Job description

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 T elecommuting 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

Requirements

Must-haves

Top Secret SCI + Polygraph
Top Secret SCI + Polygraph
Data Science and Data Engineering
Data Engineering, Data Science, Oracle, Structured Query Language (SQL) Certifications:
10 + years of related experience US Citizenship Required:
HOW A DATA SCIENTIST WILL MAKE AN IMPACT:
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
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

Nice-to-haves

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Application prep

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Keywords to mirror

sqlmachine learningpythonkubernetesci/cdrestai

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k

401(K)

Paid Time Off

Wellness