Today
Public Trust
Unspecified
Unspecified
IT - Data Science
Remote/Hybrid• (Off-Site/Hybrid)
GDIT is under contract to the Centers for Medicare & Medicaid Services (CMS) to design, develop, engineer, implement, enhance, maintain algorithms to detect and prevent potential fraud, waste or abuse in the Medicare, Medicaid and Marketplace programs. We are currently seeking a Data Scientist Advisor to join our team.
Responsibilities:
Required Skills:
Work Requirements
Responsibilities:
- Design, develop, and deploy AI models such as Generative AI solution (e.g., Large Language Models (LLMs)), Agentic AI, or AI powered tools working with large datasets and a variety of data, structured and unstructured, to create analytic insights and streamline business processes
- Remain current on AI technologies, advancements, solutions, and optimization methods to recommend and apply continuous advancement of AI solutions
- Extract qualitative and quantitative relationships, patterns, and trends from large amounts of data using various tools such as Python, R, SQL, etc.
- Conduct advanced research studies inclusive of policy research, analysis, and modeling and organize/summarize the information for use in supporting decision-making process
- Collect, manipulate, analyze, evaluate, and display data using visualization tools
- Perform data analysis, statistical analysis, and machine learning modeling to conduct complex studies, develop sound inferences, and summarize results using a variety of descriptive statistics
- Work with a variety of customers, users, and stakeholders to understand business objectives and design technical solutions to address the business needs
- Collaborate within project teams including other data scientists and non-technical subject matter experts to achieve high quality and impactful solutions within tight timelines
- Develop, write, and present detailed technical solutions to solve open-ended business problems to technical and non-technical audiences
- Document and present solutions, methodology, findings/outcomes, and outputs to a wide audience including leadership, technical, and non-technical resources
Required Skills:
- BA in related field or equivalent combination of education and experience + 8 yrs related experience, or MA + 5 yrs related experience
- Experience with Medicare and/or Medicaid data
- Experience with fraud detection
- Experience developing and validating AI solutions such as LLMs, chatbots, content generators, deep learning, and similar modern AI technology in cloud-based platforms (AWS, Azure, etc.)
- Experience conducting statistical/analytical and ML modeling and analysis using SAS, Python, R or similar software
- Experience working with large and disparate datasets to efficiently produce AI/ML solutions to meet business needs
- Superior skills working with large datasets efficiently and effectively incorporating quality assurance techniques throughout the process
- Superior customer service skills working proactively and collaboratively with Federal research, compliance, and policy staff and stakeholders to implement and enhance internal and external management reports and public-facing data analysis tools and data sets
- Experience using data visualization tools such as Tableau
- Experience conducting health care related research and analytics
- Superior written and verbal skills. Must write succinctly and clearly and explain complex situations in plain English to technical and non-technical audiences
- Experience proactively identifying and working collaboratively with stakeholders to resolve data anomalies, data quality, and compliance issues in administrative data
- Superior multi-tasking and organization skills. Must manage multiple simultaneous projects and prioritize assignments and tasks, accordingly, remaining flexible to changing priorities and new initiatives
- Experience supporting data governance policies and supporting infrastructures spanning diverse stakeholders
- Experience using MS E PowerPoint for analysis and presentation of results
Work Requirements
group id: 90979310
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