Data Scientist
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we're keeping people around the world safe and secure.
About the role
We are seeking a Data Scientist to build and curate the knowledge base for a generative AI/ML research effort, and to develop the data and knowledge extraction pipelines for machine learning models. The role is responsible for extracting, structuring, and validating design knowledge into knowledge graphs and ontologies; for engineering the metadata, annotation, and provenance of program datasets; and for the analysis that turns results, laboratory measurements, and simulation output into actionable findings for the research team. The ideal candidate is a strong applied data scientist with an interest in symbolic and structured representations of knowledge. Experience with formal methods and domain-specific languages (DSLs) is desired but not required.
Responsibilities
- Design, build, and populate the research team's effort knowledge bases, and maintain it under version control with provenance tracking
- Develop knowledge extraction pipelines (rule-based, statistical, and ML-assisted) that convert unstructured and semi-structured sources into structured, queryable knowledge; establish quality metrics and validation procedures for extracted content