Data Scientist (1st Space Brigade)
$125,000–$140,000 year
RemoteColorado Springs, Colorado, United States
Job Summary
Conduct data science functions on structured and unstructured data to streamline intelligence analysis and production, enrich results, and develop and maintain Python code. Author cogent scripts using Python in virtual environments, debug existing code, and refactor legacy code to ensure security and compatibility. Develop advanced algorithms and models to solve complex intelligence problems, normalize data, and identify meaningful insights for stakeholders. Collaborate across multi-discipline teams to ensure connectivity between data sources and business problems while analyzing requirements for capabilities including natural language processing and machine learning. Complete required NSA NETA1400 course and maintain awareness of emerging analytics technologies.
Required Qualifications
- TS/SCI with Poly
- Conduct data science functions on structured and unstructured data to streamline intelligence analysis and production, enrich results, and develop and maintain Python code
- 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)
- Seven or more years of relevant agency experience + training
- Advanced knowledge of Python and other relevant languages
- Associate's degree or higher in a cyber or relevant STEM discipline
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