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 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

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 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. #J-18808-Ljbffr General Dynamics Information Technology

Job Tags

Holiday work, Temporary work, Remote job, Flexible hours,

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