The program is 3 months on a full-time basis. We do not currently offer a part-time option.
The program is free to the fellows.
Yes, the program is 100% remote. We encourage fellows living in major metropolitan areas to meet in-person at least once a week.
The majority of the time is spent pair programming. We pair up a fellow more proficient in quantitative skills with a fellow more proficient in software development. The project team typically consists of two fellows working under supervision of a mentor. We have daily scrums, and we are very diligent about it. We have internal Slack channels, shared GitHub repos and Trello boards. We have a weekly retrospective and iteration planning.
Some of our clients are - Vodafone, Levis, Onfido, E&Y, Change Healthcare.
To complete the Challenge Problem, follow these steps:1. Once you log in, select a problem from the list provided.2. Conduct your analysis using a well-commented Jupyter notebook. Ensure your code is clear and well-documented to demonstrate your analytical approach.3. Upload your completed notebook to GitHub or Google Colab.4. Share the link to your notebook with us by submitting it through the designated platform or email.
Your video recording should include the following elements:1. Introduction: Provide a brief introduction about yourself, focusing on your background, skills, and your passion for machine learning.2. Motivation: Explain why you are interested in participating in this program. What drives you to pursue this opportunity?3. Technical Knowledge: Discuss your conceptual understanding of machine learning and data science. Describe the problem you chose for the Challenge Problem, detail your approach, and explain the solution you implemented. This will help demonstrate your technical proficiency and problem-solving skills in a real-world context.
