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Data Science Certificate Jobs in Colorado (NOW HIRING)

Senior Data Scientist

Colorado Springs, CO · On-site

$135K - $210K/yr

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 ...

A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. * Relevant experience must be in designing/implementing machine ...

Data Scientist - Mid

Denver, CO · On-site

$69K - $141K/yr

Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee ... certifications. Our employees value the flexibility at CACI that allows them to balance quality ...

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. * Relevant experience must be in designing/implementing machine ...

A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. * Relevant experience must be in designing/implementing machine ...

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 ... certifications. Our employees value the flexibility at CACI that allows them to balance quality ...

Data Scientist - Aurora, CO

Aurora, CO · On-site

$100K - $210K/yr

Proficient in Python, R, Matlab, Lua, or other data science-centric programming language ... certifications and work location. ICR is proud to be an equal opportunity employer and considers ...

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Data Science Certificate information

See Colorado salary details

$39.4K

$129.1K

$206.6K

How much do data science certificate jobs pay per year?

As of Aug 4, 2026, the average yearly pay for data science certificate 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.

What is a data science certificate?

A Data Science Certificate job refers to roles where employers recognize or prefer candidates who have earned a certificate in data science. These positions typically involve analyzing data, building models, and deriving insights using programming, statistics, and machine learning. While a certificate alone may not replace a full degree, it can demonstrate expertise and practical skills to potential employers. Many professionals pursue certificates to transition into data science or enhance their existing qualifications.

What can I do with a data science certificate?

A data science certificate can qualify you for roles such as data analyst, data scientist, or business intelligence analyst. It demonstrates proficiency in skills like statistical analysis, programming in Python or R, and working with tools such as SQL and machine learning algorithms, which are valuable in data-driven environments.

What does someone with a data science certificate do?

Professionals with a Data Science Certificate often work on projects involving data cleaning, statistical analysis, building and evaluating predictive models, and creating visualizations to communicate findings. Daily tasks may include collaborating with other data team members or stakeholders to understand business problems, preparing datasets, running machine learning experiments, and presenting actionable insights. The work is usually project-based, offering variety and opportunities to solve real-world problems using data. As you gain experience, you may also contribute to improving data processes or mentor junior team members, further advancing your career.

What skills and qualifications are needed for a data science certificate?

To thrive in data science roles, individuals need strong analytical skills, proficiency in statistics, and experience with programming languages such as Python or R, often formalized through a data science certificate or related degree. Familiarity with data visualization tools, machine learning frameworks, and cloud platforms is essential for daily tasks. Effective communication, problem-solving abilities, and teamwork are valuable soft skills that help interpret complex data and convey insights to diverse audiences. These skills ensure you can manage, analyze, and present data-driven solutions that directly impact organizational decision-making.

What are the most commonly searched types of Data Science Certificate jobs in Colorado? The most popular types of Data Science Certificate jobs in Colorado are:
What are popular job titles related to Data Science Certificate jobs in Colorado? For Data Science Certificate jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Science Certificate jobs in Colorado look for? The top searched job categories for Data Science Certificate jobs in Colorado are:
What cities in Colorado are hiring for Data Science Certificate jobs? Cities in Colorado with the most Data Science Certificate job openings:
Infographic showing various Data Science Certificate job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $129,062 per year, or $62 per hour.

$155K - $190K/yr

Full-time

Posted 26 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.