Data Science Specialist

1 giorno fa

Milano, Lombardia, Italia Prada Group A tempo pieno

Founded in 1913, the Prada Group has established itself as a leader in innovation and excellence. Our iconic brands, including PRADA, Miu Miu, Church's, Car Shoe, and Pasticceria Marchesi, operate in over 45 countries, embracing a diverse workforce of more than 100 nationalities.

We are seeking a Data Science Specialist to join our corporate Data & Analytics Team, based in Milan. The ideal candidate will lead the development and management of data science and AI projects, addressing real-world business challenges across all company departments.

Key Responsibilities

  • Design and implement data science solutions for sales forecasting and stock management, collaborating with key stakeholders to build predictive models and analytics tools.
  • Lead the development and industrialization of forecasting projects, working with cross-functional teams to understand business needs and translate them into scalable, data-driven solutions.
  • Deliver ad hoc analyses and insights, providing actionable recommendations to optimize processes and drive business results.
  • Build and deploy highly efficient and scalable ETL and data manipulation processes using big data and cloud technologies.
  • Develop and maintain robust data pipelines to support continuous improvement and scalability.
  • Monitor the performance of models over time, proactively identifying opportunities for adjustments or improvements to enhance accuracy and effectiveness.
  • Provide training and support to stakeholders on how to use data science models and interpret their outputs for strategic decision-making.

Requirements

A Master's degree in a highly quantitative field or equivalent experience is required. The ideal candidate will have 2+ years of industry experience in forecasting modeling, data science, and analytics, with advanced proficiency in Python and PySpark, and knowledge of SQL.

Fluency in both Italian and English, written and spoken, is essential for this role.

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