Computer and Information Research Scientists

Information TechnologyO*NET 15-1221.00United States

Conduct research into fundamental computer and information science as theorists, designers, or inventors. Develop solutions to problems in the field of computer hardware and software.

COMING SOON See related ASU learning
Median annual earnings
$140,296

50th percentile, United States

Projected change
+20%

2025 to 2035

Typical education
Bachelor's degree

36.2% of the workforce

Employment
42.27K jobs

Growing to 50.73K by 2035

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

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Build the skills

ASU learning related to this career

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

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The work

What computer and information research scientists do

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

  • Analyze problems to develop solutions involving computer hardware and software.
  • Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.
  • Assign or schedule tasks to meet work priorities and goals.
  • Meet with managers, vendors, and others to solicit cooperation and resolve problems.
  • Design computers and the software that runs them.
  • Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers.
  • Evaluate project plans and proposals to assess feasibility issues.
  • Consult with users, management, vendors, and technicians to determine computing needs and system requirements.
  • Participate in multidisciplinary projects in areas such as virtual reality, human-computer interaction, or robotics.
  • Develop and interpret organizational goals, policies, and procedures.
  • Develop performance standards, and evaluate work in light of established standards.

Pay and outlook

What the job pays and where it is heading

Annual earnings range

Reported earnings by percentile, United States

10th percentile
$82,202
25th percentile
$103,563
50th percentile
$140,296
75th percentile
$188,698
90th percentile
$230,630

The gold marker shows the median. Half earn more than $140,296 and half earn less.

Employment outlook

2025 to 2035 projection

+20%much faster than average
202542,265 jobs
2035 projected50,732 jobs

8,467 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.

  • Artificial Intelligence
  • Machine Learning
  • Python (Programming Language)
  • Computer Science
  • Scalability
  • Workflow Management
  • Pipelines
  • Generative Artificial Intelligence
  • Amazon Web Services
  • Automation
  • Software Engineering
  • Data Science
  • Microsoft Azure
  • CI/CD
  • PyTorch (Machine Learning Library)
  • Application Programming Interface (API)
  • Observability
  • SQL (Programming Language)
  • Kubernetes
  • Governance

How the work gets done

Core competencies

Broad capabilities associated with strong performance in this occupation.

Judgment and Decision Making
Considering the relative costs and benefits of potential actions to choose the most appropriate one.
Complex Problem Solving
Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
Critical Thinking
Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
Reading Comprehension
Understanding written sentences and paragraphs in work-related documents.
Systems Analysis
Determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes.
Active Listening
Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
Systems Evaluation
Identifying measures or indicators of system performance and the actions needed to improve or correct performance, relative to the goals of the system.
Programming
Writing computer programs for various purposes.
Active Learning
Understanding the implications of new information for both current and future problem-solving and decision-making.
Speaking
Talking to others to convey information effectively.
Mathematics
Using mathematics to solve problems.
Writing
Communicating effectively in writing as appropriate for the needs of the audience.
Time Management
Managing one's own time and the time of others.
Technology Design
Generating or adapting equipment and technology to serve user needs.
Monitoring
Monitoring/Assessing performance of yourself, other individuals, or organizations to make improvements or take corrective action.
Operations Analysis
Analyzing needs and product requirements to create a design.
Science
Using scientific rules and methods to solve problems.
Coordination
Adjusting actions in relation to others' actions.
Learning Strategies
Selecting and using training/instructional methods and procedures appropriate for the situation when learning or teaching new things.
Instructing
Teaching others how to do something.

In the market

Job titles and employers

Recent job postings in United States

Common job titles

  1. 01Machine Learning Engineers11,471 postings
  2. 02Artificial Intelligence Engineers5,845 postings
  3. 03Site Reliability Engineers5,439 postings
  4. 04Data Scientists4,155 postings
  5. 05Artificial Intelligence Architects1,836 postings
  6. 06Machine Learning Data Scientists1,161 postings
  7. 07Data Engineers991 postings
  8. 08Principal Engineers950 postings
  9. 09Software Engineers915 postings
  10. 10Machine Learning Software Engineers752 postings
  11. 11Forward Deployed Engineers751 postings
  12. 12Infrastructure Engineers616 postings
  13. 13Principal Data Scientists614 postings
  14. 14Engineers571 postings
  15. 15Distinguished Engineers562 postings
  16. 16Directors of AI Engineering528 postings
  17. 17Machine Learning Scientists493 postings
  18. 18Machine Learning Operations Engineers486 postings
  19. 19Lead Site Reliability Engineers473 postings
  20. 20Lead Machine Learning Engineers432 postings

Top employers

  1. 01Apple2,535 postings
  2. 02Capital One2,040 postings
  3. 03Google1,740 postings
  4. 04General Motors1,553 postings
  5. 05Amazon1,321 postings
  6. 06Accenture969 postings
  7. 07JPMorgan Chase761 postings
  8. 08Insight Global508 postings
  9. 09Lumen Technologies507 postings
  10. 10Cisco440 postings
  11. 11Meta438 postings
  12. 12Akamai Technologies413 postings
  13. 13Ford401 postings
  14. 14Coinbase Global400 postings
  15. 15Teradata Operations399 postings
  16. 16Deloitte395 postings
  17. 17CVS Health389 postings
  18. 18Cognizant Technology Solutions385 postings
  19. 19GE Aerospace372 postings
  20. 20Datavant365 postings

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