Data Scientist - TS/SCI w/Poly

Posted 25 Days Ago
Be an Early Applicant
McLean, VA, USA
In-Office
213K-288K Annually
Expert/Leader
Aerospace • Information Technology • Professional Services • Security • Software
The Role
Deploy, fine-tune, and monitor production ML models for real-time streams (audio, object recognition, NLP). Support ETL, data mapping, analytics, databases, GPU optimization, CI/CD, and collaborate on data architecture for continuous training in a mission-focused environment requiring TS/SCI with polygraph.
Summary Generated by Built In

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret SCI + Polygraph

Clearance Level Must Be Able to Obtain:

Top Secret SCI + Polygraph

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Data Engineering, Data Science, Oracle, Structured Query Language (SQL)

Certifications:

None

Experience:

10 + years of related experience

US Citizenship Required:

Yes

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

WHAT YOU’LL NEED TO SUCCEED:

  • The position requires an active TS/SCI with Polygraph clearance

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

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

  • 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

  • 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

#GDITCareers

#GDITPolyEvent

#VA_2026Alumni

#GDITEnhanced2026

#MissionPoly2026

#CJPost

#Jet

The likely salary range for this position is $212,500 - $287,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Onsite

Work Location:

USA VA McLean

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

 



Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Skills Required

  • 10+ years of related data science/statistical experience
  • 2+ years of software engineering or data engineering experience
  • Bachelor's degree in Engineering or related field or equivalent additional experience
  • Active Top Secret/SCI clearance with Polygraph (TS/SCI + Poly)
  • US Citizenship
  • Demonstrated experience with Python and CUDA (GPU processing)
  • Experience with Kubernetes, CI/CD, and containerized deployments
  • Experience with Apache Kafka and deploying models against streaming data
  • Experience with REST architecture and building service integrations
  • Experience with LLMs, OpenAI, NLP, YOLO/object recognition, and Whisper/audio processing
  • Experience with relational and NoSQL databases (SQL, Oracle, Elasticsearch, Neo4J, Redis)
  • Familiarity with Windows and Linux server OS, distributed computing, blade centers, and cloud infrastructure
  • Familiarity with source code management and CI tools (GitHub/GitLab, Jenkins, RunDeck)
  • Familiarity with data science frameworks (Keras, TensorFlow, Theano)
  • Ability to work in a fast-paced, process-improvement environment with strong teamwork and organizational skills

General Dynamics Information Technology Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about General Dynamics Information Technology and has not been reviewed or approved by General Dynamics Information Technology.

  • Affordable Benefits Pay and benefits are described as good or okay in multiple places, and the overall package is often portrayed as acceptable even when base pay is not viewed as top-tier.
  • Healthcare Strength Medical, dental, and vision plan options are presented as comprehensive, with additional protections like disability and life insurance contributing to a well-rounded health and protection offering.
  • Retirement Support A 401(k) plan with company match is consistently highlighted as part of the total rewards package, supporting longer-term financial planning.

General Dynamics Information Technology Insights

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The Company
HQ: Falls Church, VA
21,625 Employees

What We Do

We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

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