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Gucci Data Science Analyst

Gucci - Regular
MILANO - Italy

We are looking not only for dreamers, but for Dream-makers! At Gucci you will be able to transform your dreams into something real, adding your contribution to the fashion world. In this role you will work with state-of-the-art technologies for data analysis and engineering, such as cloud computing, ETL-EL frameworks, extensive use of APIs, running and optimizing daily data operations in the order of 1012 - 1013 bytes. You will be supporting and collaborating with multiple departments such as Digital Development Teams, Global Data Science Team, BI Engineers both at Gucci and Kering level.

Key accountabilities

  • You will explore ways to enhance data quality, reliability, and identifying opportunities in the digital domain for new data acquisition.
  • You will be responsible extract, analyse, and interpret data using multiple data sources and statistical techniques to deliver insights to drive business value and decisions across multiple departments.
  • You will prototype, develop, and operationalise ML models to improve Customer Experience across different digital touchpoints and Conversion Probability, working closely with the Digital Department teams.  
  • You will build robust and efficient data pipelines, ETL and EL workflows and optimising the existing ones, to assure continuous delivery of accurate KPIs to the end users.
  • You will be a data evangelist, spreading analytics culture at different levels and across teams, from coding standards and knowledge sharing to storytelling.
  • You will be learning new skills in data analyses, programming and data visualisation and adapt them to different business problems.

About you

We are looking for candidates with at least 5 years of experience as Data Analyst/Scientist with the following skills:

  • Proven analytical skills, with statistical and modelling competencies.
  • Programming proficiency in Python and data analysis modules (e.g. Pandas, NumPy, SciPy).
  • Strong hands-on experience in techniques including machine learning models, attribution modelling, or forecasting.
  • Strong background in SQL/DML with a focus on scalability, building fast and efficient queries or data structures.
  • Data engineering: ETL, EL, data pipelined (batch and steam jobs) and relative technologies. Experience with web APIs appreciated.
  • Focus on business value of the delivered work.
  • Excellent written and verbal communication skills.
  • Proficient in English.

We are passionate makers, thought leaders, dreamers. 

If you feel like us, grab this chance and be part of our community! 

  • Full time
  • Europe
  • Italy
Apply

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