Lead Data Scientist, Private Client

US New York

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Farfetch
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Posted 1 week ago

Farfetch exists for the love of fashion. We believe in empowering individuality. Our mission is to be the global technology platform for luxury fashion, connecting creators, curators and consumers.
TechnologyWe’re on a mission to build the technology that powers the global platform for luxury fashion. We operate a modular end-to-end technology platform purpose-built to connect the luxury fashion ecosystem worldwide, addressing complex challenges and enjoying it. We’re empowered to break traditions and disrupt, with the freedom and autonomy to make a real impact for our customers all over the world.
New YorkOur New York office is located in Midtown near the iconic Bryant Park and the historic Grand Central Terminal, New York's best connected office neighbourhood. The beautifully designed office has 360 views and tall windows to bring the outside in. We have a communal kitchen that brings the whole team together for Family Lunch and Happy Hours. The office is open plan with plenty of rooms and booths to take a private call, have time to relax and work in private or have a large collaborative meeting.
The Role:
Currently a team of 7 in our New York office, we’re looking to grow to up to 12 people and build our first Tech Hub in the United States. This is a really exciting time to join the business, with our recent acquisition of Stadium Goods and our IPO back in 2018, you’ll have the chance to be a part of a brand new function and work exclusively on large scale, high-impact projects.
Our work in Data Science is directed at building software solutions that empower our Private Client team of Personal Stylists working with our top customers, by using Machine Learning and advanced statistical methods. This means understanding the customer, figuring out who they are, what they want, and how to get their attention. Critically, we build systems that do this autonomously. We are looking for a true Data Science expert, someone who wants to stay with us for the long term and grow within a small team. 

What You'll Do

  • Work with large, complex datasets, solve hard problems using advanced statistical and Machine Learning techniques.
  • Prototype and productionize Machine Learning pipelines to provide a solution to large commercial impact problems, that keep Farfetch ahead of the competition.
  • Collaborate with other Scientists and Engineers to build efficient data products. Identify opportunities for, design, and assess improvements to Farfetch products.
  • Research and develop forecasting and recommendation systems to improve the quality of our Private Client Personal Styling service; including ranking, behavioral modeling, and live experiments.
  • You will work closely with the Private Client Stylists across the Middle East, Europe & US to understand their technical needs
  • You will lead and manage two Data Scientists, aiding their growth and developing them to the next level
  • You will act as an ambassador for the Farfetch Data team, supporting with recruitment efforts and promoting our Brilliant working environment

Who You Are

  • You have at least 6 years of experience in an advanced Engineering and Data Science role. At least 2 years of experience in managing a Data Science or Engineering team.
  • You are a strong team leader and enjoy empowering & motivating others
  • You have extensive experience building Machine Learning and Deep Learning models on large datasets.
  • You are fluent in Python or alternative object-oriented programming languages. Experience developing production software is a bonus.
  • Ideally, a higher degree holder in a quantitative discipline (e.g., computer science, economics, mathematics, statistics, physics, electrical engineering, industrial engineering).
  • You ideally have experience in Computer Vision and Recommendation Systems, although not essential
  • You are a strong communicator and enjoy collaborative team work
We're looking for a Lead Data Scientist to come on board and join our New York Data team!
Job tags: Computer Vision Deep Learning Economics Engineering Industrial Machine Learning Python Research