Deadline: January 15, 2018 (Early) and January 22, 2018 (Regular)
Applications are now open for the Data Incubator – 2018 Data Science Fellowship. The Data Incubator is a Cornell-funded data science training organization that runs a free advanced 8-week fellowship (think data science bootcamp) for PhDs looking to enter industry. A variety of innovative companies partner with The Data Incubator for their hiring and training needs, including LinkedIn, Genentech, Capital One, Pfizer, and many others. The program is free for admitted Fellows,
Applications are accepted from anyone who has already obtained, or is within 1 year of obtaining, their master’s or PhD degree in any field. Fellows have the option to participate in the program either in person in New York, San Francisco Bay Area, Seattle New, Boston New, Washington DC, or online.
There are four main components to the program:
- Bootcamp modules. Short modules covering both the technical and non-technical skills necessary to succeed in industry.
- Seminars with mentor data scientists. Unlike academic research seminars, we promise these will actually make sense. Hear from the top data scientists in the world about what data science is like for them.
- Build a series of mini projects to showcase your programming and mathematical talents. Hone your skills on a 100 node cluster and get hands-on experience applying the tools employers value to real-world datasets.
- Interview with amazing employers. Meet employers looking for top applicants.
Benefits
- Leverage your degree as a data scientist: Training that links your analytical skills to job opportunities.
- Free tuition for Fellows: Employer-paid Scholars keep the program free for admitted Fellows.
- Mentorship from industry leaders: Learn from alumni and senior data scientists, and build your professional network.
- Jumpstart your data scientist job search: Opportunities at top innovators in tech, healthcare, and finance with typical base pay ranging from $100K – $125K and as high as $150K.
- Smart, passionate Fellows: Make the transition from academia with a selective peer group excited to learn and collaborate.
- Build a series of miniprojects: Gain hands-on experience applying the tools employers value to real-world datasets. All powered by a 100-node cluster.
Responsibilities of Fellows
The program is in partnership with the Fellows and while we provide our Fellows with a lot, a few things are expected in return:
- Make a commitment to be a part of the program. For the in-person program, this means moving to New York, San Francisco Bay Area, Seattle, Boston, or Washington DC, for the duration of the entire program and being there every day during the workweek, interacting with the other Fellows, and working on your portfolio project. You should really think of this as a sort of internship. For the online program, this means setting aside enough time to participate remotely. It is difficult to do so while working full-time.
- Make a commitment to work as a data scientist in industry shortly after completing the program. We ask that you interview with our hiring companies immediately after the program. If there’s another company that you would like to interview with, just notify us in advance so that we have a chance to work with them as a hiring company. Most employers would prefer you start within 2-3 months of an offer.
- Decline to work with external recruiters while in the program. We provide training to Fellows for free and compete with external recruiters who charge for just making a placement without providing any training. Working with them prevents us from investing in curriculum and improving the program for future Fellows.
Eligibility
They consider any of the following applicants:
- Anyone who already has a master’s degree or PhD. You do not need to currently be a student in order to apply as long as you already have a master’s or PhD. Faculty and postdocs are also welcome.
- Anyone who is in the process of earning a master’s or PhD and only has one year left of their degree program.
- International students for the program are encouraged to apply
- People with industry experience are often some of their strongest candidates.
The program is geared towards helping participants find a job in the private sector and we are looking for candidates who want to start within 12 months of completing the fellowship.
Requirements
The program is in partnership with the Fellows and while they provide Fellows with a lot, a few things are expected in return:
- Make a commitment to be a part of the program.
- Make a commitment to work as a data scientist in industry shortly after completing the program.
- Decline to work with external recruiters while in the program.
Application
- The next session will run from 2018-03-26 to 2018-05-18.
- If you are interested read the FAQs
- Apply for the session here.
For more information, visit Data Science Fellowship.
