Data Scientist Senior - TS/SCI w/poly

Pipeline requisition · Data Science and Data Engineering · Top Secret SCI + Polygraph required · U.S. citizenship required · 17+ years related experience

About the role

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. Support spans the entire intelligence cycle—planning, collection, processing, exploitation, production, and dissemination—while also executing integrated mission management functions, all focused on enhancing the customer’s ability to enable both defensive and offensive cyberspace operations.

The Data Scientist (AI/ML Engineer) designs, implements, and secures production machine‑learning systems to support classified intelligence missions. This role develops hardened ML architectures and microservices; implements containerized and clustered deployments; ensures compliance with RMF and OPSEC controls; optimizes models for constrained environments; and integrates AI/ML capabilities with mission systems and sensors. The engineer performs secure code and model handling, conducts performance tuning, automates secure build and deployment pipelines, and coordinates with security/SSO personnel to prevent inadvertent disclosure during agile prototyping. The position advances cutting‑edge 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.

Responsibilities

• Design, implement, and secure production ML systems and deployments 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 automation of secure CI/CD build and deployment pipelines; coordinate with SSO/security to prevent inadvertent disclosure during development.
• Design, develop, and evaluate leading‑edge AI technologies for integration into all‑source analysis tradecraft, assessments, production workflows, dissemination, and knowledge management.
• Propose and apply advanced statistical and mathematical techniques to support model formulation, experimental design, and development of new analytic methodologies.
• Collaborate with team members on exploratory efforts using large language models, NLP, and ML to automate ontologies and ensure semantic accuracy and interoperability with knowledge‑graph architectures.
• Evaluate AI, data‑science, and advanced analytic methods for risks, biases, and limitations that may distort analytic conclusions.
• Develop and refine semantic data‑retrieval and reasoning capabilities across knowledge graphs using GraphQL, SPARQL, SHACL, SQL, and other query frameworks.
• Conduct continuous independent research on analytic methods and technologies across government, industry, and academia; inform senior leadership on applicability to mission programs.
• Apply in‑depth knowledge of theories, techniques, and processes to investigate, prototype, and evaluate technologies that enhance all‑source intelligence analysis.
• Support automation of entity extraction, recognition, and summarization using ML/NLP techniques in alignment with analytic tradecraft standards.
• Perform research studying how to augment or automate all‑source analytic processes using computer‑based models and AI/ML systems.
• Deliver incremental enhancements to analytic tools, capabilities, workflows, and methods.
• Write R or Python scripts, apply SQL, and manage and merge disparate datasets; perform statistical analysis and apply data‑mining algorithms to support mission analytics.
• Utilize and maintain proficiency with tools such as TensorFlow/PyTorch, Docker, Kubernetes, CI/CD (Jenkins/GitLab), GPU/HPC workflows, secure software‑development practices, and model‑optimization techniques.
• Apply prior experience in large‑data multi‑INT analytics, ML, and automated predictive analytics; hold a professional or graduate‑level certificate in data science from a recognized institution.

Requirements

• Master’s degree with 12 years related experience, or Bachelor’s degree with 17 years’ experience.
• Active Top Secret SCI clearance with Polygraph.
• U.S. citizenship.
• Professional or graduate‑level certificate in data science from a recognized institution.

Qualifications

• Analytical thinking, datasets, machine learning methods.
• Advanced statistical methods, semantic automation workflows, knowledge‑graph reasoning, entity extraction and summarization, multi‑INT analytic augmentation through ML.
• Data‑science scripting in R, Python, SQL; management of disparate data sources.
• Evaluation of AI/ML techniques for risks, biases, and limitations.
• Experience with TensorFlow/PyTorch, Docker, Kubernetes, CI/CD (Jenkins/GitLab), GPU/HPC workflows, secure software‑development practices, model‑optimization techniques.
• Large‑data multi‑INT analytics, ML, automated predictive analytics.

Desired qualifications

• Certified Kubernetes Administrator.
• Cloud GovCloud experience (AWS/Azure Gov).
• RMF/security training.

Benefits

Comprehensive benefits and wellness packages, 401(k) with company match, competitive pay and paid time off. Medical plan options (some with Health Savings Accounts), dental plan options, vision plan, 401(k) with pre‑ and post‑tax contributions up to IRS limits and company match. Full flex work weeks where possible; paid time off including vacation, sick, personal, holidays, paid parental, military, bereavement, and jury duty leave. Short‑ and long‑term disability, life, accidental death and dismemberment, personal accident, critical illness, and business travel/accident insurance.

AI‑powered career tool identifying career steps and learning opportunities; internal mobility team focused on career goals; award‑winning culture of innovation and military‑friendly workplace.

Pay

Likely salary range: $111,155 – $150,385 (not a guarantee; actual salary set based on experience, geographic location, and contractual requirements).

Schedule

• Scheduled weekly hours: 40
• Travel required: Less than 10%
• Telecommuting options: Onsite
• Work location: College Park, MD, USA