USAF - Data Scientist

Position overview

Qualifications

• Active TS/SCI clearance.
• Bachelor's degree in 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 the 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

• Define business problems, analytical questions, AI use cases, machine learning objectives, and performance measures with Government stakeholders.
• Assess data readiness and infrastructure, identifying gaps in data availability, quality, accessibility, and suitability.
• Prepare data from Government-approved sources, develop features, and document methods and assumptions.
• Perform exploratory and statistical analyses to identify patterns, limitations, and mission-relevant findings.
• Compare candidate machine learning models and present recommendations for Government review.
• Train, test, validate, and tune Government-selected models against approved requirements and goals.
• Document evaluation methods, model limitations, uncertainty, and potential sources of bias.
• Develop models under Government-approved governance policies and enterprise architecture, and maintain compliance evidence.
• Coordinate model deployment with engineering and operations after Government review and acceptance.
• Monitor deployed models and investigate performance degradation or input-data changes.
• Maintain DevSecOps processes, version control, documentation, and auditable lifecycle records.
• Support data quality monitoring, remediation, metadata, and tagging under approved standards.

Analysis and collaboration

• Develop queries, reports, and interactive dashboards to communicate results and track Government-approved KPIs and questions.
• Fuse authorized external agency data only as permitted by 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.