Data Scientist Senior - TS​/SCI w​/poly

Req : RQ230676

Type of Requisition: Regular

Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph

Public Trust/Other

Required:

None

Job Family: Data Science and Data Engineering

Skills:

Analytical Thinking,Datasets,Machine Learning Methods

Experience:

17 + years of related experience

US Citizenship

Required:

Yes

GDIT delivers critical all‑source intelligence on foreign military and civilian cyber actors, their supporting infrastructure, and the broader ecosystems in which these capabilities operate. This intelligence directly supports foundational military intelligence (FMI) requirements for the joint force and ensures alignment with the mission portfolios.

On this program, GDIT provides a broad range of analytic and mission‑enabling support to produce operationally relevant FMI and scientific and technical intelligence (S&TI) for cyberspace operations. Our support is not limited to analysis; we engage across the entire intelligence cycle planning, collection, processing, exploitation, production, and dissemination while also executing integrated mission management functions.

All support is focused on enhancing the customers’ ability to enable both defensive and offensive cyberspace operations.

The Data Scientist (AI/ML Engineer) designs, implements, and secures production ML systems for classified intelligence missions, including hardened architectures and microservices, containerized/clustered deployments, RMF/OPSEC compliance, model optimization for constrained environments, and integration with mission systems and sensors.

The engineer handles secure code and model practices, performance tuning, and automated secure build/deployment pipelines, coordinating with security/SSO personnel to prevent inadvertent disclosure during agile prototyping. The role advances AI capabilities by designing and evaluating new analytic methods, conducting independent research, and incorporating emerging technologies to enhance all‑source intelligence production, knowledge management, and analytic tradecraft.

The Data Scientist applies advanced statistical methods, builds semantic automation workflows, strengthens knowledge‑graph reasoning, improves entity extraction and summarization, and performs multi‑INT analytic augmentation via ML. The role supports tool and workflow modernization, scripts in R/Python/SQL, manages disparate data sources, evaluates AI/ML techniques for risks, biases, and limitations, and contributes incremental capability enhancements and analytic outputs on emerging military technologies worldwide.

• Design, implement, and secure production ML systems for classified environments, including hardened architectures, microservices, containerized/clustered deployments, RMF/OPSEC compliance, and integration with mission systems.

• Conduct secure code and model handling, performance tuning, and automated secure CI/CD (e.g., Jenkins/Git Lab); coordinate with SSO/security to prevent inadvertent disclosure.

• Design, develop, and evaluate leading‑edge AI technologies and new analytic methodologies for all‑source analysis, assessments, workflows, dissemination, and knowledge management, applying advanced statistical/mathematical techniques and large‑data multi‑INT analytics.

• Use LLMs, NLP, and ML to automate ontologies and semantic workflows; support automation of entity extraction, recognition, and summarization; and augment/automate all‑source analytic processes with AI/ML.

• Develop and refine semantic data‑retrieval and reasoning over knowledge graphs using GraphQL, SPARQL, SHACL, SQL, and other query frameworks, ensuring semantic accuracy and interoperability.

• Evaluate AI, data‑science, and advanced…