2027 R&D Data Science Co Op- Cleveland

The Sherwin-Williams Company; Brecksville (OH); On-site; USD 25,000 - 33,000; Full time

Job summary

The Sherwin-Williams Company in Brecksville, OH offers a 6-9 month learning experience in Global Supply Chain R&D. The internship collaborates with chemists and scientists to apply data science to paint design and process improvement, with a focus on data analytics and visualization.

Interns will work on technical projects, participate in periodic reviews and cross-functional teams, and present a project summary at the end.

Qualifications

• Enrolled in Bachelor's degree or higher in STEM at internship start.
• Experience in Python, SQL, and Tableau.
• Familiarity with machine learning techniques.
• Understanding of statistical modeling, data wrangling, data cleaning and data transformation.
• Eligible to work in the United States without sponsorship.
• Willing to commit up to 40 hours/week for 6–9 months (May–December).
• Minimum GPA 2.8; at least two years of college completed.

Skills

Python

SQL

Data Visualization (Tableau)

Machine Learning Techniques

Statistical Modeling

Data Wrangling

Education

Bachelor's Degree or higher in STEM

Tools

Databricks

Job description

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 fore 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.

• The individual will be working with Chemists and Scientists to integrate data science into R&D to help design better paints.
• The individual will be given a Technical Project requiring the use of data science skills.
• A summary of this project will be present at the end of their Co-Op.
• Students will have periodic reviews to evaluate their performance.
• Students will participate in a number of special networking and learning events throughout their assignment.
• This opportunity will allow students to gain experience in work groups, as well as working with other Interns and Co-ops

Minimum Requirements

• Must be 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, Data Visualization Tools (Tableau)
• Familiarity with Machine Learning Techniques
• Understanding of statistical modeling, data wrangling, data cleaning and data transformation
• Must be at least eighteen (18) years of age
• Must be legally authorized to work in the country of employment without needing sponsorship for employment work visa status now or in the future
• Must be willing to work up to 40 hours per week for a total 6-9 months, from May-December, with or without reasonable accommodation
• Minimum of 2.8 GPA
• Must have 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 confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company's staff, employees, and business relationships.