Data Scientist Senior - TS/SCI w/poly

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 allsource 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 missionenabling 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 - Data Scientist (AI/ML Engineer)

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 allsource intelligence production, knowledge management, and analytic tradecraft.

The Data Scientist applies advanced statistical methods, builds semantic automation workflows, strengthens knowledgegraph reasoning, improves entity extraction and summarization, and performs multiINT 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.

Responsibilities:

• 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/GitLab); coordinate with SSO/security to prevent inadvertent disclosure.
• Design, develop, and evaluate leadingedge AI technologies and new analytic methodologies for allsource analysis, assessments, workflows, dissemination, and knowledge management, applying advanced statistical/mathematical techniques and largedata multiINT analytics.
• Use LLMs, NLP, and ML to automate ontologies and semantic workflows; support automation of entity extraction, recognition, and summarization; and augment/automate allsource analytic processes with AI/ML.
• Develop and refine semantic dataretrieval and reasoning over knowledge graphs using GraphQL, SPARQL, SHACL, SQL, and other query frameworks, ensuring semantic accuracy and interoperability.
• Evaluate AI, datascience, and advanced analytic methods for risks, biases, and limitations; deliver incremental enhancements to analytic tools, capabilities, workflows, and methods.
• Perform continuous independent research across government, industry, and academia; investigate, prototype, and evaluate technologies that enhance allsource intelligence analysis and brief senior leadership on mission applicability.
• Write R/Python scripts, apply SQL, manage and merge disparate datasets, perform statistical analysis, and apply datamining algorithms to support mission analytics.
• Maintain proficiency with TensorFlow/PyTorch, Docker, Kubernetes, GPU/HPC workflows, secure softwaredevelopment practices, and modeloptimization techniques; leverage prior ML and automated predictiveanalytics experience and a professional or graduatelevel datascience certificate.

Education and Desired Experience:

Masters degree with 12 years related experience or Bachelors degree with 17 years experience.

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

The likely salary range for this position is $122,275 - $165,431. 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%

Telecommuting 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.