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General Dynamics Information Technology

Builds and runs technology for government agencies

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeMcLean, VA, USAIn-person

About the Job

Requirements

  • Ten or more years of related data science or statistical experience and two or more years of software engineering or data engineering experience.
  • A Bachelor's degree or Technology degree in Engineering or a related specialized area/field, or four additional years of job-related experience.
  • An active Top Secret/Sensitive Compartmented Information clearance with polygraph.
  • Demonstrated experience with Python, CUDA, Kubernetes, continuous integration/continuous delivery, Apache Kafka, REST architecture, OpenAI, large language models, natural language processing, YOLO/object recognition, and Whisper/audio processing.
  • Demonstrated experience translating data insights into tools or analytic capabilities that inform operational decisions or improve processes.
  • Demonstrated experience with relational databases including SQL and Oracle, and NoSQL databases including Elasticsearch, Neo4j, and Redis.
  • Demonstrated experience with GPU processing and applying machine learning methodologies to build high-quality prediction models.
  • Familiarity with Windows and Linux server operating systems, distributed computing, blade centers, and cloud infrastructure.
  • Familiarity with database methodologies, source code management and integration tools such as GitHub, GitLab, Jenkins, and RunDeck, and data science frameworks such as Keras, TensorFlow, or Theano.
  • Ability to work in a fast-paced, evolving environment focused on continual process improvement and proactive problem solving.
  • Organizational, coordination, interpersonal, and team-building skills.

Responsibilities

  • Create and maintain production machine learning models across tasks including audio extraction, object recognition, natural language processing, and classification.
  • Optimize existing machine learning services to better use current GPU capabilities and help plan future GPU requirements.
  • Deploy machine learning models against streaming data to provide near-real-time analytics that augment decision-making.
  • Improve data architecture decisions with data engineers to better stage data for continuous training models in production.
  • Support data extraction, transformation, and loading; data mapping; analytics; operations; databases; and maintenance of data and associated systems.
  • Apply data science principles, data modeling, data mapping, data testing, data quality practices, and documentation preparation in support of the mission-focused role.

About the Company

General Dynamics Information Technology

Builds and runs technology for government agencies

GDIT builds and runs technology systems for U.S. government agencies, including defense, intelligence and civilian organizations. Its work spans cloud infrastructure, cybersecurity and software development, with tools tailored to sensitive missions and large agency operations. The company combines its own reusable technology solutions with commercial products, then earns revenue through contracts to design, integrate, modernize and operate customer systems, including support for both classified and unclassified networks. It also supplies technical expertise and daily operational support, and is a business unit of General Dynamics headquartered in Falls Church, Virginia.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Falls Church, VA
Founded
1999

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