Data Scientist - TS/SCI w/Poly

General Dynamics Information Technology; McLean (VA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

401K with company match

Comprehensive health and wellness

Internal mobility team

Paid education and certifications

Cutting-edge technology

Paid vacation and holidays

Job summary

General Dynamics Information Technology is seeking a Data Scientist to deploy, fine-tune, and monitor production ML models in a fast-paced, mission-focused environment near Tyson Corner. The role requires experience with data extraction, ETL, data mapping, analytics, and maintaining data systems, plus the ability to work across teams to deliver reliable, scalable solutions.

Responsibilities include building and custody of production ML models across NLP, object recognition, and audio processing;

Qualifications

• Ten or more years of data science/statistical experience with a minimum of two years in software or data engineering.
• Bachelor’s or Technology degree in Engineering or an equivalent combination of education and experience.
• TS/SCI clearance with Polygraph is required.
• Excellent organizational and team-building skills.
• Location: At Customer Site near Tyson Corner (McLean, VA).

Responsibilities

• Create and maintain production ML models across tasks including NLP, audio processing, and object recognition.
• Optimize ML services to leverage GPU capabilities and roadmap future GPU requirements.
• Deploy models against streaming data for near-real-time analytics.
• Improve data architectures with data engineers to support continuous training.
• Provide ETL, data mapping, analytics, operations, and data maintenance support.

Skills

Python

CUDA

Kubernetes

CI/CD

Apache Kafka

REST architecture

OpenAI

LLMs

NLP

YOLO

Object Recognition

Whisper

SQL

Oracle

Elasticsearch

Neo4J

Redis

TensorFlow

Keras

Theano

GitHub/GitLab

Jenkins

RunDeck

Education

Bachelor’s or Technology degree in Engineering or related field

Tools

GitHub/GitLab

Jenkins

RunDeck

Job description

The Data Scientist will deploy, fine-tune, and monitor production machine learning models in a production environment. Additionally, they will provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems. As a member of the team, candidate will work in a multi-tasking, quick-paced, dynamic, process-improvement environment that requires experience with the principles of data science, data modeling, data mapping, data testing, data quality, and documentation preparation. This is a mission focused role requiring experience with deploying models in a production environment against real-time collection.

HOW A DATA SCIENTIST WILL MAKE AN IMPACT

• Create and maintain custody of production machine learning models across a variety of tasks, including but not limited to audio extraction, object recognition, Natural Language Processing (NLP), and other generic classification tasks

• Optimize existing machine learning services to better utilize current GPU capabilities and assist with road mapping future GPU requirements

• Deploy machine learning models against streaming data, designed to provide near-real time analytics to augment decision making

• Improve data architecture decisions with data engineers to better stage data for continuous training models in production

• Provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems

REQUIRED TECHNICAL SKILLS

• Demonstrated experience with the following: Python, Cuda, Kubernetes, CI/CD. Apache Kafka, REST architecture, Open-AI, LLMs, NLP, YOLO/Object Recognition, Whisper/Audio processing

• Demonstrated experience translating data insights into tools or analytic capabilities that inform operational decisions and/or improve processes

• Demonstrated experience with relational databases (SQL, Oracle) and NoSQL databases (Elasticsearch, Neo4J, Redis)

• Demonstrated experience with GPU processing

• Demonstrated experience applying machine learning methodologies to build high-quality prediction models

• Familiar with servers operating systems; Windows, Linux, Distributed Computing, Blade Centers, and cloud infrastructure

• Familiar with database methodologies

• Familiar with Source code management and integration (ex - GitHub/GitLab, Jenkins, RunDeck)

• Familiar with Data Science frameworks such as Keras, Tensorflow, or Theano

• Ability to work well in a fast-paced, constantly evolving work environment with a focus on continual process improvement and a proactive approach to problem solving

WHAT YOU’LL NEED TO SUCCEED:

• 10+ years of related data science/statistical experience and 2+ years of software engineering or data engineering experience

• Bachelor’s or Technology degree in Engineering or a related specialized area/field, OR equivalent 4 additional years job-related experience

• TS/SCI with Polygraph clearance

• Excellent organizational, coordination, interpersonal and team building skills

• Location: At Customer Site – near Tyson Corner

GDIT IS YOUR PLACE:

• 401K with company match

• Comprehensive health and wellness packages

• Internal mobility team dedicated to helping you own your career

• Professional growth opportunities including paid education and certifications

• Cutting-edge technology you can learn from

• Rest and recharge with paid vacation and holidays

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