Senior Healthcare Data Scientist – Medicare/Medicaid

General Dynamics Information Technology

. Support analytical tasks across data science, machine learning, and generative-AI projects .

Posted 9/24/2026full-timeRemote • United StatesSenior💰 $85,000 - $115,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Science with a strong focus on analyzing Medicare and Medicaid claims data using advanced statistical methods and machine learning techniques. Proficient in Python and SQL for data manipulation, visualization, and the development of generative AI solutions.

Highest-signal resume keywords

Data ScienceMedicare And Medicaid Data AnalysisPython For Data AnalysisMachine Learning TechniquesData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical MethodsSupervised LearningUnsupervised LearningPredictive ModelingAnomaly DetectionFeature EngineeringTrain/Test SplitsEvaluation MetricsData CleaningAdvanced Data Analysis

Soft Skills

CommunicationDocumentation

Tools & Technologies

PandasNumPyScikit-learnMatplotlibSeabornSQLDatabricksSnowflakeSparkHugging Face Transformers

Certifications & Qualifications

NACI (T1) Public Trust Requirement

Industry Keywords

Healthcare DataClaims DataGenerative AIMachine Learning FrameworksCloud Data Tools

Tech Stack

Tools & technologies

CloudNumpyPandasPythonScikit-LearnSparkSQL

About the role

Key responsibilities & impact

Support analytical tasks across data science, machine learning, and generative-AI projects
Analyze Medicare and Medicaid claims data using statistical methods and supervised/unsupervised learning techniques
Help develop generative-AI solution components, including prompt pipelines, simple agents, embedding workflows, and retrieval-augmented systems
Contribute to predictive modeling, anomaly detection, and program-integrity analytics
Build and maintain clean 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

What you’ll need

Bachelor’s degree with an analytical or technical focus, such as Statistics, Computer Science, Engineering, or Applied Mathematics
At least 5 years of experience in Data Science
Minimum of 2 years of experience conducting advanced analyses of Medicare and/or Medicaid data
Experience analyzing data, preferably healthcare or claims data
Familiarity with Python or R for data analysis and machine learning
Experience 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 is a plus
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
NACI (T1) public trust requirement
Less than 10% travel required

Benefits

Comp & perks

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
Flexible 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
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
Remote work / telecommuting