Data Marketing Scientist

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7geaj7

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.

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The Data Scientist is responsible for the design, development and industrialization of scalable machine learning solutions across EssilorLuxottica’s value chain. 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
forecasting, customer intelligence, computer vision, generative AI)
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
Collaborate with cross-functional teams including data scientists, engineers, and product stakeholders

Master’s degree or PhD in Computer Science, Engineering, Mathematics, or related field
Minimum 5 years of experience in Machine Learning Engineering or similar roles
Strong proficiency in Python and ML frameworks (e.g., Experience with cloud platforms (Azure preferred) and data architectures
Solid software engineering skills (APIs, system design, version control)
Fluent English

What

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7geaj7