Job description

Type of Requisition: Pipeline Clearance Level Must Currently Possess: Top Secret SCI + Polygraph Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Analytical Thinking, Datasets, Machine Learning Methods Certifications: None Experience: 17 + years of related experience US Citizenship Required: Yes Job Description: Program Overview 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. Position Overview Job Requirement: Data Scientist (AI/ML Engineer) 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. The Data Scientist leverages advanced statistical methods, develops semantic automation workflows, improves knowledge‑graph reasoning, enhances entity extraction and summarization, and conducts multi‑INT analytic augmentation through ML. This role also supports tool and workflow modernization, performs data‑science scripting in R/Python/SQL, manages disparate data sources, and evaluates AI/ML techniques for risks, biases, and limitations. The Data Scientist contributes to incremental capability enhancements, maintains familiarity with state‑of‑the‑art technologies, and produces analytic outputs on emerging military technologies worldwide. 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. Education and Required Experience • Master’s degree with 12 years related experience or Bachelor’s degree with 17 years’ experience. Desired Expreience • Maintain or pursue preferred qualifications including Certified Kubernetes Administrator, cloud GovCloud (AWS/Azure Gov) experience, and RMF/security .training. GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. ● Growth: AI-powered career tool that identifies career steps and learning opportunities ● Support: An internal mobility team focused on helping you achieve your career goals ● Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off ● Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in intelligence at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your passion for securing the mission. #CICADAS The likely salary range for this position is $111,155 - $150,385. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% T elecommuting Options: Onsite Work Location: USA MD College Park Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. Our Identity Verification Process: As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes. About Our Work: We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc . Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Requirements

Must-haves

Top Secret SCI + Polygraph
Top Secret SCI + Polygraph
Data Science and Data Engineering
Analytical Thinking, Datasets, Machine Learning Methods Certifications:
17 + years of related experience US Citizenship Required:
Program Overview
All support is focused on enhancing the customers’ ability to enable both defensive and offensive cyberspace operations.
Position Overview
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.
Education and Required Experience

Nice-to-haves

Maintain or pursue preferred qualifications including Certified Kubernetes Administrator, cloud GovCloud (AWS/Azure Gov) experience, and RMF/security .training.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlagilepythonsqlci/cdgraphqldockerkubernetesawsazure

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k

401(K)

Paid Time Off

Wellness