2025 Data Science Internship, AI/Machine Learning
Eastman is offering a summer internships in AI / Machine Learning for 2025! This internship provides a unique chance to work on cutting-edge projects, develop innovative solutions, and contribute to impactful projects in the field of data science. This is an incredible opportunity for students to gain valuable experience and take their career in data science to new heights. We encourage them not to miss out on this chance to make a difference in the world of data science.
Link to Apply: https://career4.successfactors.com/sfcareer/jobreqcareerpvt?jobId=52353&company=eastmanprd&st=C772EB7440871F2393710EBDA8B9835F4062B026
2025 Data Science Internship, AI/ Machine Learning
Responsibilities
• Apply real-time descriptive, predictive, and prescriptive modeling to enable business decisions and deliver valuable insights using statistical and machine learning methods.
• Critically evaluate customer requirements, explore and understand data, and create and deploy solutions to meet those requirements.
• Utilize programming skills and version control to develop scalable solutions, database languages and transformation libraries to extract and transform data, and tools to deploy solutions.
• Effectively communicate and collaborate with clients and other employees in a diverse set of roles from individual contributors to senior management.
Qualifications
• Strong foundation in one or more areas of data science modeling: classification, regression, time series analysis, clustering, and natural language processing.
• Proficient in a modern programming language, preferably Python or R.
• Experience in data cleaning and transformation. Experience interfacing with relational databases, NoSQL, or graph databases is a plus.
• Experience creating user interfaces is a plus, specifically with R Shiny, Python Streamlit or Python Dash, and Power BI.
• Ability to manage complex projects and methodically work towards rigorous solutions.
• Critically evaluate customer requirements and deploy solutions to meet specific needs.
Required Education: Pursuing or enrolled in an M.S. or Ph.D. in the United States in a quantitative field such as Computer Science, Data Science, Business Analytics, Mathematics, or any other relevant field including engineering.
Location: Kingsport, TN (in-person/hybrid)