Computer Science and Data Science Co-op

4 weeks ago


Midland, Michigan, United States Dow Full time
Job Title: Computer Science and Data Science Co-op

We are seeking a highly motivated and detail-oriented student to join our team as a co-op in computer science and data science. As a co-op, you will have the opportunity to work on real-world projects, collaborate with experienced professionals, and develop your skills in computer science and data science.

Job Summary

The Environmental Technology Center at Dow is seeking a student with a strong passion for advancing science and delivering innovation through computer science and data science. The ideal candidate will be enthusiastic, have high initiative, and take pride in contributing to team success by accomplishing quality work in a safe and efficient manner.

Key Responsibilities
  • Develop and implement data-driven solutions to improve manufacturing and engineering processes
  • Collaborate with cross-functional teams to design and implement data visualization dashboards
  • Perform data engineering tasks, including data extraction, wrangling, cleaning, and transformation
  • Develop and maintain databases and ensure data quality and integrity
  • Work with subject matter experts to provide digital solution support
Requirements
  • Currently enrolled in a fully accredited college or university located close to the Midland or Houston Dow site
  • Completed at least 1 year of curriculum towards an undergraduate degree in computer science or data science
  • Proficiency in one or more programming languages, such as Python, R, or Visual Basic
  • Strong analytical and problem-solving skills
  • Ability to work independently and collaboratively as part of a team
What We Offer

As a co-op at Dow, you will have the opportunity to work on real-world projects, develop your skills, and gain valuable work experience. You will also have access to our state-of-the-art facilities, cutting-edge technology, and a collaborative and inclusive work environment.

We are an equal opportunities employer and are committed to providing opportunities without regard for race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, national origin, age, disability, and genetic information.



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