Senior Data Scientist - FARFETCH

Location
CN Shanghai
Posted
21 Aug 2020
Closes
08 Dec 2021
Ref
eabd130c-4762-49f4-aa02-7dc4b54e7df5
Function
Technology
Hours
Full Time
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);
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