Senior Data Scientist - AI & Healthcare Analytics

Role Overview: You will be joining Elevance Health as a Senior Data Scientist with strong analytical skills and a background in US Healthcare. Your role will involve demonstrating expertise in programming with a strong background in machine learning and data processing, possessing strong analytical skills to interpret complex healthcare datasets, collaborating closely with AI/ML engineers, data scientists, and product teams, and developing and maintaining enterprise-grade data pipelines to support AI/ML models. You will also be responsible for working with diverse data types, communicating effectively and collaborating with cross-functional teams, operating independently with minimal guidance, embracing complex problems, and delivering intelligence-driven solutions with a focus on innovation and scalability. Key Responsibilities: - Demonstrate expertise in programming with a strong background in machine learning and data processing. - Possess strong analytical skills to interpret complex healthcare datasets and derive actionable insights. - Collaborate closely with AI/ML engineers, data scientists, and product teams to acquire and process data, debug issues, and enhance ML models. - Develop and maintain enterprise-grade data pipelines to support state-of-the-art AI/ML models. - Work with diverse data types including structured, semi-structured, and textual data. - Communicate effectively and collaborate with cross-functional teams including engineering, product, and customer stakeholders. - Operate independently with minimal guidance from product managers and architects, demonstrating strong decision-making capabilities. - Embrace complex problems and deliver intelligence-driven solutions with a focus on innovation and scalability. - Quickly understand product requirements and adapt to evolving business needs and technical environments. Qualification Required: - A minimum of 5 years of overall experience in Data science or related fields. - At least 3 years of hands-on experience in Machine Learning (ML) and Natural Language Processing (NLP). - Candidates with proven expertise in healthcare data analytics and a solid understanding of healthcare systems in the US will be preferred. Role Overview: You will be joining Elevance Health as a Senior Data Scientist with strong analytical skills and a background in US Healthcare. Your role will involve demonstrating expertise in programming with a strong background in machine learning and data processing, possessing strong analytical skills to interpret complex healthcare datasets, collaborating closely with AI/ML engineers, data scientists, and product teams, and developing and maintaining enterprise-grade data pipelines to support AI/ML models. You will also be responsible for working with diverse data types, communicating effectively and collaborating with cross-functional teams, operating independently with minimal guidance, embracing complex problems, and delivering intelligence-driven solutions with a focus on innovation and scalability. Key Responsibilities: - Demonstrate expertise in programming with a strong background in machine learning and data processing. - Possess strong analytical skills to interpret complex healthcare datasets and derive actionable insights. - Collaborate closely with AI/ML engineers, data scientists, and product teams to acquire and process data, debug issues, and enhance ML models. - Develop and maintain enterprise-grade data pipelines to support state-of-the-art AI/ML models. - Work with diverse data types including structured, semi-structured, and textual data. - Communicate effectively and collaborate with cross-functional teams including engineering, product, and customer stakeholders. - Operate independently with minimal guidance from product managers and architects, demonstrating strong decision-making capabilities. - Embrace complex problems and deliver intelligence-driven solutions with a focus on innovation and scalability. - Quickly understand product requirements and adapt to evolving business needs and technical environments. Qualification Required: - A minimum of 5 years of overall experience in Data science or related fields. - At least 3 years of hands-on experience in Machine Learning (ML) and Natural Language Processing (NLP). - Candidates with proven expertise in healthcare data analytics and a solid understanding of healthcare systems in the US will be preferred.