Support federal government programs by applying advanced analytics, statistical modeling, and machine learning techniques to large, complex datasets to improve decision-making, operational efficiency, and mission outcomes.
Requirements
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib).
- Understanding of cloud environments (AWS GovCloud, Azure Government, or similar).
- Experience with natural language processing (NLP), geospatial analysis, or big data platforms (e.g., Hadoop, Spark).
- Knowledge of federal data standards, government compliance frameworks, and data governance.
Responsibilities
- Collect, clean, and analyze structured and unstructured data from multiple government and contractor systems.
- Apply statistical and machine learning methods to identify trends, patterns, and predictive insights.
- Develop data models, dashboards, and visualizations to communicate findings to both technical and non-technical stakeholders.
- Work with cross-functional teams to design and implement data-driven solutions that support program and mission requirements.
- Ensure compliance with federal data security and privacy standards (e.g., FISMA, FedRAMP, HIPAA where applicable).
- Support automation of data pipelines and integration with enterprise systems.
- Prepare technical documentation, reports, and presentations for government clients.
Other
- 3+ years of experience applying data science techniques in government or defense-related environments (federal contracting experience strongly preferred).
- Strong communication skills and ability to brief senior government stakeholders.
- Active [Security Clearance Level] or ability to obtain one.
- Prior experience supporting defense, intelligence, or civilian federal agencies.
