ME00579-Data Scientist 3

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.