Lead Data Scientist - NLP
Porto, PT
há 4 dias

The role

We are looking for a Lead 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 optimise our data-driven products, through research and experimentation in Search & Discovery.

While we have many projects in delivery, we also keep a heavy focus on research, so that we always know what the best solution for a given problem is.

We are looking for someone who is a self-starter, with relevant experience successfully leading teams and developing people.

What you'll do

  • Apply advanced machine learning and Natural Language Processing (NLP) techniques to drive business decisions;
  • Mentor and help develop team members while keeping the focus on goals and deliverables;
  • Empower the team and help guide research and development, with senior of novel intelligent approaches and solutions for the Search ecosystem;
  • Help the business define Data Science strategy and work on new ways to make the most of data;
  • Work closely with the engineering team members 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 through the use of disruptive technologies;
  • Help find new talent for building the next-generation of Farfetch data scientists;
  • Scientific and technical publications are possible and encouraged.
  • Who you are

  • Preferably have a MSc or PhD in related topics such as Machine Learning, Natural Language Processing, Information Retrieval, Signal Processing, Speech Processing or Optimization;
  • Minimum of 5 years’ experience in a Data Science related role, preferably in a leadership role;
  • Good understanding of NLP and text mining techniques such as fuzzy string matching, spellcheck, word embeddings, advanced text encodings (ELMo, BERT), synonyms discovery, Named-Entity Recognition (NER), and Entity Linking (EL);
  • Fluent in Python, common numerical and Math & ML packages (NumPy, SciPy, scikit-learn, pandas, Keras, TensorFlow, PyTorch);
  • Knowledge on eCommerce Search or Semantic Search is a plus;
  • Strong communication skills, both written and spoken, English mandatory;
  • Be interested to keep up to date with scientific advancements.
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