ME00643-Cryptologic Computer Scientist 2

Job Summary

• Seeking a Cryptologic Computer Scientist to support a Natural Language Processing project focused on accurately and automatically tokenizing language data originating from both spoken and written sources
• The successful candidate will develop automated language-annotation capabilities and evaluate model performance against human-generated annotations

Primary Responsibilities

• Develop NLP solutions for spoken and written language data
• Design and improve automated tokenization capabilities
• Develop automated methods for annotating language data with parts-of-speech information
• Process and analyze speech- and text-based datasets
• Evaluate model performance against human-generated annotations
• Develop quantitative approaches for scoring NLP model accuracy and performance
• Identify model deficiencies and recommend improvements
• Collaborate with linguists, data scientists, engineers, and mission stakeholders

Required Qualifications

• Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
• Bachelor’s Degree with 3 years of relevant experience, Associate's degree with 5 years of experience may be considered for individuals with in-depth experience that is clearly related to the position
• Data science experience
• Experience with Natural Language Processing
• Experience developing automated solutions for language-data processing
• Familiarity with tokenization and language annotation
• Ability to evaluate and score model performance
• Experience working with spoken and/or written language datasets

Desired Qualifications

• Experience with part-of-speech tagging
• Computational linguistics experience
• Experience benchmarking machine-generated language annotations against human-generated annotations

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.