Responsibilities 

This position can be fully remote, in person based out of our Kingsport, TN location, or a hybrid  

Eastman is seeking an experienced Data Scientist to join the AI/ML Technology group in our centralized Data Science department.  This is an opportunity to be at the forefront of Eastman's digital transformation by leveraging data and technology to provide the critical insights needed to compete in our complex markets.  We tackle complex problems with machine learning and advanced analytics through close collaboration with business and functional partners.  We push the boundaries on digital solutions by aggressively learning and leveraging what's available. We use open-source tools alongside cloud technology to innovate quickly and deploy successfully.

Data Scientists in the AI/ML Technology group are responsible for managing the full lifecycle of a project, from scoping requirements with our internal business clients to developing and deploying models in a reliable, scalable way. We're flexible about supporting R and Python as first-class solutions and use cloud solutions in AWS and Azure to support our work. In this role you'll be expected to approach each project with an open, curious mind, ready to learn about the processes that generated the data and the processes that will consume your results. Our solutions leverage predictive modeling, forecasting, clustering, NLP, and deep learning where appropriate and you'll be expected to understand enough of how the methods work to be able to make the best modeling choices. 

• Network across businesses and functions to define and collaboratively execute on business challenges that can be solved with machine learning solutions (this could be a solution to a never-before-seen problem or enhancing an existing process)
• Explore, analyze, model, and present data using R or Python
• Develop, test, deploy, and maintain robust code and models to cloud infrastructure
• Clearly communicate where and how machine learning is being utilized to key stakeholders in the business processes
• Participate in routine code reviews to ensure all deliverables are high quality and production ready
• Understand Eastman’s data and relevant data external to Eastman as well as how to bring it to bear to maximize its utility
• Represent Data Science at Eastman and the professional Data Science community 

Qualifications 

• Practical machine learning experience, especially around predictive modeling, and NLP, that has been deployed to a production system
• Competency with statistical and mathematical underpinnings of machine learning to understand the appropriate techniques to apply to a given problem and then to be able to evaluate the usefulness of the results of those techniques
• Experience with programming in a Linux/Unix server environment preferably using R or Python and collaborating via git
• Demonstrated understanding of business operations is needed so you can ask the right questions and deliver the right results in a way that is understandable and useable to your clients
• Excellent verbal and written communication skills
• A track record of digging into the tough problems, attacking them from different angles, and bringing innovative approaches to bear is highly desirable. Must be capable of self-teaching new techniques and concepts