Data Scientist, Recommendations

Farfetch (NYSE: FTCH)

  • Location
    • London
  • Date Posted
  • 23 Jun 2020
  • Function
  • Data Science
  • Sector
  • Retail

The role

Farfetch is building the next-generation intelligent platform for online luxury fashion, powered by large-scale data and state of the art Machine Learning, Deep Learning and Computer Vision algorithms. You will join a talented team of Data Scientists, Engineers and Product designers to help build and optimize, through research and experimentation, our data-driven products.

What you'll do

  • Develop and maintain data pipelines and feature engineering
  • Design and develop state of the art algorithms in the area of Recommender systems;
  • Conduct practical research with a scientific mindset, and a focus on delivery;
  • Work closely with the engineering team to integrate ML algorithms into the platform;
  • Engage with business stakeholders, product managers and designers to help deliver a shared vision of a luxury fashion recommender system
  • Scientific and technical publications are possible and encouraged.

Who you are

  • MSc or PhD in a quantitative discipline: Machine Learning, Computer Science, Statistics, Applied Mathematics, Physics or related areas.
  • Experience in both data engineering and data science modelling is a plus
  • Hands-on experience with Recommender Systems. Practical contact with large-scale recommender systems in production is a plus.
  • Knowledge of online testing methodologies (AB Testing, Multi-armed bandits). Experience designing and analysing online experiments is highly valued.
  • Fluent in Python and common numerical and ML packages (NumPy, SciPy, Scikit-Learn, Pandas, Keras, TensorFlow, PyTorch, PySpark). Experience developing production software is a plus.
  • Experience dealing with large amounts of data and knowledge of big data technologies is a plus (Spark, Hive, Hadoop, DataBricks).
  • Strong English skills, both written and spoken.