below marketmost similar roles pay hereabove market
This role pays more than
97%
of similar roles. Most pay
$126,800–$180,000
— the blue band above.
At the midpoint, this role pays about
$250k
versus about
$153k
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.
JOB TITLE: Data Scientist - TS/SCI w/Poly
The Data Scientist will join the Data Science and Data Engineering team to deploy, fine-tune, and monitor production machine learning models. This role involves managing models for audio extraction, object recognition, and Natural Language Processing while optimizing services for GPU capabilities. The successful candidate will perform data extraction, transformation, loading, mapping, and maintenance of associated systems. Key responsibilities include deploying models against streaming data to provide near-real-time analytics for operational decision-making. Required technical skills include Python, Cuda, Kubernetes, CI/CD, Apache Kafka, REST architecture, Open-AI, LLMs, YOLO, Whisper, SQL, Oracle, Elasticsearch, Neo4J, and Redis. The position requires expertise in Keras, Tensorflow, or Theano, alongside experience with Linux, Windows, and distributed computing to solve complex data architecture and production modeling problems.
What does a Data Scientist earn in Virginia?
Median $162000 from 89 postings across 9 companies.
Deploy, fine-tune, and monitor production machine learning models in a production environment.
Create and maintain models for audio extraction, object recognition, and Natural Language Processing.
Optimize machine learning services to maximize GPU capabilities and roadmap future hardware requirements.
Deploy models against streaming data to provide near-real-time analytics for decision making.
Improve data architecture with engineers to stage data for continuous model training.
Perform data extraction, transformation, loading (ETL), mapping, and database maintenance.
Translate data insights into tools or analytic capabilities to inform operational decisions.
What we're looking for
Must be a US Citizen.
Must currently possess a Top Secret SCI with Polygraph clearance.
Must have 10+ years of related data science or statistical experience.
Must have 2+ years of software engineering or data engineering experience.
Must have a Bachelor's or Technology degree in Engineering or a related field, or equivalent 4 additional years of job-related experience.
Must have experience with Python, Cuda, Kubernetes, CI/CD, Apache Kafka, REST architecture, Open-AI, LLMs, NLP, YOLO/Object Recognition, and Whisper/Audio processing.
Must have experience with relational databases (SQL, Oracle) and NoSQL databases (Elasticsearch, Neo4J, Redis).
Must have experience with GPU processing and data science frameworks such as Keras, Tensorflow, or Theano.
ETL Development
LLMOps
Node.js
NoSQL
Python
APIs
Microservices
Distributed Systems
Large Language Models
Data Pipelines
Agile
MCP Servers
API Management
Help Desk Software
Remote Support
Network Connectivity
Ticketing Systems
Peripheral Troubleshooting
CompTIA Security+
Remote Access Tools
Technical Support