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Computer Science Data Science Jobs in Colorado (NOW HIRING)

Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis ...

CO

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is ...

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis ...

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis ...

Strong educational pedigree in Data Science, Computer Science, Statistics, Mathematics, Engineering ... Economics, or another quantitative discipline * AWS AI or machine learning certifications, such as ...

AI and Data Science Engineer III

Denver, CO · On-site +1

$117K - $141K/yr

Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field * 4+ years of experience building and delivering large language model or generative artificial ...

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Computer Science Data Science information

See Colorado salary details

$39.4K

$129.1K

$206.6K

How much do computer science data science jobs pay per year?

As of Jun 14, 2026, the average yearly pay for computer science data science in Colorado is $129,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $143,000.00 per year, depending on experience, location, and employer.

Can a computer scientist work in data science?

Yes, computer scientists often work in data science because they have strong programming, algorithms, and analytical skills essential for data analysis, machine learning, and statistical modeling. Many data scientists have backgrounds in computer science and use tools like Python, R, and SQL to analyze large datasets and develop predictive models.

Is 40 too late for data science?

Computer Science Data Science is a field where individuals can enter at any age, including 40, as long as they develop relevant skills such as programming, statistics, and machine learning. Many professionals successfully transition into data science later in their careers by gaining certifications, building portfolios, and gaining practical experience.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on the industry, location, and skill set. Proficiency in programming languages like Python or R and experience with machine learning tools can influence salary levels.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in machine learning, programming, and domain knowledge remain essential for designing and deploying AI solutions effectively.
What are popular job titles related to Computer Science Data Science jobs in Colorado? For Computer Science Data Science jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Computer Science Data Science jobs? Cities in Colorado with the most Computer Science Data Science job openings:

$108K/yr

Other

Posted 18 days ago


Job description

This position is located in the Department of Health & Human Services (HHS), Centers for Medicare & Medicaid Services (CMS), Office of Human Capital, Human Capital Strategy & Systems Group, Division of Workforce Analytics & Accountability.
As a Data Scientist, GS-1560-13, you will design, develop, and implement the analytical, statistical, and programming mechanisms necessary to collect, organize, analyze, and interpret unique and specialized human resources (HR) data sets.Qualifications:ALL QUALIFICATION REQUIREMENTS MUST BE MET BY THE CLOSING DATE OF THIS ANNOUNCEMENT.
Your resume (limited to no more than 2 pages) must include detailed information as it relates to the responsibilities and specialized experience for this position. Evidence of copying and pasting directly from the vacancy announcement without clearly documenting supplemental information to describe your experience will result in an ineligible rating. This will prevent you from receiving further consideration.

In order to qualify for the GS-13, you must meet the following: You must demonstrate in your resume at least one year (52 weeks) of qualifying specialized experience equivalent to the GS-12 grade level in the Federal government, obtained in either the private or public sector, to include:
1) Experience leading the end-to-end data life-cycle, including data acquisition, integration, governance, analysis, and dissemination, to transform diverse data sources into actionable insights; 2) Experience leveraging advanced analytics and statistical modeling techniques (e.g., multivariate regression, predictive modeling, machine learning algorithms, or similar methods) to inform organizational strategy and guide data-driven decision-making; AND 3) Experience communicating complex analytical findings through clear, concise, and compelling narratives supported by data visualizations (e.g., dashboards, charts, and executive briefings) tailored to diverse stakeholder audiences.
Experience refers to paid and unpaid experience, including volunteer work done 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.Education:Education Requirement: In addition to meeting the qualification requirements, all candidates must have the following educational requirements:

Basic Requirements:

  1. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

    or

  2. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.


TRANSCRIPTS are required to verify satisfactory completion of the educational requirement listed above. Failure to submit a copy of your transcripts at the time of application WILL result in an ineligible rating. Please see "Required Documents" section below for what documentation is required at the time of application.
Click the following link to view the occupational questionnaire: https://apply.usastaffing.gov/ViewQuestionnaire/12968505Employment Type: OTHER