Data Scientist (Recommender Systems, Python, Machine Learning)

Data Scientist (Recommender Systems, Python, Machine Learning)

  • Location

    Boston, Massachusetts

  • Sector:

    Machine Learning & AI

  • Job type:


  • Salary:

    shares, paid vacation, healthcare

  • Contact:

    Mat Ferdenzi

  • Email:


  • Job ref:


  • Published:

    2 months ago

  • Expiry date:


  • Startdate:


  • Consultant:


Data Scientist (Recommender Systems, Python, Machine Learning)

We are an ambitious Machine Learning startup that spun out from MIT in 2017 - seeking a Data Scientist (Recommender Systems, Python, Machine Learning) to join our team at a pivotal time in our business. Recently, we have secured seven million dollars in funding - which is allowing us to scale our highly talented pre-existing team (MIT, Harvard, Cornell) further.

Our vision is to bring our advanced Machine Learning Routing platform, which is orientated around a human-first experience within personalised trip planning and decision making, to businesses worldwide. Essentially our platform could answer very simple problems within transport and logistics; affecting sectors such as Healthcare, Commerce, Hospitality and Education.

Overall, we believe that we have state of the art optimization and AI-based prediction research - you could be a part of shaping a platform which has the potential to revolutionise how companies are connected with their consumer-base.

Ideally, a candidate will come from recently completing a PhD. If not, we would also be happy with a candidate from a Masters background with some relevant commercial experience.

What we can offer a Data Scientist

  • To be part of a very talented team on a truly commercially-focussed product.
  • A chance to develop a platform which will be utilized at scale worldwide.
  • A chance to work with advanced ML Algorithms.
  • An opportunity to delve further into recommender systems and urban traffic simulations

Key Skills: Data Scientist, Python, Machine Learning, AWS, Data Science, Recommender Systems, User Preference Models, Simulations, Urban Traffic Simulations, AI.