• Location
    • Shanghai
  • Date Posted
  • Aug. 23, 2021
  • Function
  • Data Science
  • Sector
  • Retail

The role

We are looking for a Data Scientist to join Farfetch in building the next-generation intelligent platform for online luxury fashion, powered by large-scale data and state of the art Machine Learning, Deep Learning, Information Retrieval, Computer Vision and Natural Language Processing 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

  • Design and develop state of the art algorithms in these domains: Natural Language Processing (NLP), Information Retrieval (IR) with a focus on search relevance, Ranking or Computer Vision.
  • Conduct practical research with a scientific mindset, and a focus on delivery;
  • Build large scale data pipelines;
  • Work closely with the engineering team to integrate machine learning (ML) algorithms into the platform;
  • Help in the design of new features in the product, and drive innovation inside the company;
  • Work on Search & Discovery or Ranking based on business needs;

Who you are

  • MSc or Ph.D. in a quantitative discipline or related topics: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, Machine learning, Natural language processing, Computer Vision, Signal Processing, Speech Processing or Optimization;
  • Minimum of 2 years’ experience in a Data Science related role, preferably working within a Retail and E-commerce environment;
  • Fluent in Python and Data Science & ML packages (Pandas, nltk, spacy, sci-kit-learn, , gensim, keras, TensorFlow, PyTorch);
  • Knowledge in at least one of the following subjects:
  • Word Embeddings (e.g., GloVe, Word2Vec), Named Entity Recognition models;
  • Information Retrieval, Learning to Rank (e.g., RankNet, ListNet), algorithm performance metrics (e.g., NDCG);
  • Convolutional Neural Networks(e.g., InceptionV3,RetinaNet);
  • Search (Elasticsearch, Lucene, relevance matching);
  • Used to building and delivering ML products; Used to dealing with large amounts of data and building data pipelines
  • A strong English communicator (both written and spoken);