Corporate Partners at The Data Mine

The Data Mine welcomes corporate partners to join us advancing data science through collaboration, education and research. We strive to build a welcoming environment to execute our mission – Data Science for All. Our Corporate Partners are a vital part of this.

There isn’t any perfect way to define a data science project for The Data Mine. A project with The Data Mine should be designed to challenge the students and help them learn – it is all about their building experience with analytics, familiarity with your company and ways of working.

The best Data Mine projects have these two elements:

  • Data intensive project: We seek projects with large data sets (an Excel spreadsheet doesn’t count).
  • Committed mentoring: It is important to have a corporate employee who can meet and mentor the students. Ideally, they know the data students will be working with and are invested in student development.

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Logo of Beck's Hybrid

Beck’s Hybrids

Logo of Blue Wave AI Labs

Blue Wave AI

Boeing

Logo of CAS, a division of the American Chemical Society

CAS

Logo of Caterpillar

Caterpillar

Logo of CCSE, center for CSPAN scholarship and engagement

CCSE

Logo of CDC, centers for disease control and prevention

CDC PROTECT

Celito

Logo of Central Insurance

Central Insurance

Chicago Cubs Baseball Analytics

Logo of CISCO

Cisco

Logo of CLA

CLA (CliftonLarsonAllen)

Concrete Engine

Logo of Cook Medical

Cook Medical

Logo of Corteva agriscience

Corteva

Cross America


Corporate Partner Benefits

  • Talent Access: Students describe their experience in The Data Mine like having an internship during the school year. Work with highly motivated students from diverse backgrounds as a training ground to recruit for internships and full time employment opportunities.
  • Build Company Recognition: The competition for data-minded talent is fierce. Set yourself apart from the big tech companies and build positive working relationships with students outside of the typically recruitment strategies.
  • Test Proof-of-Concept Projects: Experiment ideas with innovative students and see what they can create before putting tremendous internal company resources toward the data science project.
  • Completing Value Add Projects: Think about projects that haven’t made the priority list… in The Data Mine we say ‘stuck in the backlog’. What are those back-burner projects that are known to add value and could benefit from more resources like time and talent?


See how this unique program has helped Beck’s Hybrids