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 IMPACTCreate 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 tasksOptimize existing machine learning services to better utilize current GPU capabilities and assist with road mapping future GPU requirementsDeploy machine learning models against streaming data, designed to provide near-real time analytics to augment decision makingImprove data architecture decisions with data engineers to better stage data for continuous training models in productionProvide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systemsREQUIRED TECHNICAL SKILLSDemonstrated experience with the following: Python, Cuda, Kubernetes, CI/CD. Apache Kafka, REST architecture, Open-AI, LLMs, NLP, YOLO/Object Recognition, Whisper/Audio processingDemonstrated experience translating data insights into tools or analytic capabilities that inform operational decisions and/or improve processesDemonstrated experience with relational databases (SQL, OmniSci) and NoSQL databases (Elasticsearch, Neo4J, Redis)Demonstrated experience with GPU processingDemonstrated experience applying machine learning methodologies to build high-quality prediction modelsFamiliar with servers operating systems; Windows, Linux, Distributed Computing, Blade Centers, and cloud infrastructureFamiliar with database methodologiesFamiliar with Source code management and integration (ex - GitHub/GitLab, Jenkins, RunDeck)Familiar with Data Science frameworks such as Keras, Tensorflow, or TheanoAbility to work well in a fast-paced, constantly evolving work environment with a focus on continual process improvement and a proactive approach to problem solvingWHAT YOU LL NEED TO SUCCEED:2+ years of related data science/statistical experience and 1+ years of software engineering or data engineering experienceBachelor s or Technology degree in Engineering or a related specialized area/field, OR equivalent 4 years job-related experience OR Master's degree with 3+ years of job-related experience.TS/SCI with Poly clearanceExcellent organizational, coordination, interpersonal and team building skillsLocation: At Customer Site near Tyson CornerUS Citizenship RequiredGDIT IS YOUR PLACE:401K with company matchComprehensive health and wellness packagesInternal mobility team dedicated to helping you own your careerProfessional growth opportunities including paid education and certificationsCutting-edge technology you can learn fromRest and recharge with paid vacation and holidays

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