Data Scientists

United States SOC 15-2051.00 AI & Data Confidence ★★★★★

Also called: Analytics Consultant, Applied Scientist, Data Analyst, Data Analytic Scientist, Data Analytics Scientist, Data Analytics Specialist, Data Architect, Data Consultant

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.

Median annual pay
$120,230
25th–75th pct. $85,660–$158,880
Top pay (est.)
$258,900
Top 10% $199,130
Pay in 5 years
$141,500est.
2031
Pay in 10 years
$166,500est.
$143,200–$193,300
Outlook score
65/100
★★★☆☆ Good
AI replacement risk
73%
High
Job growth (10 yr)
+34.6%
25K openings / yr

What data scientists do

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.

Typical tasks

Typical path into the job (BLS)

Education Bachelor's degreeRelated experience NoneOn-the-job training NoneO*NET Job Zone 4

Data Scientists salary

The median annual wage for data scientists is $120,230 (BLS OEWS May 2025; BLS Employment Projections 2025–35, national). The lowest 10 percent earn less than $67,240 and the highest 10 percent earn more than $199,130. The mean annual wage is $126,800.

Median
$120,230
Mean
$126,800
10th percentile
$67,240
Entry level
25th percentile
$85,660
75th percentile
$158,880
90th percentile
$199,130
Top earners
Mean hourly wage
$60.00
8.3× the federal minimum ($7.25)
In Japanese yen
¥18.91M
≈ at 157.25 JPY/USD

The mean hourly wage of $60.00 is 8.3× the federal minimum wage of $7.25. State minimums are higher in most large states. Minimum wage by state →

How does your pay compare with people your age?

Your numbers are not sent or stored. The comparison uses this occupation's BLS wage percentiles, adjusted for age with BLS median weekly earnings by age group (Q3 2026).

Pay by percentile

Entry level (10th pct.)
$67,240
Early career (25th pct.)
$85,660
Mid career (median)
$120,230
Experienced (75th pct.)
$158,880
Top earners (90th pct.)
$199,130

Annual wage percentiles from the BLS Occupational Employment and Wage Statistics (OEWS). Percentiles are a good proxy for pay by experience.

How median, percentiles and the pay range are defined →

Projected pay for Data Scientists (3, 5 and 10 years)est.

Today $120,230 → in 3 years $132,600 → in 5 years $141,500 → in 10 years $166,500 (10-year range $143,200–$193,300). The model assumes pay growth of +3.3% per year.

$120,230
Now
2026
$132,600
In 3 yrs
2029
$122,400–$144,300
$141,500
In 5 yrs
2031
$127,500–$157,600
$166,500
In 10 yrs
2036
$143,200–$193,300

What drives the annual growth rate

Base wage growth +3.0%Labor demand +1.0%AI impact -0.69%Total +3.3% / yr

Projected pay = current pay × (1 + annual growth)^years. The annual growth rate starts from a base wage-growth rate and adds or subtracts labor demand (BLS projected employment growth), wage momentum and AI replacement risk for each occupation. Projections are not guarantees. How it is calculated →

Outlook score for Data Scientists

65/100
★★★☆☆
Good · ranked #134 of all U.S. occupations
Pay level
90 pts
AI resistance
27 pts
Entry barrier
47 pts
Annual openings
57 pts
Projected growth
100 pts

Each component is a percentile rank among all occupations in the same country (0–100). Weights: labor demand 25, wage momentum / openings 15, pay level 15, AI resistance 25, aging workforce 10 (Japan only), entry barrier 10.

Will AI replace Data Scientists? AI replacement risk

73%
High
Ranked #758 safest from AI among all U.S. occupations
Very lowLowModerateHighVery high

How AI is changing this job

A written analysis for this occupation is being prepared.

AI replacement risk compares the parts of a job that are easy to hand to AI or software (processing information, documentation, repetitive computer work) with the parts that are hard to automate (physical work, working closely with people, judgment in unpredictable settings), using O*NET work activities, work context, skills and knowledge. The result is a relative position among all occupations in the country, scaled to 0–100%. Methodology →

Labor demand for Data Scientists

Employment
262K
BLS OEWS
Projected employment
371K
2025–35
Projected change
+34.6%
ranked #3 for growth
Annual openings
25K
growth + replacement needs
Demand score
Very high
84/100
Typical entry education
Bachelor's degree
Work experience
None
in a related occupation
On-the-job training
None

Employment projections are from the BLS Employment Projections program (2025–35). Annual openings include both new jobs and replacement of workers who leave the occupation.

The same job in Japan

Data Scientists
United States
データサイエンティスト
Japan
Median / average pay$120,230¥6.12M
≈ $38,915
Pay in 10 years (est.)$166,500¥6.54M
Outlook score6557
AI replacement risk73% High73% High
Workers262K—

Matched by occupation (SOC code). Yen converted at 157.25 JPY/USD for reference; Japanese figures are averages, U.S. figures are medians, and the surveys define occupations differently.

Skills, education and requirements for Data Scientists

Key skills

Mathematics
5.0
Reading Comprehension
4.6
Critical Thinking
4.6
Active Learning
4.4
Writing
4.1
Complex Problem Solving
4.1
Judgment and Decision Making
4.0
Active Listening
3.8

O*NET skill level ratings (0–7).

Key knowledge areas

Computers and Electronics
5.8
Mathematics
5.7
Engineering and Technology
3.5
English Language
3.4
Administration and Management
3.0
Education and Training
2.9
Design
2.5
Administrative
2.4

What the work involves

Analyzing Data or InformationProcessing InformationUpdating and Using Relevant KnowledgeInterpreting the Meaning of Information for OthersThinking CreativelyMaking Decisions and Solving ProblemsGetting InformationProviding Consultation and Advice to Others

Important abilities

Deductive ReasoningInductive ReasoningOral ComprehensionOral ExpressionWritten ComprehensionMathematical Reasoning

Training before entry

None / short demo
44%
1–3 months
20%
3–6 months
12%
Up to 1 month
12%
6–12 months
8%
1–2 years
4%

Related work experience

None
28%
1–2 years
16%
2–4 years
16%
6–12 months
16%
4–6 years
12%
3–6 months
12%

Job Zone 4 — considerable preparation needed (O*NET)

Difficulty of entry: ★★☆☆☆ Fairly easy (from education, training, experience and Job Zone)

How to become data scientists

Typical education
Bachelor's degree
BLS
Related experience
None
On-the-job training
None

A step-by-step guide for this occupation is being prepared. The education, training and experience data above show the typical path.

Career path and how to earn more as data scientists

Career-path guidance is being prepared. Pay by percentile is shown in the Pay section.

Pay and employment figures are national statistics. Projected pay, outlook scores and AI replacement risk are estimates from the Shigoto Zukan model, not guarantees. To request a correction, use the contact form. How to read the data
Sources: BLS OEWS May 2025; BLS Employment Projections 2025–35; O*NET 31.0 Database by USDOL/ETA (CC BY 4.0), modified by Shigoto Zukan. Pay ranges, projections and scores are Shigoto Zukan estimates.