About the Role
Title: Data Scientist Advisor
Category: Science
Employment Type: Full Time
Job Description:
Responsibilities for this Position
Location: Any Location / Remote
Full Part/Time: Full time
Job Req: RQ200268
Type of Requisition:
Regular
Clearance Level Must Currently Possess:
None
Clearance Level Must Be Able to Obtain:
None
Public Trust/Other Required:
Other
Job Family:
Data Science
Job Qualifications:
Skills:
Artificial Intelligence (AI), Machine Learning, Natural Language
Certifications:
None
Experience:
8 + years of related experience
US Citizenship Required:
No
Job Description:
Deliver insights to help our clients turn data into action as a Data Scientist Advisor at GDIT. Your work will provide transformative solutions to our clients’ big data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ missions and on your career.
At GDIT, people are our differentiator. GDIT Technology Shared Services (TSS) is seeking a Data Scientist Advisor to transform how government agencies use data. Our work depends on a Data Scientist Advisor joining our team to work on artificial intelligence solutions supporting the Centers for Medicare & Medicaid Services (CMS).
HOW THE DATA SCIENTIST ADVISOR WILL MAKE AN IMPACT:
- Accelerate our work by integrating advanced AI capabilities across our suite
- 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:
Required:
- Master’s Degree in Computer Science, Data Science, Statistics, or related field
- 8+ years of experience as a data scientist in AI/ML with proven track record of deploying production solutions
- Natural language processing (NLP) expertise including text classification, categorization, and query processing
- Experience with generative AI (GenAI) using large language models (LLMs)
- Expertise in AI/ML cloud technologies on AWS, including Bedrock, Lambda, and SageMaker
- Strong foundation in machine learning, statistical analysis, and experimental design with both quantitative and qualitative data
- Proficiency with Python data science stack (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow) and SQL
- Experience in forecasting, anomaly detection, clustering, and A/B testing methodologies
- Experience with ServiceNow platform integration, APIs, and enterprise system architecture
- Strong business communication skills with ability to translate technical concepts to stakeholders and leadership
Preferred:
- Experience fine-tuning LLMs and implementing agentic frameworks for specific use cases
- Hands-on experience with ServiceNow CMDB, Strategic Portfolio Management (SPM), and GovCommunityCloud environment
- Background in automated content classification, metadata management, and knowledge management systems
- Advanced data visualization and dashboard development using Python, Power BI, Tableau, ServiceNow, or QuickSight
- Data engineering experience with ETL processes, data pipelines, and database management
- Government contracting experience and familiarity with federal compliance requirements
- Experience integrating AI solutions with legacy enterprise systems and orchestration platforms