Data Scientist

Public Trust: None

Requisition Type: Regular

Your Impact

Own your opportunity to serve as a critical component of our nation’s safety and security. Make an impact by using your expertise to protect our country from threats.

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 SCI Poly 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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Work Requirements

Years of Experience

10 + years of related experience

* may vary based on technical training, certification(s), or degree

Certification

Travel Required

None

Citizenship

U.S. Citizenship Required