Career card

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.

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Median pay BLS, 2025$120,230
Openings a year BLS, 2025–3524,800
Typical education to start BLSBachelor's degree
AI exposure BLS, Aug 2026 Very high
Projected job growth BLS, 2025–35 +34.6%

What the data says: AI could halve the time on 15 of its 16 tasks, yet jobs are projected to grow 34.6% by 2035. In the most exposed occupations, the squeeze shows up first among early-career workers. How to think about this →

About this projection

BLS builds AI into its projections where the research supports it: “BLS generally applies adjustments based on this research conservatively, where there is convincing evidence for a change.”

It also notes a limit: “BLS projection methods are not designed to capture extremely rapid technological change.”

On its AI exposure groups, BLS says exposure “does not imply job loss.”

BLS figures cover the broader occupation “Data scientists”, which includes this one and others.

Recent conditions

  • In 2024, 2.9% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024, all workers in the Census group “Other mathematical science occupations”
  • From Sep 2025 to Aug 2026, 7.9 hires for every 10 job openings in professional and business services, which employs about 44% of people in this work, against 7.3 across all industries BLS JOLTS One box per opening, filled for each hire; hires beyond the openings are added in a lighter shade. Higher can mean openings get filled, or that people leave often; lower, that jobs go unfilled, or hiring is slow.

How to read these

Pay compared with all occupations BLS median wages Pays more than 90% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$69k$163knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$103,120$74,140 to $127,6601,740
Alaska$84,110$57,350 to $113,040230
Arizona$107,240$80,820 to $134,0704,560
Arkansas$109,390$97,510 to $136,060530
California$141,590$103,360 to $186,82039,310
Colorado$117,400$96,300 to $152,6506,280
Connecticut$126,340$94,480 to $163,2101,760
Delawarenot publishednot published770
District of Columbia$126,490$105,320 to $174,6502,680
Florida$115,820$84,070 to $140,21010,240
Georgia$104,340$84,120 to $136,5609,260
Hawaii$102,130$87,640 to $152,980300
Idaho$89,380$80,940 to $136,9401,350
Illinois$106,560$84,610 to $137,29010,520
Indiana$91,470$72,670 to $127,5103,580
Iowa$95,830$71,010 to $127,3402,300
Kansas$98,130$75,970 to $131,390490
Kentucky$91,760$75,620 to $121,8501,540
Louisiana$78,760$63,560 to $110,1301,300
Maine$90,880$77,340 to $115,1701,210
Maryland$136,370$100,370 to $169,5103,340
Massachusetts$131,750$101,940 to $166,1809,420
Michigan$100,590$77,410 to $130,2407,360
Minnesota$128,800$92,490 to $160,9104,020
Mississippi$69,490$51,060 to $99,030440
Missouri$97,090$74,610 to $127,6804,730
Montana$100,490$70,990 to $127,840220
Nebraska$98,230$80,900 to $109,8601,980
Nevada$98,540$76,190 to $129,9901,680
New Hampshire$100,620$82,750 to $128,5401,100
New Jersey$135,280$101,970 to $167,3306,430
New Mexico$95,850$64,250 to $107,540560
New York$130,460$94,880 to $171,58023,970
North Carolina$119,090$82,440 to $147,54011,430
North Dakota$81,900$64,270 to $100,110210
Ohio$102,630$79,510 to $130,9206,100
Oklahoma$86,310$68,580 to $109,7701,900
Oregon$125,990$96,770 to $163,7102,140
Pennsylvania$106,850$79,220 to $129,16013,810
Puerto Rico$80,350$66,750 to $97,320100
Rhode Island$102,440$93,090 to $130,1501,160
South Carolina$91,990$78,550 to $123,8803,750
South Dakota$96,150$83,810 to $123,260220
Tennessee$100,330$77,770 to $131,9302,790
Texas$122,090$83,880 to $146,03025,860
Utah$108,090$78,720 to $146,1604,360
Vermont$127,070$98,450 to $143,170200
Virginia$126,430$97,390 to $165,6108,920
Washington$163,350$105,240 to $208,3209,600
West Virginia$85,090$69,790 to $112,770390
Wisconsin$106,680$88,060 to $133,8604,370

Nationally: $120,230. Shades run from the lowest state median to the highest; a territory below that range takes the lightest. How to read this

How AI touches the work

What AI could speed up, task by task, and where people already use it.

