This role pays less than
69%
of similar roles. Most pay
$127,755–$195,000
— the shaded band above.
At the midpoint, this role pays about
$144k
versus about
$161k
for comparable roles.
Based on 239 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.
As a Data Scientist Principal at GDIT, you will join the data science and data engineering team to design and implement artificial intelligence solutions for the Centers for Medicare & Medicaid Services (CMS) Hosting, Operations & Maintenance program. You will build AI/ML solutions to transform how government agencies utilize data, specifically focusing on automated program accomplishment tracking, intelligent classification systems, and proactive knowledge management. Your daily work involves implementing generative AI with large language models and retrieval augmented generation to provide data-driven responses, while building agentic frameworks for service ticket management and journey orchestration. You will utilize Python, SQL, and the standard data science stack including Pandas, NumPy, scikit-learn, PyTorch, and TensorFlow. Additionally, you will leverage AWS cloud technologies such as Bedrock, Lambda, and SageMaker to integrate AI solutions with legacy enterprise systems and orchestration platforms.
What does a Data Scientist earn in Remote?
Median $217225 from 40 postings across 18 companies.
Remote (Silver Spring, MD)22 days ago
$204,000–$276,000
Artificial Intelligence
Machine Learning
Python
R
Java
TensorFlow
PyTorch
AWS SageMaker
Retrieval-Augmented Generation (RAG)
Agentic AI
AWS Bedrock
Azure AI Foundry
Google Vertex AI
Salesforce
Agentforce
MLOps
Zero Trust
Data Engineering
Cloud Computing