Senior Data Scientist - Retail Merchandising

Job description

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. Join our global community of over 190,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry. Discover more by following us on LinkedIn ! Your #FutureInSight with EssilorLuxottica Are you willing to pioneer new frontiers, foster inclusivity and collaboration, embrace agility, ignite passion, and make a positive impact on the world? Join us in redefining the boundaries of what’s possible. Your role We are looking for an experienced and business-driven Senior Data Scientist with a strong passion for data, analytics and AI. This role is ideal for a professional who enjoys leading end-to-end data science initiatives, shaping the analytical strategy, and enabling data-driven decision-making across the organization, with a focus on Retail and the DTC Category Management & Merchandising domain. The ideal candidate combines strong analytical and Machine Learning expertise with leadership capabilities, and is able to translate complex data into strategic insights for Retail. You will work closely with business, Corporate AI and BI stakeholders, playing a key role in bridging data and decision-making, and driving the evolution of advanced analytics AI capabilities within the DTC Category Management & Merchandising organization. Main responsibilities: Design, develop, and deploy advanced data science and AI solutions, including machine learning models, forecasting, optimization algorithms, and intelligent systems Develop AI-powered tools and applications (e.g., recommendation systems, forecasting models, decision engines) tailored to retail and assortment use cases Explore and implement Generative AI and agent-based solutions to enhance business processes and customer experience, in collaboration with the Corporate AI team Lead end-to-end data science projects, from problem framing and data exploration to model deployment and monitoring on Databricks (PySpark, MLflow) Translate complex business problems into scalable analytical and AI solutions with measurable impact. Collaborate with business stakeholders to identify high-value opportunities for innovation and experimentation Work closely with Corporate Data & AI teams to ensure robust and scalable implementation of solutions Continuously evaluate and adopt new technologies, tools, and methodologies. Contribute to building best practices, frameworks, and reusable components for advanced analytics and AI development Act as a senior individual contributor and informal mentor, supporting knowledge sharing within the team Development of tracking dashboards to Monitor Adoption of our Tools/Solutions Main requirements: Degree in Data Science, Computer Science, Engineering, Mathematics, or related fields Solid experience (typically 4–7+ years) in data science / AI roles with hands-on end-to-end project delivery. Strong programming skills in Python and experience with Data Science and ML frameworks (pandas, scikit-learn, PyTorch). Advanced knowledge in SQL and relational and lakehouse data models. Proven experience in building and deploying machine learning models in production environments on Databricks (PySpark, MLflow) Experience with advanced analytics techniques (e.g., forecasting, optimization, NLP, recommendation systems) Strong problem-solving skills and ability to independently drive complex initiatives end-to-end, including mentoring more junior colleagues. Ability to translate business needs into technical solutions with tangible impact Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders Strong collaborator and teamwork member, reference for mentoring more junior colleagues by sharing best practices and knowledge. Nice to Have: Experience in retail analytics or customer-centric use cases (e.g., assortment planning, demand forecasting, personalization) in the eyewear or luxury industry Familiarity with Generative AI and developing multi-agent systems, with exposure to experiment design. Familiarity with MLOps practices and tools (CI/CD, model monitoring, feature stores, versioning) Knowledge of cloud platforms (e.g., Azure preferred) and optimization solvers. Experience with data modelling techniques (e.g., medallion architecture, Kimball dimensional modelling) Proven experience in building and operating data pipelines in production environments on Databricks (Delta Lake, Unity Catalog) Experience with real-time data applications and data visualization with Python (Plotly, Streamlit) or BI tools such as Microsoft Power BI Product-oriented mindset or experience working in innovation labs / fast-paced environments What’s in it for you In EssilorLuxottica, you are not defined just by your job title. Each career adventure is unique; have a glimpse of some of the benefits you will enjoy as a successful candidate: Access to our cutting-edge learning platform, Leonardo, and personalized development programs to help you grow professionally and personally. Enjoy flexible work conditions, health insurance coverage, ticket restaurants, internal rooftop canteen. Access special offers for employees on a vast range of eyewear, eye care products, and fashion apparel, so you can enjoy our world-class brands firsthand. Enjoy our “Disconnect Program” a holistic approach to work-life balance, including initiatives for mental health, yoga, jogging sessions, and more, designed to help you recharge and stay healthy. Recruiting process Our recruitment process may vary; If you are selected, you will be contacted by our recruiters to guide you through the specific steps for your application Salary Package: Annual Gross Salary: 43.000 Eur – 60.000 Eur Performance Bonus: An additional Management by Objectives (MBO) bonus as percentage of the annual gross salary. Comprehensive Benefits Package: Supplementary Health insurance coverage Supplementary Pension Plan Access to the EssilorLuxottica Corporate Welfare Catalog Transportation – Discounted pass Meal Vouchers as per company guidelines Exclusive employee discounts on company products Company-provided laptop and mobile phone Our Diversity, Equity and Inclusion commitment​ We are committed to creating an inclusive environment for all employees. We celebrate diversity and provide equal opportunities to all, regardless of race, gender, ethnicity, religion, disability, sexual orientation, or any other characteristic that makes us unique.