AI could halve the time on 15 of its 16 tasks

4 · AI alone could halve the time 11 · AI + software built on it could 1 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
AI + software Analyze, manipulate, or process large sets of data using statistical software. 0.03%
AI + software Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software. 0.36%
AI + software Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest. 0.01%
AI + software Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users. under 0.01%
AI alone Recommend data-driven solutions to key stakeholders. 0.01%
Not much Compare models using statistical performance metrics, such as loss functions or proportion of explained variance. under 0.01%
See all 16 tasks
AI + software Clean and manipulate raw data using statistical software. 0.02%
AI + software Identify business problems or management objectives that can be addressed through data analysis. Not published
AI + software Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use. Not published
AI + software Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis. 0.02%
AI + software Identify relationships and trends or any factors that could affect the results of research. 0.01%
AI alone Write new functions or applications in programming languages to conduct analyses. 0.12%
AI + software Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies. Not published
AI alone Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods. Not published
AI + software Design surveys, opinion polls, or other instruments to collect data. Not published
AI alone Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques. 0.04%

Ordered by how important O*NET's respondents rate each task (1 to 5) times the share who say it is part of their job. The ordering is ours. 11 of the 16 have a published share of Claude conversations; “not published” means too few conversations for Anthropic to publish a figure.

Where people already use AI

The tasks above say what AI could speed up. This shows what people are using it for. Its 16 tasks fall under 13 work activities that many occupations share, and Microsoft counted how often each one came up in 200,000 conversations with its Copilot assistant in 2024.

Tasks AI could speed up15 of 16 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most8 of 13 activities
  • #4 Maintain current knowledge in area of expertise
  • #14 Create visual designs or displays
  • #20 Present research or technical information
  • and 5 more, in the table below
Microsoft Copilot (2024), ranked among all 332 activities. The cut-off of 50 is ours.
Work activity This occupation's tasks under it People asked AI for help
in 10,000 conversations
AI did it for them
in 10,000 conversations
Analyze scientific or applied data using mathematical principles 67#28 14#56
Present research or technical information 100#20 339#6
Analyze data to improve operations 3.31#159 1.09#162
Maintain current knowledge in area of expertise 408#4 247#8
Create visual designs or displays 127#14 54#27
Program computer systems or production equipment 58#31 12#63
Process digital or online data 50#35 73#23
Determine operational methods or procedures 45#37 22#46
Show all 13 activities
Select materials or equipment for operations or projects 45#38 19#49
Analyze business or financial data 14#73 3.50#106
Develop operational or technical procedures or standards 13#79 9.18#68
Advise others on business or operational matters 11#86 34#35
Develop scientific or mathematical theories or models 5.05#126 1.09#163
Task: AI alone Task: AI + software Task: not much #: rank among all 332 activities Microsoft measured (#1 = most common; activities that never came up share last place, shown as “tied”)

How people in this work use Claude

What people in this work made with Claude % of conversations

  • A chart or visualization25%
  • A presentation or slides17%
  • A script or snippet14%
  • A document or report10%
  • Data or a spreadsheet9%

How they worked with Claude

47% handed the task off53% worked on it together

56% of these conversations were about work. Anthropic Economic Index, May 2026.

How to read this

Work activities come from O*NET, which links every task to the broader activities it involves. Microsoft's figures are for the activity across everyone who used Copilot, not for data scientists specifically. Copilot is a general chat assistant; dedicated coding tools are not included, so programming help is under-counted here. Activities are listed by how many of this occupation's tasks fall under them.

The task ratings say whether AI could halve the time a task takes: on its own (“AI alone”), or with software built on it (“AI + software”). They were made by people in 2023 (Eloundou et al.). Claude's share is the task's share of all Claude.ai conversations in May 2026; Anthropic doesn't publish a task with too few conversations. None of these add up to the BLS exposure group, which combines five research measures.

