We are Covestro. We are curious. We are courageous. We are colorful. We refine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18,000 colleagues now and together we will make the world a brighter place.  

Covestro is a world-leading supplier of high-tech polymer materials. Our Shanghai site represents one of our largest global production facilities, with the Supply Chain and Logistics Center of Excellence playing a crucial role in maintaining efficient operations across the Asia Pacific region.

WHAT WE OFFER

We are seeking a motivated Supply Chain Data Full Stack Developer Co-op to join our Supply Chain and Logistics Digital and AI Team in Pittsburgh. This role will support business analytics and process improvement projects by collecting, validating, and cleaning data, as well as coding for project development, while assisting with project administration and documentation. 

This role offers hands-on experience within a global supply chain organization, combined with exposure to advanced analytics projects in an international setting. You'll benefit from mentorship by experienced supply chain professionals while contributing to meaningful projects that deliver real business impact — all with direct insight into Covestro's digital transformation initiatives in supply chain.

An Ideal candidate would be a motivated and eager to learn student looking for a collaborative work environment to gain experience. Planned start dates would in either the Spring or Summer of 2027 depending on availability.  This role is designed to be three total rotations and end of semester reviews may lead to future return offers for more co-op rotations if both the student and Covestro feel it is a good fit. 

Key Responsibilities:

·         Assist in business analytics projects focusing on supply chain optimization

·         Collect, validate, and clean data from various sources

·         Help prepare project documentation, user requirement documents, and user manuals

·         Collaborate with cross-functional teams to gather and analyze supply chain data

·         Support senior developers with the development, deployment and maintenance of full stack tools built for the various supply chain groups

·         Develop scripts for automations and optimization models

·         Contribute to process improvement initiatives within the SC&L DAI Team

WHAT YOU OFFER

Basic Qualifications:

·         Currently enrolled in undergraduate studies and completion of freshman year (at time of start date)

·         Pursuing a degree in Data Science, Computer Science, Information Systems, Software Engineering, Computer Engineering or Electrical Engineering

Preferred Qualifications:

·         Completion of sophomore year (at time of start date)

·         Experience working with Python or Typescript

·         Pursuing a minor or certificate in business or supply chain related fields

·         Familiarity with agentic coding tools

·         Exposure to Amazon Web Services (AWS) or other similar cloud computing platforms

Knowledge and Skills:

·         Strong analytical skills and attention to detail

·         Proficiency in data analysis tools and Microsoft Office suite

·         Good communication skills in English

·         Ability to work in a team environment

·         Interest in supply chain operations and logistics

YOUR APPLICATION

Are you as curious, courageous and colorful as we are? If so, we can offer you an exciting career opportunity. We look forward to receiving your application and resume. Become part of our team - apply now!

Equal Employment Opportunity: Hiring and advancement are based on job-related requirements and on an individual's qualifications to perform a job. All aspects of employment are carried out free of discrimination or harassment based on race, color, religion, sex (including pregnancy), national origin, age, disabilities, genetic information, veteran status, sexual orientation, gender identity/gender expression or any unlawful criterion, existing under applicable federal, state, or local law.

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