Advanced Data Scientist - Machine Learning

Founded in 1920, Eastman is a global specialty materials company that produces a broad range of products found in items people use every day. With the purpose of enhancing the quality of life in a material way, Eastman works with customers to deliver innovative products and solutions while maintaining a commitment to safety and sustainability. The company’s innovation-driven growth model takes advantage of world-class technology platforms, deep customer engagement, and differentiated application development to grow its leading positions in attractive end markets such as transportation, building and construction, and consumables. As a globally inclusive company, Eastman employs approximately 13,000 people around the world and serves customers in more than 100 countries. The company had 2025 revenue of approximately $8.8 billion and is headquartered in Kingsport, Tennessee, USA. For more information, visit  www.eastman.com . Role Description Data Scientists at Eastman provide actionable insights using advanced analytics to help the company make better and faster decisions. Our centralized Data & Analytics department is organized into specialized groups including Applied Statistics, AI/Machine Learning, Operations Research, and Generative AI. As an Advanced Data Scientist in the AI/ML team at Eastman, you will develop, implement, and operationalize predictive and prescriptive models using traditional machine learning and computer vision techniques to address business needs and deliver measurable value across diverse functions. You will collaborate with cross-functional teams across manufacturing, technology, commercial, and business operations, translating complex challenges into practical and scalable machine learning solutions. This role will contribute to the continued growth of our data science capabilities in Hyderabad by applying technical expertise, sharing knowledge with team members, and following established engineering and analytical best practices. You will support the design, development, and adoption of new analytical capabilities, contribute to the evolution of machine learning solutions, and partner with stakeholders across the company to help deliver reliable, production-ready models. Key Responsibilities Design, develop, and deploy machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems Network across manufacturing, R&D, commercial, and business functions to identify and collaboratively execute on high-impact challenges solvable through machine learning techniques Build production-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring Develop and maintain scalable, modular, well-documented code following MLOps best practices including version control, logging and metadata standards, and CI/CD principles Participate…