About the role
Cesar S.p.A. is building a new Data Science team to support the Acqua & Sapone and La Saponeria retail brands. In this role, you will work with business teams to turn operational needs into analytics and data science problems, then develop models and tools that support areas such as demand forecasting, supply chain, promotions, loyalty, pricing and store expansion. The work is greenfield, taking solutions from experimentation through adoption and integration into business processes.
Applicants should have at least three years of data science experience, strong Python and SQL skills, and grounding in machine learning, statistics and AI. Experience with retail or transactional data is relevant. The position is based in Milan, with periodic travel to the Pescara office, indicatively at least one week per month. Cesar offers a permanent contract under the Italian CCNL DMO; compensation depends.
Highlights
- Build models and analytical tools for a large retail network.
- Work across forecasting, promotions, pricing, loyalty and store planning.
- Contribute to a newly forming team and greenfield solutions.
- Collaborate directly with business stakeholders from experimentation to adoption.
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