USAF - Data Scientist

Assess data readiness and supporting infrastructure, identifying gaps in data availability, quality, accessibility, and suitability for proposed analyses. Apply DevSecOps processes throughout the model lifecycle, maintaining version control, documentation, and auditable records of data, code, models, and results.

cFocus Software seeks a Data Scientist to join our program supporting the United States Air Force (USAF). This position is on-site in Linthicum Heights, MD. This position requires an Active TS/SCI clearance.Qualifications:

• Active TS/SCI clearance
• B.S. Computer Science, Information Technology, or a related field
• Experience applying data science, statistical analysis, and machine learning to practical business or mission problems.
• Proficiency in analytical programming and querying, with ability to build reproducible workflows.
• Experience cleaning and transforming data, engineering features, and assessing data quality.
• Experience comparing, training, testing, validating, and tuning machine learning models.
• Ability to select appropriate metrics, interpret results, and explain model limitations and uncertainty.
• Experience creating reports, visualizations, or dashboards for technical and nontechnical audiences.
• Understanding of version control, DevSecOps, model monitoring, and auditable model lifecycle practices.
• Ability to follow data governance and security requirements and collaborate with multidisciplinary teams

Duties:

• Work with Government stakeholders to define business problems, analytical questions, AI use cases, machine learning objectives, and performance measures for approval.
• Assess data readiness and supporting infrastructure, identifying gaps in data availability, quality, accessibility, and suitability for proposed analyses.
• Gather, clean, transform, and prepare data from Government-approved sources; develop features and document preparation methods and assumptions.
• Perform exploratory and statistical analyses to identify patterns, assess data limitations, and develop findings relevant to approved mission questions.
• Research and compare candidate machine learning models; present evidence-based recommendations for Government review and selection.
• Train, test, validate, and tune Government-selected models against approved requirements, performance metrics, and mission goals.
• Use reproducible evaluation methods and appropriate training and test data separation; document model limitations, uncertainty, and potential sources of bias.
• Develop AI models in accordance with Government-approved data governance policies and enterprise architecture; maintain supporting compliance evidence.
• Coordinate model deployment with engineering and operations teams following Government review and formal acceptance.
• Monitor deployed model performance and health; investigate degraded results or changes in input data and recommend approved corrective actions.
• Apply DevSecOps processes throughout the model lifecycle, maintaining version control, documentation, and auditable records of data, code, models, and results.
• Support data quality monitoring, remediation, metadata, and data tagging under approved standards; recommend improvements to data governance practices.
• Develop analytical queries, reports, and interactive dashboards to communicate results and track Government-approved KPIs and business questions.
• Analyze and fuse authorized external agency data only as permitted by established data-sharing agreements and security policies.
• Collaborate with data engineers, architects, cybersecurity personnel, and mission users; support assigned AI model evaluation for knowledge or records management functions.

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