Data Scientist - Machine Learning Specialist (m/f)

OUTFITTERY is Europe’s largest Personal Shopping Service for men. We know that shopping isn’t a pleasure for every man, but we’re here to change that! This is why we set a clear goal: a world where men have time for the important things in life and are still well-dressed.

Are you looking for an amazing playground, where you can apply your machine learning skills? Do you want to take over responsibility in building up a data driven company? Then become part of our Data Department as a Machine Learning Specialist (m/f)!
 
The team:
The Data Science team works at the intersection of statistics, machine learning and engineering to tackle some of the most challenging and interesting problems, ranging from deep learning, multi-modal feature representation to working with unstructured text and image data.
The ideal candidate has a strong background in machine learning and is passionate about solving real-world problems. We are looking for someone who believes in implementing and testing ideas rather than talking about them; someone who loves building data products and models.  

The role:
In this role, you will closely collaborate with colleagues within the data science team to conceptualize, implement and evaluate state-of-the-art algorithmic solutions. You will be likewise responsible of conducting exploratory research and its transfer into a final product. This is an opportunity to work in a highly impactful role that will be transformative to Outfittery. The ideal candidate should be equally comfortable writing code, choosing the appropriate statistical methods, and communicating with a technical audience.

Qualifications:

  • PhD (or comparable) degree in Machine Learning, Computer Vision, Data Mining, or similar
  • Academic track record or proven applied research experience in one of the following areas: deep learning, Bayesian inference, computer vision or recommender system, natural language processing, multi-modal representation
  • Sound theoretical knowledge about machine learning and computational statistics as well as knowing best practices in their application
  • Solid software engineering skills for prototype development and the implementation of experimental setups
  • Deep skepticism of buzzword mumbo jumbo, plus the ability to identify and debunk false assumptions and analytical flaws is a strong plus.


Our offer:

  • Data, data, data
  • An highly impactful and creative role in a company with Data Science at its core
  • An amazing playground for all sorts of machine learning applications
  • A proprietary world-class A/B testing platform
  • A high level of personal responsibility and a great deal of creative freedom
  • An honest and open feedback culture and individual development opportunities


Intrigued? Then send us your application with your salary expectations and possible starting date. Your contact person is Paul Karrmann.