More in the Guide: task ratings · task order · work activities · Copilot figures · Claude

High exposure doesn't mean fewer jobs

BLS projects most occupations in its two most exposed groups to grow: 141 of 206 rated Very high and 165 of 206 rated High. Each dot is one of the 831 occupations BLS rates.

AI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213 growingModerate151 of 206 growingHigh165 of 206 growingVery high141 of 206 growing11 occupations outside −20% to +25% are drawn at the edge. Click a dot to see that occupation.Data scientists: +34.6%Data ScientistsAI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213Moderate151 of 206High165 of 206Very high141 of 20611 occupations outside −20% to +25% are drawn at the edge. Tap a dot.Data scientists: +34.6%Data Scientists

Career moves into and out of this occupation

From moves between occupations found in online resumes, 2002–2016. Career changes only: a first job after school isn't a move.

Where people moved in from

of 675 moves in

  1. 1 Janitors and Cleaners, Except Maids and Housekeeping Cleaners Low +2.2% 23%
  2. 2 Operations Research Analysts Very high +11.9% 13%
  3. 3 Software Developers, Applications (2010 group) an older group BLS has since split; no exposure group today 8%
  4. 4 Information Security Analysts Very high +21.0% 7%
  5. 5 Mechanical Engineers Very high +11.2% 6%

The resume data uses 2010 occupation codes. Moves into this occupation are counted as moves into “Mathematical Science Occupations, All Other”, which today also includes the occupation still called “Mathematical Science Occupations, All Other”, so these figures cover it too. Resumes over-represent younger, white-collar job-seekers and moves into management. Schubert, Stansbury and Taska (resume data).

Education and training for the occupation

Education people in it hold

Census survey (American Community Survey)

  • 1% less than high school
  • 4% high school
  • 7% some college
  • 4% associate's
  • 39% bachelor's
  • 35% master's
  • 2% professional degree
  • 10% doctorate

Census ACS 2024, all workers in the Census group “Other mathematical science occupations” · 4,447 people surveyed.

Median pay by highest degree full-time, year-round · Census ACS 2024, all workers in the Census group “Other mathematical science occupations”

Programs that prepare people for it (NCES)
35 programs, such as Artificial Intelligence, Information Technology and Computer Science.
See all
  • Artificial Intelligence
  • Information Technology
  • Computer Science
  • Data Modeling/Warehousing and Database Administration
  • Modeling, Virtual Environments and Simulation
  • Bioinformatics
  • Computational Biology
  • Biomathematics, Bioinformatics, and Computational Biology, Other
  • Mathematics, General
  • Applied Mathematics, General
  • Computational Mathematics
  • Computational and Applied Mathematics
  • Financial Mathematics
  • Mathematical Biology
  • Applied Mathematics, Other
  • Statistics, General
  • Mathematical Statistics and Probability
  • Mathematics and Statistics
  • Applied Statistics, General
  • Mathematics and Statistics, Other
  • Mathematics and Computer Science
  • Computational Science
  • Economics and Computer Science
  • Linguistics and Computer Science
  • Data Science, General
  • Data Science, Other
  • Data Analytics, General
  • Business Analytics
  • Data Visualization
  • Financial Analytics
  • Data Analytics, Other
  • Cheminformatics/Chemistry Informatics
  • Econometrics and Quantitative Economics
  • Management Science
  • Business Statistics

Jobs that require a credential BLS Occupational Requirements Survey 2023

BLS publishes no credential figures for this occupation.

Look up certifications, training and licenses U.S. Department of Labor

These open in a new tab and send only the occupation's public code. More in the Guide

See where your own career could go Start by uploading your resume Browse careers

BLS AI exposure categories (Aug 2026) · BLS Employment Projections 2025–35 · O*NET 31.0 · Task ratings: Eloundou et al., Science (2024) · Microsoft "Working with AI" v1.1 · Anthropic Economic Index (2026-06-26) · Schubert, Stansbury and Taska · NCES CIP–SOC · Census ACS 2024 · BLS JOLTS · Brynjolfsson, Chandar and Chen, Stanford (Aug 2026)

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