2027 R&D Data Science Co Op- Cleveland

Sherwin-Williams•Brecksville, OH
•$22 - $27•Onsite

About The Position

This is a 6–9 month learning experience in Global Supply Chain R&D. The Co-op will collaborate with chemists and scientists to integrate data science into R&D processes and contribute to designing better-performing paints. The role includes an assigned technical project applying data science and analytics, with a summary presented at the conclusion of the Co-op. The Co-op will also contribute to digital initiatives and data visualization projects supporting R&D functions, participate in periodic performance reviews and networking and learning events, and gain experience working in cross-functional groups alongside interns and other Co-ops. The position starts May 24, 2027, at the Sherwin-Williams Morikis Global Technology Center in Brecksville, Ohio, and is 100% on-site. No relocation assistance is provided. Hires must pass a background check before employment begins.

Requirements

  • Be currently enrolled in a bachelor's degree program or higher in a STEM field at the time of the internship.
  • Have experience with Python, SQL, and data visualization tools such as Tableau.
  • Be familiar with machine learning techniques.
  • Understand statistical modeling, data wrangling, data cleaning, and data transformation.
  • Be at least 18 years of age.
  • Be legally authorized to work in the country of employment without current or future employment visa sponsorship.
  • Be willing to work up to 40 hours per week for 6–9 months, from May through December, with or without reasonable accommodation.
  • Have a minimum 2.8 GPA.
  • Have completed at least two years of college.

Nice To Haves

  • Familiarity with Databricks.
  • Previously completed an internship or Co-op program.
  • Pursuing a bachelor's or master's degree in data science.

Responsibilities

  • Work with chemists and scientists to integrate data science into R&D and help design better paints.
  • Complete a technical project requiring the application of data science skills.
  • Present a summary of the project at the end of the Co-op.
  • Participate in periodic performance reviews.
  • Participate in networking and learning events throughout the assignment.
  • Gain experience in work groups and collaborate with interns and other Co-ops.
  • Contribute to digital initiatives and data visualization projects that support R&D functions.

Benefits

  • The company describes a range of benefits related to retirement, health care, well-being, and commuting; eligibility and specific offerings are available through its benefits website.
  • The company describes opportunities to learn, develop new skills, and grow one's contribution.
  • The company describes an inclusive team and connection to company and broader communities.
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