ME00579-Data Scientist 3
ME00579-Data Scientist 3
Posted yesterday
SENIORITY
Senior
About the role
- 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
- 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
- Experience working with annotated language datasets and linguistic frameworks
- Familiarity with machine learning or deep learning models for NLPExperience with speech processing or audio data analysis
- Knowledge of model evaluation techniques and performance benchmarking
- Experience working in mission-driven or government environments
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A number in mind
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Your notice period
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