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How much do nsa data science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for nsa data science in Colorado is $111,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,540.00 and $154,379.00 per year, depending on experience, location, and employer.

What is an NSA Data Science job?

An NSA Data Science job involves analyzing large datasets to extract insights that support national security efforts. Data scientists at the NSA use machine learning, statistical modeling, and artificial intelligence to detect patterns in signals intelligence, cybersecurity threats, and other intelligence sources. They collaborate with analysts and engineers to develop algorithms and tools for processing complex data. Strong skills in programming, data visualization, and problem-solving are essential for success in this role.

What are typical daily responsibilities for an NSA Data Science professional?

NSA Data Science professionals spend their days analyzing complex datasets, developing machine learning models, and generating actionable insights to support national security objectives. They frequently collaborate with interdisciplinary teams, including analysts, engineers, and cybersecurity experts, to design and implement data-driven solutions. Responsibilities also include data wrangling, researching emerging analytical techniques, and maintaining best practices for data security. This role often involves tackling unique, high-impact problems in a fast-paced, mission-driven environment.

What are the key skills and qualifications needed to thrive in the NSA Data Science position, and why are they important?

To thrive as an NSA Data Science professional, a strong background in statistics, mathematics, computer science, and data analysis, typically supported by a higher degree in a relevant field, is essential. Proficiency with programming languages such as Python or R, experience in machine learning frameworks, and familiarity with big data technologies and security-clearance requirements are highly valued. Exceptional problem-solving abilities, attention to detail, and robust communication skills are vital soft skills in this role. These competencies ensure effective data-driven solutions to complex national security challenges while maintaining the highest standards of confidentiality and teamwork.

Do NSA data science jobs pay well?

NSA data science jobs typically offer competitive salaries that align with government pay scales and industry standards for highly skilled data professionals. Compensation often includes benefits such as security clearances, retirement plans, and opportunities for professional development. Salaries can vary based on experience, education, and security clearance level.

What are the most commonly searched types of Nsa Data Science jobs in Colorado?

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For Nsa Data Science jobs in Colorado, the most frequently searched job titles are:

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What cities in Colorado are hiring for Nsa Data Science jobs?

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Nsa Data Science jobs near you
Infographic showing various Nsa Data Science job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,908 per year, or $53.8 per hour.

Data Scientist

Apogee Engineering, LLC

Colorado Springs, CO • On-site

Full-time

Re-posted yesterday

Job description

Overview

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****

Responsibilities
  • 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.
Qualifications

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) adjudicationEducation: Bachelors DegreeYears 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 InformationLocation: Petterson Space Force Base (PSFB), COOn-siteTravel: 10%

Pay RangeUSD $155,000.00 - USD $190,000.00 /Yr.Employment Type: OTHER

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