We're seeking a highly skilled Senior Data Scientist with a focus on Natural Language Processing (NLP) to drive AI initiatives within the American health industry. Key Responsibilities: 1. Conduct thorough data exploration to validate NLP requirements and ensure data quality. 2. Perform NLP pre-processing tasks, including tokenization, lexical, syntactic, semantic, and pragmatic analysis. 3. Define and implement NLP models aligned with business outcomes. 4. Contribute to building agentic intelligence systems and RAG frameworks. 5. Develop and manage ontologies for effective data utilization and understanding. 6. Train and validate models through rigorous experimentation. 7. Document development processes and results for stakeholders. 8. Engage in text classification and sentiment analysis using traditional and deep learning models. 9. Continuously evaluate and improve NLP model performance. Required Skills: - Data Science experience, especially in NLP projects. - Proficiency in Python and libraries like NLTK, spaCy, Gensim. - Knowledge of NLP techniques such as Topic Extraction, Summarization, Categorization, Sentiment Analysis. - Experience with sequence-to-sequence models, topic modeling techniques like LDA and NMF. - Understanding of the entire data science pipeline and validation techniques. - Awareness of ethical considerations in NLP. - Strong problem-solving, creativity, and communication skills. - Experience with international projects and cross-functional collaboration. Benefits: We offer a comprehensive benefits package, including healthcare, meal vouchers, parental leave, mobile subsidy, insurance, professional development opportunities, holidays, paid vacations, and more. We're committed to diversity and inclusion, and we encourage candidates from all backgrounds to apply.