Senior Data Scientist

7 months ago
Job ID
# of Openings
IT-Milan/Zola Predosa
Corporate Functions


Technology is at the heart of YOOX NET-A-PORTER GROUP and is the driving force behind its success. Our in-house technology team allows The Group to give customers and brand partners the best possible experience across content and commerce, and to continually innovate and lead the online luxury industry.


Role Purpose:


As a senior member of the Data Science and Analytics team, you will help shape how YOOX NET-A-PORTER GROUP puts data at the heart of its business. You will use, and mentor others using, a range of advanced data science and analytical techniques to deliver data driven initiatives, driving the change in the business at both a strategic and tactical level. You will engage all areas of the business to understand their needs and identify and prioritise opportunities where data science algorithms and insight can have an impact. You will play a key role in building a new capability within the business and developing it to become a leader in data.


Key Responsibilities:


  • Able to abstract complex business problems and determine how to use a combination of data to provide a clear, actionable and business-driven answer in a clear, compelling way
  • Able to apply a vast range of machine learning, statistical, engineering techniques in order to solve business problems
  • Support junior members of the team to develop their technical expertise and delivery skills
  • Deliver end to end project, from scoping out the project with the business through to delivering the project back to the business
  • Manage priorities of data science and analytics team projects across the brands
  • Champion the development & implementation of new methods and best practices to grow the team as a best-in-class Data Science and Analytics team in the wider industry
  • Work with business to ensure the recommendations of the project are being followed through
  • Raise the internal profile and value of the team to the wider business
  • Partner with teams in technology to develop the right data, toolsets & platform to enable the benefits of the team’s work to be realised by the business



Skills and Experience:

Must Haves:

  • SQL / HiveQL
  • R / Python
  • Statistics / Data mining experience
  • Big Data Technology experience
  • Machine Learning
  • Experimental design
  • Insight story-telling
  • Mathematical or numerate degrees
  • Post graduate degree in data science, maths, statistics, physics

Experience of:

  • Visualisation / reporting capabilities
  • BI / Analytical tools
  • Spark
  • Automation capabilities

Nice to haves:

  • Customer/Loyalty analysis
  • Retail, ecommerce or the fashion industry
  • Online marketing analytics and activation


Location: Milano or Bologna (Zola Predosa)

Please send your CV in English (preferably 2 pages, and if you want to send a cover letter 1 page)


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