Senior Healthcare Data Scientist

General Dynamics

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Silver Spring, MD
Salary: $97,968–$132,250 / yr
Posted: 58 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $154k

This role $115k

$85k $223k

below market most similar roles pay here above market

This role pays less than 94% of similar roles. Most pay $126,800–$182,162 — the blue band above. At the midpoint, this role pays about $115k versus about $154k for comparable roles.

Based on 240 similar postings.

Employer

About General Dynamics

General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.

General Dynamics currently has 1377 open roles on FindRole.

Listed pay typically runs $124,093–$150,385 across 1184 roles with salary data.

Most-posted roles

View all roles at General Dynamics

At a glance

TL;DR · Senior Healthcare Data Scientist

Role Posting Log in to save

The Sr. Healthcare Data Scientist (Medicare/Medicaid) joins the Data Science and Data Engineering team to evolve analytical capabilities for detecting and preventing fraud, waste, and abuse within Medicare and Medicaid programs. The role involves analyzing claims data using statistical and machine learning techniques to build predictive and anomaly detection models. Key responsibilities include developing generative AI-powered solutions, agent-based systems, and retrieval-augmented pipelines to optimize business processes and improve program integrity. Candidates must utilize Python, R, SQL, Databricks, Snowflake, and Spark, alongside specific packages like Pandas, NumPy, Tensorflow, Scikit learn, Seaborn, GGplot, and Matplotlib. Required expertise includes Agentic AI, Big Data, Generative AI, and LLM orchestration tools such as LangChain, LangGraph, and Hugging Face Transformers to solve complex healthcare data challenges.

Skills

Generative AI Agentic AI Python Machine Learning LLM LangChain LangGraph Hugging Face Transformers Vector Databases Databricks Snowflake Spark SQL Pandas NumPy Tensorflow Scikit learn R Seaborn Matplotlib GGplot Big Data Feature Engineering

What you'll do

Analyze Medicare and Medicaid claims data using statistical and machine learning techniques.
Develop generative AI-powered solutions and agent-based systems to enhance fraud detection.
Build predictive and anomaly detection models to improve program integrity and business efficiencies.
Leverage large-scale CMS data using LLMs, embeddings, vector databases, and retrieval-augmented pipelines.
Create data visualizations to illustrate trends and present complex analyses to various audiences.
Present technical and non-technical findings to leadership and stakeholders.

What we're looking for

Must possess a NACI (T1) clearance.
Bachelor's degree with an analytical or technical focus such as Statistics, Computer Engineering, or Applied Mathematics.
Minimum 5 years of experience in Data Science.
Minimum 2 years of experience conducting advanced analyses of Medicare and/or Medicaid data.
Proficiency in Python or R for data science and machine learning.
Experience with data science packages including Pandas, NumPy, Tensorflow, Scikit learn, Seaborn, GGplot, and Matplotlib.
Familiarity with SQL, Databricks, Snowflake, and Spark technologies.
Hands-on experience with generative AI technologies including LangChain, LangGraph, Hugging Face Transformers, vector databases, and LLM orchestration tools.

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