Senior Data Scientist - Search & Discovery

Farfetch (NYSE: FTCH)

  • Location
    • Porto
  • Date Posted
  • 15 Apr 2021
  • Function
  • Data Science
  • Sector
  • Retail

We’re a Data team that does it all: big data engineering, state-of-the-art machine learning, and deep dive analytics and insight. We’re a diverse, global team who create innovative Data solutions to provide an unrivalled customer experience. Whether it’s churning gigabytes of ecommerce data, using AI to recommend the latest trends, or understanding our customers better than anyone else, we eat, sleep and breathe data so that we can drive Farfetch’s growth.

The role

We are looking for a Senior 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, 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 Natural Language Processing (NLP), Information Retrieval (IR) with a focus on search relevance.
  • Conduct practical research with a scientific mindset, and a focus on delivery;
  • 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;
  • Scientific and technical publications are possible and encouraged
  • Applicant should be interested to keep up to date with scientific advancements

Who you are

  • MSc or Ph.D. in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering.
  • 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, scikit-learn, gensim, keras, TensorFlow);
  • Good understanding of NLP (word embeddings, named-entity recognition, information extraction) and Search (Elasticsearch, Lucene, relevance matching);
  • Used to building and delivering ML products;
  • A strong English communicator (both written and spoken)

Work with a talented team of Data Scientists, Engineers, and Product Designers to help build and optimise our data-driven products, through research and experimentation in Natural Language Processing.