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GUCCI Digital Data Scientist

Gucci - Regular
MILANO - Italy

Role Mission We are looking for an eclectic Data Scientist with competencies spreading from data engineering and data analysis to data modeling. The Data Scientist will be a fundamental member of a cross functional Digital Analytics team composed of Data Scientists and Data Analysts. This role 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 10^12 – 10^13 bytes, and will be collaborating with other departments such as Digital Development Teams, Global Media, Customer Service, BI Engineers both at Gucci and Kering level.

Key Accountabilities

She/he will be carrying on the following activities:

  • Build robust and efficient production data pipelines, ETL and EL workflows and optimize current ones, to assure continuous delivery of accurate and quality KPIs to end users.
  • Prototype, develop and operationalize ML models to improve Customer Experience and Conversion Probability, working with Product Development teams.
  • Generate insights using multiple data sources from our on-premises and cloud IT, create compelling stories using Powerpoint and Jupyter Notebooks, support Business leadership with ad hoc analysis.
  • Design, deploy and maintain scalable dashboards for the top management and other internal/external stakeholders, with a focus on the backend data infrastructure.
  • Improve and optimize current web KPIs and alert-systems using automation techniques and machine learning, write programming code ready to be integrated in production, contribute to the creation and improvement of new data sources.
  • Be a pivotal player involved in all the data science projects across the organization, working with PMs, Engineers and Analysts from different departments both at Gucci and Kering level.
  • Be a Data Science evangelist, spreading analytics culture at different levels, from code readability and documentation, to storytelling and knowledge sharing.

Job Requirements:

  • At least 3 years of experience in Data Scientist / Data Engineering roles, in fast paced environments.
  • Programming proficiency in Python and data analysis modules : Pandas, NumPy, SciPy, StatsModels and Scikit-Learn.
  • Good knowledge of SQL/DML with a focus on scalability, building fast and efficient queries or data structures (indexing, clustering and partitioning).
  • Data engineering skills, ETL, EL, data pipelines (batch and stream jobs) and relative technologies.
  • Cloud computing, mainly GCP. Experience on AWS appreciated.
  • Knowledge of Data visualization tools such as Data Studio and Tableau.
  • Experience with web APIs.
  • Experience in operationalization of Machine Learning models and virtualization frameworks such as Docker.
  • Ability to create and manage cross functional relationships.
  • Positive, enthusiastic, able to take initiative with a geek-can-do attitude.
  • Proficient in English (both written and spoken).

Nice-to-have:

  • Previous experience in a Data science consultancy team, or Digital Marketing units is a big plus.
  • Knowledge of one or more of the following Apache frameworks: Airflow, Beam, Spark.
  • Experience with Google Cloud Platform Services: GCS, Pub/Sub, Cloud Functions, Composer, Data Flow and Big Query.
  • Experience in one or more of the following tools: Google Tag Manager, Google Cloud Platform, Firebase, G4, MicroStrategy.
  • Expertise with Machine Learning supervised (linear, non-linear regression, ensemble decision trees, gradient descent boosting) and unsupervised models (K-means clustering).
  • Knowledge of other Machine Learning/AI fields (neural networks, natural language processing, association rules etc..).
  • Other programming languages (Bash and JavaScript are very important for us).
  • Full time
  • Europa
  • Italy
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