Senior Data Scientist

CN Shanghai

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Farfetch
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Posted 1 month 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.
ShanghaiOur Shanghai office is in the best commercial and recreational area in the heart of downtown Shanghai, which is home to our Marketing, Commercial, Technology and Operations teams. We overlook the Jingan sculpture park & Shanghai natural history museum and enjoy stunning views of Shanghai skyline.
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);
Job tags: Computer Vision Deep Learning Engineering Keras Machine Learning Marketing ML NLP NLTK Pandas Python PyTorch Research spaCy TensorFlow