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About the role
We are looking for a highly skilled and experienced Principal Data Scientist / Senior Data Scientist/Data Scientist- NLP to join our team at Benovymed Healthcare Private Limited. The ideal candidate will have a strong background in Natural Language Processing (NLP) and data analysis, with excellent problem-solving skills and the ability to work collaboratively with cross-functional teams. Roles and Responsibility - Develop and implement advanced NLP models and algorithms to extract insights from large datasets. - Collaborate with data engineers to design and develop scalable data pipelines and architectures. - Work closely with stakeholders to identify business problems and develop solutions using data science techniques. - Conduct thorough data analysis and interpretation to inform business decisions. - Stay up-to-date with industry trends and advancements in NLP and data science. - Lead and mentor junior team members to improve their skills and knowledge. Job Requirements - Solid proficiency in programming languages such as Python, R, or Java. - Experience with NLP libraries and tools such as NLTK, spaCy, or Stanford CoreNLP. - Excellent understanding of machine learning algorithms and deep learning techniques. - Strong mathematical foundations in statistics and probability theory. - Ability to communicate complex technical concepts effectively to non-technical stakeholders. - Experience working with large datasets and developing scalable data systems. We are looking for a highly skilled and experienced Principal Data Scientist / Senior Data Scientist/Data Scientist- NLP to join our team at Benovymed Healthcare Private Limited. The ideal candidate will have a strong background in Natural Language Processing (NLP) and data analysis, with excellent problem-solving skills and the ability to work collaboratively with cross-functional teams. Roles and Responsibility - Develop and implement advanced NLP models and algorithms to extract insights from large datasets. - Collaborate with data engineers to design and develop scalable data pipelines and architectures. - Work closely with stakeholders to identify business problems and develop solutions using data science techniques. - Conduct thorough data analysis and interpretation to inform business decisions. - Stay up-to-date with industry trends and advancements in NLP and data science. - Lead and mentor junior team members to improve their skills and knowledge. Job Requirements - Solid proficiency in programming languages such as Python, R, or Java. - Experience with NLP libraries and tools such as NLTK, spaCy, or Stanford CoreNLP. - Excellent understanding of machine learning algorithms and deep learning techniques. - Strong mathematical foundations in statistics and probability theory. - Ability to communicate complex technical concepts effectively to non-technical stakeholders. - Experience working with large datasets and developing scalable data systems.
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