Data Scientist

General Dynamics

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $212,500–$287,500 / yr
Posted: 50 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $154k

This role $250k

$88k most similar roles pay here $309k

This role pays more than 97% of similar roles. Most pay $126,800–$181,300 — the shaded band above. At the midpoint, this role pays about $250k 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 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 · Data Scientist

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The Data Scientist - TS/SCI w/Poly will deploy, fine-tune, and monitor production machine learning models in a dynamic environment. The role involves managing models for audio extraction, object recognition, Natural Language Processing, and general classification tasks while optimizing services to utilize GPU capabilities. Key responsibilities include performing ETL processes, data mapping, and maintaining associated systems to provide near-real-time analytics for decision making. The candidate will utilize a technical stack including Python, Cuda, Kubernetes, CI/CD, Apache Kafka, REST architecture, Open-AI, LLMs, YOLO, Whisper, Keras, and Tensorflow. Experience with SQL, Oracle, Elasticsearch, Neo4J, and Redis is required to manage relational and NoSQL databases. The position focuses on the technical challenge of deploying models against real-time streaming data to improve data architecture and provide actionable insights for operational decision making.

What does a Data Scientist earn in Virginia?

Median $145200 from 75 postings across 5 companies.

See salary data

Skills

Python CUDA Kubernetes CI/CD Apache Kafka REST Open-AI LLMs NLP YOLO Whisper SQL Oracle Elasticsearch Neo4J Redis Keras TensorFlow Theano GitHub GitLab Jenkins RunDeck Linux Windows

What you'll do

Deploy, fine-tune, and monitor 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 map future hardware requirements.
Deploy models against streaming data to provide near-real-time analytics for decision making.
Collaborate with data engineers to improve architecture for continuous model training.
Perform data extraction, transformation, loading (ETL), mapping, and database maintenance.
Translate complex data insights into tools and capabilities that inform operational decisions.

What we're looking for

Must be a United States citizen.
Must possess an active Top Secret SCI with Polygraph clearance.
Requires 10+ years of related data science or statistical experience.
Requires 2+ years of software engineering or data engineering experience.
Bachelor's degree in Engineering or a related field, or equivalent four years of job-related experience.
Must have experience with Python, Cuda, Kubernetes, CI/CD, and GPU processing.
Must have experience with SQL, Oracle, and NoSQL databases like Elasticsearch, Neo4J, or Redis.
US Citizenship.

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