Data Scientist- NLP/Text Mining

As a Sr. NLP Text Mining Scientist / Engineer, you will have the opportunity to lead a team and shape team culture in a new, high-growth organization. Your key responsibilities will include: - Developing Natural Language Medical/Healthcare documents comprehension related products to support Health business objectives, products, and improve processing efficiency, reducing overall healthcare costs. - Gathering external data sets, building synthetic data, and labeling data sets as per the needs for NLP/NLR/NLU. - Applying expert software engineering skills to build Natural Language products that improve automation and user experiences leveraging unstructured data storage, Entity Recognition, POS Tagging, ontologies, taxonomies, data mining, information retrieval techniques, machine learning approach, distributed and cloud computing platforms. - Owning the Natural Language and Text Mining products from platforms to systems for model training, versioning, deploying, storage, and testing models with creating real-time feedback loops to fully automated services. - Working closely and collaborating with Data Scientists, Machine Learning engineers, IT teams, and Business stakeholders spread out across various locations in the US and India to achieve business goals. - Providing mentoring to other Data Scientists and Machine Learning Engineers. Qualifications Required: - 7+ years of Industry experience primarily related to Unstructured Text Data and NLP (PhD work and internships related to unstructured text will be considered if not more than 2 years towards industry experience). - Strong understanding of mathematical concepts including but not limited to linear algebra, advanced calculus, partial differential equations, and statistics including Bayesian approaches. - Strong programming experience including understanding of concepts in data structures, algorithms, compression techniques, high-performance computing, distributed computing, and various computer architecture. - Additional coursework, projects, research participation, and/or publications in Natural Language processing, reasoning and understanding, information retrieval, text mining, search, computational linguistics, ontologies, semantics. - Experience with developing and deploying products in production with experience in two or more of the following languages (Python, C++, Java, Scala). - Strong Unix/Linux background and experience with at least one of the following cloud vendors like AWS, Azure, and Google for 2+ years. - Hands-on experience with one or more of high-performance computing and distributed computing like Spark, Dask, Hadoop, CUDA distributed GPU (2+ years). - Thorough understanding of deep learning architectures and hands-on experience with one or more frameworks like TensorFlow, PyTorch, Keras (2+ years). - Hands-on experience with libraries and tools like Spacy, NLTK, Stanford core NLP, Genism, johnsnowlabs for 5+ years. - Understanding business use cases and being able to translate them to the team with a vision on how to implement. - Identifying enhancements and building best practices that can help improve the productivity of the team. You will play a crucial role in leading the team and contributing towards the development and deployment of cutting-edge Natural Language and Text Mining products. As a Sr. NLP Text Mining Scientist / Engineer, you will have the opportunity to lead a team and shape team culture in a new, high-growth organization. Your key responsibilities will include: - Developing Natural Language Medical/Healthcare documents comprehension related products to support Health business objectives, products, and improve processing efficiency, reducing overall healthcare costs. - Gathering external data sets, building synthetic data, and labeling data sets as per the needs for NLP/NLR/NLU. - Applying expert software engineering skills to build Natural Language products that improve automation and user experiences leveraging unstructured data storage, Entity Recognition, POS Tagging, ontologies, taxonomies, data mining, information retrieval techniques, machine learning approach, distributed and cloud computing platforms. - Owning the Natural Language and Text Mining products from platforms to systems for model training, versioning, deploying, storage, and testing models with creating real-time feedback loops to fully automated services. - Working closely and collaborating with Data Scientists, Machine Learning engineers, IT teams, and Business stakeholders spread out across various locations in the US and India to achieve business goals. - Providing mentoring to other Data Scientists and Machine Learning Engineers. Qualifications Required: - 7+ years of Industry experience primarily related to Unstructured Text Data and NLP (PhD work and internships related to unstructured text will be considered if not more than 2 years towards industry experience). - Strong understanding of mathematical concepts including but not l