Senior Healthcare Data Scientist – Medicare/Medicaid

🕒 August 30

🇺🇸 United States – Remote

💵 $98k - $132.3k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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👻 Ghost score 13%

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General Dynamics Information Technology

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1954

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.

📋 Description

• Analyze Medicare and Medicaid claims data using statistical and machine learning techniques • Develop generative AI-powered solutions and agent-based systems to enhance fraud, waste, and abuse detection, investigate complex patterns, and optimize business processes • Build predictive and anomaly detection models to improve insights, efficiencies, and program integrity outcomes • Identify opportunities to leverage large-scale CMS data with modern AI/ML methods, including LLMs, embeddings, vector databases, and retrieval-augmented pipelines • Present findings to technical and non-technical audiences and various levels of leadership • Perform additional duties as assigned

🎯 Requirements

• Bachelor’s degree with an analytical or technical focus, such as Statistics, Computer Engineering, or Applied Mathematics, or related area • Minimum 5 years of experience in Data Science • Minimum 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 Pandas, NumPy, TensorFlow, Scikit-learn, Seaborn, GGplot, or Matplotlib • Familiarity with SQL, Databricks, Snowflake, and Spark 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, including feature engineering, attribute selection, threshold setting, and train/test split • Ability to create data visualizations to present complex analyses and illustrate trends • Strong curiosity, problem-solving abilities, and ability to simplify and explain complex data and AI systems • US citizenship is not required • NACI (T1) public trust requirement

🏖️ Benefits

• Medical plan options, including plans with Health Savings Accounts • Dental plan options • Vision plan • 401(k) plan with pre-tax and post-tax contributions up to IRS annual limits and company match • Full flex work weeks where possible • Paid vacation, sick, personal time, holidays, parental, military, bereavement, and jury duty leave • Typically 15 days of paid leave per calendar year for new employees • 10 paid holidays per year • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees • Short- and long-term disability benefits • Life insurance • Accidental death and dismemberment insurance • Personal accident insurance • Critical illness insurance • Business travel and accident insurance