R&D Data Science Co-op

This position is a comprehensive 6-9 month learning experience in Global Supply Chain R&D. The individual will collaborate closely with Chemists and Scientists to integrate data science into R&D processes, contributing to the design of better-performing paints. The individual will be assigned Technical Projects that require the application of data science and data analytics skills. A summary of projects will be presented at the conclusion of the internship. In addition to core data science work, interns will also contribute to digital initiatives and data visualization projects that support R&D functions. Throughout the assignment, the intern will participate in periodic performance reviews, engage in special networking and learning events, and gain experience working in cross-functional teams and alongside other Interns and Co-ops. This opportunity is designed to provide firsthand experience in a dynamic, innovation-driven environment. This position will start May 24, 2027 at the new Sherwin-Williams Morikis Global Technology Center in Brecksville, Ohio. This position is 100% on-site. There will be no relocation assistance. All hires must go through a background check before the start of employment. ## Responsibilities - Work with Chemists and Scientists to integrate data science into R&D to help design better paints. - Complete a Technical Project requiring the use of data science skills. - Present a summary of the project at the end of the Co-Op. - Participate in periodic reviews to evaluate performance. - Participate in special networking and learning events throughout the assignment. - Gain experience in work groups and work alongside other Interns and Co-ops. ## Qualifications Minimum Requirements - Currently enrolled in a Bachelor's Degree program or higher in Science, Technology, Engineering or Mathematics (STEM) at the time of the internship program. - Experience in Python, SQL, and data visualization tools (Tableau). - Familiarity with machine learning techniques. - Understanding of statistical modeling, data wrangling, data cleaning and data transformation. - At least eighteen (18) years of age. - Legally authorized to work in the country of employment without needing sponsorship for employment work visa status now or in the future. - Willing to work up to 40 hours per week for a total of 6-9 months, from May-December, with or without reasonable accommodation. - Minimum of 2.8 GPA. - Completed a minimum of two years of college.Preferred Qualifications - Familiarity with Databricks. - Previously completed an internship or co-op program. - Pursuing a bachelor's in data science or master's degree in data science.Job duties include contact with other employees and access to confidential and proprietary information and/or other items of value. The Company has determined that a review of criminal history is necessary to protect the business, its operations and reputation, and the safety of the Company's staff, employees, and business relationships.