Job Summary
- Seeking a Data Scientist to support the development of advanced Natural Language Processing (NLP) solutions focused on the automated processing and analysis of spoken and written language data
- This role is responsible for building and improving models that accurately tokenize language data and annotate linguistic features, enabling scalable and high-quality language understanding capabilities
- The position involves evaluating model performance against human-generated annotations to continuously enhance accuracy and effectiveness
Primary Responsibilities
- Develop and implement NLP models to automatically tokenize language data from both spoken and written sources
- Design and build automated solutions for annotating language data with parts-of-speech (POS) tagging and linguistic features
- Train, test, and validate machine learning models for language processing tasks
- Evaluate and improve model performance by benchmarking against human-generated annotations for speech and text data
- Process and analyze large volumes of structured and unstructured language data
- Develop data pipelines to support ingestion, preprocessing, and transformation of linguistic datasets
- Collaborate with cross-functional teams to integrate NLP models into production systems
- Perform error analysis and model tuning to improve accuracy and robustness
- Document methodologies, model performance, and data processing workflows
Required Qualifications
- Must have active Top Secret/SCI clearance with Full Scope Polygraph (MD Customer)
- Master’s degree with 6 years of relevant experience, Bachelor’s Degree with 8 years of relevant experience, or Associate's Degree with 10 years of in-depth relevant experience that is clearly related to the position
- Experience with Natural Language Processing (NLP) and machine learning techniques
- Strong proficiency in Python and relevant NLP/ML libraries (e.g., NLTK, spaCy, Hugging Face, or similar)
- Experience developing models for tokenization, text processing, and linguistic annotation
- Experience working with speech and/or text data
- Understanding of model evaluation techniques, including comparison to ground truth or human-labeled data
- Strong analytical and problem-solving skills
Desired Qualifications
- Experience with part-of-speech tagging and linguistic modeling
- Experience working with multilingual or speech-based datasets
- Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow)
- Experience deploying NLP models in production environments
- Knowledge of data pipelines and large-scale data processing
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.
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.