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Join Us in Growing Pittsburgh’s Data Science Community

By participating in WiDS Pittsburgh @CMU, your organization will support the growth of the region’s data science community, engage with top talent, and demonstrate leadership in this evolving field. Join us in shaping the future of data science in Pittsburgh and beyond.

Opportunities for Industry Engagement

Industry professionals are welcome to attend WiDS Pittsburgh @CMU at no cost. All registered attendees may participate in keynote sessions, panel discussions, and open networking opportunities throughout the day, engaging with students, faculty, and industry peers.​

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For organizations seeking deeper interaction, additional engagement opportunities are available. These structured formats are designed to support focused connection with students and visibility within the Carnegie Mellon community.

 

Resume book access is included for all sponsors.

Networking Lunch | $1,000

​Benefits

  • Small-group table, industry & student matchmaking

  • Focused conversation with Carnegie Mellon students

  • Relationship-driven dialogue

  • Access to post-event resume book

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Recognition

  • Logo on event webpage

  • Logo in event program

  • Social media feature

Spotlight Session | $1,500

​Benefits

  • 30-minute interactive discussion

  • Connection with students and event attendees

  • Access to post-event resume book

  • Limited availability

 

Recognition

  • Logo on event webpage

  • Logo in event program

  • Social media feature

  • Logo on event signage

Engagement Package| $1,500

​Benefits

  • Includes one Networking Lunch table

  • Includes one 30-minute Spotlight Session

  • Extended engagement with students and attendees throughout the day

  • Priority access to event resume book

Recognition

  • Logo on event webpage

  • Logo in event program

  • Social media feature

  • Premier logo on event signage

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Contact Me to Learn More!

Jessie Albright
Senior Associate Director of Corporate Partnerships

WiDS Pittsburgh@CMU is independently organized by Carnegie Mellon Statistics & Data Science​​

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