Data Scientist - 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.

Responsibilities:

• 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

Requirements:

• 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

Benefits:

• 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