Fellowship: Spring Data Science Fellowship Opportunity
Deadline: Early Applications due by January 30, 2020
The Data Incubator is an intensive 8 week fellowship that prepares masters students, PhD students, 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 the earlier sessions, they will be holding another fellowship.
Early Deadline: January 30, 2020
Regular Deadline: February 11, 2020
Candidates who applied for the early deadline will be assessed and interviewed first. Based upon raining availability, candidates who applied for the Regular Deadline will be reviewed on a first-come first-serve basis.
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, they will have a remote online session:
- New York City
- San Francisco Bay Area
- Washington, DC.
Dates: All sections will be from 2020-04-06 to 2020-05-29.
Application Link: https://www.thedataincubator.com/fellowship/apply.html
Data Science in 30 minutes: Learn how to build a data-science project in the upcoming free Data Science in 30-minutes webcast. Signup soon as space is limited.
Learn More: You can learn about the fellows at The New York Times, LinkedIn, Amazon, Capital One, or Palantir. To read about the latest fellow alumni, check out the Data Science blog. To learn more about The Data Incubator, check out on Venture Beat, The Next Web, or Harvard Business Review.