Reply is the place to meet an incredible variety of enthusiastic, passionate, ideas-driven people, who want to make a difference and an impact.Would you like to know more?
The demand for data scientists is growing exponentially [1, 2], furthermore a study by Interxion pointed out, that 78 percent of all German companies are going to deal with Big Data related Topics during the next three years .
 "Big Data Needs Data Scientists or Quants" (Forbes Magazine, 2012)
 "What Are The Odds That Stats Would Be This Popular?" (New York Times, 2012)
 "Big Data genießt zunehmend Priorität" (it-zoom.de, 2013)
We consider any of the following applicants:
The program is geared towards helping participants find a job in the private sector and we are looking for candidates who want to start working after completing the fellowship. If you are interested, we encourage you to
There are four main components to the program:
The program builds on your scientific training and provides you the skills needed to quickly have large industry impact. While an advanced degree is excellent preparation, our experience has shown that academic researchers often lack a few key skills. The curriculum includes:
Succeeding in industry is as much about soft-skills as technical ones. We cover some of the basics:
The program is in partnership with the Fellows and while we provide our Fellows with a lot, a few things are expected in return:
We welcome applications from anyone who has already obtained, or is within 6 months of obtaining, their master's or PhD degree in any field. If you are interested, we encourage you to
Absolutely! People with industry experience are often some of our strongest candidates. Please
sign up here for
We are looking for people with strong scientific training who are able to work with data programmatically and can make valid real-world inferences based on data. Applicants usually have a strong background in probability, statistics, and experience with programming, scripting, or statistical packages. If you are interested, we encourage you to
Interested in the fellowship but want to brush up your skills before applying? Read through this
blog post to learn about some of the most important foundational skills for data science and to access resources to help you develop them.
The tuition fee is paid for by hiring employers. In-person Fellows are responsible for their own room and board during the fellowship. Fellows need to pay the costs for their stay, food and a laptop by themselves. Any laptop no older than 4-5 years is ok. Linux and Mac are recommendable, but Windows is ok too.
In addition to the Fellow program, we are also offering a paid Scholar program. Because we can only take a smaller number of Fellows than applicants who are truly qualified, we also allow strong applicants to participate as Scholars. The
application for the program in