for United States.
Published wage percentiles describe a distribution within the source occupation group. They provide context for a career decision; employer packages and job offers have their own terms.
This wage group may include multiple detailed occupations. The figures are for the source group, which may be broader than Data Scientists. They are not an exact-title, employer, experience or seniority match.
May 2025 · USD · United States. Annual and hourly figures are shown only when the source publishes them; neither is calculated from the other.
U.S. Bureau of Labor Statistics occupational wage data, distributed through the O*NET® OnLine service.
Annual wage thresholds
USD per year
Hourly wage thresholds
USD per hour
| Percentile | Annual wage (USD/year) | Hourly wage (USD/hour) |
|---|---|---|
| 10th | $67,240 | $32.33 |
| 25th | $85,660 | $41.18 |
| 50th · Median | $120,230 | $57.80 |
| 75th | $158,880 | $76.39 |
| 90th | $199,130 | $95.74 |
“≥” means at least the published amount; “≤” means at most that amount. These are bounds, not exact values. “Not published” means the source did not provide that figure. Occupational wages follow the source definition and do not establish an employer’s base salary, equity or total compensation.
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Compare 49 state/DC wage marketsWhat this career involves.
Occupation definitions describe common work. Responsibilities and requirements vary by employer and specific job.
Selected title examples
Expand more title examples (17)
Typical 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.
Expand more tasks (10)
- 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.
Skills used in this work
- Mathematics
- Using mathematics to solve problems.
- Critical Thinking
- Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
- Reading Comprehension
- Understanding written sentences and paragraphs in work-related documents.
- Complex Problem Solving
- Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
- Programming
- Writing computer programs for various purposes.
- Active Learning
- Understanding the implications of new information for both current and future problem-solving and decision-making.
Expand more skills (29)
- Speaking
- Talking to others to convey information effectively.
- Active Listening
- Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
- Writing
- Communicating effectively in writing as appropriate for the needs of the audience.
- Judgment and Decision Making
- Considering the relative costs and benefits of potential actions to choose the most appropriate one.
- Monitoring
- Monitoring/Assessing performance of yourself, other individuals, or organizations to make improvements or take corrective action.
- Time Management
- Managing one's own time and the time of others.
- Coordination
- Adjusting actions in relation to others' actions.
- Social Perceptiveness
- Being aware of others' reactions and understanding why they react as they do.
- Instructing
- Teaching others how to do something.
- Learning Strategies
- Selecting and using training/instructional methods and procedures appropriate for the situation when learning or teaching new things.
- Persuasion
- Persuading others to change their minds or behavior.
- Systems Analysis
- Determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes.
- Systems Evaluation
- Identifying measures or indicators of system performance and the actions needed to improve or correct performance, relative to the goals of the system.
- Science
- Using scientific rules and methods to solve problems.
- Service Orientation
- Actively looking for ways to help people.
- Management of Personnel Resources
- Motivating, developing, and directing people as they work, identifying the best people for the job.
- Negotiation
- Bringing others together and trying to reconcile differences.
- Operations Monitoring
- Watching gauges, dials, or other indicators to make sure a machine is working properly.
- Quality Control Analysis
- Conducting tests and inspections of products, services, or processes to evaluate quality or performance.
- Technology Design
- Generating or adapting equipment and technology to serve user needs.
- Management of Material Resources
- Obtaining and seeing to the appropriate use of equipment, facilities, and materials needed to do certain work.
- Operations Analysis
- Analyzing needs and product requirements to create a design.
- Management of Financial Resources
- Determining how money will be spent to get the work done, and accounting for these expenditures.
- Operation and Control
- Controlling operations of equipment or systems.
- Equipment Selection
- Determining the kind of tools and equipment needed to do a job.
- Troubleshooting
- Determining causes of operating errors and deciding what to do about it.
- Equipment Maintenance
- Performing routine maintenance on equipment and determining when and what kind of maintenance is needed.
- Installation
- Installing equipment, machines, wiring, or programs to meet specifications.
- Repairing
- Repairing machines or systems using the needed tools.
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