Supply Chain Data & Full-Stack Dev Co-op

Covestro AG; Pittsburgh (Allegheny County); On-site; USD 20,000 - 29,000; Part time

Job summary

Covestro is seeking a motivated Supply Chain Data Full Stack Developer Co-op in Pittsburgh to support analytics, data collection, and documentation within the global SC&L DAI team. The role offers mentorship, hands-on experience, and exposure to Covestro's digital transformation initiatives in supply chain.

The ideal candidate is an undergraduate student in data science or engineering fields, with Python or Typescript experience and an interest in cloud platforms like AWS.

Qualifications

• Currently enrolled as an undergraduate student (freshman year completed).
• Pursuing a degree in Data Science, Computer Science, Information Systems, Software Engineering, Computer Engineering or Electrical Engineering.

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.

Skills

Analytical mindset

Attention to detail

English communication

Teamwork

Education

Undergraduate student (freshman year completed)

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

Tools

Python

Typescript

AWS

Job description

Covestro is seeking a motivated Supply Chain Data Full Stack Developer Co-op in Pittsburgh to support analytics, data collection, and documentation within the global SC&L DAI team. The role offers mentorship, hands-on experience, and exposure to Covestro's digital transformation initiatives in supply chain.

The ideal candidate is an undergraduate student in data science or engineering fields, with Python or Typescript experience and an interest in cloud platforms like AWS.