Sr Data Scientist

This position is mostly remote but will require occasional visits to the client site in Reston, VA. Active TS/SCI clearance with the ability to pass a polygraphy.

The Senior Data Scientist will support the design, implementation, and integration of an enterprise-scale data tagging and metadata management capability across complex, distributed data environments. The project will establish standardized metadata, tagging, taxonomies, ontologies, and governance processes to improve data discovery, interoperability, quality, access control, sharing, and dissemination.

The role will work across data science, data engineering, enterprise architecture, cybersecurity, data governance, and mission stakeholders to translate business and mission requirements into technical metadata and tagging capabilities. Responsibilities will include defining minimum metadata requirements, developing metadata schemas and semantic models, evaluating automated and AI/ML-assisted tagging approaches, and integrating enterprise tagging services with data lakes, data platforms, repositories, catalogs, pipelines, and consuming applications.

The Senior Data Scientist will also contribute to the development and governance of enterprise ontologies, taxonomies, controlled vocabularies, and knowledge graph capabilities. The position will evaluate data flows and architectures to ensure metadata and security attributes persist, propagate, and remain enforceable as data moves across systems and security boundaries.

• Strong understanding of enterprise data tagging and metadata management principles, architectures, and technologies.
• Experience defining and implementing minimum metadata and tagging requirements across enterprise data environments.
• Knowledge of automated, rules-based, manual, and AI/ML-assisted tagging approaches.
• Experience with metadata extraction, enrichment, classification, validation, and normalization.
• Understanding of tag persistence, inheritance, propagation, and synchronization as data moves between systems.
• Experience with metadata schema development, mapping, crosswalks, and standards implementation.
• Knowledge of metadata lineage, provenance, versioning, quality, and lifecycle management.
• Experience integrating tagging capabilities with enterprise metadata repositories, data catalogs, and other metadata services.

• Strong understanding of ontologies, taxonomies, controlled vocabularies, and semantic data models.
• Experience developing, implementing, or managing enterprise and domain-specific ontologies.
• Ability to map relationships between disparate schemas, vocabularies, taxonomies, and ontologies.
• Understanding of ontology governance, versioning, extensibility, and lifecycle management.
• Familiarity with semantic technologies and standards such as RDF, OWL, SKOS, JSON-LD, or comparable technologies.
• Knowledge of knowledge graphs and semantic search/discovery is highly desirable.

• Strong understanding of enterprise data governance, including data ownership, stewardship, authoritative sources, data quality, metadata standards, and lifecycle management.
• Experience translating governance policies into enforceable technical requirements.
• Knowledge of metadata governance, schema governance, ontology governance, and change-control processes.
• Ability to establish and enforce minimum required metadata for data ingestion, discovery, access, sharing, and dissemination.
• Understanding of data classification, handling, sharing, retention, and dissemination requirements.
• Experience operating within DoD and/or Intelligence Community data governance environments strongly preferred.
• Familiarity with applicable IC Directives (ICDs), IC standards, and DoD/IC data and information-sharing requirements, including requirements associated with metadata, access, handling, and dissemination.

• Understanding of enterprise tagging architectures and centralized/shared tagging services.
• Experience defining or implementing an Enterprise Tagging Service (ETS) and/or Minimum Viable Tagging Service (MVTS) capability.
• Ability to define enterprise tagging requirements, required metadata attributes, validation rules, and service interfaces.
• Understanding of how tagging services integrate with data ingestion pipelines, repositories, catalogs, search/discovery capabilities, and consuming applications.
• Experience designing or implementing APIs and services for creating,…