- Clearance: U.S. Citizen; TS/SCI w/ CI Poly
- Education: Bachelor's degree in Computer Science, Data Science, Information Systems, Mathematics, Statistics, Super Intelligence/Machine Learning or a related field, or equivalent relevant experience.
- Certification: DoD 8140/8570 IAT Level II (GSEC, SSCP) or equivalent credential
- Location: Full time on-site at Annapolis Junction, Maryland.
- Experience and knowledge:
- 10+ years of experience across data science, advanced analytics, machine learning engineering, quantitative
analysis, or related technical disciplines.
- Expert proficiency in Python for data analysis, algorithm development, machine learning, or analytical
application development.
- Demonstrated experience applying statistical analysis, machine learning, predictive modeling, or other advanced
analytical techniques to complex data and mission or business problems.
- Demonstrated experience developing, evaluating, and refining analytical algorithms, predictive models, or
machine learning solutions.
- Demonstrated experience using PyTorch to develop, train, evaluate, or implement machine learning models.
- Demonstrated experience with Neo4j or comparable knowledge graph technologies, including graph data
modeling, querying, or graph-based analysis.
- Demonstrated experience developing data science applications, analytical prototypes, or interactive analytical
interfaces using Streamlit or equivalent hands-on Streamlit experience.
- Demonstrated experience using Git for version control and JIRA for technical work tracking, collaboration, or
project execution.
- Experience working with complex, heterogeneous datasets, including structured and unstructured data, and
developing methods to improve data quality, integration, interoperability, or analytical usability.
- Demonstrated understanding of model evaluation, validation, performance measurement, and the limitations of
statistical and machine learning approaches.
- Demonstrated ability to translate complex mission requirements into analytical approaches, technical solutions,
and measurable outcomes.
- Experience collaborating with multidisciplinary teams, including data scientists, software developers, engineers,
analysts, and mission stakeholders, to research, develop, and implement analytical solutions.
- Demonstrated ability to communicate complex analytical findings, technical concepts, and model limitations
clearly to technical and nontechnical audiences.
- Demonstrated ability to work independently, exercise sound technical judgment, manage competing priorities,
and deliver high-quality analytical products in a fast-paced environment.