Data Science Manager - FARFETCH
FARFETCH Group
Porto, PT
há 3 dias

THE ROLE

Reporting to the Head of Data Science you will join Farfetch being part of building the next-generation intelligent platform for online luxury fashion, powered by large-scale data and Machine Learning, Deep Learning, Information Retrieval and Natural Language Processing algorithms.

You will join a team of Data Scientists, Engineers, and Product Managers to help build the algorithms we use to help customers browse and discover products online.

WHAT YOU'LL DO

  • Lead our teams of data scientists, creating a safe, inclusive workspace, that allows the team to develop advanced machine learning techniques to improve our ranking algorithms;
  • Line manage the Lead Data Scientist(s), and other data scientists directly, including mentoring the teams, supporting research and development, and creating opportunities for the continued development of everyone in the team;
  • Use your scientific reasoning and commercial understanding to balance our needs against technical constraints
  • Work with data analysts and product managers to understand the current state of our algorithms and identify future opportunities for improvement;
  • Help determine the strategy for Ranks, working together with Engineering, Infrastructure, Architecture and Product teams to ensure FARFETCH continues to merge the best of human expertise with top notch ML solutions.
  • WHO YOU ARE

  • A professional with a solid understanding of advanced Machine Learning techniques such as Deep Learning, Learning to Rank or Recommendation Systems, including common algorithm performance metrics;
  • 5 years experience in a Data Science related role, including at least 1 year experience in a management role, for example as a Lead Data Scientist
  • Fluent in Python, common numerical and Math & ML packages (NumPy, SciPy, scikit-learn, pandas, Keras, TensorFlow, PyTorch);
  • Familiarity with developing analytics pipelines for BI and data visualization tools (e.g., Looker, Tableau) is a plus
  • Prior experience in ecommerce, especially Search and & Ranking, is a plus
  • REWARDS & BENEFITS

  • Health insurance for the whole family, flexible working environment and well-being support and tools
  • Extra days off, sabbatical program and days for you to give back for the community
  • Training opportunities and free access to Udemy
  • Flexible benefits program
  • FARFETCH Equity plan
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