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General Dynamics Information Technology•College Park, MD

3d•Onsite

About The Position

The Data Scientist (AI/ML Engineer) designs, implements, and secures production machine-learning systems for classified intelligence missions. The 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. It includes secure code and model handling, performance tuning, secure build and deployment pipelines, and coordination with security and SSO personnel to prevent inadvertent disclosure during agile prototyping. The position advances AI capabilities by researching and evaluating analytic methods and emerging technologies for all-source intelligence production, knowledge management, and analytic tradecraft. Work includes advanced statistical methods, semantic automation, knowledge-graph reasoning, entity extraction and summarization, and multi-INT analytic augmentation. The Data Scientist also modernizes tools and workflows, scripts in R, Python, and SQL, manages disparate data sources, and evaluates AI/ML techniques for risks, biases, and limitations. The role contributes incremental capability enhancements and produces analytic outputs on emerging military technologies worldwide. The program provides all-source intelligence on foreign military and civilian cyber actors and their supporting infrastructure, supporting foundational military intelligence and scientific and technical intelligence for cyberspace operations. Support spans the intelligence cycle and mission management to enhance defensive and offensive cyberspace operations. The position is onsite in College Park, Maryland, with 40 scheduled weekly hours and less than 10% travel. A Top Secret SCI with Polygraph clearance is currently required, and U.S. citizenship is required.

Requirements

U.S. citizenship.
Must currently possess a Top Secret SCI with Polygraph clearance; must be able to obtain a Top Secret SCI with Polygraph clearance.
Master’s degree with 12 years of related experience, or bachelor’s degree with 17 years of experience.
17 or more years of related experience is listed in the job qualifications.
Experience in large-data multi-INT analytics, machine learning, and automated predictive analytics.
Professional or graduate-level certificate in data science from a recognized institution.
Skills in analytical thinking, datasets, and machine-learning methods.

Nice To Haves

Certified Kubernetes Administrator certification.
Cloud GovCloud experience with AWS or Azure Gov.
RMF/security training.

Responsibilities

Design, implement, and secure production ML systems and deployments for classified environments, including hardened architectures, microservices, containerized and clustered deployments, RMF/OPSEC compliance, and mission-system integration.
Handle code and models securely, tune performance, automate secure CI/CD build and deployment pipelines, and coordinate with SSO and security personnel 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 for model formulation, experimental design, and new analytic methodologies.
Collaborate 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 independent research on analytic methods and technologies across government, industry, and academia, and inform senior leadership about their applicability to mission programs.
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.
Research ways 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, manage and merge disparate datasets, perform statistical analysis, and apply data-mining algorithms to support mission analytics.
Use and maintain proficiency with TensorFlow/PyTorch, Docker, Kubernetes, CI/CD tools such as Jenkins/GitLab, GPU/HPC workflows, secure software-development practices, and model-optimization techniques.
Apply 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.

Benefits

Comprehensive benefits and wellness packages.
401(k) with company match.
Competitive pay.
Paid time off, including vacation, sick, personal, and holiday leave.
Medical plan options, some with Health Savings Accounts.
Dental plan options.
Vision plan.
Full flexible work weeks where possible.
Paid parental, military, bereavement, and jury duty leave.
Short- and long-term disability benefits.
Life, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance.