Data Scientist - TS​/SCI w​/Poly

Regular Clearance Level Must Currently Possess:
Top Secret SCI + Polygraph Clearance Level Must Be Able to Obtain:
Top Secret SCI + Polygraph

Data Science and Data Engineering

• Skills:
  
  Data Engineering, Data Science, Oracle Database, Structured Query Language (SQL)
• Certifications:
  
  None
• Experience:
  
  10 + years of related experience
• US Citizenship
  
  Required:
  
  Yes

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.

• 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

• 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 No
  
  SQL 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 - Git Hub/Git Lab, Jenkins, Run Deck)
• 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

At Customer Site – near Tyson Corner

• 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-edg…