Data Scientist Principal

🏢 General Dynamics Information Technology · all General Dynamics Information Technology jobs
📍 United States
💰 USD 122,400 - 165,600 / annual
📅 Posted 2026-09-06 · via Himalayas
🏷 Data-Science,Machine-Learning,AI,AI-ML-Engineer,Data-Scientist,Principal-Machine-Learning-Scientist,Principal-Data-Scientist-(Director-Level)
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Type of Requisition:
Regular
Clearance Level Must Currently Possess:
None
Clearance Level Must Be Able to Obtain:
None Public Trust/Other Required:
NACI (T1)
Job Family:
Data Science and Data Engineering Job Qualifications:
Skills:
Artificial Intelligence (AI), Machine Learning Methods, Python (Programming Language), Scientific Data Analysis Certifications:
None Experience:
8 + years of related experience US Citizenship Required:
No
Job Description:

Build the AI/ML solutions that help our clients turn data into action as a Data Scientist Principal at GDIT. Your work will deliver transformative solutions to our clients' big data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients' mission and on your career.

GDIT is seeking a Data Scientist Principal to transform how government agencies use data. Our work depends on a hands-on data scientist joining our team to design and implement artificial intelligence solutions supporting the Centers for Medicare & Medicaid Services (CMS) Hosting, Operations & Maintenance (HOM) program.

HOW THE DATA SCIENTIST PRINCIPAL WILL MAKE AN IMPACT:

- Accelerate our work by integrating advanced AI capabilities across our suite

- Accelerate the use of and evaluate the efficacy of AI coding tools across the team

- Implement both custom-built and vendor/COTS AI solutions, hands-on, from prototype through production

- Design and implement AI solutions for automated program accomplishment tracking and reporting, including intelligent classification systems and proactive knowledge management

- Implement generative AI (GenAI) with large language models (LLMs) and retrieval augmented generation (RAG) to deliver precise, data-driven responses

- Build an agentic framework enabling service ticket management, account administration, and intelligent journey orchestration

WHAT YOU'LL NEED TO SUCCEED:

- Education: Master's Degree in Computer Science, Data Science, Statistics, or related field (or equivalent experience)

- Experience: 8+ years of experience as a data scientist with a proven track record of deploying AI/ML production solutions required

- Strong AI/ML coding ability, with the capability to implement both custom and vendor-based solutions independently and use of AI coding tools

- Experience with generative AI (GenAI) using large language models (LLMs)

- Strong foundation in machine learning, statistical analysis, and experimental design with both quantitative and qualitative data

- Expertise in AI/ML cloud technologies (preferably on AWS, including Bedrock, Lambda, and SageMaker)

- Experienced with Python data science stack (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow) and SQL

- Experience integrating AI solutions with legacy enterprise systems and orchestration platforms

- Experience in establishing and scaling AI/ML programs, developing roadmaps, and increasing user/tool adoption

- Familiarity with data engineering, ETL processes, data pipelines, and APIs

- Strong communication skills with the ability to translate technical concepts to stakeholders and leadership

- Ability to supervise and mentor other AI/ML Data Scientists

LOCATION: Remote
CLEARANCE:

Ability to obtain a Public Trust: candidate must have lived in the United States at least three (3) out of the last five (5) years and pass a public trust background investigation.
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

- Flexibility: Full-flex work week to own your priorities at work and at home

- Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY

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