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Computational Social Science Jobs in Colorado (NOW HIRING)

3M HEALTHCARE

Machine Learning Scientist

Boulder, CO · On-site +1

Professional Experience & Qualifications PhD in machine learning, computational science, Earth ... social and environmental impact through activities that are part of their core business strategies ...

3M HEALTHCARE

Machine Learning Scientist

Boulder, CO · On-site +1

Professional Experience & Qualifications PhD in machine learning, computational science, Earth ... social and environmental impact through activities that are part of their core business strategies ...

3M HEALTHCARE

Senior Machine Learning Scientist

Boulder, CO · On-site +1

$96K - $131K/yr

Professional Experience & Qualifications PhD in machine learning, computational science, Earth ... social and environmental impact through activities that are part of their core business strategies ...

3M HEALTHCARE

Senior Machine Learning Scientist

Boulder, CO · On-site +1

$96K - $131K/yr

Professional Experience & Qualifications PhD in machine learning, computational science, Earth ... social and environmental impact through activities that are part of their core business strategies ...

Anduril Industries

Research Scientist

Broomfield, CO · On-site

$126K - $167K/yr

S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science ... or social security numbers) at any stage of our hiring process. Our legitimate recruitment is ...

MBH Architects

Design Technology Director

Denver, CO · On-site

$140 - $200/hr

Lead development and strategic evolution of computational design workflows, custom scripts, and ... A strong sense of community, dedication to sustainability and social impact, and a culture that ...

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Computational Social Science information

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$57

$77

How much do computational social science jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for computational social science in Colorado is $57.76, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $77.36 per hour, depending on experience, location, and employer.

What is computational social science?

Computational social science is an interdisciplinary field that uses computational methods, such as data analysis, simulations, and modeling, to study social phenomena and human behavior. It combines tools from computer science, statistics, and social sciences to analyze large-scale social data, like social media activity, online interactions, or census records. This approach helps researchers uncover patterns and trends that would be difficult or impossible to detect using traditional social science methods alone.

What types of data sources and analytical methods are commonly used in computational social science roles?

In Computational Social Science positions, professionals typically work with large and diverse datasets, including social media feeds, digital communication records, surveys, and online behavioral data. Analytical methods often involve a mix of quantitative techniques such as network analysis, machine learning, natural language processing, and agent-based modeling. Collaborative projects may require integrating insights from computer science, sociology, and statistics, making interdisciplinary teamwork a frequent part of the role. Adapting to evolving data privacy guidelines and ensuring ethical data use are also important daily considerations.

What are the key skills and qualifications needed to thrive as a computational social scientist, and why are they important?

To thrive as a Computational Social Scientist, you need a solid background in social science research methods, statistics, and programming—often supported by an advanced degree in a relevant field. Familiarity with data analysis tools such as Python, R, machine learning libraries, and experience with large datasets or social network analysis software is typical. Strong analytical thinking, interdisciplinary collaboration, and effective communication skills help you interpret results and convey insights to diverse audiences. These competencies are crucial for generating impactful, data-driven insights into complex social phenomena and informing decision-making.

What is the difference between Computational Social Science vs Data Scientist?

AspectComputational Social ScienceData Scientist
Required CredentialsSocial science background, programming skillsStatistics, programming, domain knowledge
Work EnvironmentResearch institutions, academia, social research firmsTech companies, finance, healthcare
Employer & Industry UsageUniversities, government agencies, social research organizationsCorporations, startups, consulting firms
Common Search & ComparisonYesYes

Computational Social Science focuses on analyzing social phenomena using computational methods rooted in social science theories, often within academic or research settings. Data Scientists, however, apply statistical and machine learning techniques to large datasets across various industries. While both roles require programming skills, Computational Social Science emphasizes social theory and research, whereas Data Science centers on data analysis and business insights.

What can I do with a computational social science degree?

A computational social science degree prepares individuals for roles such as data analyst, social data scientist, or research analyst, where they analyze social data using statistical tools, programming languages like Python or R, and modeling techniques. Graduates can work in academia, government agencies, or private sector organizations focused on social research, policy analysis, or market research. Strong skills in data analysis, machine learning, and social theory are often essential for these positions.

What are popular job titles related to Computational Social Science jobs in Colorado?

For Computational Social Science jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Computational Social Science jobs in Colorado look for?

The top searched job categories for Computational Social Science jobs in Colorado are:

What cities in Colorado are hiring for Computational Social Science jobs?

Cities in Colorado with the most Computational Social Science job openings:

Computational Social Science jobs near you
Infographic showing various Computational Social Science job openings in Colorado as of August 2026, with employment types broken down into 2% As Needed, 75% Full Time, 19% Part Time, 2% Temporary, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $120,135 per year, or $57.8 per hour.

