Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long-term stability and expertise for our customers’ critical needs.

Job Summary

• Seeking a Data Scientist to support a Natural Language Processing project focused on automatically processing spoken and written language data
• The successful candidate will develop automated tokenization and linguistic annotation capabilities and evaluate model performance against human-generated annotations

Primary Responsibilities

• Develop NLP solutions for spoken and written language data
• Develop automated approaches for accurate language tokenization
• Create automated solutions for annotating language data with parts-of-speech information
• Analyze speech and text datasets
• Improve existing NLP models and processing techniques
• Evaluate model performance against human-generated annotations
• Develop quantitative methods for measuring model accuracy and effectiveness
• Document model performance, analytical methods, and recommended improvements

Required Qualifications

• Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
• Master’s degree with 6 years of relevant experience, Bachelor’s degree with 8 years of relevant experience, Associate's degree with 10 years of in-depth relevant experience that is clearly related to the position
• Experience with Natural Language Processing
• Experience processing text and/or speech data
• Experience developing automated language-processing solutions
• Understanding of tokenization and linguistic annotation concepts
• Experience evaluating model performance
• Strong analytical and software-development skills

Desired Qualifications

• Experience with parts-of-speech tagging
• Computational linguistics background
• Experience evaluating automated NLP output against human-generated annotations
• Experience working with both speech and text datasets

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.