Healthcare Data Scientist – Medicare/Medicaid

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $80.8k - $109.3k / year

⏰ Full Time

🟢 Junior

📊 Data Scientist

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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

• Support analytical tasks across data science, machine learning, and generative-AI projects • Assist with exploratory data analysis and apply statistical methods and basic supervised/unsupervised learning techniques • Help build generative-AI solution components, including prompt pipelines, simple agents, embedding workflows, and retrieval-augmented systems • Contribute to predictive modeling, anomaly detection, and analytics identifying potential fraud, waste, and abuse in Medicare and Medicaid • Build and maintain clean, well-structured datasets using Python and SQL-based tools • Create visualizations presenting trends, patterns, and model insights • Document work and communicate findings with team members and partners • Perform additional duties as assigned

🎯 Requirements

• Bachelor’s degree with an analytical or technical focus, such as Statistics, Computer Science, Engineering, or Applied Mathematics • 1–3 years of experience in data science, analytics, or a related quantitative field • Experience using Python or R for data analysis and machine learning tasks • Familiarity with Pandas, NumPy, Scikit-learn, Matplotlib, or Seaborn • Exposure to generative AI or modern machine learning frameworks, such as Hugging Face Transformers, LangChain, embeddings, or vector databases • Familiarity with SQL and cloud data tools such as Databricks, Snowflake, or Spark • Understanding of basic statistics and foundational machine learning concepts, including feature engineering, train/test splits, and evaluation metrics • Ability to create and interpret data visualizations • US Citizenship Required: No • Clearance Level Must Currently Possess: None • Clearance Level Must Be Able to Obtain: None • Public Trust/Other Required: NACI (T1)

🏖️ Benefits

• Medical plan options, some with Health Savings Accounts • Dental plan options • Vision plan • 401(k) plan with pre-tax and post-tax contributions and company match • Full flex work weeks where possible • Paid vacation, sick, personal, holiday, 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

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