DATA SCIENTIST

General Dynamics Information Technology
McLean, VA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$212,500.0 - $287,500.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Windows Artificial Intelligence Audio Signal Processing Cloud Computing Nvidia CUDA Databases Continuous Integration Data Architecture Information Engineering Extract Transform Load (ETL) Data Mapping Data Mining
+29 more
Relational Databases Database Testing Linux Distributed Systems Elasticsearch Github Python (Programming Language) Machine Learning Natural Language Processing Neo4j NoSQL Object Detection Oracle Databases Oracle (Applications) Redis Tensorflow Software Engineering SQL Databases Large Language Models Theano Keras Gitlab Kubernetes Apache Kafka Machine Learning Operations Rundeck Network Server Software Version Control Jenkins

Job description

Req ID: RQ224779 Type of Requisition: Regular Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph Public Trust/Other Required: None Job Family: Data Science and Data Engineering Skills: Data Engineering,Data Science,Oracle Database,Structured Query Language (SQL) 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

Requirements

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

Benefits & conditions

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. 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 https://gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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