Data Scientist Principal

General Dynamics

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Silver Spring, MD
Salary
$122,400–$165,600 / yr
Posted
55 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $179k
This role $144k
$110k $237k
below market most similar roles pay here above market

This role pays less than 76% of similar roles. Most pay $149,225–$208,800 — the blue band above. At the midpoint, this role pays about $144k versus about $179k 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 · Data Scientist Principal

The Data Scientist Principal joins the Data Science and Data Engineering team to design and implement artificial intelligence solutions for the Centers for Medicare & Medicaid Services Hosting, Operations & Maintenance program. This role involves building custom and vendor-based AI solutions from prototype to production, including generative AI with large language models and retrieval augmented generation. Key responsibilities include developing automated program tracking, intelligent classification systems, and agentic frameworks for service ticket management. The successful candidate will utilize Python, SQL, and the data science stack including Pandas, NumPy, scikit-learn, and PyTorch or TensorFlow. Expertise in AWS cloud technologies like Bedrock, Lambda, and SageMaker is required. The position focuses on solving big data obstacles by integrating advanced machine learning methods and scientific data analysis into legacy enterprise systems.

What does a Data Scientist earn in Remote?

Median $216300 from 36 postings across 16 companies.

See salary data

What you'll do

  • Implement custom-built and vendor-based AI solutions from prototype through production.
  • Develop generative AI solutions using large language models and retrieval augmented generation.
  • Build an agentic framework for service ticket management and intelligent journey orchestration.
  • Design AI systems for automated program tracking, intelligent classification, and knowledge management.
  • Integrate advanced AI capabilities and coding tools across the existing suite of products.
  • Establish and scale AI/ML programs by developing roadmaps and increasing user adoption.
  • Integrate AI solutions with legacy enterprise systems and orchestration platforms.
  • Supervise and mentor other AI/ML Data Scientists.

What we're looking for

  • Master's Degree in Computer Science, Data Science, Statistics, or a related field (or equivalent experience).
  • 8+ years of experience as a data scientist with a proven track record of deploying AI/ML production solutions.
  • Proficiency in Python data science stack (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow) and SQL.
  • Expertise in Artificial Intelligence, Machine Learning methods, and scientific data analysis.
  • Experience with generative AI (GenAI) using large language models (LLMs) and retrieval augmented generation (RAG).
  • Expertise in AI/ML cloud technologies (preferably on AWS, including Bedrock, Lambda, and SageMaker) (preferred).
  • Ability to obtain a Public Trust clearance by living in the United States at least three of the last five years.
  • Ability to supervise and mentor other AI/ML Data Scientists.

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