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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - GEOINT Analysis - **Company:** Assertive Professionals - **Location:** Colorado Springs, CO, United States - **Experience:** Expert - **Salary:** $160,000.0 - **Contract:** Permanent contract - **Skills:** Big Data, Data Architecture, Software Debugging, Geospatial Intelligence, Google Analytics, Statistical Hypothesis Testing, Integrated Development Environments, Intelligence Analysis, Python (Programming Language), Machine Learning, Natural Language Processing, Unstructured Data, Jupyter Notebook, Virtual Environment, Maintaining Code - **Published:** August 22, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9102167/data-scientist-geoint-analysis ## About the Role * TS/SCI w/ CI Poly * 7 years of relevent experience * 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 JupyterLabs. * 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. ## Description This position is responsible for conducting data science functions on structured and unstructured data to streamline intelligence analysis and production. The data scientist will work to enrich analytical results and will develop and maintain Python code in support of mission requirements., * Develop and use advanced software programs, algorithms, querytechniques, 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [Employee Advocacy: The Secret Weapon of Employer Branding](https://www.wearedevelopers.com/videos/1304-employee-advocacy-the-secret-weapon-of-employer-branding) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 168: Hacking Postgres, Blocking Meta and Fixing CSS](https://www.wearedevelopers.com/magazine/588-dev-digest-168-hacking-postgres-blocking-meta-and-fixing-css) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Got AI ideas but no money? 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