Principal Researcher for AI Risk Management

US Department of Commerce

Boulder, CO

$118K/yr

Full-time

Posted 2 days ago

New

U.S. Department Of Commerce rating

8.9

Company rating: 8.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

120th of 848 rated public administrative organizations

Job description

NIST is seeking an AI risk management expert to drive national leadership in trustworthy AI technology. You will maintain NIST's AI Risk Management Framework (AI RMF), develop related ITL guidelines such as the AI RMF Playbook, and foster community engagement to promote widespread AI RMF adoption and help others manage AI risk across sectors.
This notice is issued under direct-hire authority to recruit new talent to occupations for which NIST has a severe shortage of candidates.

Qualifications:For the Computer Scientist ZP-1550
Basic Requirements:
Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and coursework must be from accredited or pre-accredited institutions.
For the ZP-1550-IV: In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience at the GS-12 level (ZP-III at NIST). The specialized experience is defined as:
  • Experience conducting technical research or development work to study or implement artificial intelligence (AI) and machine learning (ML) tools.
  • Experience drafting technical papers, guidelines, or standards intended to guide a broad community of AI/ML practitioners regarding best practices for applying AI/ML and managing AI/ML risk, either from a computational or behavioral and social sciences perspective.
  • Experience serving as a technical representative or coordinator in multi-stakeholder or interagency technology-related fora, such as working groups or standards committees.
For the ZP-1550-V: In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience at the GS-14 level (ZP-IV at NIST). The specialized experience is defined as:
  • Experience conducting technical research or development work to study or implement artificial intelligence (AI) and machine learning (ML) tools.
  • Experience formulating, leading, or managing complex computer science projects or technology policy initiatives of considerable scope and impact related to AI/ML.
  • Experience developing and authoring technical papers, guidelines, or standards intended to guide a broad community of AI/ML practitioners regarding best practices for applying AI/ML and managing AI/ML risk, leveraging either computational or behavioral and social sciences perspectives.
  • Experience leading collaborative work in multi-stakeholder or interagency technology-related fora, such as working groups or standards committees, to influence technology programs or technical consensus.

For the Social Scientist ZP-0101
Basic Requirements:
Degree: behavioral or social science; or related disciplines appropriate to the position.
OR
A combination of education and experience that provided the applicant with knowledge of one or more of the behavioral or social sciences equivalent to a major in the field.
OR
Four years of appropriate experience that demonstrated that the applicant has acquired knowledge of one or more of the behavioral or social sciences equivalent to a major in the field.
For the ZP-0101-IV: In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience at the GS-12 level (ZP-III at NIST). The specialized experience is defined as:
  • Experience conducting technical research or development work to study or implement artificial intelligence (AI) and machine learning (ML) tools.
  • Experience drafting technical papers, guidelines, or standards intended to guide a broad community of AI/ML practitioners regarding best practices for applying AI/ML and managing AI/ML risk, either from a computational or behavioral and social sciences perspective.
  • Experience serving as a technical representative or coordinator in multi-stakeholder or interagency technology-related fora, such as working groups or standards committees.
For the ZP-0101-V: In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience at the GS-14 level (ZP-IV at NIST). The specialized experience is defined as:
  • Experience conducting technical research or development work to study or implement artificial intelligence (AI) and machine learning (ML) tools.
  • Experience formulating, leading, or managing complex computer science projects or technology policy initiatives of considerable scope and impact related to AI/ML.
  • Experience developing and authoring technical papers, guidelines, or standards intended to guide a broad community of AI/ML practitioners regarding best practices for applying AI/ML and managing AI/ML risk, leveraging either computational or behavioral and social sciences perspectives.
  • Experience leading collaborative work in multi-stakeholder or interagency technology-related fora, such as working groups or standards committees, to influence technology programs or technical consensus.

Experience includes paid and unpaid experience, including volunteer work through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills, and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. The qualification requirements in this vacancy announcement are based on the U.S. Office of Personnel Management (OPM) Qualification Standards Handbook. If requesting reconsideration of your qualification determination, please refer to the following site: Applicant ReconsiderationEducation:Social Scientist, ZP-0101: This position allows applicants to qualify with education. Transcripts must be submitted to validate that the education requirement has been met. Unofficial transcripts will be accepted in the application package. However, an official copy will be required before a final offer of employment.
Computer Scientist, ZP-1550: This position has an education requirement. Transcripts must be submitted to validate that the education requirement has been met. Unofficial transcripts will be accepted in the application package. However, an official copy will be required before a final offer of employment.
Use of foreign education for qualifications. An accredited organization must evaluate education completed outside of the U.S. to ensure that it is comparable to education received in accredited institutions in the U.S. Click here to view a listing of accredited organizations from the Department of Education's website. A copy of the foreign education evaluation (containing the results with a course-by-course listing) is required with your application.Employment Type: OTHER

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