Data Science Fellowship opportunity for graduate students and postdocs

A variety of innovative companies partner with The Data Incubator for hiring and training needs, including LinkedIn, Genentech, Capital One, Pfizer, and many others.
A variety of innovative companies partner with The Data Incubator for hiring and training needs, including LinkedIn, Genentech, Capital One, Pfizer, and many others.

Graduate students and postdocs are encouraged to apply for the the Data Science Fellowship at The Data Incubator, a Cornell-funded data science training organization. A variety of innovative companies partner with The Data Incubator for hiring and training needs, including LinkedIn, Genentech, Capital One, Pfizer, and many others. The program is free for admitted Fellows.

Program: The Data Incubator is an intensive 8 week fellowship that prepares masters students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. In response to the overwhelming interest in our earlier sessions, we will be holding another fellowship.

Who Should Apply: Anyone who has already obtained a masters or PhD degree or who is within one year of graduating with a masters or PhD is welcome to apply. Applications from international students are welcome. Everyone else is encouraged to sign-up for a future session.

Locations: In addition to the below in-person locations, we will have a remote online session:

  • New York City
  • San Francisco Bay Area
  • Boston
  • Washington, DC.

Dates: All sections will be from January 13, 2020 to March 6, 2020.
Apply to the fellowship here.

Early Deadline: October 14, 2019
Regular Deadline: October 21, 2019

Candidates who apply for the Early Deadline are assessed and interviewed first and then based on remaining availability, The Data Incubator will take candidates who applied for the Regular Deadline on a first-come first-serve basis.

Data Science in 30 minutes: Learn how to build a data-science project in our upcoming free Data Science in 30-minutes webcast. Sign up soon as space is limited.