Title:Data Engineer
The Data Scientist supports advanced analytics and data-driven decision-making for Space and Counterspace intelligence missions. This role focuses on developing models, algorithms, and analytical tools to extract insights from large, complex, and multi-source datasets related to space domain awareness and adversary capabilities. The position involves working with both structured and unstructured data to identify patterns, anomalies, and emerging threats. The Data Scientist collaborates with analysts, engineers, and mission partners to translate intelligence questions into scalable analytic solutions. This role operates in a classified environment supporting national security objectives with cutting-edge data science techniques.
Roles and Responsibilities- Develop and implement statistical models, machine learning algorithms, and data analysis workflows to support mission objectives
- Analyze large, complex datasets from multiple intelligence sources to identify trends, anomalies, and actionable insights
- Build and maintain data pipelines, data transformation processes, and analytic tools
- Support integration of disparate data systems to enable comprehensive analysis across domains
- Develop visualizations, dashboards, and reporting tools to communicate analytic findings
- Apply data mining, predictive analytics, and pattern recognition techniques to space and counterspace problems
- Collaborate with engineers and analysts to refine requirements and operationalize data science solutions
- Document methodologies, models, and processes for reproducibility and mission continuity
- Ensure compliance with security, data governance, and classified environment requirements
- Perform code review and software quality testing
- Review and utilize RESTful APIs for data access
- Apply software design patterns, code review practices, and unit/integration testing
- Build and maintain CI/CD pipelines for data infrastructure
- Contribute to infrastructure-as-code (Terraform, Ansible)
Basic Qualifications- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
- Experience in data science, analytics, or a related technical discipline (academic research and internships may be considered)
- Proficiency in programming languages such as Python or R
- Experience with data analysis libraries and tools (e.g., Pandas, NumPy, SciPy, or similar)
- Active Top Secret/SCI security clearance With Polygraph
- Strong software development background (Python, R, Java)
- Experience with containerization and orchestration (Docker, Kubernetes)
- Familiarity with software development lifecycle (SDLC) practices
- API design and development experience
- Test-driven development or equivalent quality practices
Preferred Qualifications- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn)
- Familiarity with big data platforms and tools (e.g., Hadoop, Spark, or distributed computing environments)
- Exposure to geospatial analytics, space domain awareness, or intelligence-related datasets
- Astrodynamics or orbital mechanics familiarity (or experience with STK)
- Time-series analysis
- NLP/text analytics
- Cloud platforms (AWS GovCloud)
- Containerization (Docker, Kubernetes)
- CI/CD and DevSecOps experience
- Experience with IC data environments or tools
- Experience transitioning prototype models to operational production pipelines
