Data scientists: Salary, Job Outlook, Education and Career Path

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.

Short answer: Data scientists earn a national median annual wage of $120,230 (BLS, May 2025). Employment is projected to change +34.6% from 2025 to 2035 (all occupations: +3.5%), with about 24,800 openings per year. The typical entry credential is bachelor's degree.

Median annual wage
$120,230
May 2025 Verified data
Projected change
+34.6%
2025 to 2035 Official projection
Openings per year
24,800
Average, 2025 to 2035 Official projection
Employment
262,440
OEWS, May 2025 Verified data

Data scientists salary

$0$100K$200KUnited States$120,230
National annual wages for data scientists, May 2025: 10th percentile $67,240, 25th $85,660, median $120,230, 75th $158,880, 90th $199,130. The bar spans the 25th to 75th percentile, the thin line spans the 10th to 90th percentile, and the red mark is the median.
MeasureAnnualHourly
10th percentile$67,240$32.33
Median (50th percentile)$120,230$57.80
Mean (average)$126,800$60.96
90th percentile$199,130$95.74

These wages describe everyone employed in the occupation, from new entrants to experienced workers. They are not starting salaries and not earnings of graduates from any particular program. Verified data

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025, National. May 2025 reference period. Published April 30, 2026. Retrieved October 18, 2026. Methodology.

Data scientists pay by state and metro area

$69.5K$163K
Median annual wage for data scientists by state, May 2025. Highest: Washington at $163,350. States in gray have no published estimate.
Table: median wage and employment for all 51 states and territories
StateMedian10th pct90th pctEmploymentLocation quotient
Alabama$103,120$59,130$161,5901,7400.49
Alaska$84,110$51,550$138,4002300.43
Arizona$107,240$65,200$161,7304,5600.83
Arkansas$109,390$67,090$169,1105300.24
California$141,590$77,480$224,92039,3101.28
Colorado$117,400$74,470$189,6306,2801.29
Connecticut$126,340$75,700$204,6801,7600.61
DelawareData unavailable7700.94
District of Columbia$126,490$89,750$209,7302,6802.27
Florida$115,820$63,080$174,14010,2400.61
Georgia$104,340$67,750$170,0109,2601.12
Hawaii$102,130$77,270$172,8703000.29
Idaho$89,380$63,980$169,0101,3500.94
Illinois$106,560$68,810$168,88010,5201.02
Indiana$91,470$58,750$141,2503,5800.66
Iowa$95,830$56,070$146,7002,3000.87
Kansas$98,130$60,520$154,9904900.2
Kentucky$91,760$61,990$156,4801,5400.46
Louisiana$78,760$53,050$128,2101,3000.4
Maine$90,880$60,280$138,5301,2101.12
Maryland$136,370$77,930$213,2703,3400.72
Massachusetts$131,750$81,030$206,2209,4201.53
Michigan$100,590$60,830$162,6707,3600.99
Minnesota$128,800$65,730$179,6404,0200.81
Mississippi$69,490$43,940$125,9904400.23
Missouri$97,090$58,960$151,3804,7300.95
Montana$100,490$67,120$167,1502200.25
Nebraska$98,230$66,230$133,1401,9801.15
Nevada$98,540$57,150$164,1101,6800.64
New Hampshire$100,620$73,480$155,0201,1000.95
New Jersey$135,280$80,720$203,9506,4300.89
New Mexico$95,850$49,990$133,6605600.38
New York$130,460$73,330$214,08023,9701.47
North Carolina$119,090$65,970$172,83011,4301.37
North Dakota$81,900$59,030$126,7102100.29
Ohio$102,630$61,710$160,6506,1000.65
Oklahoma$86,310$58,690$145,5801,9000.66
Oregon$125,990$78,110$206,5502,1400.65
Pennsylvania$106,850$63,340$162,29013,8101.35
Puerto Rico$80,350$56,880$108,8901000.07
Rhode Island$102,440$75,310$158,8201,1601.37
South Carolina$91,990$61,600$156,0003,7500.96
South Dakota$96,150$67,510$145,5102200.29
Tennessee$100,330$60,200$156,1602,7900.5
Texas$122,090$64,540$170,78025,8601.09
Utah$108,090$60,680$167,8904,3601.49
Vermont$127,070$76,570$160,4302000.38
Virginia$126,430$76,420$207,8908,9201.29
Washington$163,350$79,930$220,0409,6001.6
West Virginia$85,090$57,500$125,1003900.33
Wisconsin$106,680$76,300$168,8104,3700.88

A location quotient above 1 means the occupation is more concentrated in that state than in the nation overall.

Metro areas with the most jobs

New York-Newark-Jersey City, NY-NJ23,160
San Francisco-Oakland-Fremont, CA10,460
Dallas-Fort Worth-Arlington, TX10,120
Los Angeles-Long Beach-Anaheim, CA9,850
Washington-Arlington-Alexandria, DC-VA-MD-WV9,260
Seattle-Tacoma-Bellevue, WA8,370
Chicago-Naperville-Elgin, IL-IN7,940
Boston-Cambridge-Newton, MA-NH7,930
Atlanta-Sandy Springs-Roswell, GA6,820
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD6,480

Highest paying metro areas

San Jose-Sunnyvale-Santa Clara, CA$185,080
San Francisco-Oakland-Fremont, CA$170,110
Idaho Falls, ID$167,840
Seattle-Tacoma-Bellevue, WA$164,740
Kennewick-Richland, WA$156,830
North Port-Bradenton-Sarasota, FL$146,980
Bridgeport-Stamford-Danbury, CT$141,760
New York-Newark-Jersey City, NY-NJ$135,980
Trenton-Princeton, NJ$135,320
Baltimore-Columbia-Towson, MD$134,320
Among metro areas with at least 100 workers in this occupation.
Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025, State. May 2025 reference period. Published April 30, 2026. Retrieved October 18, 2026. Methodology.
Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025, Metropolitan areas. May 2025 reference period. Published April 30, 2026. Retrieved October 18, 2026. Methodology.

