Data Scientist 3 - NLP & Tokenization - Tailored Access, LLC

Key Responsibilities

• Design and implement automated tokenization pipelines for spoken and written language data.
• Develop and maintain annotation tools to tag parts of speech and other linguistic features.
• Evaluate and benchmark NLP models against human-generated annotations, providing actionable insights.
• Collaborate with cross‑functional teams to integrate NLP solutions into production workflows.
• Document processes, model performance, and best practices for future reference.

Requirements

• Extensive experience with Python and NLP libraries (e.g., spaCy, NLTK, Hugging Face).
• Strong background in machine learning, model evaluation, and statistical analysis.
• Hands‑on experience with speech recognition and tokenization challenges.
• Excellent communication skills and ability to translate technical findings to non‑technical stakeholders.
• Security clearance or ability to obtain one is preferred.