data scientist


about the role

First and foremost, you don’t have to call yourself a Data Scientist. Do you prefer Artificial Intelligence Boss? Head of Avocado Toasts? Happy Hour Manager? Director of Emotional Intelligence? You name it. If you can back it up, we’ll agree. We call this the absolute work title freedom. And we’re proud of it. What you do need to do is to help us build a killer business.

This means creating machines that automate, improve or replace old-fashion processes. It also means working with a team of scientists and engineers who are as passionate about the future of commerce and artificial intelligence as we are. And it also means being an equity-holder, a doer, a risk-taker, a leader and an example to others.


about you

Look, we’re not looking for Superman; we’re looking for Deadpool. Superman is great at everything; Deadpool is good enough, at enough things, to change the world. Wonder Woman is even cooler than Deadpool. We heard she was an Applied Scientist before discovering her superpowers. The point is: we want you to help us save the world, one neural network at a time. This is what we think you’ll need:

  • PhD or Masters in a computational, numerical or algorithmic subject
  • Experience with deep learning architectures and recurring neural networks (a must!)
  • Understanding of Natural Language Processing and Neural Machine Translation
  • Familiarity with a deep learning framework like Keras, TensorFlow, Pytorch
  • Coding skills in a language suitable for data science, like Python
  • People skills, especially if you’re going for a super title
  • Ability to communicate technical information to non-technical audiences
  • Creativity in problem solving
  • Openness to help teammates grow and achieve their goals


  • Absolute work title freedom
  • Personal growth Fridays
  • Massage therapy sessions
  • Group guided meditations
  • Team building trips
  • Global AI events and conferences
  • Coffee, tea, fruit and snacks
  • Unlimited vacation days
  • Competitive compensation

let's do this.