Data Scientists at Eastman work to provide actionable insights using advanced analytics to help the company make better and faster decisions. Data Scientists work in a centralized department organized into four groups: Applied Statistics, AI/Machine Learning, Operations Research, and Generative AI. As an intern in the Applied Statistics Group at Eastman, you will provide statistical support throughout the company, primarily working with technology and manufacturing on their top projects by providing support in experimental design and data analysis. Join our Applied Statistics Internship Program and unleash your skills to develop cutting-edge solutions that provide valuable insights to our business and corporate partners.
Responsibilities:
- Use statistical techniques such as design of experiments and statistical process control to support new product innovations and manufacturing projects.
- Assist experienced statisticians in a wide variety of data and modeling analyses.
- Develop tools and techniques that enhance the capabilities of the Applied Statistics Group
- Utilize statistical software such as JMP, Minitab, Design-Expert, Python, and R.
- Effectively communicate and collaborate with clients and other employees in a diverse set of roles from individual contributors to senior management.
Qualifications and Skills:
- Knowledge of statistical techniques such as designed experiments, multivariate analysis, statistical process control, regression analysis, time-series analysis, and machine learning.
- Experience using statistical software packages such as JMP, Design-Expert, and Minitab.
- Experience using statistical coding languages such as JSL, VBA, Python, R, and SAS.
- Ability to organize and manipulate data either prior to or after statistical analysis.
- Ability to balance several projects at a time by prioritizing and leveraging resources.
- 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 Statistics, Mathematics, Data Science, or any relevant field.
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