Data Marketing Scientist

01 ago - Italia
Luxottica

If you’ve worn a pair of glasses, we’ve already met.
We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. We offer our industry stakeholders in over 150 countries access to a global platform of high-quality vision care products (such as the Essilor brand, with Varilux, Crizal, Eyezen, Stellest and Transitions), iconic brands that consumers love (such as Ray-Ban, Oakley, Persol, Oliver Peoples, Vogue Eyewear and Costa), as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences (such as Sunglass Hut, LensCrafters, Salmoiraghi & Viganò and the GrandVision network), and leading e-commerce platforms.
Are you willing to pioneer new frontiers, foster inclusivity and collaboration, embrace agility, ignite passion, and make a positive impact on the world? The Data Scientist is responsible for the design, development and industrialization of scalable machine learning solutions across EssilorLuxottica’s value chain.



The role ensures the delivery of production-grade AI systems integrated into business processes, generating measurable impact.
The position works in close collaboration with multiple business functions.
Design, develop, and deploy end-to-end machine learning solutions, ensuring scalability, reliability, and performance
Build and maintain data pipelines, feature engineering workflows, and model training processes
Manage the full ML lifecycle, including validation, deployment, monitoring, and retraining
Partner closely with business stakeholders to translate business requirements into technical solutions
Identify and deliver high-impact AI use cases aligned with enterprise priorities
Contribute to scalable ML frameworks and reusable components for enterprise-wide deployments

Ensure adoption of MLOps best practices (versioning, monitoring, observability, continuous improvement)
Guarantee compliance with data governance, security, and quality standards
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