Location: New York
  Remote: Yes
  Willing to relocate: No
  Technologies: Python, PyTorch, PyData (Pandas, sklearn, etc.), Tensorflow, Docker, GitHub, SQL
  Résumé/CV: https://docs.google.com/document/d/1ub1OP5yMZV_UnJUniSSubk5HRWvkBdyPdPEGvHaZmEQ/edit?usp=sharing
  Email: theodorelong98@gmail.com

Data Scientist and early-career ML researcher looking to work on interesting and novel applications of ML. I have previous experience working as a Data Scientist at a NYC hedge fund and am familiar with the full data stack - acquiring, cleaning, analyzing, modeling and putting into production. I've just finished my Masters at the University of Cambridge, focused on ML and computational statistics. During my time there I published a paper: https://openreview.net/forum?id=cFtt9fU7YB6, and worked on a 9 month research project on probabilistic models for Riemannian manifolds for my thesis. I'm a quick learner, but am used to operating in fast-paced, pragmatic environments and getting results. I enjoy working on interesting open-ended problems in pretty much any setting!