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Spring Data Science Fellowship Opportunity

Created: January 3, 2019

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 earlier sessions, the Data Incubator 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, there will be a remote online session:

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

Dates: All sections will be from April 1, 2019 to May 24, 2019.

Application Link: Click here to apply. 

Early Deadline: January 14, 2019
Regular Deadline: January 21, 2019
The Data Incubator will assess and interview candidates who apply for the Early Deadline first. Based on remaining availability, they will then take candidates who applied for the Regular Deadline on a first come, first served basis.

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

Learn More: You can learn about their fellows at The New York Times, LinkedIn, Amazon, Capital One, and Palantir. To read about their latest fellow alumni, check out their blog. To learn more about The Data Incubator, check them out on Venture Beat, The Next Web, and Harvard Business Review.

Postdoc News, Science, Technology, Engineering, and Math, Social Sciences, Fellowships