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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Healthcare Data Scientist (Medicare/Medicaid) - **Company:** General Dynamics Information Technology - **Location:** Fairfax, VA, United States - **Experience:** Expert - **Salary:** $97,968.0 - $132,250.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Computer Engineering, Data Visualization, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, NumPy, Tensorflow, SQL Databases, Feature Engineering, Large Language Models, Snowflake, Multi-Agent Systems, Apache Spark, Generative AI, Pandas, Matplotlib, Scikit Learn, HuggingFace, Virtual Agents, Databricks - **Published:** September 1, 2026 - **Apply:** https://dejobs.org/x/x/B149FC4014F64CA4A07C50ABD9D11D8C/job/ ## About the Role Agentic AI,Big Data,Generative AI,Machine Learning Methods,Python (Programming Language) Experience: 5 + years of related experience, * Bachelors degree with an analytical or technical focus (i.e., Statistics, Computer Engineering, Applied Mathematics) or related area * Minimum 5 years of experience in Data Science * Minimum of 2 years of experience conducting advanced analyses of Medicare and/or Medicaid data * Familiarity with R or Python for data science (including machine learning) * Familiarity and experience with one or more of the following data science packages: Pandas, NumPy, Tensorflow, Scikit learn, Seaborn, GGplot, Matplotlib * Familiarity with SQL, Databricks, Snowflake and Spark languages/technologies * Hands-on experience with generative AI technologies such as LangChain, LangGraph, Hugging Face Transformers, vector databases, agent frameworks, or LLM orchestration tools. * Understanding of statistics and basic analytic model development principles such as feature engineering, attribute selection, threshold setting, train/test split, etc. * Ability to create data visualizations to present complex analyses and to illustrate trends * A self-starter mindset with strong curiosity, problem-solving abilities, and the ability to simplify and explain complex data and AI systems ## Description Our work is looking for a Sr. Data Scientist with deep experience in advanced analytics and modern AI technologies. In this role, you will help evolve the analytical capabilities used to detect and prevent fraud, waste, and abuse (FWA) in the Medicare and Medicaid programs. This includes working with cutting-edge generative AI models, AI agents, and scalable data science tools. A typical day will include: * Analyzing Medicare and Medicaid claims data using statistical and machine learning techniques. * Developing generative AI-powered solutions and agent-based systems to enhance fraud detection, investigate complex patterns, and optimize business processes. * Building predictive and anomaly detection models to improve insights, efficiencies, and program integrity outcomes. * Identifying opportunities to leverage large-scale CMS data with modern AI/ML methods, including LLMs, embeddings, vector databases, and retrieval-augmented pipelines. * Present findings to a range of audiences (technical/non-technical) and to various levels of leadership. * Performs additional duties as assigned. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Vectorize all the things! 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