Healthcare Data Scientist – Medicare/Medicaid

General Dynamics Information Technology

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

Posted 11/4/2026full-timeRemote • United StatesJunior💰 $80,750 - $109,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and machine learning, with a strong focus on Python and SQL for data analysis and model development. Proficient in creating visualizations and applying statistical methods to derive insights from complex datasets.

Highest-signal resume keywords

Python ProgrammingData AnalysisMachine LearningSQL ProficiencyGenerative AI Exposure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceStatistical MethodsPredictive ModelingAnomaly DetectionFeature EngineeringTrain/Test SplitsEvaluation MetricsExploratory Data AnalysisSupervised LearningUnsupervised Learning

Soft Skills

CommunicationDocumentation

Tools & Technologies

PandasNumPyScikit-learnMatplotlibSeabornHugging Face TransformersLangChainDatabricksSnowflakeSpark

Certifications & Qualifications

Bachelor’s Degree

Industry Keywords

MedicareMedicaidFraud DetectionWaste IdentificationAbuse Prevention

Tech Stack

Tools & technologies

CloudNumpyPandasPythonScikit-LearnSnowflakeSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

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
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