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Data Scientists

Marketing & Sales+34.6% growth
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InvestigativeConventional
$120,230
Median Salary
per year (national)
+34.6%
Job Growth
2025–2035
275,600
Jobs Today
2025
🎓
Typical Entry-Level Education
Bachelor's degree
OverviewResponsibilitiesT-A-S-KEducationIncome & EmployabilityVideoTraining ProgramsRelated Careers

Overview

Data Scientists has a national median salary of $120,230 per year, with +34.6% projected job growth from 2025–2035. The Bureau of Labor Statistics lists a bachelor's degree as the typical education needed to enter this occupation.

Description

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.

Responsibilities

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.

Work Activities

  • Analyzing Data or Information
  • Working with Computers
  • Processing Information
  • Interpreting the Meaning of Information for Others
  • Getting Information
  • Making Decisions and Solving Problems
  • Updating and Using Relevant Knowledge
  • Communicating with Supervisors, Peers, or Subordinates
  • Documenting/Recording Information
  • Thinking Creatively

Detailed Work Activities

  • Identifying the underlying principles, reasons, or facts of information by breaking down information or data into separate parts.
  • Using computers and computer systems (including hardware and software) to program, write software, set up functions, enter data, or process information.
  • Compiling, coding, categorizing, calculating, tabulating, auditing, or verifying information or data.
  • Translating or explaining what information means and how it can be used.
  • Observing, receiving, and otherwise obtaining information from all relevant sources.
  • Analyzing information and evaluating results to choose the best solution and solve problems.
  • Keeping up-to-date technically and applying new knowledge to your job.
  • Providing information to supervisors, co-workers, and subordinates by telephone, in written form, e-mail, or in person.
  • Entering, transcribing, recording, storing, or maintaining information in written or electronic/magnetic form.
  • Developing, designing, or creating new applications, ideas, relationships, systems, or products, including artistic contributions.

T-A-S-K

Technology, Abilities, Skills & Knowledge

Technology Skills

  • Data base user interface and query software
  • Presentation software
  • Object or component oriented development software
  • Development environment software
  • Analytical or scientific software

Abilities

  • Deductive Reasoning
  • Inductive Reasoning
  • Information Ordering
  • Mathematical Reasoning
  • Written Comprehension

Skills

  • Mathematics
  • Critical Thinking
  • Reading Comprehension
  • Complex Problem Solving
  • Programming

Knowledge

  • Mathematics
  • Computers and Electronics
  • English Language
  • Engineering and Technology
  • Education and Training

Education

Education Levels of Current Workers

The Bureau of Labor Statistics lists a bachelor's degree as the typical education needed to enter this occupation. The chart below shows the highest level of education held by people already working in this field, ages 25 and older. It includes workers who earned more education than the job requires and workers who entered the field under earlier requirements, so the largest bar is not the entry requirement. For example, if someone finished a master's degree and then started working in this field, they are counted under “Master's degree” here, but the job itself typically asks for a bachelor's degree.

0.5%
Less than high school diploma
2.8%
High school diploma or equivalent
6.4%
Some college, no degree
4%
Associate's degree
38.9%
Bachelor's degree
35.5%
Master's degree
11.8%
Doctoral or professional degree

Certificates

Certifications applicable to Data Scientists:

Certificate nameCertifying OrganizationType
Cognitive Project Management for AI (CPMAI)CognilyticaD
Data Analytics 1 (C-311)Smart Automation Certification AllianceD
Data Analytics NC3 Certification 1TraneD
Data Analytics NC3 Certification 2TraneD
Data Services SpecializationMedical Library AssociationD
Decarbonization NC3 CertificationTraneD
GIAC Machine Learning Engineer (GMLE)Global Information Assurance CertificationD
Information Security - Lead Auditor (ISO/IEC 42001-LA)TRECCERTD

Income & Employability

Income Percentile

The median (50th percentile) is the middle wage; 10% earn less than the low figure and 10% earn more than the high figure.

Low (10%)$67,240
Median (50%)$120,230
High (90%)$199,130

Income by Experience

How pay typically grows from entry level (0–2 yrs) to expert (8+ yrs).

Entry (0–2 yrs)$76,370
Mid (3–5 yrs)$100,828
Senior (6–8 yrs)$120,431
Expert (8+ yrs)$151,674

Employability

There are currently 275,600 jobs in this career path (2025). That number is projected to grow to 371,000 by 2035, a +34.6% change.

+34.6% growth

Video Resources

Training Programs

7 programs at 3 schools on Career School App prepare students for a career as Data Scientists, including Computer Information Technology (7).

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This site incorporates information from O*NET Web Services by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). O*NET® is a registered trademark of USDOL/ETA. Used under the CC BY 4.0 license.

Certification, licence and career video information is sourced from CareerOneStop, sponsored by the U.S. Department of Labor, Employment and Training Administration (DOLETA) and the Minnesota Department of Employment and Economic Development (DEED).

Wage, employment and outlook figures are from the U.S. Bureau of Labor Statistics — Occupational Employment and Wage Statistics (OEWS) and the Employment Projections program. Figures describe the occupation, not any particular program or graduate.

Career cluster definitions are from Advance CTE.

Pay-by-experience bands are from Lightcast (as recent as July 2025).