Data Scientist Senior

Data Scientist Senior

Build the AI/ML solutions that help our clients turn data into action as a Data Scientist Senior 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. At GDIT, people are our differentiator. GDIT Technology Shared Services (TSS) is seeking a Data Scientist Senior 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 Senior 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: Bachelor's degree in Computer Science, Data Science, Statistics, or related field
• Experience: 5+ years of experience as a data scientist in AI/ML with a proven track record of deploying production solutions required; 8+ years of experience as a data scientist in AI/ML with a proven track record of deploying production solutions preferred
• 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)
• Experience integrating AI solutions with legacy enterprise systems and orchestration platforms
• Familiarity with data engineering, ETL processes, data pipelines, and APIs
• Strong communication skills with the ability to translate technical concepts to stakeholders and leadership

Location: Remote