Senior Healthcare Data Scientist (Medicare/Medicaid)

General Dynamics

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Silver Spring, MD
Salary
$97,968–$132,250 / yr
Posted
12 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $159k
This role $115k
$85k most similar roles pay here $223k

This role pays less than 95% of similar roles. Most pay $126,800–$191,062 — the shaded band above. At the midpoint, this role pays about $115k versus about $159k 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 1123 open roles on FindRole.

Listed pay typically runs $124,093–$150,385 across 984 roles with salary data.

Most-posted roles

View all roles at General Dynamics

At a glance

TL;DR · Senior Healthcare Data Scientist (Medicare/Medicaid)

As a Sr. Healthcare Data Scientist (Medicare/Medicaid), you will join the team to evolve analytical capabilities for detecting and preventing fraud, waste, and abuse within Medicare and Medicaid programs. You will perform advanced analyses of claims data using statistical methods and machine learning to build predictive models and identify complex patterns. Your daily work involves developing generative AI-powered solutions, agent-based systems, and retrieval-augmented pipelines to optimize business processes and program integrity. To succeed, you must be proficient in Python or R, along with libraries like Pandas, NumPy, Scikit learn, and TensorFlow. You will also utilize SQL, Databricks, Snowflake, Spark, and specialized tools such as LangChain, Hugging Face Transformers, and vector databases. This role requires expertise in big data, LLMs, and feature engineering to solve critical healthcare oversight challenges through innovative AI technologies.

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 outcomes.
  • Leverage large-scale CMS data using LLMs, embeddings, vector databases, and retrieval-augmented pipelines.
  • Create data visualizations to present complex analyses and illustrate trends.
  • Present technical and non-technical findings to various levels of leadership.

What we're looking for

  • Must possess a Bachelor's degree with an analytical or technical focus such as Statistics, Computer Engineering, or Applied Mathematics.
  • Minimum of 5 years of experience in Data Science.
  • Minimum of 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 tools like LangChain, LangGraph, Hugging Face, vector databases, and LLM orchestration.
  • Must be able to obtain a NACI (T1) clearance.

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