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Full Time Data Science Jobs in Colorado (NOW HIRING)

... full-time to work with other Data Science and Machine Learning folks to build and deploy data to their AWS cloud environment. This is a great opportunity in a highly visible hybrid role with great ...

... full-time to work with other Data Science and Machine Learning folks to build and deploy data to their AWS cloud environment. This is a great opportunity in a highly visible hybrid role with great ...

Data Scientist III

Denver, CO · On-site

$117K - $167K/yr

The role reports into the Decision Science Manager and will focus on creating insight to drive the ... In addition to the base and bonus, full-time employment, and more. For information about our ...

Data Scientist III

Denver, CO · On-site

$117K - $167K/yr

The role reports into the Decision Science Manager and will focus on creating insight to drive the ... In addition to the base and bonus, full-time employment, and more. For information about our ...

Data Engineer

Denver, CO

$120K - $160K/yr

DR Kharon is seeking a full-time Data Engineer based in Denver, Colorado. This role requires in ... Collaborate with engineers, architects, and data scientists to implement scalable solutions to ...

Senior Data Analyst

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ...

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ...

Bachelor's degree in Computer Science, Data Analytics, or Engineering (Master's or Ph.D. preferred ... This compensation range is based on a full time schedule. Trimble reserves the right to ultimately ...

Data Scientist

Aurora, CO · On-site

$50K - $120K/yr

This is a full-time position offering the opportunity to support a U.S. Government customer. The ... Citizenship. * 3+ years of experience and a Bachelor's Degree in Computer Science or a related ...

This is a full-time position offering the opportunity to support a U.S. Government customer. The ... Citizenship. * 3+ years of experience and a Bachelor's Degree in Computer Science or a related ...

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Full Time Data Science information

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it is unlikely to fully replace them. Data scientists are needed to interpret complex results, develop models, and provide strategic insights that require domain expertise and critical thinking. Their skills in programming, statistical analysis, and understanding business context remain essential in leveraging AI effectively.

Is 30 too late for data science?

Full-time data science roles typically value skills and experience over age, and many professionals transition into the field later in life. Gaining proficiency in programming languages like Python or R, along with understanding machine learning concepts, can help late entrants succeed. Age is generally not a barrier if relevant skills and a strong portfolio are developed.

Is 40 too late for data science?

Full-time data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance employability regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.

Are data science jobs still in demand?

Data science jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in programming, statistical analysis, and machine learning tools like Python and R are highly sought after, and the field continues to grow as organizations prioritize data insights for competitive advantage.

What is the difference between Full Time Data Science vs Data Analyst?

AspectFull Time Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Business, or related fields
Work EnvironmentCollaborative teams, often in tech, finance, or healthcare industriesBusiness units, marketing, or operations teams
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and consulting firms
Common Search & ComparisonFull Time Data Science vs Data Analyst

Full Time Data Science roles typically require advanced technical skills and focus on building predictive models and algorithms, while Data Analysts primarily interpret data, generate reports, and support decision-making. Both roles are essential in data-driven organizations but differ in scope and technical depth.

What jobs in the US pay 300,000 a year?

In data science, senior roles such as Lead Data Scientist, Data Science Director, or Chief Data Officer can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and industry expertise. These positions often require advanced degrees, strong programming skills, and leadership responsibilities, typically found in large corporations or tech firms.
What are the most commonly searched types of Data Science jobs in Colorado? The most popular types of Data Science jobs in Colorado are:
Infographic showing various Full Time Data Science job openings in Colorado as of June 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
Data Scientist

$109K - $142K/yr

Full-time

Posted 19 days ago


Air Force Civilian Service rating

8.0

Company rating: 8.0 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

19th of 46 rated military and defense


Job description

Join NORAD & USNORTHCOM as a key technical leader in our mission for decision superiority.
The Air Force Civilian Service (AFCS) is looking for a full-time Data Scientist Engineer, GS-1560-13, at the Logistics Operations Division, Peterson SFB, Colorado Springs, CO.
Salary Range: $109,000 - 142,000
Relocation and recruitment incentives may be available based on eligibility.
Depending on the type of position you are selected for, you will be required to serve a 1-year probationary period OR 2-year trial period.
This position can close at any time. Apply Now!
As our Artificial Intelligence (AI) & Knowledge Management Engineer, you will architect the future of our data ecosystem. You will spearhead the strategy and development of cutting-edge AI, Machine Learning (ML), and big data solutions that directly impact national security. This is a unique opportunity to lead high-visibility, mission-critical projects, transforming complex data into actionable intelligence and shaping the technological landscape of our command. If you are a visionary data scientist ready to make a tangible impact, we want to hear from you.
US citizenship is required
Ability to obtain/maintain a Top Secret/SCI Clearance
This is a designated drug testing position
This is a Mission Essential & Key Position. Active Guard and Reserve personnel are not qualified.
Cyberspace Workforce - required to achieve both the foundational (within 9 months) and resident (within 12 months) qualification requirements.
Academic Requirements: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/
Knowledge of quantitative methods, data science, big data analytics, machine learning, AI, and operations research analysis techniques to conceptualize, develop, and apply models for complex problem-solving and decision support.
Knowledge and skill in designing, developing, and integrating data systems, including cloud platforms, data warehousing, interoperability, system architecture, and lifecycle management.
Skill in developing and utilizing data collection methods, building models and simulations, and applying predictive analytics to operational and strategic planning.
Skill in software programming languages (e.g., jQuery, JavaScript, HTML) and applying current software engineering principles to design, develop, test, and implement custom applications and solutions.
Knowledge of data governance frameworks, standards, metadata schemas, compliance policies, and evaluation methodologies to ensure data integrity, security, and interoperability.
A nationally recognized professional certification in Data Science, Data Analytics, or a directly related sub-field; and professional experience in operations research or computer science is highly desirable.
Employee may be required to work and/or be "on call" after normal duty hours, which may include evenings, weekends or holidays and is subject to short- or no-notice recall to duty during exercises, crises, or contingencies.
Certified Knowledge Management Practitioner highly desired
Desired Experience: Knowledge Management, AI, Machine Learning, Data Architect
You will be evaluated for this job based on how well you meet the qualifications above.
Your application package (resume, supporting documents) will be used to determine your eligibility, and qualifications.
Click the apply button to complete an application and upload your two-page resume to comply with the Merit Hiring Plan (PDF or Word Doc) and/or additional documents (Transcripts, certifications, Vet Docs (DD214), SF-50). As of 27 September 2025, Federal agencies will only accept resumes up to two pages in length. To learn more about the new resume requirements visit https://afciviliancareers.com/resumetips/ OR https://www.opm.gov/policy-data-oversight/hiring-information/merit-hiring-plan-resources/agency-guidance-on-the-two-page-limit-on-resume-length/
To receive additional information about current and future job openings with AFCS via email notification, please subscribe at www.Afciviliancareers.com and sign up to "Get Career Updates."
Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
AFCS is Equal Opportunity Employer. U.S. citizenship required. Must be of legal working age.

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