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Full Time Data Science Jobs in Colorado (NOW HIRING)

Talent Navigation Experts

Data Scientist

Denver, CO · Hybrid

... 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 ...

Talent Navigation Experts

Data Scientist

Denver, CO · On-site

... 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 ...

Prescient Edge

Senior Data Scientist

Colorado Springs, CO · On-site

$135K - $210K/yr

... Full-Time Career Level Staff Education Associate Degree Travel Security Clearance Required TS/SCI ... Conduct data science functions on structured and unstructured data to streamline intelligence ...

CACi

Data Scientist - Mid

Denver, CO

$69K - $141K/yr

Data Scientist - Mid Job Category ... Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee ...

CACI International, Inc.

Senior Data Scientist

Denver, CO · On-site

$82K - $172K/yr

Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee ... Lead data science practices within a multi-team Agile delivery environment. Responsibilities:

Kharon

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 ...

NuView Analytics

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 ...

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All JobsData Science JobsFull Time Data Science JobsFull Time Data Science Jobs in Colorado

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:
Full Time Data Science jobs near you
Infographic showing various Full Time Data Science job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Data Scientist

Data Scientist

Apogee Engineering, LLC

Colorado Springs, CO

$155K - $190K/yr

Full-time

Posted 15 days ago

Job description

Apogee is seeking a Data Scientist (DS) to support the U.S. Army Space and Missile Defense Command (USASMDC). This role applies data science, statistics, and automation to mission analytics, helping operational and intelligence teams process large, complex datasets and convert them into actionable insights in support of space and missile defense priorities.

The Data Scientist partners with analysts and technical stakeholders to identify high-value analytic problems, engineer and curate datasets, and develop reproducible pipelines and models to automate workflows and enrich mission data. Responsibilities include data exploration and feature engineering; building and evaluating statistical/ML approaches (as appropriate); developing scripts, tools, and dashboards to support analysis and reporting; and communicating results through clear documentation and briefings. The DS also supports data governance and quality efforts, ensures methods are transparent and repeatable, and transitions solutions into operational use in coordination with Government leads and mission users.

 

This is a full-time opportunity at Petterson Space Force Base (PSFB), CO.

****Contingent Upon Contract Award****


  • Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big-data environment.
  • Demonstrate expert knowledge of Python, and Jupyter Notebooks and/or Jupyter Labs.
  • Author cogent and logical scripts using Python and other applicable languages in a virtual environment using common Integrated Development Environments (IDE) such as VS Code, Spyder, PyScript, or Jupyter Notebooks.
  • Develop and use advanced software programs, algorithms, query techniques, models to solve complex intelligence problems, and automated processes to normalize, integrate, and evaluate data.
  • Debug existing and future Python code; refactor legacy code to ensure continued security, functionality, and compatibility.
  • Document and block-comment all code to ensure recoverability and error-checking, and enhance reading, checking, and maintaining code in accordance with common data science and coding standards, such as PEP-8 for Python,5 or using style-guide features embedded in common IDE applications, such as Spyder, VS Code, PyScript or others upon approval by the Government.
  • Collaborate across multi-discipline teams to ensure connectivity between various data sources and business problems.
  • Identify meaningful insights, interpret, and communicate findings, plus make recommendations to stakeholders.
  • Analyze requirements and evaluate technologies for data science capabilities including Natural Language Processing, Machine Learning, predictive modeling, statistical analysis, and hypothesis testing.
  • Maintain awareness of emerging analytics and big-data technologies.
  • Complete required course NSA NETA1400 (Technology Fundamentals for Analysis); recommended completion of any of the following NSA Courses: NETA2402/NETA2108 (Analysis II), RPTG2238, RPTG2235, RPTG3225, RPTG3222 (Basic Analytical Reporting) or equivalent curriculum.
  • Complete recommended certifications: Data Science Council of America (DASCA) certifications, such as Associate Big Data Engineer (ABDE), Associate Big Data Analyst (ABDA), and Senior Data Scientist (SDS); Google Data Analytics Professional Certificate; IBM Data Science Professional Certification.

Minimum Experience:

Citizenship: Must be a US citizen 
Clearance: Must have and be able to maintain a Top Secret (TS) with Sensitive Compartmented Information (SCI) adjudication
Education: Bachelors Degree
Years of Experience: 7+ years experience in data science/analytics engineering/software development in big-data environments.

Additional Experience:

  • Expert Python skills; heavy use of Jupyter Notebooks/Labs and common IDEs (e.g., VS Code/Spyder).
  • Proven ability to build and sustain automated data workflows (ingest/normalize/integrate/enrich/evaluate) using algorithms, queries, and models.
  • Strong SDLC skills: debugging, refactoring legacy code, and maintaining secure/compatible codebases.
  • Code quality discipline: clear documentation/block comments and adherence to PEP-8 (or equivalent style enforcement).
  • Working knowledge of data architecture and ability to collaborate across multi-discipline teams to connect data sources to mission problems.
  • Ability to communicate findings and recommendations to stakeholders.
  • Experience applying/evaluating ML/NLP, predictive modeling, and statistical methods (hypothesis testing).
  • NSA NETA1400 (Technology Fundamentals for Analysis) completion, or Government-approved equivalent.

Preferred Qualifications:
Additional Experience:

  • NSA courses: NETA2402/NETA2108 and/or RPTG2238/2235/3225/3222 (or equivalent).
  • Certifications: DASCA (ABDE/ABDA/SDS), Google Data Analytics, and/or IBM Data Science.
  • Experience transitioning prototypes into reusable, analyst-ready tools/pipelines and tracking emerging big-data/analytics tech.

Additional Information
Location: Petterson Space Force Base (PSFB), CO
On-site
Travel: 10%


USD $155,000.00 - USD $190,000.00 /Yr.

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