ME00579-Data Scientist 3

Job description

Job Summary Seeking a Data Scientist to support a Natural Language Processing (NLP) project focused on developing automated solutions to process, analyze, and annotate language data derived from both spoken and written sources This role involves building and improving models that tokenize language data, assign linguistic features such as parts of speech, and evaluate model performance against human-generated annotations to ensure accuracy and reliability Primary Responsibilities Develop and implement NLP models and algorithms to tokenize and process spoken and written language data Design and build automated annotation solutions for labeling language data, including parts-of-speech tagging and related linguistic features Evaluate and improve model performance by comparing outputs against human-generated annotations and refining algorithms accordingly Analyze large volumes of structured and unstructured language data to identify patterns and improve model accuracy Support development of training datasets and annotation frameworks to enhance model performance Collaborate with cross-functional teams to align NLP solutions with mission and data requirements Perform data preprocessing, cleansing, and transformation to prepare datasets for modeling Document methodologies, model performance metrics, and findings to support repeatability and continuous improvement Stay current with advancements in NLP, machine learning, and language modeling techniques 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) techniques and tools Proficiency in Python and common NLP/data science libraries (e.g., NLTK, spaCy, scikit-learn) Experience with text and speech data processing, including tokenization and annotation Ability to evaluate model performance using quantitative metrics and comparison methods Strong analytical and problem-solving skills Desired Qualifications Experience working with annotated language datasets and linguistic frameworks Familiarity with machine learning or deep learning models for NLP Experience with speech processing or audio data analysis Knowledge of model evaluation techniques and performance benchmarking Experience working in mission-driven or government environments 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.