Frequently asked questions
WHAT IS THE ADDED VALUE OF THE FELLOWSHIP?
Under the mentorship of Pagaya’s leading data scientists, you’ll gain practical hands-on experience that you simply can’t find in the classroom. Fellows will work on real-world problems, learning both theory and application of some of the industry’s most cutting-edge technologies. Because we only accept top-tier applicants into the Fellowship following a rigorous selection process, you’ll be learning alongside the best of the best. That allows us to really push the envelope in terms of the level of challenges you and your colleagues will face during the fellowship as you develop real solutions to real technology problems. Following successful completion of the fellowship, well-suited graduates will have the opportunity to join Pagaya’s team as data scientists.
WHAT IS THE EXPERIENCE AND BACKGROUND OF THE MENTORS?
All mentorship will come from highly experienced data scientists from Pagaya’s own research department, which is one of the best and largest in the country. All possess advanced degrees in exact sciences, but more importantly have deep knowledge and understanding of the subject matter you’ll be working with.
WHAT KNOWLEDGE WILL I GAIN WHEN THE PROGRAM ENDS?
Upon successfully completing the program, you will possess significantly increased industry-relevant knowledge in machine learning and statistics. Just as importantly, you will gain valuable experience handling complex research problems and managing them end-to-end, from initial data processing through to constructing a full, working apparatus capable of making impactful business predictions.
WILL I HAVE THE TOOLS TO WORK AS A DATA SCIENTIST AFTER GRADUATING THE FELLOWSHIP?
Yes! The fellowship will provide you with all the fundamental knowledge necessary for a career as data scientist while also arming you with crucial tools and techniques that will distinguish you within your field. Through hands-on research and product development, you won’t merely gain education but also real-world experience.
IS IT A THEORETICAL OR A PRACTICAL fellowship?
The fellowship aims to strike a balance between theoretical and practical application, but will be weighted toward application-oriented learning. We believe that a strong data scientist is one who fundamentally understands the methods she applies, and we will invest a good portion of the fellowship in discussing and understanding the theoretical side of data science. However, the theoretical aspect of the fellowship will be coupled with a series of projects, guided by mentors, that will allow you to apply the theoretical through hands-on experience. Moreover, a large portion of the fellowship is dedicated to the end-to-end implementation of your own final project, from setting up your git repository through data processing and up to making predictions and validating your final product. Time spent on the theoretical will be matched by time spent putting the theoretical to work in a real-world context.
WHO ARE THE FELLOWSHIP MEMBERS?
Your colleagues within the fellowship will come from the top of their classes at the best universities in the country. Our rigorous selection process ensures the fellowship consists of members passionate about machine learning, data science, and artificial intelligence applications but who do not yet have the suitable experience to begin their careers.
FLEXIBILITY AND HOURS?
The fellowship runs daily, Sunday to Thursday from 9:30 a.m. to 6:30 p.m. at Pagaya’s office in the Azrieli Sarona Tower in Tel Aviv. Beyond those hours you will be more than welcome to stay late to further explore the subject matter, learn from your mentors, or simply hang out with Pagaya’s employees.
WHICH ADDED EQUIPMENT IS REQUIRED FOR THE FELLOWSHIP?
Nothing at all. We take care of everything necessary to provide you with a fully functional workstation, including your own dedicated, fully-equipped MacBook and access to Amazon’s cloud computing services.
WHAT SHOULD I KNOW IN ADVANCE FOR THE FELLOWSHIP?
Participants should have basic knowledge in coding. Familiarity with Python and its scientific packages (e.g. Numpy and Pandas) is an advantage. Additional knowledge in machine learning and deep learning will prove useful as well, and can be gained via a variety of free online courses available through Coursera or Youtube.
IN WHAT LANGUAGE IS THE FELLOWSHIP HELD? WILL I BE ABLE TO JOIN THE FELLOWSHIP IF I ONLY SPEAK ENGLISH?
All of the program’s written material are provided in English, but lectures will be given in Hebrew. Currently, the program is not suitable for non-Hebrew speakers.
ON WHAT PROJECTS WILL I WORK AS A DATA SCIENTIST AT PAGAYA?
Pagaya is one of the world’s leading FinTech companies with a $4.5 billion annual cycle. We use smart, AI-based models to make informed predictions in various fields related to capital management, such as loans, real estate, and insurance. As such, we take our research very seriously, and our research department is at the very center of our business and operational decisions. Data scientists at Pagaya handle a wide variety of subjects, ranging from primary data collection and analysis to model development and enhancement to validation and review of our end products. Researchers work at a fast pace and in constant coordination with our operations and business teams to provide solutions wherever they are needed. Pagaya provides data scientists with an exciting opportunity to work with one of the country’s largest research departments and make significant impact at one of the world’s leading FinTech companies.