Data Scientists

Information TechnologyO*NET 15-2051.00United States

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.

COMING SOON See related ASU learning
Median annual earnings
$119,406

50th percentile, United States

Projected change
+33.7%

2025 to 2035

Typical education
Bachelor's degree

36.2% of the workforce

Employment
270.26K jobs

Growing to 361.39K by 2035

Explore this career by location

Compare nationwide estimates with state or county job-market data.

Showing United States

Loading available locations…

Build the skills

ASU learning related to this career

These courses and certificates are connected through catalog career relationships and Lightcast skill tags.

Loading related ASU learning

The work

What data scientists do

Tasks reported for this occupation, ordered by how often they come up in the role.

  • 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.

Pay and outlook

What the job pays and where it is heading

Annual earnings range

Reported earnings by percentile, United States

10th percentile
$66,421
25th percentile
$84,874
50th percentile
$119,406
75th percentile
$159,162
90th percentile
$200,715

The gold marker shows the median. Half earn more than $119,406 and half earn less.

Employment outlook

2025 to 2035 projection

+33.7%much faster than average
2025270,259 jobs
2035 projected361,393 jobs

91,134 more positions over the decade, before replacement hiring.

Preparation

Education levels

What people currently working in the career hold. These are not entry requirements.

Bachelor's degree
36.2%
Doctoral degree or more
32.9%
Master's or Professional degree
22.5%
Some college
8.4%

Skills

Skills employers ask for

Technical skills appearing most often in job postings for this occupation.

  • Data Science
  • Python (Programming Language)
  • Machine Learning
  • SQL (Programming Language)
  • Computer Science
  • Data Analysis
  • Statistics
  • Artificial Intelligence
  • R (Programming Language)
  • Scalability
  • Workflow Management
  • Data Visualization
  • Dashboard
  • Tableau (Business Intelligence Software)
  • Power BI
  • Advanced Analytics
  • Data Modeling
  • Predictive Modeling
  • Economics
  • Automation

How the work gets done

Core competencies

Broad capabilities associated with strong performance in this occupation.

In the market

Job titles and employers

Recent job postings in United States

Common job titles

  1. 01Data Scientists13,291 postings
  2. 02Data Science Managers1,660 postings
  3. 03Research Analysts1,547 postings
  4. 04Data Analytics Managers1,326 postings
  5. 05Directors of Data Science1,258 postings
  6. 06Data Modelers1,129 postings
  7. 07Principal Data Scientists1,059 postings
  8. 08Lead Data Scientists953 postings
  9. 09Modeling and Simulation Engineers795 postings
  10. 10Data Science Interns789 postings
  11. 11Analytics Managers736 postings
  12. 12Chief Data Scientists665 postings
  13. 13Machine Learning Engineers448 postings
  14. 14Principal Engineers394 postings
  15. 15Modeling Engineers388 postings
  16. 16Directors of Analytics367 postings
  17. 17Directors of Data Analytics353 postings
  18. 18Model Based Systems Engineers340 postings
  19. 19Analytics and Insights Managers329 postings
  20. 20Marketing Data Scientists313 postings

Top employers

  1. 01Capital One636 postings
  2. 02Amazon545 postings
  3. 03PricewaterhouseCoopers535 postings
  4. 04Google514 postings
  5. 05General Motors486 postings
  6. 06Apple458 postings
  7. 07JPMorgan Chase449 postings
  8. 08CVS Health423 postings
  9. 09Stiftelsen Norstella410 postings
  10. 10Deloitte354 postings
  11. 11Walmart339 postings
  12. 12Northrop Grumman327 postings
  13. 13Booz Allen Hamilton323 postings
  14. 14Centerwell Limited Partnership313 postings
  15. 15Sedgwick305 postings
  16. 16Intermountain Health300 postings
  17. 17Baylor Scott & White Health289 postings
  18. 18Lockheed Martin279 postings
  19. 19USAA273 postings
  20. 20Accenture269 postings

Keep looking