Data Scientist (ETL) - TS/SCI w/Poly

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, the 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, OmniSci) 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 :

• 2+ years of related data science / statistical experience and 1+ years of software engineering or data engineering experience.
• Bachelor’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 clearance.
• Excellent organizational, coordination, interpersonal and team building skills.
• Location : At Customer Site near Tyson Corner.
• US Citizenship Required.

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.

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