Job outlook for data scientists

2025 (actual)275,6002035 (projected)371,000
BLS projects employment of data scientists to go from 275,600 in 2025 to 371,000 in 2035, a change of +34.6% (+95,400 jobs). All occupations are projected to grow +3.5%.
  • Average annual openings, 2025 to 2035: 24,800. Openings include new jobs plus replacement needs when workers retire or leave the occupation. Official projection
  • Share of workers who are self-employed (2025): 1.9%.
  • Read the official BLS Occupational Outlook Handbook profile.

These are official BLS projections. ConnectPrep does not alter them or present its own forecasts as official statistics.

Source: U.S. Bureau of Labor Statistics, Employment Projections, Table 1.2: Occupational projections, 2025-35, and worker characteristics, 2025. Base year 2025, projected year 2035. Published August 27, 2026. Retrieved October 18, 2026. Methodology.

Education and training for data scientists

Typical entry education
Bachelor's degree
Related work experience
None
On-the-job training
None
O*NET Job Zone
Job Zone Four: Considerable Preparation Needed

Highest education of people working in this occupation

Less than high school0.5%
High school diploma2.8%
Some college, no degree6.4%
Associate's degree4%
Bachelor's degree38.9%
Master's degree35.5%
Doctoral or professional11.8%
Share of workers age 25 and over by highest education completed, 2023-24. The most common level is a bachelor's degree (38.9%).
Source: U.S. Bureau of Labor Statistics, Employment Projections, Education and training tables 5.1 to 5.4. Attainment 2023-24 (ACS); wages 2025; projections 2025-35. Published August 27, 2026. Retrieved October 18, 2026. Methodology.

O*NET describes this preparation level as: Most of these occupations require a four-year bachelor's degree, but some do not.

Degrees and programs that lead to this career

Programs officially mapped to this occupation in the NCES and BLS CIP to SOC crosswalk. A mapping means the program commonly prepares students for the occupation, not that every graduate works in it. Official crosswalk

Source: National Center for Education Statistics and U.S. Bureau of Labor Statistics, CIP 2020 to SOC 2018 Crosswalk. CIP 2020 and SOC 2018 taxonomies. Published April 30, 2020. Retrieved October 18, 2026. Methodology.

Skills, knowledge, and daily work

Most important skills

Mathematics4.4
Critical Thinking4.3
Reading Comprehension3.9
Speaking3.6
Active Learning3.6
Active Listening3.5
Writing3.5
Monitoring3.3
O*NET importance rating on a 1 to 5 scale.

Most important knowledge areas

Mathematics4.5
Computers and Electronics4.2
English Language3.0
Engineering and Technology2.9
Education and Training2.3
Communications and Media2.2
Administration and Management2.1
Design2.1
O*NET importance rating on a 1 to 5 scale.

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.
  • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
  • Clean and manipulate raw data using statistical software.

Technology skills

  • Amazon Web Services AWS software (in demand)
  • Apache Hadoop (in demand)
  • Apache Spark (in demand)
  • C++ (in demand)
  • Git (in demand)
  • Microsoft Azure software (in demand)
  • Microsoft Excel (in demand)
  • Microsoft Power BI (in demand)
  • Microsoft PowerPoint (in demand)
  • PyTorch (in demand)
  • Python (in demand)
  • R (in demand)
  • SAS (in demand)
  • Snowflake (in demand)
  • Structured query language SQL (in demand)
  • Tableau (in demand)

Transferable skills for career changers: Complex Problem Solving, Programming, Judgment and Decision Making, Time Management, Social Perceptiveness, Coordination.

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. ConnectPrep has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications.
Source: National Center for O*NET Development for USDOL/ETA, O*NET 31.0 Database (August 2026 release). Database release 31.0, August 2026; element dates vary by occupation. Published August 25, 2026. Retrieved October 18, 2026. Methodology.

Is it worth it? Model the cost of getting there

Use the ROI calculator to compare the cost of the education this career usually requires against staying on your current path. It starts from the official wage distribution above, and you can change every assumption.

Frequently asked questions

How much do data scientists make?

The national median annual wage for data scientists was $120,230 in May 2025, according to the BLS Occupational Employment and Wage Statistics program. The lowest paid 10 percent earned less than $67,240 and the highest paid 10 percent earned more than $199,130. These figures cover all workers in the occupation, not only new entrants.

What education do data scientists need?

BLS lists bachelor's degree as the typical education needed to enter this occupation, with none of related work experience and none on-the-job training typically needed to become competent.

Is data scientists a growing career?

BLS projects employment of data scientists to change +34.6% from 2025 to 2035, compared with +3.5% for all occupations. About 24,800 openings are projected each year on average, including openings from workers who retire or change occupations.

Which states pay data scientists the most?

By median annual wage in May 2025, the highest paying states were Washington ($163,350), California ($141,590), Maryland ($136,370). Pay differences partly reflect differences in living costs.

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